20 Senior Scientist jobs in Egypt
Data Scientist
Giza
IBM
Posted 4 days ago
Job Viewed
Job Description
**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
We are seeking a Data Scientist with expertise in Artificial Intelligence (AI) to join our team. In this role, you will leverage your strong data analysis skills and business acumen to address complex cognitive computing challenges. You will be responsible for developing and implementing advanced analytics solutions for both structured and unstructured data, with a specific focus on Natural Language Processing (NLP) and Machine Learning (ML) techniques. Your specialization in foundation models and large language models (LLMs) will enable you to design and deliver AI solutions using state-of-the-art technologies.
The ideal candidate will have experience with tools like GitHub Copilot and Amazon Code Whisperer, and possess a deep understanding of AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. You should be proficient in programming with Python and familiar with essential libraries such as SciKit Learn, Pandas, and Matplotlib. Additionally, experience with cloud platforms like AWS, Azure, or GCP and container orchestration tools such as Kubernetes is essential.
You will work with a range of relational and NoSQL databases (e.g., SQL, Postgres, DB2, MongoDB) and various operating systems (Linux, Windows, iOS, Android), and collaborate with modern UI frameworks (React.js, AngularJS, etc.). Your role will span the entire AI project lifecycle, from research and prototyping to deploying AI solutions in production environments. A strong foundation in one of the following areas is required: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies.
**Required technical and professional expertise**
* At least 5 years expertise in AI, particularly in NLP, Machine Learning, and foundation models.
* Proficiency in Python and AI frameworks
* Experienced in Java Springboot
* Strong background in databases (SQL, Postgres, MongoDB) and modern UI frameworks (React.js, AngularJS).
* Full AI project lifecycle experience, from research and prototyping to production deployment.
**Preferred technical and professional experience**
Hiring manager and Recruiter should collaborate to create the relevant verbiage.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
We are seeking a Data Scientist with expertise in Artificial Intelligence (AI) to join our team. In this role, you will leverage your strong data analysis skills and business acumen to address complex cognitive computing challenges. You will be responsible for developing and implementing advanced analytics solutions for both structured and unstructured data, with a specific focus on Natural Language Processing (NLP) and Machine Learning (ML) techniques. Your specialization in foundation models and large language models (LLMs) will enable you to design and deliver AI solutions using state-of-the-art technologies.
The ideal candidate will have experience with tools like GitHub Copilot and Amazon Code Whisperer, and possess a deep understanding of AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. You should be proficient in programming with Python and familiar with essential libraries such as SciKit Learn, Pandas, and Matplotlib. Additionally, experience with cloud platforms like AWS, Azure, or GCP and container orchestration tools such as Kubernetes is essential.
You will work with a range of relational and NoSQL databases (e.g., SQL, Postgres, DB2, MongoDB) and various operating systems (Linux, Windows, iOS, Android), and collaborate with modern UI frameworks (React.js, AngularJS, etc.). Your role will span the entire AI project lifecycle, from research and prototyping to deploying AI solutions in production environments. A strong foundation in one of the following areas is required: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies.
**Required technical and professional expertise**
* At least 5 years expertise in AI, particularly in NLP, Machine Learning, and foundation models.
* Proficiency in Python and AI frameworks
* Experienced in Java Springboot
* Strong background in databases (SQL, Postgres, MongoDB) and modern UI frameworks (React.js, AngularJS).
* Full AI project lifecycle experience, from research and prototyping to production deployment.
**Preferred technical and professional experience**
Hiring manager and Recruiter should collaborate to create the relevant verbiage.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
0
Data Scientist
Giza
IBM
Posted 5 days ago
Job Viewed
Job Description
**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
We are seeking a Data Scientist with expertise in Artificial Intelligence (AI) to join our team. In this role, you will leverage your strong data analysis skills and business acumen to address complex cognitive computing challenges. You will be responsible for developing and implementing advanced analytics solutions for both structured and unstructured data, with a specific focus on Natural Language Processing (NLP) and Machine Learning (ML) techniques. Your specialization in foundation models and large language models (LLMs) will enable you to design and deliver AI solutions using state-of-the-art technologies.
The ideal candidate will have experience with tools like GitHub Copilot and Amazon Code Whisperer, and possess a deep understanding of AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. You should be proficient in programming with Python and familiar with essential libraries such as SciKit Learn, Pandas, and Matplotlib. Additionally, experience with cloud platforms like AWS, Azure, or GCP and container orchestration tools such as Kubernetes is essential.
You will work with a range of relational and NoSQL databases (e.g., SQL, Postgres, DB2, MongoDB) and various operating systems (Linux, Windows, iOS, Android), and collaborate with modern UI frameworks (React.js, AngularJS, etc.). Your role will span the entire AI project lifecycle, from research and prototyping to deploying AI solutions in production environments. A strong foundation in one of the following areas is required: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies.
**Required technical and professional expertise**
* At least 5 years expertise in AI, particularly in NLP, Machine Learning, and foundation models.
