14 Data Science jobs in Egypt

**Ready and hungry for a new adventure? You are definitely in the right place!
We at
**Envision Employment Solutions** are always on the look for top talents around the globe and matching them with our partners' hiring needs, to help them build and scale!
- Our partners offer awesome work environment, competitive salaries, full benefits, and many others perks.**Our Hiring Process**:
**2.** After completing the the psychometric assessment, one of our team member will reach out to you to schedule an HR Interview.

**3. **During the call we will go through your resume and discuss the opportunities we have for you in details. We would love to learn a little bit about you, about your work experience and your career's goal. We will also be able to answer any questions you might have.

**Please feel free to share our career site with any of your colleagues or anyone you know that might be looking for a job**:

- ___

**Envision Employment Solutions** is currently on the look for a
**Data Analysis Leader** for one of our partners, a well-known multinational logistics company.

**Responsibilities**:

- Collaborate with the business owners to identify and understand the business reporting requirements.
- Translate business requirements into technical requirements.
- Supporting Data Engineers on planning and developing new data models that allow user-friendly, customized reporting
- Contribute to the integration and improvement of relevant data management systems and processes
- Designing and implementing our BI solution (Tableau) and ensuring that all data protection requirements are met
- Supporting various business units by giving them access to BI solutions tailored for their needs
- Creating customized dashboards that tell compelling stories and facilitate the decision-making process.
- Driving the right strategy to continuously increase dashboard performance
- Automate manual reporting processes.
- Handling various ad-hoc reporting requests from management, finance and operations as well as assisting with regular standard reporting and data maintenance tasks
- Identify data quality issues and report any deficiencies.

**Requirements**:

- Bsc. In MIS, BIS, BIT or Engineering
- 2-5 years professional experience in the field of Business Analysis side “Preferably in logistics or eCommerce”
- Tableau Certification “Must have”
- Familiarity with SQL and databases; SQL and other relational databases
- Ability to write proper Business Requirements
- A proven track record of successfully implementing and administrating BI reports using Tableau
- Good understanding of data structures and data management
- Strong analytical thinking skills
- The ability to bring new ideas in a solution-oriented way
- Having a structured way of working to be able to multitask without losing track of several projects.

**Perks and Benefits**:

- Competitive monthly net salary
- Annual bonus based on the performance
- Social & Medical Insurance
- Growth opportunities
- Mobile Line
- Employee Discounts

**Envision Employment Solutions is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Come join us!

**About the role**:
Ensures accuracy and data quality of all Network Data Services from ordering to billing and for the hand over to operations process, in order to optimize company’s revenue, minimize the cost and increase customer satisfaction. The role also provides expertise and guidance on the correct handling of technical network data in large customer projects. The role also contributes to the development of data skills in the Data Validation team.

**Key Tasks and Responsibilities**:

- Ensure the consolidation of all Network Data Services from ordering to billing in terms of accuracy and data quality and improve hand over to operation process in order to optimize company’s revenue.
- Deploy Data Quality reporting, analytics and Data visualization dashboards.
- Provide strong expertise and guidance in the implementation of complex customer projects on the correct management and handling of the customer technical inventory across products, process, tools.
- Develop data competencies in the Data Validation team, including on python and power BI.
- Supporting the International Busienss Operations (IBO) technical Inventory global data owner, rewrite and adjust whenever needed the IBO processes to integrate the new business rules for technical Inventory data as defined by the Data Management forum.
- Participate to the Customer Service Opeation Datalab testing and roll out and integrate new data and process controls using Machine Learning, Artificial Intelligence and Big data concepts.

