data analyst

data scientist

senior data engineer

senior data scientist

data engineer

ai data scientist

Nafham - نفهم

<div>
 
 Company Description
 
 
 
 Nafham is a personalized online learning platform for students, teachers, and the larger community. We offer curriculum-based video lessons and online tutoring for national curriculums in Egypt and the Gulf region, alongside international programs like SAT and IGCSE. Our platform also provides a diverse range of life skills courses, such as programming, language learning, and resume writing. With a strong commitment to enhancing education, Nafham aims to maximize the potential of young Arab and African individuals.
 
 
 
 Role Description
 
 
 
 This is a full-time, on-site AI Data Scientist role based in Cairo, Egypt. The AI Data Scientist will be responsible for designing, developing, and implementing data-driven solutions using statistical and machine learning models. The role involves analyzing large datasets, generating actionable insights, and visualizing data to inform both business and educational strategies. The individual will collaborate with cross-functional teams to optimize processes, improve user experience, and support decision-making through accurate data analysis.
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Strong background in Data Science, Statistics, and proficiency in designing and implementing machine learning models.
 </li>
 <li>
 Proficiency in Data Analysis and Data Analytics for identifying patterns, trends, and insights from complex datasets.
 </li>
 <li>
 Skills in Data Visualization, using tools like Tableau, Power BI, or similar technologies, to present findings effectively.
 </li>
 <li>
 Experience with programming languages such as Python, R, or SQL used for data manipulation and analysis.
 </li>
 <li>
 Familiarity with large-scale data processing frameworks like Hadoop or Spark is a plus.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
 </li>
 <li>
 Strong analytical thinking and problem-solving abilities, with excellent attention to detail.
 </li>
 <li>
 Ability to work collaboratively in a team environment and adapt to a fast-paced, dynamic setting.
 </li>
 </ul>
</div>

AI Data Scientist

Protiviti Middle East Member Firm

<div>
 
 
 Job Description &ndash; Senior Data Scientist / AI Engineer (Consulting Role)
 
 
 
 
 
 
 We are looking for a highly experienced Senior Data Scientist / AI Engineer with a proven track record (5+ years) in designing, deploying, and optimizing AI-driven solutions on Microsoft Azure. The candidate must bring deep expertise in MLOps, Responsible AI, and Generative AI, with extensive hands-on experience in building scalable, production-grade AI systems that drive business impact. This is an exciting opportunity to work in a consulting environment, collaborating with industry leaders, supporting pre-sales efforts, and mentoring junior team members while delivering impactful AI solutions across diverse industries. This role is based in Egypt (Cairo), with the expectation of traveling across Middle Eastern client locations (KSA, UAE, Qatar) as required.
 
 
 
 
 
 
 Responsibilities
 
 
 <ol>
 <li>
 Support clients in ideating &amp; prioritizing various business problems that can be solved using AI solutions
 </li>
 <li>
 AI Solution Development &amp; Deployment - Lead hands-on end-to-end AI/ML projects implementation, ensuring scalability, performance, and business impact.
 </li>
 <li>
 Collaborate closely with cross-functional teams and clients to understand their business objectives, gather relevant data, and design solutions that drive actionable insights.
 </li>
 <li>
 Work closely with clients and stakeholders to understand business challenges and provide AI-driven recommendations.
 </li>
 <li>
 Support Presales activities &ndash; Develop point of view and thought leadership documentations, Develop quick AI prototypes, proof-of-concepts (PoCs), and client demos to support business development and pre-sales efforts.
 </li>
 <li>
 Translate complex AI concepts into actionable insights for business leaders and non-technical stakeholders.
 </li>
 <li>
 Team Mentorship &amp; Knowledge Sharing - Mentor and guide junior data scientists, fostering a culture of technical excellence and continuous learning.
 </li>
 <li>
 Stay updated with the latest advancements in AI, Generative AI, and MLOps, incorporating best practices into client projects, and support publishing of thought leadership initiatives
 </li>
 </ol>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ol>
 <li>
 
 Education &amp; Experience
 
 </li>
 </ol>
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, AI, or a related field.
 </li>
 <li>
 5+ years of experience in AI/ML, with a strong consulting background
 </li>
 <li>
 Must have worked on at least three of the following use cases types &ndash; Natural Language Processing (NLP) , Predictive Modeling &amp; Classification , Time-Series Forecasting , Simulation &amp; Optimization , Computer Vision , Graph Analytics, Recommender Systems, Anomaly Detection
 </li>
 <li>
 Proven track record in deploying AI solutions on Microsoft Azure
 </li>
 <li>
 Proven experience of implementing at least one Generative AI use case
 </li>
 </ul>
 