* Proficiency in Python and AI frameworks
* Experienced in Java Springboot
* Strong background in databases (SQL, Postgres, MongoDB) and modern UI frameworks (React.js, AngularJS).
* Full AI project lifecycle experience, from research and prototyping to production deployment.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
We are seeking a Data Scientist with expertise in Artificial Intelligence (AI) to join our team. In this role, you will leverage your strong data analysis skills and business acumen to address complex cognitive computing challenges. You will be responsible for developing and implementing advanced analytics solutions for both structured and unstructured data, with a specific focus on Natural Language Processing (NLP) and Machine Learning (ML) techniques. Your specialization in foundation models and large language models (LLMs) will enable you to design and deliver AI solutions using state-of-the-art technologies.
The ideal candidate will have experience with tools like GitHub Copilot and Amazon Code Whisperer, and possess a deep understanding of AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. You should be proficient in programming with Python and familiar with essential libraries such as SciKit Learn, Pandas, and Matplotlib. Additionally, experience with cloud platforms like AWS, Azure, or GCP and container orchestration tools such as Kubernetes is essential.
You will work with a range of relational and NoSQL databases (e.g., SQL, Postgres, DB2, MongoDB) and various operating systems (Linux, Windows, iOS, Android), and collaborate with modern UI frameworks (React.js, AngularJS, etc.). Your role will span the entire AI project lifecycle, from research and prototyping to deploying AI solutions in production environments. A strong foundation in one of the following areas is required: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies.
**Required technical and professional expertise**
* At least 5 years expertise in AI, particularly in NLP, Machine Learning, and foundation models.
* Proficiency in Python and AI frameworks
* Experienced in Java Springboot
* Strong background in databases (SQL, Postgres, MongoDB) and modern UI frameworks (React.js, AngularJS).
* Full AI project lifecycle experience, from research and prototyping to production deployment.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
1
Data Scientist
Giza
IBM
Posted 5 days ago
Job Viewed
Job Description
**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
We are seeking a Data Scientist with expertise in Artificial Intelligence (AI) to join our team. In this role, you will leverage your strong data analysis skills and business acumen to address complex cognitive computing challenges. You will be responsible for developing and implementing advanced analytics solutions for both structured and unstructured data, with a specific focus on Natural Language Processing (NLP) and Machine Learning (ML) techniques. Your specialization in foundation models and large language models (LLMs) will enable you to design and deliver AI solutions using state-of-the-art technologies.
The ideal candidate will have experience with tools like GitHub Copilot and Amazon Code Whisperer, and possess a deep understanding of AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. You should be proficient in programming with Python and familiar with essential libraries such as SciKit Learn, Pandas, and Matplotlib. Additionally, experience with cloud platforms like AWS, Azure, or GCP and container orchestration tools such as Kubernetes is essential.
You will work with a range of relational and NoSQL databases (e.g., SQL, Postgres, DB2, MongoDB) and various operating systems (Linux, Windows, iOS, Android), and collaborate with modern UI frameworks (React.js, AngularJS, etc.). Your role will span the entire AI project lifecycle, from research and prototyping to deploying AI solutions in production environments. A strong foundation in one of the following areas is required: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies.
**Required technical and professional expertise**
* At least 5 years expertise in AI, particularly in NLP, Machine Learning, and foundation models.
* Proficiency in Python and AI frameworks
* Experienced in Java Springboot
* Strong background in databases (SQL, Postgres, MongoDB) and modern UI frameworks (React.js, AngularJS).
* Full AI project lifecycle experience, from research and prototyping to production deployment.
**Preferred technical and professional experience**
Hiring manager and Recruiter should collaborate to create the relevant verbiage.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
We are seeking a Data Scientist with expertise in Artificial Intelligence (AI) to join our team. In this role, you will leverage your strong data analysis skills and business acumen to address complex cognitive computing challenges. You will be responsible for developing and implementing advanced analytics solutions for both structured and unstructured data, with a specific focus on Natural Language Processing (NLP) and Machine Learning (ML) techniques. Your specialization in foundation models and large language models (LLMs) will enable you to design and deliver AI solutions using state-of-the-art technologies.
The ideal candidate will have experience with tools like GitHub Copilot and Amazon Code Whisperer, and possess a deep understanding of AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. You should be proficient in programming with Python and familiar with essential libraries such as SciKit Learn, Pandas, and Matplotlib. Additionally, experience with cloud platforms like AWS, Azure, or GCP and container orchestration tools such as Kubernetes is essential.
You will work with a range of relational and NoSQL databases (e.g., SQL, Postgres, DB2, MongoDB) and various operating systems (Linux, Windows, iOS, Android), and collaborate with modern UI frameworks (React.js, AngularJS, etc.). Your role will span the entire AI project lifecycle, from research and prototyping to deploying AI solutions in production environments. A strong foundation in one of the following areas is required: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies.
**Required technical and professional expertise**
* At least 5 years expertise in AI, particularly in NLP, Machine Learning, and foundation models.
