14 Senior Data 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
Lead Data Scientist
Money Fellows
Posted today
Job Viewed
Job Description
ABOUT US
At Money Fellows we believe that there is only one way to build an outstanding organization; and that is to attract exceptionally talented people who are aligned with our mission, thrive on challenges and are passionate about problem-solving. Being a market leader in the digital FinTech space, we facilitate to our customers the easiest and fast digital financial solutions which can enhance their lives. We are operating now in Egypt with a clear vision towards expansion in the region. We aim to build an inspiring organization with an engaged and high performing culture. Joining the team now would mean that you could have a direct impact on the company’s growth trajectory. If you are hungry to make an impact and develop your skills in a dynamic environment, collaborating with like-minded people, we want to hear from you.
ABOUT THE ROLE:
Key responsibilities include:
- Selecting features, building and optimizing classifiers using machine learning techniques
- 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.
- Undertake pre-processing of structured and unstructured data.
- Analyze large amounts of information to discover trends and patterns.
- Present information using data visualization techniques.
- Propose solutions and strategies to business challenges.
- Collaborate with engineering and product development teams.
**Requirements**:
ABOUT YOU:
to work with agility in a fast-paced environment. They would also be insanely focused on
demonstrating excellence in service delivery and problem-solving, breaking down complex
information into understandable and actionable items. You will be an active and contributory.
member in People team, with a direct impact on the culture and business trajectory in your country.
Other qualifications include:
- BSc/BA in Computer Science, Engineering or relevant field.
- Proven experience as a Data Scientist or similar role (1+ year of experience).
- Good communication and reporting skills to present numbers and statistics clearly & simply.
- Strong organizational skills.
- Data-oriented personality & Analytical mind.
- Flexible self-learner that can adapt to a fast-paced environment.
- Problem-solving aptitude.
- Highly collaborative with a can-do attitude.
- Proven ability in working under high pressure, target-oriented with a successful track record.
- Knowledge with OKRs and how to achieve results within a specific budget.
**Benefits**
- Competitive salary
- Pension Plan scheme as per company policy
- Premium Family medical insurance
- Exclusive access to our circles with the ultimate credit limit and reserved 1st slots.
- unlimited annual leave policy
- Mentorship and career growth
- Entrepreneurial working environment
At Money Fellows we believe that there is only one way to build an outstanding organization; and that is to attract exceptionally talented people who are aligned with our mission, thrive on challenges and are passionate about problem-solving. Being a market leader in the digital FinTech space, we facilitate to our customers the easiest and fast digital financial solutions which can enhance their lives. We are operating now in Egypt with a clear vision towards expansion in the region. We aim to build an inspiring organization with an engaged and high performing culture. Joining the team now would mean that you could have a direct impact on the company’s growth trajectory. If you are hungry to make an impact and develop your skills in a dynamic environment, collaborating with like-minded people, we want to hear from you.
ABOUT THE ROLE:
Key responsibilities include:
- Selecting features, building and optimizing classifiers using machine learning techniques
- 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.
- Undertake pre-processing of structured and unstructured data.
- Analyze large amounts of information to discover trends and patterns.
- Present information using data visualization techniques.
- Propose solutions and strategies to business challenges.
- Collaborate with engineering and product development teams.
**Requirements**:
ABOUT YOU:
to work with agility in a fast-paced environment. They would also be insanely focused on
demonstrating excellence in service delivery and problem-solving, breaking down complex
information into understandable and actionable items. You will be an active and contributory.
member in People team, with a direct impact on the culture and business trajectory in your country.
Other qualifications include:
- BSc/BA in Computer Science, Engineering or relevant field.
- Proven experience as a Data Scientist or similar role (1+ year of experience).
- Good communication and reporting skills to present numbers and statistics clearly & simply.
- Strong organizational skills.
- Data-oriented personality & Analytical mind.
- Flexible self-learner that can adapt to a fast-paced environment.
- Problem-solving aptitude.
- Highly collaborative with a can-do attitude.
- Proven ability in working under high pressure, target-oriented with a successful track record.