 
 
 
 
 2.Technical Expertise
 
 
 
 
 
 <ul>
 <li>
 Strong programming skills in Python, R, and SQL, with expertise in ML frameworks like TensorFlow, PyTorch, and Scikit-Learn.
 </li>
 <li>
 Proficiency in designing end-to-end AI pipelines, integrating ML Models with data sources, business applications; MLOps implementation, including automated model deployment, CI/CD, &amp; monitoring strategies.
 </li>
 <li>
 Hands-on experience in Responsible AI implementation, ensuring fairness, explainability, and ethical AI governance.
 </li>
 <li>
 Hands-on experience in GenAI Implementation or Agentic AI implementation will be preferred
 </li>
 </ul>
 
 
 
 
 
 3.Preferred Industry Experience
 
 
 
 
 
 <ul>
 <li>
 Prior experience in AI implementation within at least one of the following sectors: Oil &amp; Gas, Financial Services, Manufacturing, Healthcare, Real Estate , Tourism , Government/Citizen Services , Mobility , Energy &amp; Utilities, Telecom
 </li>
 </ul>
 
 
 
 
 
 4.Consulting &amp; Leadership Skills
 
 
 
 
 
 <ul>
 <li>
 Strong stakeholder management and client engagement skills, with experience in working on AI consulting projects.
 </li>
 <li>
 Pre-sales experience with the ability to build quick PoCs, AI demos, and support business development efforts.
 </li>
 </ul>
 
 
</div>

Data Scientist Senior Consultant

BasharSoft

<div>
 We are seeking a Senior Data Scientist with expertise in Natural Language Processing (NLP), Large Language Models (LLMs), and Agentic AI to join our dynamic team in the Information Technology sector. In this role, you will leverage your advanced analytical skills and technical knowledge to drive innovative solutions that enhance our AI capabilities and product offerings.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and optimize NLP algorithms and models to improve product features and enhance user experience.
 </li>
 <li>
 Develop and fine-tune Large Language Models to support natural language understanding and generation tasks.
 </li>
 <li>
 Research and integrate state-of-the-art Agentic AI techniques to create autonomous systems that can perform complex tasks.
 </li>
 <li>
 Collaborate with cross-functional teams, including data engineers, software developers, and product managers, to translate business requirements into technical specifications.
 </li>
 <li>
 Analyze and visualize large datasets to derive actionable insights, inform decision-making, and identify opportunities for growth.
 </li>
 <li>
 Mentor and guide junior data scientists in best practices and advanced methodologies in data science and machine learning.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related field.
 </li>
 <li>
 5+ years of experience in data science with a focus on NLP and machine learning.
 </li>
 <li>
 Proficiency in programming languages such as Python and familiarity with ML frameworks like TensorFlow, PyTorch, or similar.
 </li>
 <li>
 Experience with data preprocessing, feature engineering, and model evaluation in the context of NLP tasks.
 </li>
 <li>
 Strong understanding of Transformer architectures and LLMs, including BERT, GPT, or similar models.
 </li>
 <li>
 Knowledge of Agentic AI concepts and their application in real-world scenarios.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Hands-on ownership of production-grade AI systems.
 </li>
 <li>
 Opportunity to lead innovation at the intersection of NLP, LLMs, and agentic AI.
 </li>
 <li>
 Exposure to cutting-edge AI tools, architectures, and research.
 </li>
 <li>
 Collaboration with highly skilled engineers, data scientists, and product experts.
 </li>
 <li>
 Clear path for technical and leadership growth.
 </li>
 <li>
 Hybrid work model
 </li>
 <li>
 Social and medical insurance
 </li>
 <li>
 Great working environment
 </li>
 <li>
 Internal career growth opportunities
 </li>
 </ul>
</div>

Senior Data Scientist – NLP, LLMs & Agentic AI

Coca-Cola HBC

<div>
 
 
 Department:
 
 Data, Insights &amp; AI Products &amp; Platforms
 
 
 
 Location:
 
 Egypt (Cairo).
 