**About you**:

**Additional information**:

- University Degree in Telecommunication, Computer Science, Data Science, Information Systems.
- CCNA certification and PMP certification are a must.
- 5+ years experience, in Telecommunication, Data Analytics, Data Science or customer service

**Department**:
Customer Services & Operations

**Contract**:
Regular

**Position:**
Data Scientist / Senior Machine Learning Engineer
**Job Description:**
**Position Overview:**
As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
**Key Responsibilities:**
1. Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
2. Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
3. Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
4. Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
5. Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
6. Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
7. Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
**Qualifications:**
+ Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
+ Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
+ Strong knowledge of machine learning frameworks and libraries.
+ Expertise in data preprocessing, feature engineering, and model selection.
+ Familiarity with large language models and AI agent design.
+ Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
+ Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
+ Experience with vectorized databases and unstructured search engines is a plus.
+ A Master's degree in computer science, Statistics, Data Science, or a related field is a plus.
+ Publications or contributions to open-source projects are a plus.
If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
**Location:**
EG-Cairo, Egypt (Al Emdad & Al Tamween)
**Time Type:**
Full time
**Job Category:**
Information Technology
Arrow Electronics, Inc.'s policy is to provide equal employment opportunities to all qualified employees and applicants without regard to race, color, religion, age, sex, marital status, gender identity or expression, sexual orientation, national origin, disability, citizenship, veran status, genetic information, or any other characteristics protected by applicable state, federal or local laws. Our policy of equal employment opportunity and affirmative action applies to all employment decisions personnel policies and practices, or programs.

WalletHub, the #1 Personal Finance App in the US and one of Forbes Top 100 Best StartUp Employers for both 2020 and 2021, is rapidly growing and looking for a highly experienced and motivated **Senior Machine Learning Engineer** for a full-time, permanent position.

**Qualifications**
- At least 4 years experience in Python and MySQL (or any relational database)
- Min. 2 years of experience as a Data Scientist
- Experience with databases
- Experience in machine learning frameworks and libraries
- Machine learning concepts and techniques: Regularization, Boosting, Random Forests, Decision Trees, Bayesian models, Neural networks, Support Vector Machines (SVM)
- Experience with the whole ETL data cycle (extract, validate, transform, clean, aggregate, audit, archive)
- Computer Science or Mathematics or Physics degree
- Excellent communication and analytical skills
- Willingness to work hard (50 hrs per week)
- Very good English

**Nice to have but not required**
- Experience with Apache Spark
- Natural Language Processing (tokenization, tagging, sentiment analysis, entity recognition, summarization)

**Responsibilities**
- Modeling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques
- Participating in the areas of architecture, design, implementation, and testing
- Proposing innovative ways to look at problems by using data mining approaches on the set of information available
- Designing experiments, testing hypotheses, and building models
- Conducting advanced data analysis and designing highly complex algorithm

**Compensation**
- Very competitive salary based on prior experience and qualifications
- Potential for stock options after the first year
- 100% remote position
- Raise and advancement opportunities based on periodic evaluations
- Visa sponsorship (after 18 months with the company, based on performance, in case you will be working from outside the US).

**Notes**

Expected work schedule is 50 hours/week, Monday to Friday. This position requires a full overlap with EST business hours (8AM - 7PM ET, including 1 hr break).

**More about WalletHub**

WalletHub, the #1 Personal Finance App in the US and one of Forbes’ Top 100 Best StartUp Employers for both 2020 and 2021, is seeking hardworking, like-minded individuals to help us disrupt personal finance and make a tangible difference in people's everyday lives.

More specifically, we are harnessing the power of data analytics and artificial intelligence to build the brain of a smart financial advisor, whose services we’re offering to everyone for free. The WalletHub brain enables users to make better financial decisions in a fraction of the time with three unique features:
**1) Customized Credit-Improvement Tips**: WalletHub identifies improvement opportunities and guides you through the necessary corrections.

**2) Personalized Money-Saving Advice**: WalletHub’s savings brain constantly scours the market for load-lightening opportunities, bringing you only the best deals.

**3) Wallet Surveillance**: Personal finance isn’t as scary with 24/7 credit monitoring providing backup, notifying you of important credit-report changes.

WalletHub’s initial focus was in the credit card space, and we quickly became the go-to credit card resource for consumers and industry professionals alike. Not only did the nonprofit group Consumer Action rate WalletHub as the best credit card website, but our industry research and expert opinions are featured in the national media far more often than any other company in the space.