- Knowledge with OKRs and how to achieve results within a specific budget.
**Benefits**
- Competitive salary
- Pension Plan scheme as per company policy
- Premium Family medical insurance
- Exclusive access to our circles with the ultimate credit limit and reserved 1st slots.
- unlimited annual leave policy
- Mentorship and career growth
- Entrepreneurial working environment
This advertiser has chosen not to accept applicants from your region.
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6
Senior Data Scientist
Money Fellows
Posted today
Job Viewed
Job Description
**ABOUT US**
At **Money Fellows** we believe that there is only one way to build an outstanding organization; and that is to attract exceptionally talented people who are aligned with our mission, thrive on challenges and are passionate about problem-solving. Being a market leader in the digital FinTech space, we facilitate to our customers the easiest and fast digital financial solutions which can enhance their lives. We are operating now in Egypt with a clear vision towards expansion in the region. We aim to build an inspiring organization with an engaged and high performing culture. Joining the team now would mean that you could have a direct impact on the company’s growth trajectory. If you are hungry to make an impact and develop your skills in a dynamic environment, collaborating with like-minded people, we want to hear from you.
**ABOUT THE ROLE**:
**Key responsibilities include:
- Selecting features, building and optimizing classifiers using machine learning techniques
- 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.
- Undertake pre-processing of structured and unstructured data.
- Analyze large amounts of information to discover trends and patterns.
- Present information using data visualization techniques.
- Propose solutions and strategies to business challenges.
- Collaborate with engineering and product development teams.
**Requirements**:
**ABOUT YOU**:
to work with agility in a fast-paced environment. They would also be insanely focused on
demonstrating excellence in service delivery and problem-solving, breaking down complex
information into understandable and actionable items. You will be an active and contributory.
member in People team, with a direct impact on the culture and business trajectory in your country.
Other qualifications include:
- BSc/BA in Computer Science, Engineering or relevant field.
- Proven experience as a Data Scientist or similar role (1+ year of experience).
- Good communication and reporting skills to present numbers and statistics clearly & simply.
- Strong organizational skills.
- Data-oriented personality & Analytical mind.
- Flexible self-learner that can adapt to a fast-paced environment.
- Problem-solving aptitude.
- Highly collaborative with a can-do attitude.
- Proven ability in working under high pressure, target-oriented with a successful track record.
- Knowledge with OKRs and how to achieve results within a specific budget.
**Benefits**
- Competitive salary
- Pension Plan scheme as per company policy
- Premium Family medical insurance
- Exclusive access to our circles with the ultimate credit limit and reserved 1st slots.
- unlimited annual leave policy
- Mentorship and career growth
- Entrepreneurial working environment
At **Money Fellows** we believe that there is only one way to build an outstanding organization; and that is to attract exceptionally talented people who are aligned with our mission, thrive on challenges and are passionate about problem-solving. Being a market leader in the digital FinTech space, we facilitate to our customers the easiest and fast digital financial solutions which can enhance their lives. We are operating now in Egypt with a clear vision towards expansion in the region. We aim to build an inspiring organization with an engaged and high performing culture. Joining the team now would mean that you could have a direct impact on the company’s growth trajectory. If you are hungry to make an impact and develop your skills in a dynamic environment, collaborating with like-minded people, we want to hear from you.
**ABOUT THE ROLE**:
**Key responsibilities include:
- Selecting features, building and optimizing classifiers using machine learning techniques
- 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.
- Undertake pre-processing of structured and unstructured data.
- Analyze large amounts of information to discover trends and patterns.
- Present information using data visualization techniques.
- Propose solutions and strategies to business challenges.
- Collaborate with engineering and product development teams.
**Requirements**:
**ABOUT YOU**:
to work with agility in a fast-paced environment. They would also be insanely focused on
demonstrating excellence in service delivery and problem-solving, breaking down complex
information into understandable and actionable items. You will be an active and contributory.
member in People team, with a direct impact on the culture and business trajectory in your country.
Other qualifications include:
- BSc/BA in Computer Science, Engineering or relevant field.