* Proficiency in Python and AI frameworks
* Experienced in Java Springboot
* Strong background in databases (SQL, Postgres, MongoDB) and modern UI frameworks (React.js, AngularJS).
* Full AI project lifecycle experience, from research and prototyping to production deployment.
**Preferred technical and professional experience**
Hiring manager and Recruiter should collaborate to create the relevant verbiage.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
2
Data Scientist
Mansoura
Giza Systems EG
Posted today
Job Viewed
Job Description
**Responsibilities**:
- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state-of-the-art methods
- Extending company’s / customers’ data with third party sources of information when needed
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Doing ad-hoc analysis and presenting results in a clear manner
- Creating automated anomaly detection systems and constant tracking of its performance
- Prepares / Reviews low-level design.
- Preparing unit test cases and writing unit test code.
- Writing automated build and execution scripts for software artifacts.
- Writing automated deployment scripts for software artifacts.
- Fixing software bugs reported by internal and external testing teams.
- Fixing bugs in open-source software supported by the company and software products developed by the company.
- Accountable for providing high quality software products and service
**Personal Skills**:
- Excellent communication skills
- Flexibility to work under pressure and in different environments.
- Problems solving skills.
- Leadership skills.
- Excellent organizational and administrative skills.
**Technical Skills**:
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
- Excellent understanding of classical machine learning and deep learning techniques, such as Naive Bayes, SVM, Random Forests, CNNs, RNNs, GANs, attention-based networks, etc.
- Excellent Coding Skills in Python is required and other coding knowledge and experience with other languages like Java, and R is highly desirable.
- Good applied statistical skills, such as distributions, statistical testing, regression, etc.
- Excellence at using common python data science packages like Scikit-Learn / NumPy / SciPy/ Matplotlib / Plotly.
- Experience with machine learning libraries in different languages is a plus like Weka, mlr3, ML in Matlab.
- Experience with data visualization tools, such as Plotly Dash, PowerBI, Tableau, etc.
- Proficiency in using query languages such as SQL
- Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Neo4J, ArangoDB.
- Hands-On Experience with Time-Series data.
- Hands-On Experience with NLP Tasks.
- Familiarity with Cloud ML Engines such as Amazon Sage Maker is a preferred.
- Familiarity with Teradata Analytics and/or Cloudera data platform is a huge plus.
- Proven hands-on experience in dealing with a variety of machine learning tasks and data types including tabular, time-series, image, and sequential data.
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- Supervised Machine Learning
- Unsupervised Machine Learning
- Python
- Apache Spark
- SQL
- NoSQL
- Time-Series Analysis
- Deep Learning
- Natural Language Processing
**Education**:
- Bachelor’s degree or equivalent experience. Preferred Computer science or engineering.
**Job Details**:
Job Location
Cairo, Egypt
Company Industry
IT Services
Company Type
Employer (Private Sector)
Job Role
Engineering
Employment Type
Employee
Job Division
COO Office
SW Engineering
Career Level
Mid Career
Years of Experience
Min: 3 Max: 5
Degree
Bachelor's degree
- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state-of-the-art methods
- Extending company’s / customers’ data with third party sources of information when needed
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Doing ad-hoc analysis and presenting results in a clear manner
- Creating automated anomaly detection systems and constant tracking of its performance
- Prepares / Reviews low-level design.
- Preparing unit test cases and writing unit test code.
- Writing automated build and execution scripts for software artifacts.
- Writing automated deployment scripts for software artifacts.
- Fixing software bugs reported by internal and external testing teams.
- Fixing bugs in open-source software supported by the company and software products developed by the company.
- Accountable for providing high quality software products and service
**Personal Skills**:
- Excellent communication skills
- Flexibility to work under pressure and in different environments.
- Problems solving skills.
- Leadership skills.
- Excellent organizational and administrative skills.
**Technical Skills**:
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
- Excellent understanding of classical machine learning and deep learning techniques, such as Naive Bayes, SVM, Random Forests, CNNs, RNNs, GANs, attention-based networks, etc.
- Excellent Coding Skills in Python is required and other coding knowledge and experience with other languages like Java, and R is highly desirable.
- Good applied statistical skills, such as distributions, statistical testing, regression, etc.
- Excellence at using common python data science packages like Scikit-Learn / NumPy / SciPy/ Matplotlib / Plotly.
- Experience with machine learning libraries in different languages is a plus like Weka, mlr3, ML in Matlab.
- Experience with data visualization tools, such as Plotly Dash, PowerBI, Tableau, etc.
- Proficiency in using query languages such as SQL
- Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Neo4J, ArangoDB.
- Hands-On Experience with Time-Series data.
- Hands-On Experience with NLP Tasks.
- Familiarity with Cloud ML Engines such as Amazon Sage Maker is a preferred.
- Familiarity with Teradata Analytics and/or Cloudera data platform is a huge plus.
- Proven hands-on experience in dealing with a variety of machine learning tasks and data types including tabular, time-series, image, and sequential data.
