Senior Data Scientist
About The Client:
A global professional services network and part of the Big Four, along with Client, EY, and KPMG, operating across 149 countries worldwide.
About The Job:
- The ideal candidate will use data driven insights to improve supply chain performance, enable better decision making, and solve operational challenges.
- This role works closely with cross functional teams and applies advanced analytics, machine learning, and optimization techniques across supply chain areas such as forecasting, planning, and process improvement.
Essential Job Functions:
- Data Analysis & Modeling: Work with large supply chain datasets (demand, supply, inventory) to identify trends and actionable insights.
- Machine Learning for Forecasting:
- Apply and refine statistical/ML-based forecasting models
- Perform data ingestion, cleaning, validation, visualization, and feature engineering, configuring forecasting models
- Tune and evaluate forecasting models
- Communicate insights clearly to stakeholders
- Supply Chain Optimization: Apply optimization models/algorithms to improve efficiency, reduce costs, and improve service levels.
- Consulting & Advisory: Act as an analytics SME, guiding teams on best practices, tools, and data-driven decision approaches.
- Process Improvement: Identify gaps in supply chain processes and recommend data-backed improvements.
Qualifications:
- Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Industrial Engineering, Operations Research, Supply Chain, or related fields.
- Experience: 6–18 years in data science or supply chain analytics, with strong exposure to forecasting, statistical/ML modeling, or supply chain planning analytics.
- Technical Skills:
- Proficiency in Python/R/SQL
- Strong applied statistics (distributions, hypothesis testing, regression)
- Experience with data visualization tools
- Experience with supply chain data, planning systems, or forecasting processes
- Machine Learning: Hands-on experience with regression, classification, clustering, or optimization algorithms.
- Industry Knowledge: Understanding of demand forecasting, inventory planning, procurement, logistics, or related supply chain functions.
- Analytical Skills: Ability to work with complex datasets and convert findings into practical business recommendations.
Personal Competencies
- Ability to work independently and collaboratively in a consulting environment.
- Strong attention to detail with comfort handling large datasets.
- Excellent verbal and written communication skills to simplify technical insights for non technical teams.
How to Apply: Interested candidates are encouraged to respond or submit their updated resumes, and for additional job opportunities, please visit Jobs In India – VARITE.
Unlock Rewards:
Refer Candidates and Earn.
If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral Program, where you'll receive a one-time referral bonus based on the following scale if the preferred candidate completes a three-month assignment with VARITE.
Experience Level Bonus Referral:
0–2 years: INR 5,000
2–6 years: INR 7,500
6+ years: INR 10,000
About VARITE:
VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.
Equal Opportunity Employer:
VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.