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 initiatives.

Key Responsibilities :

- 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 cost-effectiveness.

Critical Success Factors

- 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 results.

Education and Experience

- 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.

- Experience working with large-scale datasets and deployment of ML solutions in production environments.

Essential Skills and Competencies

Technical Skills :

- Strong knowledge of ML algorithms, including deep learning, random forest, gradient boosted trees, and clustering techniques.

- Expertise in experimental design, hypothesis testing, regression analysis, and statistical modelling.

Soft Skills :

- Strong problem-solving and critical-thinking abilities.

Behavioural Strengths :

- Adaptability in a fast-paced, agile environment.

- Meticulous attention to detail and commitment to high-quality deliverables.

Leadership Skills :

- Collaborative mindset with experience mentoring peers and driving cross-functional initiatives.

- Thought leadership in advocating best practices for data science and AI application