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- Supervised Machine Learning
- Unsupervised Machine Learning
- Python
- Apache Spark
- SQL
- NoSQL
- Time-Series Analysis
- Deep Learning
- Natural Language Processing
**Education**:
- Bachelor’s degree or equivalent experience. Preferred Computer science or engineering.
**Job Details**:
Job Location
Cairo, Egypt
Company Industry
IT Services
Company Type
Employer (Private Sector)
Job Role
Engineering
Employment Type
Employee
Job Division
COO Office
SW Engineering
Career Level
Mid Career
Years of Experience
Min: 3 Max: 5
Degree
Bachelor's degree
This advertiser has chosen not to accept applicants from your region.
3
Data Scientist
Government Consulting Solutions, LLC
Posted today
Job Viewed
Job Description
**Key Responsibilities**:
- Automate, review, and labeling of overhead imagery.
- Help develop and employ machine learning algorithms, including object detection.
- Programming in Python.
- Use algorithms from academia such as CNN MIL, DETR and data sets such as Resner-50 to improve automated target detection.
- Report finding to client and IC community.
**Basic Qualifications**:
- Bachelor of Science degree in Software Engineering, Computer Science or related field
- 5 Years of Experience in a related field
- Current TS/SCI
- Proficiency in Python programming
- Proficiency in computer vision and image processing
- Familiarity with object detection with weak labels and multiple instance learning.
- Excellent communication skills are a must.
**Preferred Qualifications**:
- Experience in AI/ML processing for target detection
- Experience in software development, including Agile process model
- Automate, review, and labeling of overhead imagery.
- Help develop and employ machine learning algorithms, including object detection.
- Programming in Python.
- Use algorithms from academia such as CNN MIL, DETR and data sets such as Resner-50 to improve automated target detection.
- Report finding to client and IC community.
**Basic Qualifications**:
- Bachelor of Science degree in Software Engineering, Computer Science or related field
- 5 Years of Experience in a related field
- Current TS/SCI
- Proficiency in Python programming
- Proficiency in computer vision and image processing
- Familiarity with object detection with weak labels and multiple instance learning.
- Excellent communication skills are a must.
**Preferred Qualifications**:
- Experience in AI/ML processing for target detection
- Experience in software development, including Agile process model
This advertiser has chosen not to accept applicants from your region.
4
Data Scientist
Government Consulting Solutions, LLC
Posted today
Job Viewed
Job Description
**Key Responsibilities**:
- Automate, review, and labeling of overhead imagery.
- Help develop and employ machine learning algorithms, including object detection.
- Programming in Python.
- Use algorithms from academia such as CNN MIL, DETR and data sets such as Resner-50 to improve automated target detection.
- Report finding to client and IC community.
**Basic Qualifications**:
- Bachelor of Science degree in Software Engineering, Computer Science or related field
- 5 Years of Experience in a related field
- Current TS/SCI
- Proficiency in Python programming
- Proficiency in computer vision and image processing
- Familiarity with object detection with weak labels and multiple instance learning.
- Excellent communication skills are a must.
**Preferred Qualifications**:
- Experience in AI/ML processing for target detection
- Experience in software development, including Agile process model
- Automate, review, and labeling of overhead imagery.
- Help develop and employ machine learning algorithms, including object detection.
- Programming in Python.
- Use algorithms from academia such as CNN MIL, DETR and data sets such as Resner-50 to improve automated target detection.
- Report finding to client and IC community.
**Basic Qualifications**:
- Bachelor of Science degree in Software Engineering, Computer Science or related field
- 5 Years of Experience in a related field
- Current TS/SCI
- Proficiency in Python programming
- Proficiency in computer vision and image processing
- Familiarity with object detection with weak labels and multiple instance learning.
- Excellent communication skills are a must.
**Preferred Qualifications**:
- Experience in AI/ML processing for target detection
- Experience in software development, including Agile process model
This advertiser has chosen not to accept applicants from your region.
5
Senior Scientist
Abbott Laboratories
Posted today
Job Viewed
Job Description
**Job Title**
**Senior Scientist**
**About Abbott**
Abbott is a global healthcare leader, creating breakthrough science to improve people’s health. We’re always looking towards the future, anticipating changes in medical science and technology.
**Working at Abbott**
At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You will have access to:
- Career development with an international company where you can grow the career you dream of.
- A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
- A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.
**The Opportunity**
This position works out of our Egypt Affiliate in the Established Pharmaceutical Division where we are committed to bringing the benefits of our trusted medicines to more people in the world’s fastest-growing countries. Our broad portfolio of high-quality and differentiated branded generic medicines reaches across multiple therapeutic areas including gastroenterology, women's health, cardiometabolic, pain management/central nervous system, and respiratory.
As the Senior Scientist, you’ll have the chance to Support EPD Operations in METAP-CIS region primarily in leading technology transfers, Alternate source qualifications till commercial launch, product remediations, addressing CMC queries at Abbott manufacturing facilities and Third-Party Manufacturers (TPM’s) in the region.
**What You’ll Do**:
- Lead product technology transfers in METAP-CIS region (It involves finished product dosage forms including Oral solids, Liquids, Injectables and topical dosage forms.)
