Data Scientist
Posted
Jul 14, 2026 (Yesterday)
Seniority
Senior
Work Model
Hybrid
Type
Not Specified
Category
Salary
Not specified
Skills
Description
Comapny Name: WillwareTechnologies Role: Data Scientist Experience:5+ Years Location: Chennai, Bangalore, Hyderabad, Mumbai, Noida, WorkMode: Hybrid Job Summary We are seeking a Data Scientist – Supply Chain Analytics to develop advanced analytics and machine learning solutions that optimize supply chain operations. The ideal candidate should have expertise in statistical modeling, forecasting, optimization, and data science, with hands-on experience in demand forecasting, inventory planning, procurement, and logistics analytics. Key Responsibilities Analyze large-scale supply chain data to identify trends, patterns, and business opportunities. Develop, validate, and deploy machine learning and statistical models for demand forecasting and inventory optimization. Apply regression, classification, clustering, and optimization techniques to solve complex supply chain problems. Build forecasting models to improve inventory planning and service levels. Perform data ingestion, data cleaning, feature engineering, and data preparation for analytics. Collaborate with business stakeholders to understand requirements and translate them into analytical solutions. Create dashboards and visualizations to present actionable insights. Act as a Subject Matter Expert (SME) for supply chain analytics and provide data-driven recommendations. Recommend process improvements to enhance operational efficiency and business performance. Work closely with cross-functional teams including procurement, logistics, planning, and consulting teams. Required Skills 5–10 years of experience in Data Science or Supply Chain Analytics. Strong programming skills in Python, R, and SQL . Expertise in Applied Statistics and Hypothesis Testing . Hands-on experience with Regression, Classification, Clustering, and Optimization techniques. Experience in Demand Forecasting and forecasting model development. Strong knowledge of Data Ingestion, Data Cleaning, and Feature Engineering . Hands-on experience in Supply Chain Analytics , Inventory Planning , Procurement , and Logistics . Strong data visualization skills using Power BI, Tableau, or similar BI tools . Excellent analytical, problem-solving, and stakeholder management skills.
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