 
 
 
 
 
 As an Artificial Intelligence (AI) Developer will join our growing DTPS Visual Analytics team. He/She will be responsible for designing and developing AI applications and systems that drive innovation and improve our existing products and services. He/She will focus on developing the tools, systems, and processes that enable artificial intelligence to be applied in the real world. Any application where machines mimic human functions, such as solving problems and learning, can be considered artificial intelligence. This role includes AI development in Power BI to deliver intelligent, data-driven visual analytics
 
 
 .He/She will collaborate with cross-functional teams, including data scientists, data engineers, and product managers, to bring AI-powered solutions to life
 
 
 
 
 
 
 .
 
 YOUR NEW KEY RESPONSIBILITIE
 
 
 
 
 
 <ul>
 <li>
 S:
 
 Part of a team responsible for charting the AI strategy and defining the problems to be solved with
 </li>
 <li>
 AI.Integration of advanc
 
 ed AI featu
 
 res in
 
 to Power
 
 BI repor
 </li>
 <li>
 ts.Use of AI visuals like decomposition trees, key influencers, and Q&amp;
 </li>
 <li>
 ;A.Collaboration with business users to deliver intelligent, AI-powered dashboar
 </li>
 <li>
 ds.Embeddi
 
 ng machine learn
 
 ing models in
 
 to Power
 
 BI using Azure
 </li>
 <li>
 ML.Enabli
 
 ng predict
 
 ive analytics and NLP (Natural Language Processing) within repor
 </li>
 <li>
 ts.Participate in code and design reviews to maintain a high-quality codeba
 </li>
 <li>
 se.Collaborate across teams to help with AI adoption and best practic
 </li>
 </ul>
 
 
 
 
 
 es.
 
 ARE THESE YOUR SECRET INGREDIE
 
 
 
 
 
 <ul>
 <li>
 NTS?
 
 Bachelor&rsquo;s or master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related f
 </li>
 <li>
 ield.3+ years of experience in AI, machine learning, or applied analytics, ideally with a focus on business intelligence t
 </li>
 <li>
 ools.Proven experience developing AI-powered solution
 
 s in Pow
 
 er BI, including use of AI visuals (e.g., key influencers, decomposition trees, Q&amp;A), and integrating ML models via Azur
 </li>
 <li>
 e ML.Strong understandin
 
 g of Power BI archite
 
 cture, DAX, Power Query, and data modeling best pract
 </li>
 <li>
 ices.Familiarity
 
 with Azure AI Serv
 
 ices (e.g., OpenAI, AI Search, AI Language, AI Document Intelligence) and their integration into Powe
 </li>
 <li>
 r BI.Experience
 
 with P
 
 ython and basic ML frameworks (e.g., scikit-learn) and model optimization in Powe
 </li>
 <li>
 r BI.Understandin
 
 g of natural language processing
 
 (NLP) and its application in business reporting is a
 </li>
 <li>
 plus.Hands-on experience
 
 with Azure Machine Learning, Databri
 
 ck
 
 s, or Synapse Anal
 
 ytics is beneficial &ndash; focus on data preparation pipelines that feed into Powe
 </li>
 <li>
 r BI.Comfortable workin
 
 g in Agile environ
 
 ments using tools like Azure De
 </li>
 <li>
 vOps.Azure certifications (e.g., Azure Data Scientist Associate, Power BI Data Analyst Associate) are a
 </li>
 <li>
 plus.Strong analytical thinking, communication, and stakeholder collaboration sk
 </li>
 </ul>
 
 
 
 
 
 ills.
 
 ABOUT YOUR NE
 
 
 
 
 
 
 W TEAM
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental
 
 
 impact.We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for
 
 
 growth.We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person
 
 
 can be.And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we O
 
 
 
 
 
 
 PEN UP.
 
 AT COCA-COLA HBC, DIVERSITY HELPS U
 
 
 
 
 
 
 S THRIVE
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective
 
 
 
 
 success.
</div>

AI Developer

Henkel

<div>
 
 About this Position
 
 The Data Scientist enables value creation with data innovations (e.g. Applied data Science, Machine Learning, Artificial Intelligence, Quantitative Research &amp; Statistics) and productionizing data products. The team includes experts in analytics and finance, implementing analytical use cases for Adhesives unit (HAT), from product innovation to customer facing applications. The team is responsible for applying the latest tools and technologies as well as cloud services to design, build and run data driven AI solutions that contribute to Henkel&rsquo;s digitalization strategy.
 
