Senior Data Scientist

Description :

Job Title : Senior Data Scientist Classical ML / Forecasting / Pricing / Optimization

Location : [Multiple Location]

About the Role :

We are seeking an experienced Senior Data Scientist who is passionate about leveraging data-driven techniques to solve high-impact business problems. The ideal candidate will have a strong background in classical machine learning, forecasting, and optimization techniques, combined with hands-on expertise in Python, SQL, and statistical modeling.

The role involves working on end-to-end analytical projects including demand forecasting, pricing optimization, and inventory management, while collaborating closely with business, product, and engineering teams to deliver measurable value.

Key Responsibilities :

Model Development & Deployment :

- Design, develop, and deploy predictive and optimization models for real-world business use cases such as demand forecasting, dynamic pricing, and inventory optimization.

- Implement and validate classical ML algorithms (e.g., Linear Regression, Logistic Regression, Random Forest, Decision Trees, XGBoost, Time Series Models).

- Apply feature engineering, model tuning, and validation techniques to ensure robust model performance.

Business Problem Solving :

- Translate complex business problems into structured analytical frameworks.

- Partner with business stakeholders to identify opportunities for data-driven decision-making.

- Deliver actionable insights and recommendations that drive measurable business outcomes.

Data Management & Engineering :

- Build and maintain scalable data pipelines and analytical workflows using Python and SQL.

- Work closely with Data Engineering teams to ensure smooth data ingestion, cleaning, transformation, and model integration into production systems.

- Manage and process large datasets, ensuring data quality and consistency.

Analytical Delivery & Communication :

- Develop clear, compelling data stories, visualizations, and reports using tools like Tableau, Power BI, matplotlib, or seaborn.

- Present analytical outcomes and strategic insights to senior leadership and cross-functional teams.

- Document model development processes, assumptions, and validation results.

Leadership & Mentorship (L4 / L5 Levels) :

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

- Manage project delivery across multiple accounts or business verticals.

- Drive adoption of data science best practices and standards across the organization.

Required Skills and Experience :

Technical Skills :

- Strong programming skills in Python (pandas, scikit-learn, statsmodels, NumPy, SciPy).

- Proficiency in SQL for complex data extraction, transformation, and manipulation.

- Solid understanding of classical ML algorithms, including :

- Linear & Logistic Regression

- Decision Trees / Random Forests / XGBoost

- Time Series Forecasting (ARIMA, SARIMA, Prophet, Exponential Smoothing)

- Clustering & Segmentation Techniques

- Hands-on experience with model evaluation, cross-validation, and hyperparameter tuning.

- Domain Expertise (any of the following) :

- Demand Forecasting

- Price Optimization

- Inventory Optimization / Supply Chain Analytics

Additional Desirable Skills :

- Exposure to optimization algorithms (e.g., Linear Programming, Mixed Integer Programming).

- Experience with distributed computing frameworks (Spark, Hadoop).

- Familiarity with cloud platforms (AWS, GCP, Azure) for model deployment.

- Proficiency in data visualization using Tableau, Power BI, or Python libraries.

Soft Skills :

- Strong analytical thinking, problem-solving, and quantitative reasoning.

- Ability to communicate technical concepts to non-technical stakeholders.

- Collaborative mindset with a focus on delivering business impact.

- High ownership, accountability, and attention to detail.

Experience & Qualifications :