In addition to the valuable intelligence the brain provides, WalletHub is the first service to offer free credit scores and full credit reports that are updated on a daily basis absent of user interaction, rather than weekly or monthly and only when a user logs in. Some other services hang their hats on free credit scores and reports, yet they’re still inferior to what WalletHub considers minor pieces to a much larger puzzle.

Pay: E£81,212.67 - E£142,737.42 per month

The Role Job description

You are about to apply for a job in a certified Top Employer 2025!
Ready to be part of one of the market leaders in Egypt? Apply now!
Raya Holding for Financial Investments is hiring Financial Analyst (Machine Learning Project) 6-month contract.

What will you do?

• Design and implement machine learning models to enhance budget forecasting, scenario analysis, and cost predictions.
• Automate key budgeting processes, including data consolidation, variance analysis, and commentary generation.
• Develop dynamic reporting dashboards and tools to support real-time financial performance monitoring.
• Integrate ML models into financial systems (e.g., Oracle EPM, SAP BPC, Power BI) for seamless data flow and user access.
• Streamline financial reporting by building ETL pipelines that extract, clean, and transform financial data automatically.
• Collaborate with FP&A, accounting, and IT teams to identify opportunities for automation and improve process efficiency.
• Maintain detailed documentation of models, assumptions, and system integrations for audit and stakeholder review.
• Monitor model performance and continuously improve accuracy, scalability, and reliability.

Skills What will you need?

• Bachelor's or master's degree in data science, finance, computer science, statistics, or a related discipline.
• Proficient in Python (pandas, NumPy, scikit-learn) and SQL; experience with Power BI or Tableau preferred.
• Solid understanding of budgeting cycles, financial statements, and variance analysis.
• Experience with enterprise performance management platforms (e.g., Oracle EPM).
• Strong knowledge of ML algorithms (regression, classification, time-series, anomaly detection).
• Familiarity with automation frameworks and APIs.
• Ability to communicate complex technical solutions to non-technical finance stakeholders.

Preferred skills:

• Experience building automation tools for finance teams.
• Working knowledge of financial KPIs, forecasting models, and reporting standards.
• Exposure to cloud platforms for data storage and ML model deployment.

Key deliverables:

• Automated budgeting and reporting workflows reducing manual effort and cycle time.
• Machine learning models embedded in financial planning processes with proven forecast accuracy improvement.
• Interactive, real-time dashboards that enhance business unit performance tracking and decision-making.

What is unique about Raya?

• Are you an eager learner? Raya believes in its employees, so we aim to continuously provide learning & development plans for all of our employees to ensure their personal and career development.
• Are you looking for career progression? Raya is an entity where you can grow whether horizontally or vertically as we offer internal transfer opportunities.
• Are you looking for a rewarding environment? Raya's top achievers are awarded annually with an international 5 days trip.
• Are you looking for an opportunity to give back to the community? Raya encourages their employees to give back to the community through different ongoing CSR programs and initiatives.
• Are you a foodie? Exclusive discounts for Raya employees at Raya's restaurants.

Requirements About the company Raya Holding for Financial Investments, a leading investment conglomerate, established in 1999 in Egypt with a vision to be a market leader and to grow into a solid financial conglomerate with multifaceted operations. Headquarter located in Cairo, Egypt; Raya Holding is managing a diversified investment portfolio of 13 lines of business in the various industries of e-payment, information technology, contact center, smart buildings, consumer electronics, food and beverage, land transport, PET remanufacturing, automotive, FMCG and home appliances Raya Holding is listed in the Egyptian Exchange (EGX) since 2005, while the company empowers more than 12,000 proficient employees, accommodating to a wide international customer base from offices based in Egypt, Saudi Arabia, UAE, Qatar, Poland, Nigeria and Tanzania. Raya's Lines of Business include; Aman for e-payments, Aman for Financial Services, BariQ, Ostool, Raya Contact Center, Raya Foods, Raya Information Technology, Raya Food Trading, Raya Restaurants, Raya Smart Buildings, Raya Trade, Raya Auto and Haier - Raya Electric.

