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Key Responsibilities
Lead the development and deployment of machine learning models and analytical solutions for business problems.
Partner with stakeholders to identify opportunities for data science to add value.
Design experiments and AB tests to evaluate product and feature performance.
Build predictive models optimization algorithms or forecasting systems as needed.
Analyze large complex datasets to derive actionable insights.
Communicate technical findings clearly to nontechnical audiences.
Mentor and support junior data scientists and analysts.
Ensure best practices in code documentation and reproducibility.
Required Qualification
Masters or PhD in Computer Science Statistics Mathematics or a related field.
Proficiency in Python or R and strong SQL skills.
Experience with ML frameworks eg scikitlearn XGBoost TensorFlow PyTorch.
Strong knowledge of statistics experimental design and causal inference.
Handson experience with data visualization tools eg Tableau Plotly Dash.
Ability to translate business questions into analytical problems.
Excellent communication and collaboration skills.
Skills
Mandatory Skills : Python - Data Science
Full-time