- ASQ (Alternate API/ Excipient Supplier) qualifications, Localization Programs, Gross Margin Improvements, etc.
- Drive continuous improvement projects, process and formulation improvements, analytical improvements (remediation, development, and validation) and responding to technical issues resulting from manufacturing, compliance, or regulatory issues.
- Review of dossier and tech pack that supports in providing rapid and accurate evaluation of business opportunities like in-licensing, Acquisition, and distribution deals.
- Conceive, Plan, design and conduct process and product development in cases of reformulation and remediation of given products.
- Close collaboration with Manufacturing, Supply Chain, Commercial, Quality Assurance and Regulatory Affairs is critical to the success of this role.
- Works closely with the global product support work streams to implement global product strategies in the region and has the responsibility for the coordination of technical support for products outside of the globally coordinated work streams.
**Required Qualifications**
- Education: Master's degree
- Master’s degree in pharmacy or pharmaceutical sciences or allied branches or Science
- Years of experience: At least 12 years of experience primarily in technology transfers/ process development, preferably with R&D experience.
**Preferred Qualifications**
- other qualifications/certifications: PMP, LEAN, 6 Sigma
Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.
**Senior Scientist**
**About Abbott**
Abbott is a global healthcare leader, creating breakthrough science to improve people’s health. We’re always looking towards the future, anticipating changes in medical science and technology.
**Working at Abbott**
At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You will have access to:
- Career development with an international company where you can grow the career you dream of.
- A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
- A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.
**The Opportunity**
This position works out of our Egypt Affiliate in the Established Pharmaceutical Division where we are committed to bringing the benefits of our trusted medicines to more people in the world’s fastest-growing countries. Our broad portfolio of high-quality and differentiated branded generic medicines reaches across multiple therapeutic areas including gastroenterology, women's health, cardiometabolic, pain management/central nervous system, and respiratory.
As the Senior Scientist, you’ll have the chance to Support EPD Operations in METAP-CIS region primarily in leading technology transfers, Alternate source qualifications till commercial launch, product remediations, addressing CMC queries at Abbott manufacturing facilities and Third-Party Manufacturers (TPM’s) in the region.
**What You’ll Do**:
- Lead product technology transfers in METAP-CIS region (It involves finished product dosage forms including Oral solids, Liquids, Injectables and topical dosage forms.)
- ASQ (Alternate API/ Excipient Supplier) qualifications, Localization Programs, Gross Margin Improvements, etc.
- Drive continuous improvement projects, process and formulation improvements, analytical improvements (remediation, development, and validation) and responding to technical issues resulting from manufacturing, compliance, or regulatory issues.
- Review of dossier and tech pack that supports in providing rapid and accurate evaluation of business opportunities like in-licensing, Acquisition, and distribution deals.
- Conceive, Plan, design and conduct process and product development in cases of reformulation and remediation of given products.
- Close collaboration with Manufacturing, Supply Chain, Commercial, Quality Assurance and Regulatory Affairs is critical to the success of this role.
- Works closely with the global product support work streams to implement global product strategies in the region and has the responsibility for the coordination of technical support for products outside of the globally coordinated work streams.
**Required Qualifications**
- Education: Master's degree
- Master’s degree in pharmacy or pharmaceutical sciences or allied branches or Science
- Years of experience: At least 12 years of experience primarily in technology transfers/ process development, preferably with R&D experience.
**Preferred Qualifications**
- other qualifications/certifications: PMP, LEAN, 6 Sigma
Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.
This advertiser has chosen not to accept applicants from your region.
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6
Research Scientist Ii
Microsoft Corporation
Posted today
Job Viewed
Job Description
The AI for Good Lab is looking for data science and machine learning professionals to join a newly created office in Cairo. The lab’s mission is to use AI and data to address some of the greatest challenges facing humanity. We work on issues that will improve societies and environments with a focus on climate change, food security, and public health.
If you have experience in geospatial imagery, computer vision, statistics, and artificial intelligence, you have a fantastic opportunity to join the AI for Good team that is led by Microsoft’s Chief Data Scientist. As a member of the AI for Good Lab, you will come to work every day knowing you are working on projects that help save lives, alleviate suffering, and restore human dignity. Your work will be a fusion of analytical modeling, data engineering and collaboration with NGOs and government institutions. It is an unusual mix of skills, but you will have colleagues that are world-class applied researchers who have a genuine commitment to AI for Good. You will also have access to Microsoft’s technological resources and global scale to generate solutions to some of the most demanding and defining challenges of our time.
**Responsibilities**:
- Create machine learning solutions, including artificial intelligence, for a diverse set of problems, with an emphasis on geospatial analysis.
- Identify sources of data for use in artificial intelligence and statistical modeling
- Work closely with data analysts, data engineers, business and project stakeholders and incorporate their expertise into your analytical solutions.
- Partner with organizations outside Microsoft to help advance their efforts in addressing food security, environmental concerns, and health.
- Represent our capabilities and product offerings to internal and external leadership audiences, both technical and non-technical.