- Proven experience as a Data Scientist or similar role (1+ year of experience).
- Good communication and reporting skills to present numbers and statistics clearly & simply.
- Strong organizational skills.
- Data-oriented personality & Analytical mind.
- Flexible self-learner that can adapt to a fast-paced environment.
- Problem-solving aptitude.
- Highly collaborative with a can-do attitude.
- Proven ability in working under high pressure, target-oriented with a successful track record.
- Knowledge with OKRs and how to achieve results within a specific budget.
**Benefits**
- Competitive salary
- Pension Plan scheme as per company policy
- Premium Family medical insurance
- Exclusive access to our circles with the ultimate credit limit and reserved 1st slots.
- unlimited annual leave policy
- Mentorship and career growth
- Entrepreneurial working environment
This advertiser has chosen not to accept applicants from your region.
7
Junior Data Scientist
Rackspace
Posted today
Job Viewed
Job Description
As a member of the Data Science team, you will focus on working on cutting edge customer projects in diverse area from product recommendations, fraud detection, supply chain optimization and demand forecasting.
Full of energy, fresh ideas, and ambition, you are the sort of person who loves learning new things, is open to being challenged and has the confidence to challenge us too. We are looking for fresh graduates (with <1 yr of post-graduation experience) with the enthusiasm, creativity and business acumen to drive real innovation, and become our future leaders.
In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.
Your goal will be to help our customers analyze trends to make better decisions.
**Responsibilities**:
- To develop analytical models for insight generation that improves business decision making.
- Responsible for experimenting with and implementing machine learning techniques on internal/external customer projects.
- Responsible for learning new data science techniques/programming languages and exploring their viability on current projects.
- Will contribute to data science team discussions, providing insight on current approaches and methods,
- Follows established MLOps practices in software development.
- Data science model selection and implementation.
- Working independently while collaborating well within the team.
- Have worked autonomously and delivered results on schedule.
**Requirements**:
- Degree in Management Information Systems (MIS), Data Science/Analytics, Computer Science, Statistics and/or equivalent formal training
- Proficient with machine learning and statistics
- Knowledge in classification (random forest, logistic regression), regression (linear, XGBoost) and clustering (k-means)
- Software development experience
- Proficient in Python/R/SAS, SQL, Data Visualization (e.g. Tableau or Power BI), deep learning frameworks, Spark
- Excellent communication skills
- Proficient with cloud computing in environments such are AWS, Google Cloud, Microsoft Azure
- Participated in numerous data science projects.
- Utilized several data science methodologies.
- Attention to detail
- Multi-tasking
- Strong analytical skills
**About Rackspace Technology**
**More on Rackspace Technology
Full of energy, fresh ideas, and ambition, you are the sort of person who loves learning new things, is open to being challenged and has the confidence to challenge us too. We are looking for fresh graduates (with <1 yr of post-graduation experience) with the enthusiasm, creativity and business acumen to drive real innovation, and become our future leaders.
In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.
Your goal will be to help our customers analyze trends to make better decisions.
**Responsibilities**:
- To develop analytical models for insight generation that improves business decision making.
- Responsible for experimenting with and implementing machine learning techniques on internal/external customer projects.
- Responsible for learning new data science techniques/programming languages and exploring their viability on current projects.
- Will contribute to data science team discussions, providing insight on current approaches and methods,
- Follows established MLOps practices in software development.
- Data science model selection and implementation.
- Working independently while collaborating well within the team.
- Have worked autonomously and delivered results on schedule.
**Requirements**:
- Degree in Management Information Systems (MIS), Data Science/Analytics, Computer Science, Statistics and/or equivalent formal training
- Proficient with machine learning and statistics
- Knowledge in classification (random forest, logistic regression), regression (linear, XGBoost) and clustering (k-means)
- Software development experience
- Proficient in Python/R/SAS, SQL, Data Visualization (e.g. Tableau or Power BI), deep learning frameworks, Spark
- Excellent communication skills
- Proficient with cloud computing in environments such are AWS, Google Cloud, Microsoft Azure
- Participated in numerous data science projects.