 
 
 What You&acute;ll Do
 
 
 
 <ul>
 <li>
 Solve complex business problems with data; using data scientific tools to find solutions for challenges in the realm of both big and small data: developing custom data models and algorithms to apply to data sets
 </li>
 <li>
 Delivers data science products from idea to deployment
 </li>
 <li>
 Actively participate in cross-functional project teams in the execution of our analytics strategy, exploring emerging technologies and leveraging their full potential
 </li>
 <li>
 Develop processes and tools to monitor and analyze model performance and data accuracy
 </li>
 <li>
 Acts as data science ambassador across business units and functions
 
 
 </li>
 </ul>
 
 What makes you a good fit
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Network Engineering, Business informatics, or any relevant study
 </li>
 <li>
 3-5 years of relevant work experience
 </li>
 <li>
 Expert knowledge in at least one of the following data science areas: supervised or unsupervised machine learning, statistical modeling
 </li>
 <li>
 Business acumen and ability to work closely with non-technical teams
 </li>
 <li>
 High confidence in verbal and written communication.
 </li>
 <li>
 Experience using statistical computer languages (Python and SQL knowledge is a must)
 </li>
 <li>
 Experience analyzing data from 3rd party providers is preferable
 </li>
 <li>
 Microsoft Azure (DevOps, machine learning, databricks etc.) experience is preferable
 
 
 </li>
 </ul>
 
 Some perks of joining Henkel
 
 
 
 <ul>
 <li>
 Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
 </li>
 <li>
 Diverse national and international growth opportunities
 </li>
 <li>
 Globally wellbeing standards with health and preventive care programs
 </li>
 <li>
 Gender-neutral parental leave for a minimum of 8 weeks
 </li>
 <li>
 Employee Share Plan with voluntary investment and Henkel matching shares
 </li>
 <li>
 Comprehensive Health Insurance for employee + dependents
 </li>
 <li>
 Employee Assistance Program provides a wide range of mental health and wellbeing benefits
 
 
 </li>
 </ul>
 At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.
</div>

Data Scientist

<div>
 
 
 Line of Service
 
 
 Advisory
 
 
 
 
 Industry/Sector
 
 
 Technology
 
 
 
 
 Specialism
 
 
 Advisory - Other
 
 
 
 
 Management Level
 
 
 Manager
 
 
 
 
 Job Description &amp; Summary
 
 
 At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
 
 
 Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
 
 
 
 
 Role Overview
 
 
 
 We are seeking a highly skilled and experienced Data Scientist to join our team at a leading professional services firm. The ideal candidate will have a strong background in data science, analytics, and machine learning, with at least 4 years of relevant experience. This role involves working closely with cross-functional teams to derive actionable insights from complex data sets and support strategic decision-making about how we attract, develop, and retain top talent, improve decision-making about our people, and deliver business-driven, actionable insights.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and implement advanced data models and algorithms to solve business problems.
 </li>
 <li>
 Analyze large and complex data sets to identify trends, patterns, and insights.
 </li>
 <li>
 Collaborate with stakeholders to understand business requirements and translate them into business questions and data solutions.
 </li>
 <li>
 Develop and maintain dashboards, reports, and visualizations to communicate findings effectively.
 </li>
 <li>
 Apply machine learning and AI techniques to enhance data-driven decision-making.
 </li>
 <li>
 Ensure data governance, quality, and compliance with internal and external standards.
 </li>
 <li>
 Stay current with industry trends and emerging technologies in data science and analytics.
 
 
 </li>
 </ul>
 
 Required Qualifications and Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
 </li>
 <li>
 Minimum of 4 years of professional experience in data science or analytics roles.
 </li>
 <li>
 Technical proficiency in complex statistical analysis using tools such as R or Python.
 </li>
 <li>
 Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Knowledge of generative AI models and their applications.
 </li>
 <li>
 Experience using APIs, SQL and other technical methods to extract and combine data from various sources.
 </li>
 <li>
 Strong skills in data visualization tools such as Power BI.
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills, both written and verbal (in English).
 </li>
 <li>
 Flexibility to work across time zones and support global clients.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Advanced degree (MSc or PhD) in a quantitative field.
 </li>
 <li>
 Experience in extracting and working with large and complex people data sets, preferably Workday HCM.
 </li>
 <li>
 Experience working in a professional services or consulting environment.
 </li>
 <li>
 Experience in managing analytics projects in a complex, matrixed environment.
 </li>
 <li>
 Familiarity with cloud platforms such as AWS, Azure, or GCP.
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong interpersonal and stakeholder management skills.
 </li>
 <li>
 Ability to work independently and collaboratively in a team environment, providing coaching, feedback and supervision.
 </li>
 <li>
 Excellent time management and organizational skills.
 </li>
 <li>
 Eagerness to innovate and learn new technologies, failing fast and learning from mistakes.
 </li>
 <li>
 High attention to detail.
 </li>
 <li>
 Adaptability and resilience in a fast-paced environment
 