- Advance the research agenda for AI For Good initiatives: Prepare technical papers and presentations and publish them internally and externally. Our research philosophy encourages knowledge sharing so you will contribute to the AI for Good research community by publishing papers, collaborating with leading academic institutions, and speaking and participating at leading industry events.
**Qualifications**:
Required/Minimum Qualifications
- Master's Degree in relevant field AND 1+ year(s) related research experience.
Additional or Preferred Qualifications
- Ph.D. preferred.
- Experience with PyTorch or TensorFlow, particularly computer vision models.
- Experience with cloud-based architectures such as Azure or AWS.
- At least 2 years of experience in delivering insights and capabilities through data science, AI or machine learning techniques. E.g., neural networks, NLP, computer vision, random forests and other supervised methods, clustering, PCA, etc.
- At least 2 years of experience with a numerical programming language such as Python, C#, or similar.
- Familiarity with SQL.
- Research or strong experience in computational aspects of one or more of the following, or highly related, areas preferred: Bayesian modeling, causal inference methods, finite mixture models, generalized linear models, joint modeling, nonlinear mixed models.
- Experience framing and participating in data-driven business decisions, including measuring and evaluating outcomes.
- Excellent oral and written communication skills. The ability to translate data science to non-technical people at all levels.
- Working as part of a team, with proven ability to build trusted relationships. Demonstrated ability to work efficiently, prioritize workflow, and meet demanding deadlines.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
If you have experience in geospatial imagery, computer vision, statistics, and artificial intelligence, you have a fantastic opportunity to join the AI for Good team that is led by Microsoft’s Chief Data Scientist. As a member of the AI for Good Lab, you will come to work every day knowing you are working on projects that help save lives, alleviate suffering, and restore human dignity. Your work will be a fusion of analytical modeling, data engineering and collaboration with NGOs and government institutions. It is an unusual mix of skills, but you will have colleagues that are world-class applied researchers who have a genuine commitment to AI for Good. You will also have access to Microsoft’s technological resources and global scale to generate solutions to some of the most demanding and defining challenges of our time.
**Responsibilities**:
- Create machine learning solutions, including artificial intelligence, for a diverse set of problems, with an emphasis on geospatial analysis.
- Identify sources of data for use in artificial intelligence and statistical modeling
- Work closely with data analysts, data engineers, business and project stakeholders and incorporate their expertise into your analytical solutions.
- Partner with organizations outside Microsoft to help advance their efforts in addressing food security, environmental concerns, and health.
- Represent our capabilities and product offerings to internal and external leadership audiences, both technical and non-technical.
- Advance the research agenda for AI For Good initiatives: Prepare technical papers and presentations and publish them internally and externally. Our research philosophy encourages knowledge sharing so you will contribute to the AI for Good research community by publishing papers, collaborating with leading academic institutions, and speaking and participating at leading industry events.
**Qualifications**:
Required/Minimum Qualifications
- Master's Degree in relevant field AND 1+ year(s) related research experience.
Additional or Preferred Qualifications
- Ph.D. preferred.
- Experience with PyTorch or TensorFlow, particularly computer vision models.
- Experience with cloud-based architectures such as Azure or AWS.
- At least 2 years of experience in delivering insights and capabilities through data science, AI or machine learning techniques. E.g., neural networks, NLP, computer vision, random forests and other supervised methods, clustering, PCA, etc.
- At least 2 years of experience with a numerical programming language such as Python, C#, or similar.
- Familiarity with SQL.
- Research or strong experience in computational aspects of one or more of the following, or highly related, areas preferred: Bayesian modeling, causal inference methods, finite mixture models, generalized linear models, joint modeling, nonlinear mixed models.
- Experience framing and participating in data-driven business decisions, including measuring and evaluating outcomes.
- Excellent oral and written communication skills. The ability to translate data science to non-technical people at all levels.
- Working as part of a team, with proven ability to build trusted relationships. Demonstrated ability to work efficiently, prioritize workflow, and meet demanding deadlines.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
This advertiser has chosen not to accept applicants from your region.
7
Senior Research Scientist
Microsoft
Posted today
Job Viewed
Job Description
The AI for Good Lab is looking for data science and machine learning professionals to join a newly created office in Cairo. The lab’s mission is to use AI and data to address some of the greatest challenges facing humanity. We work on issues that will improve societies and environments with a focus on climate change, food security, and public health.
If you have experience in geospatial imagery, computer vision, statistics, and artificial intelligence, you have a fantastic opportunity to join the AI for Good team that is led by Microsoft’s Chief Data Scientist. As a member of the AI for Good Lab, you will come to work every day knowing you are working on projects that help save lives, alleviate suffering, and restore human dignity. Your work will be a fusion of analytical modeling, data engineering and collaboration with NGOs and government institutions. It is an unusual mix of skills, but you will have colleagues that are world-class applied researchers who have a genuine commitment to AI for Good. You will also have access to Microsoft’s technological resources and global scale to generate solutions to some of the most demanding and defining challenges of our time.