- Utilized several data science methodologies.
- Attention to detail
- Multi-tasking
- Strong analytical skills
**About Rackspace Technology**
**More on Rackspace Technology
This advertiser has chosen not to accept applicants from your region.
8
Data Scientist - Artificial Intelligence
Giza
IBM
Posted 13 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 an experienced Data Scientist. The ideal candidate will have a deep understanding of Machine Learning, Generative AI, and Large Language Models, combined with strong leadership abilities. This role will be responsible for business development, overseeing the development and implementation of advanced data-driven solutions as well as mentor a team of talented data scientists.
Technical Oversight:
* Oversee the design, development, and deployment of Machine Learning models and AI solutions.
* Ensure the use of best practices in data science, including model validation, performance monitoring, and continuous improvement.
* Stay informed about the latest developments in AI/ML and drive the adoption of relevant technologies within the team.
Team Development:
* Provide mentorship and professional development opportunities to project and practice team members.
* Actively support in recruitment efforts to attract top talent and grow the team as needed.
* Help Foster a culture of learning and continuous development within the AI/Data Science team.
**Required technical and professional expertise**
Experience:
* 7+ years of experience in Data Science and Machine Learning with at least 1 year of experience in conversational solutions design and development using Watson Assistant or similar conversational AI platforms.
* Proven track record of delivering AI/ML projects.
* Experience with Generative AI and Large Language Models is highly desirable
Technical Skills:
* Proficiency in programming languages such as Python, R, or Scala.
* Deep understanding of Machine Learning frameworks (e.g., TensorFlow, PyTorch) and data processing tools (e.g., SQL, Pandas).
* Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and machine learning deployment.
* Strong knowledge of Natural Language Processing (NLP) and AI ethics.
Leadership Skills:
* Leadership skills with the ability to inspire and motivate junior team members.
* Strategic thinking with the ability to align data science initiatives with business objectives.
* Very good communication skills, capable of conveying complex ideas to a variety of audiences.
* Proven ability to work collaboratively in projects with cross-functional teams.
* Experience in building/scaling data science teams and implementing AI solutions in a large (preferably, consulting) organization.
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 an experienced Data Scientist. The ideal candidate will have a deep understanding of Machine Learning, Generative AI, and Large Language Models, combined with strong leadership abilities. This role will be responsible for business development, overseeing the development and implementation of advanced data-driven solutions as well as mentor a team of talented data scientists.
Technical Oversight:
* Oversee the design, development, and deployment of Machine Learning models and AI solutions.
* Ensure the use of best practices in data science, including model validation, performance monitoring, and continuous improvement.
* Stay informed about the latest developments in AI/ML and drive the adoption of relevant technologies within the team.
Team Development:
* Provide mentorship and professional development opportunities to project and practice team members.
* Actively support in recruitment efforts to attract top talent and grow the team as needed.
* Help Foster a culture of learning and continuous development within the AI/Data Science team.
**Required technical and professional expertise**
Experience:
* 7+ years of experience in Data Science and Machine Learning with at least 1 year of experience in conversational solutions design and development using Watson Assistant or similar conversational AI platforms.
* Proven track record of delivering AI/ML projects.
* Experience with Generative AI and Large Language Models is highly desirable
Technical Skills:
* Proficiency in programming languages such as Python, R, or Scala.
* Deep understanding of Machine Learning frameworks (e.g., TensorFlow, PyTorch) and data processing tools (e.g., SQL, Pandas).
* Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and machine learning deployment.
* Strong knowledge of Natural Language Processing (NLP) and AI ethics.
Leadership Skills:
* Leadership skills with the ability to inspire and motivate junior team members.
* Strategic thinking with the ability to align data science initiatives with business objectives.
* Very good communication skills, capable of conveying complex ideas to a variety of audiences.
* Proven ability to work collaboratively in projects with cross-functional teams.
* Experience in building/scaling data science teams and implementing AI solutions in a large (preferably, consulting) organization.
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.
9