Head of Data Science

10+ Years
Responsibilities  Use statistical and machine learning techniques to develop GenAI
(LLM, Agents, RAG), Predictive models, algorithms, and data products.
Define and own the data science and AI roadmap, aligning with the
company’s vision and product strategy.
Lead a team of data scientists, machine learning engineers, and research
scientists working on LLMs, generative AI, computer vision, and NLP
projects.
Oversee the end-to-end development and deployment of machine
learning models, from research and experimentation to production and
MLOps.
Work with complex data sets to extract insights and develop actionable
recommendations for business stakeholders
Design, develop and implement machine learning pipelines and

production-ready systems that manage high traffic and real-time data.
Design and implement predictive models to support business decisions
and enhance operational efficiencies.
Own performance tuning, cost optimization, and governance for cloud-
native workloads.
Define and execute the overall data science strategy and roadmap
aligned with business objectives.
Lead and mentor a team of data scientists, machine learning engineers,
and analysts.
Oversee the development and deployment of predictive models, natural
language processing (NLP), computer vision, and other advanced
analytics solutions.
Collaborate with product, engineering, and business stakeholders to
translate complex business problems into scalable data science solutions.
Promote a data-first culture and champion the use of AI/ML in strategic
decision-making across departments.