**_A Data Scientist who will help us to discover the hidden information in vast amounts of data and make smart decisions to deliver even better products with such skills and experience as_**
- Ph.D. or Master’s Degree in Computer Science or related field
- Applied Statistics and Data Mining knowledge to identify hidden patterns in data, evaluate current data flow, or develop a new one
- Strong communication and presentation skills, including translation of complex concepts in clear, concise, and meaningful ways, that non-technical audience can easily understand
- Expertise in more than one Data Science Specialization such as NLP, Time Series Analysis, CV, Recommender Systems, and others
- Understanding of Machine Learning operationalization processes
- Working on complex projects where independent judgment is used within a broad range of defined procedures and practices
- Understanding of SDLC of AI projects
- Upper-intermediate English level or higher

**_Your extra power is_**
- Knowledge in Big Data solutions and advanced data tools in Cloud Platforms
- Hands-on experience in building and operationalizing machine learning models, including data manipulation, experiment design, developing analysis plans, and generating insights
- Advanced proficiency in programming software such as Python, R, C++, Scala, and others
- Strong interpersonal, analytical, and problem-solving skills to lead teams of data scientists and software engineers to successful project execution

**YOU WANT TO WORK WITH**
- Data Science related problems for different business domains
- Implementing and supporting predictive models
- Providing analytical support in the pipeline of Machine Learning models operationalizing process
- Communicating with the world-leading companies from our logo portfolio

Work Location is 5th Settlement
- Ph.D. or Master’s Degree in Computer Science or related field
- Applied Statistics and Data Mining knowledge to identify hidden patterns in data, evaluate current data flow, or develop a new one
- Strong communication and presentation skills, including translation of complex concepts in clear, concise, and meaningful ways, that non-technical audience can easily understand
- Expertise in more than one Data Science Specialization such as NLP, Time Series Analysis, CV, Recommender Systems, and others
- Understanding of Machine Learning operationalization processes
- Working on complex projects where independent judgment is used within a broad range of defined procedures and practices
- Understanding of SDLC of AI projects
- Upper-intermediate English level or higher

Company Description

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive.

When you join Visa, you join a culture of purpose and belonging - where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world - helping unlock financial access to enable the future of money movement.

**Join Visa: A Network Working for Everyone.**

**Job Description**:
We are seeking an innovative and analytical thinker to support our Data Science team in the Middle East and North Africa (MENA) region based in Cairo, Egypt. As a Data Scientist, you are expected to generate data and business insights, develop predictive and prescriptive models, context-based prototypes, and high impact storyboards to promote a data-driven strategy and solutions approach for the company.
- Serve as an analytics expert in designing, developing and implementing best in analytic solutions
- Create and deliver powerful insights from data through better visualization and storyboarding
- Collaborate with internal and external partners to fully understand business requirements and desired business outcomes
- Demonstrate execution proficiency in handing multiple medium-to-large analytics projects in a team environment that includes the rest of the Data Science team
- Draft detailed scope for assigned projects, addressing suggested methodology and analytics plan
- Execute on the analytics plan with appropriate data mining and analytical techniques
- Perform quality assurance of data and deliverables for work performed by other Data Scientists and self
- Ensure all project documentation is up to date and all projects are reviewed per analytics plan
- Ensure project delivery within timelines and budget requirements
- Build on team’s analytical skills and business knowledge
- Enhance existing analytics techniques by promoting new methodologies and best practices in the Data Science field

**Qualifications**:
**Professional Experience**
- Experience working in one or more of the Card Payments markets around the globe
- Post-graduate degree (Masters or PhD) in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent
- Good understanding of the Payments and Banking Industry including aspects such as consumer credit, consumer debit, prepaid, small business, commercial, co-branded and merchant
- Good knowledge of data, market intelligence, business intelligence, and AI-driven tools and technologies
- Experience planning, organizing, and managing multiple large projects with diverse cross-functional teams
- Demonstrated ability to incorporate new techniques to solve business problems
- Demonstrated resource planning and delivery skills