**Responsibilities**:
- Create machine learning solutions, including artificial intelligence, for a diverse set of problems, with an emphasis on geospatial analysis.
- Identify sources of data for use in artificial intelligence and statistical modeling
- Work closely with data analysts, data engineers, business and project stakeholders and incorporate their expertise into your analytical solutions.
- Partner with organizations outside Microsoft to help advance their efforts in addressing food security, environmental concerns, and health.
- Represent our capabilities and product offerings to internal and external leadership audiences, both technical and non-technical.
- Advance the research agenda for AI For Good initiatives: Prepare technical papers and presentations and publish them internally and externally. Our research philosophy encourages knowledge sharing so you will contribute to the AI for Good research community by publishing papers, collaborating with leading academic institutions, and speaking and participating at leading industry events.
**Qualifications**:
**Required/Minimum Qualifications**
- Doctorate in relevant field
- OR equivalent experience.
**Additional or Preferred Qualifications**
- Ph.D. preferred.
- Experience with PyTorch or TensorFlow, particularly computer vision models.
- Experience with cloud-based architectures such as Azure or AWS.
- At least 2 years of experience in delivering insights and capabilities through data science, AI or machine learning techniques. E.g., neural networks, NLP, computer vision, random forests and other supervised methods, clustering, PCA, etc.
- At least 2 years of experience with a numerical programming language such as Python, C#, or similar.
- Familiarity with SQL.
- Research or strong experience in computational aspects of one or more of the following, or highly related, areas preferred: Bayesian modeling, causal inference methods, finite mixture models, generalized linear models, joint modeling, nonlinear mixed models.
- Experience framing and participating in data-driven business decisions, including measuring and evaluating outcomes.
- Excellent oral and written communication skills. The ability to translate data science to non-technical people at all levels.
- Working as part of a team, with proven ability to build trusted relationships. Demonstrated ability to work efficiently, prioritize workflow, and meet demanding deadlines.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
If you have experience in geospatial imagery, computer vision, statistics, and artificial intelligence, you have a fantastic opportunity to join the AI for Good team that is led by Microsoft’s Chief Data Scientist. As a member of the AI for Good Lab, you will come to work every day knowing you are working on projects that help save lives, alleviate suffering, and restore human dignity. Your work will be a fusion of analytical modeling, data engineering and collaboration with NGOs and government institutions. It is an unusual mix of skills, but you will have colleagues that are world-class applied researchers who have a genuine commitment to AI for Good. You will also have access to Microsoft’s technological resources and global scale to generate solutions to some of the most demanding and defining challenges of our time.
**Responsibilities**:
- Create machine learning solutions, including artificial intelligence, for a diverse set of problems, with an emphasis on geospatial analysis.
- Identify sources of data for use in artificial intelligence and statistical modeling
- Work closely with data analysts, data engineers, business and project stakeholders and incorporate their expertise into your analytical solutions.
- Partner with organizations outside Microsoft to help advance their efforts in addressing food security, environmental concerns, and health.
- Represent our capabilities and product offerings to internal and external leadership audiences, both technical and non-technical.
- Advance the research agenda for AI For Good initiatives: Prepare technical papers and presentations and publish them internally and externally. Our research philosophy encourages knowledge sharing so you will contribute to the AI for Good research community by publishing papers, collaborating with leading academic institutions, and speaking and participating at leading industry events.
**Qualifications**:
**Required/Minimum Qualifications**
- Doctorate in relevant field
- OR equivalent experience.
**Additional or Preferred Qualifications**
- Ph.D. preferred.
- Experience with PyTorch or TensorFlow, particularly computer vision models.
- Experience with cloud-based architectures such as Azure or AWS.
- At least 2 years of experience in delivering insights and capabilities through data science, AI or machine learning techniques. E.g., neural networks, NLP, computer vision, random forests and other supervised methods, clustering, PCA, etc.
- At least 2 years of experience with a numerical programming language such as Python, C#, or similar.
- Familiarity with SQL.
- Research or strong experience in computational aspects of one or more of the following, or highly related, areas preferred: Bayesian modeling, causal inference methods, finite mixture models, generalized linear models, joint modeling, nonlinear mixed models.
- Experience framing and participating in data-driven business decisions, including measuring and evaluating outcomes.
- Excellent oral and written communication skills. The ability to translate data science to non-technical people at all levels.
- Working as part of a team, with proven ability to build trusted relationships. Demonstrated ability to work efficiently, prioritize workflow, and meet demanding deadlines.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
This advertiser has chosen not to accept applicants from your region.
8
Research Scientist Ii
Microsoft
Posted today
Job Viewed
Job Description
The AI for Good Lab is looking for data science and machine learning professionals to join a newly created office in Cairo. The lab’s mission is to use AI and data to address some of the greatest challenges facing humanity. We work on issues that will improve societies and environments with a focus on climate change, food security, and public health.
