Senior Data Scientist

Description : Job Title : Senior Data Scientist Classical ML / Forecasting / Pricing / OptimizationLocation : [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 AnalyticsAdditional 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 & Qualifications : - BE/BTECH/MSC/BSC (ref:hirist.tech)