**Technical Expertise**
- Experience in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)
- Ability to write scratch MapReduce jobs and fluency with Spark frameworks
- Familiarity with both common computing environments (e.g. Linux, Shell Scripting) and commonly-used IDE’s (Jupyter Notebooks); proficiency in SAS technologies and techniques
- Strong programming ability in different programming languages such as Python, R, Scala, Java, Matlab, C++, and SQL
- Experience in drafting solution architecture frameworks that rely on API’s and micro-services
- Familiarity with common data modeling approaches, and ability to work with various datatypes including JSON, XML, etc.
- Ability to build data pipelines (e.g. ETL, data preparation, data aggregation and analysis) using tools such as NiFi, Sqoop, Ab Initio; familiarity with data lineage processes and schema management tools such as Avro
- Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain, Monte Carlo, Gibbs Sampling, Evolutionary Algorithms (e.g. Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks, etc.
- Expert knowledge of advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial and multinomial regression, ANOVA); Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis); Decision Tree techniques (e.g., CART, CHAID)
- Deliver results within committed scope, timeline and budget
- Very strong people/project management skills and experience
- Ability to trave

Company Description

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive.

When you join Visa, you join a culture of purpose and belonging - where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world - helping unlock financial access to enable the future of money movement.

**Join Visa: A Network Working for Everyone.**

**Job Description**:
We are seeking an innovative and analytical thinker to support our Data Science team in the Middle East and North Africa (MENA) region based in Cairo, Egypt. As a Data Scientist, you are expected to generate data and business insights, develop predictive and prescriptive models, context-based prototypes, and high impact storyboards to promote a data-driven strategy and solutions approach for the company.
- Serve as an analytics expert in designing, developing and implementing best in analytic solutions
- Create and deliver powerful insights from data through better visualization and storyboarding
- Collaborate with internal and external partners to fully understand business requirements and desired business outcomes
- Demonstrate execution proficiency in handing multiple medium-to-large analytics projects in a team environment that includes the rest of the Data Science team
- Draft detailed scope for assigned projects, addressing suggested methodology and analytics plan
- Execute on the analytics plan with appropriate data mining and analytical techniques
- Perform quality assurance of data and deliverables for work performed by other Data Scientists and self
- Ensure all project documentation is up to date and all projects are reviewed per analytics plan
- Ensure project delivery within timelines and budget requirements
- Build on team’s analytical skills and business knowledge
- Enhance existing analytics techniques by promoting new methodologies and best practices in the Data Science field

**Qualifications**:
**Professional Experience**
- Experience working in one or more of the Card Payments markets around the globe
- Post-graduate degree (Masters or PhD) in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent
- Good understanding of the Payments and Banking Industry including aspects such as consumer credit, consumer debit, prepaid, small business, commercial, co-branded and merchant
- Good knowledge of data, market intelligence, business intelligence, and AI-driven tools and technologies
- Experience planning, organizing, and managing multiple large projects with diverse cross-functional teams
- Demonstrated ability to incorporate new techniques to solve business problems
- Demonstrated resource planning and delivery skills

**Technical Expertise**
- Experience in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)
- Ability to write scratch MapReduce jobs and fluency with Spark frameworks
- Familiarity with both common computing environments (e.g. Linux, Shell Scripting) and commonly-used IDE’s (Jupyter Notebooks); proficiency in SAS technologies and techniques
- Strong programming ability in different programming languages such as Python, R, Scala, Java, Matlab, C++, and SQL
- Experience in drafting solution architecture frameworks that rely on API’s and micro-services
- Familiarity with common data modeling approaches, and ability to work with various datatypes including JSON, XML, etc.
- Ability to build data pipelines (e.g. ETL, data preparation, data aggregation and analysis) using tools such as NiFi, Sqoop, Ab Initio; familiarity with data lineage processes and schema management tools such as Avro
- Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain, Monte Carlo, Gibbs Sampling, Evolutionary Algorithms (e.g. Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks, etc.
- Expert knowledge of advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial and multinomial regression, ANOVA); Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis); Decision Tree techniques (e.g., CART, CHAID)
- Deliver results within committed scope, timeline and budget
- Very strong people/project management skills and experience
- Ability to trave

**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.