If you have experience in geospatial imagery, computer vision, statistics, and artificial intelligence, you have a fantastic opportunity to join the AI for Good team that is led by Microsoft’s Chief Data Scientist. As a member of the AI for Good Lab, you will come to work every day knowing you are working on projects that help save lives, alleviate suffering, and restore human dignity. Your work will be a fusion of analytical modeling, data engineering and collaboration with NGOs and government institutions. It is an unusual mix of skills, but you will have colleagues that are world-class applied researchers who have a genuine commitment to AI for Good. You will also have access to Microsoft’s technological resources and global scale to generate solutions to some of the most demanding and defining challenges of our time.
**Responsibilities**:
- Create machine learning solutions, including artificial intelligence, for a diverse set of problems, with an emphasis on geospatial analysis.
- Identify sources of data for use in artificial intelligence and statistical modeling
- Work closely with data analysts, data engineers, business and project stakeholders and incorporate their expertise into your analytical solutions.
- Partner with organizations outside Microsoft to help advance their efforts in addressing food security, environmental concerns, and health.
- Represent our capabilities and product offerings to internal and external leadership audiences, both technical and non-technical.
- Advance the research agenda for AI For Good initiatives: Prepare technical papers and presentations and publish them internally and externally. Our research philosophy encourages knowledge sharing so you will contribute to the AI for Good research community by publishing papers, collaborating with leading academic institutions, and speaking and participating at leading industry events.
**Qualifications**:
**Required/Minimum Qualifications**
- Master's Degree in relevant field AND 1+ year(s) related research experience.
**Additional or Preferred Qualifications**
- Ph.D. preferred.
- Experience with PyTorch or TensorFlow, particularly computer vision models.
- Experience with cloud-based architectures such as Azure or AWS.
- At least 2 years of experience in delivering insights and capabilities through data science, AI or machine learning techniques. E.g., neural networks, NLP, computer vision, random forests and other supervised methods, clustering, PCA, etc.
- At least 2 years of experience with a numerical programming language such as Python, C#, or similar.
- Familiarity with SQL.
- Research or strong experience in computational aspects of one or more of the following, or highly related, areas preferred: Bayesian modeling, causal inference methods, finite mixture models, generalized linear models, joint modeling, nonlinear mixed models.
- Experience framing and participating in data-driven business decisions, including measuring and evaluating outcomes.
- Excellent oral and written communication skills. The ability to translate data science to non-technical people at all levels.
- Working as part of a team, with proven ability to build trusted relationships. Demonstrated ability to work efficiently, prioritize workflow, and meet demanding deadlines.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
If you have experience in geospatial imagery, computer vision, statistics, and artificial intelligence, you have a fantastic opportunity to join the AI for Good team that is led by Microsoft’s Chief Data Scientist. As a member of the AI for Good Lab, you will come to work every day knowing you are working on projects that help save lives, alleviate suffering, and restore human dignity. Your work will be a fusion of analytical modeling, data engineering and collaboration with NGOs and government institutions. It is an unusual mix of skills, but you will have colleagues that are world-class applied researchers who have a genuine commitment to AI for Good. You will also have access to Microsoft’s technological resources and global scale to generate solutions to some of the most demanding and defining challenges of our time.
**Responsibilities**:
- Create machine learning solutions, including artificial intelligence, for a diverse set of problems, with an emphasis on geospatial analysis.
- Identify sources of data for use in artificial intelligence and statistical modeling
- Work closely with data analysts, data engineers, business and project stakeholders and incorporate their expertise into your analytical solutions.
- Partner with organizations outside Microsoft to help advance their efforts in addressing food security, environmental concerns, and health.
- Represent our capabilities and product offerings to internal and external leadership audiences, both technical and non-technical.
- Advance the research agenda for AI For Good initiatives: Prepare technical papers and presentations and publish them internally and externally. Our research philosophy encourages knowledge sharing so you will contribute to the AI for Good research community by publishing papers, collaborating with leading academic institutions, and speaking and participating at leading industry events.
**Qualifications**:
**Required/Minimum Qualifications**
- Master's Degree in relevant field AND 1+ year(s) related research experience.
**Additional or Preferred Qualifications**
- Ph.D. preferred.
- Experience with PyTorch or TensorFlow, particularly computer vision models.
- Experience with cloud-based architectures such as Azure or AWS.
- At least 2 years of experience in delivering insights and capabilities through data science, AI or machine learning techniques. E.g., neural networks, NLP, computer vision, random forests and other supervised methods, clustering, PCA, etc.
- At least 2 years of experience with a numerical programming language such as Python, C#, or similar.
- Familiarity with SQL.
- Research or strong experience in computational aspects of one or more of the following, or highly related, areas preferred: Bayesian modeling, causal inference methods, finite mixture models, generalized linear models, joint modeling, nonlinear mixed models.
- Experience framing and participating in data-driven business decisions, including measuring and evaluating outcomes.
- Excellent oral and written communication skills. The ability to translate data science to non-technical people at all levels.
- Working as part of a team, with proven ability to build trusted relationships. Demonstrated ability to work efficiently, prioritize workflow, and meet demanding deadlines.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
This advertiser has chosen not to accept applicants from your region.
9