 </li>
 </ul>
 
 
 Required Skills
 
 
 
 
 
 Optional Skills
 
 
 Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Big Data, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Embracing Change, Emotional Regulation {+ 23 more}
 
 
 
 
 
 Desired Languages
 
 
 
 
 (If blank, desired languages not specified)
 
 
 
 
 
 
 Travel Requirements
 
 
 
 
 
 Available for Work Visa Sponsorship?
 
 
 
 
 
 Government Clearance Required?
 
 
 
 
 
 Job Posting End Date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
</div>

ETIC, Data Science - Manager

Ericsson

<div>
 
 Join our Team
 
 
 
 
 About This Opportunity
 
 
 
 As a Senior Data Scientist, you'll be responsible for developing scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics. Provide thought leadership, perform Advanced Statistical Analytics, and build insights into data to provide to the business useful insights, identify trends, and measure performance that addresses business problems. Collaborate with business and process owners to understand business issues, and with engineers to implement and deploy scalable solutions, where applicable.
 
 
 
 What you will do:
 
 
 
 <ul>
 <li>
 Perform Data Science leadership.
 </li>
 <li>
 Synthesize problems into data question(s).
 </li>
 <li>
 Decide approach for Data Science.
 </li>
 <li>
 Design &amp; perform data science experiments.
 </li>
 <li>
 Do Proof-of-Concepts on Cloud Infrastructures.
 </li>
 <li>
 Develop Data Science Infrastructure &amp; Tools.
 </li>
 <li>
 Convert data into useful insights.
 </li>
 <li>
 Act in external relations.
 
 
 </li>
 </ul>
 
 The skills you bring:
 
 
 
 <ul>
 <li>
 A bachelor's or master's degree in computer science, engineering, or a related field.
 </li>
 <li>
 Minimum 6+ years of professional work experience in technology, business analytics and working with large data sets, preferably in a global environment with distributed virtual teams.
 </li>
 <li>
 Minimum 4+ years of experience in data science.
 </li>
 <li>
 Fluency in Python is a MUST.
 </li>
 <li>
 Excellent general Software Engineering skills: maintainable code, testing, design principles, Object Oriented Programming.
 </li>
 <li>
 A good conceptual understanding of statistics, probability, multivariable calculus, and linear algebra.
 </li>
 <li>
 A good understanding of the underlying theory for both classical machine learning as well as deep learning algorithms.
 </li>
 <li>
 Experience with using ML and DL frameworks (Tensorflow, Pytorch, Keras, etc.).
 </li>
 <li>
 Experience with data manipulation and analysis using Pandas is a must.
 </li>
 <li>
 Expertise in unsupervised learning techniques and advanced clustering algorithms, with a focus on practical application and interpretation of results.
 </li>
 <li>
 Experience with Python Visualization Libraries (Matplotlib, Plotly, Seaborn, etc.).
 </li>
 <li>
 Experience in packaging machine learning work.
 </li>
 <li>
 Experience with version control systems (e.g., Git).
 </li>
 <li>
 Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for data processing, model training, and model deployment.
 </li>
 <li>
 Experience with using testing frameworks (Pytest, Unittest, etc.).
 </li>
 <li>
 Experience with reinforcement learning is a strong plus.
 </li>
 <li>
 Demonstrated skills in Generative AI, with hands-on experience in working with LLMs and RAGs.
 </li>
 <li>
 Hands-on involvement in fine tuning LLMs is a bonus.
 </li>
 <li>
 Experience with SQL is a plus.
 </li>
 <li>
 Knowledge of natural language processing (NLP) techniques and tools, or experience with generative models like GPT or BERT is highly desirable.
 </li>
 <li>
 Experience with Tableau or Power BI is a plus.
 </li>
 <li>
 The ability to handle large amounts of high dimensional data (knowledge of Hadoop or Spark) is a plus.
 </li>
 <li>
 Effective collaboration in cross-functional teams.
 </li>
 <li>
 Leadership skills and ability to mentor junior data scientists.
 </li>
 </ul>
</div>

Senior Data Scientist

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