Data Scientist supporting management consultants conduct data analysis and providing strategic decision - making insights. Involves data processing, model development, and collaborative problem - solving with clients.
About the role
- Senior Data Scientist at Analytic Partners designing advanced data science and AI solutions. Collaborating with teams to drive innovations and impact on products and clients.
Responsibilities
- Design, develop, and deploy advanced analytical and machine learning solutions, including econometric, statistical, and AI/ML-based approaches, to support AP products and custom solutions.
- Build and enhance Generative AI and LLM-based applications, working closely with Engineering partners to productionize scalable, reliable AI-enabled systems.
- Drive end-to-end model development, from problem formulation and data exploration through modeling, validation, deployment, and monitoring.
- Partner with Product, CET, and business stakeholders to translate business needs into clear analytical and AI-driven solutions.
- Evaluate and experiment with new data sources, modeling techniques, and AI technologies to improve existing solutions and unlock new product opportunities.
- Contribute to best practices in model quality, explainability, reproducibility, and deployment across the Science Team.
- Mentor and collaborate with other Data Scientists by sharing knowledge, reviewing work, and helping tackle technically challenging problems.
- Clearly communicate analytical insights, model behavior, and technical trade-offs to both technical and non-technical audiences.
Requirements
- Advanced degree (MS) in Computer Science, Statistics, Engineering, Economics, Applied Mathematics, or a related quantitative field.
- 6–8+ years of industry experience in data science, applied machine learning, or related quantitative roles.
- Strong hands-on experience building production-grade ML systems, from prototyping through deployment and iteration.
- Deep experience with NLP and Generative AI, including:
- - LLM-based applications
- - Prompt engineering and evaluation
- - Fine-tuning or adapting LLMs
- - Familiarity with open-source LLM ecosystems and tooling
- Solid foundation in statistics and modeling, with the ability to reason about model assumptions, validation, and trade-offs.
- Passion for applying cutting-edge AI/ML techniques to real-world business problems.
- Strong programming skills (e.g., Python) and experience working with data pipelines, version control, and modern ML tooling.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Scientist analyzing large datasets to discover trends and supporting business stakeholders with data - driven insights. Designing machine learning models and presenting information through data visualization.
Senior Data Scientist designing generative AI applications at Roche, leveraging extensive expertise in AI and business applications. Collaborating with teams and influencing technical priorities in a dynamic environment.
Data Scientist building extensible multi - agent infrastructure at Roche. Focused on Generative AI solutions transforming healthcare and biotech operations.
Data Scientist executing complex data science projects in Pharma R&D at Roche. Leading AI initiatives and data integration efforts to drive strategic decision - making.
Senior Data Scientist building machine learning solutions for Kempower's EV charging software. Collaborating across teams and mentoring junior colleagues in a hybrid work environment.
Data Science Intern supporting AI/ML initiatives within Foundation GEOINT. Working on computer vision and geospatial data analysis for government customers.
Data Scientist helping drive customer success and engagement using data - driven insights at OpenAI. Collaborating with various business units to optimize performance and foster growth.
Senior Data Scientist developing NLP and data science solutions for fast - evolving markets at LSEG. Collaborating with Subject Matter Experts to ensure production - ready, customer - focused outcomes.
Data Scientist III at Frost managing data extraction and modeling for banking services. Lead projects, mentor analysts, and design machine learning algorithms for business optimization.