Data Scientist - R / SQL / Python

Position Overview :

As a key member of the data science practice, you will lead efforts to transform raw data into strategic insights that enhance system performance and drive cost efficiencies. You will tackle complex challenges within ML and infrastructure ecosystems, designing rigorous experiments and models that inform product and business decisions.

In this role, you will partner closely with engineering, product, and client teams to translate data signals into actionable strategies. Your work will directly impact the optimization of bidding systems and the evolution of our AI-powered products, positioning you at the heart of ambitious growth Responsibilities :

• Analyze large, complex datasets using Python, R, and SQL to extract meaningful patterns and signals.
• Develop and implement simulation models to validate hypotheses and quantify performance gains.
• Design robust experiments and metric frameworks to deliver unbiased insights for product and business decisions.
• Collaborate with engineering and product teams to integrate data-driven solutions into production-grade ML systems.
• Communicate findings and recommendations effectively to stakeholders through clear visualisations and reports.
• Optimize ML algorithms and infrastructure to improve efficiency, scalability, and Success Factors
• Timely delivery of actionable insights that lead to measurable cost reductions and performance improvements.
• Successful implementation of experimental designs resulting in quantifiable system gains.
• Effective collaboration with cross-functional teams, evidenced by seamless integration of data solutions.
• High stakeholder satisfaction and retention through clear communication and impactful and Experience
• Masters degree in a quantitative discipline (e.g., Statistics, Mathematics, Computer Science) or equivalent.
• Minimum 3 years of professional experience in data science, analytics, or a related field.
• Proven expertise in statistical analysis, experimental design, and machine learning algorithm

development.

(ref : hirist.tech)