- Develop and validate predictive models, machine learning algorithms, and statistical frameworks that solve business problems (e.g., churn prediction, user segmentation, personalization).

- Apply advanced statistical techniques and data mining methods to uncover patterns, insights, and opportunities.

Business Insight & Strategy :

- Translate analytical results into actionable business recommendations for stakeholders.

- Work closely with product and marketing teams to define KPIs and measurement frameworks that drive performance.

- Communicate complex analytical concepts clearly to non technical audiences.

Model Deployment & Impact :

- Collaborate with Engineering teams to productionize models and ensure reliable deployment of analytics solutions.

- Monitor model performance, conduct error analysis, and iterate to improve accuracy and robustness.

Mentorship, Leadership & Collaboration :

- Provide technical guidance and mentorship to junior data scientists and analysts.

- Partner with cross functional teams to integrate data science capabilities into product workflows and strategic planning.

Data Infrastructure & Best Practices :

- Contribute to the development of scalable data pipelines and analytics tools.

- Promote best practices in data quality, documentation, and reproducibility.

Qualifications & Skills :

- 5+ years of professional experience in data science, analytics, or a related role.

- Strong programming skills in Python, R, or similar languages for data analysis and modeling.

- Expertise with data manipulation and querying languages such as SQL.

- Hands on experience with statistical modeling, machine learning techniques (classification, regression, clustering, etc.), and predictive analytics.

- Familiarity with data visualization tools like Tableau, Power BI, Matplotlib, or Seaborn to communicate insights.

- Experience with cloud platforms and big data technologies (e.g., AWS, GCP, Hadoop, Spark) is a plus.

- Strong analytical, problem solving, and critical thinking skills.

- Excellent communication skills with the ability to collaborate with both technical and business stakeholders.

- Advanced degree (Masters or PhD) in Data Science, Statistics, Computer Science, Mathematics, or a related discipline is desirable but not mandatory.