Data Scientist

Job Role- Data Scientist

Job Type- Contract

Duration- 3 months with possible extension as per the performance.

Work mode- onsite(5.5 days in a week)

Location - Hyderabad

We’re looking for a multi-skilled Data Scientist to support our client’s digital transformation initiatives across sales, procurement, supply chain , and executive decision-making .

This role involves developing data-driven solutions that improve forecasting, logistics efficiency, and business intelligence.

Key Responsibilities

• Forecasting & Predictive Modelling: Build demand and price prediction models for dairy and agri-based products.
• Logistics Optimization: Develop algorithms for route planning and vehicle utilization using optimization techniques.
• Analytics & Insights: Create dashboards and generate insights from CRM, ERP, GPS, and app data.
• Gamification & App Analytics: Collaborate with mobile and marketing teams to enhance user engagement.
• Cloud & Data Engineering: Automate data pipelines (Python + SQL) and deploy models on cloud platforms.
• Stakeholder Collaboration: Partner with business leaders to define problems, present analytical solutions, and promote adoption.

Skills & Competencies

Must Have: Python, SQL, Machine Learning, Time-Series Forecasting, Power BI, Optimization Models

Preferred: Cloud platforms (AWS), Firebase/App Analytics Tools, Google OR-Tools/PuLP, Gamification Concepts

Bonus: R, NLP/CV, Deep Learning, APIs for weather/inventory

Qualification

• B.Tech/M.Tech/M.Sc. in Data Science, Computer Science, Statistics, or related fields
• Certifications in Python, ML, or Cloud preferred
• MBA or business exposure is a plus

Ideal Candidate

• 3–6 years of experience in data science roles
• Strong analytical and problem-solving skills
• Hands-on experience in forecasting, optimization, app analytics, and dashboards
• Independent contributor with cross-functional collaboration skills

Why Join Us

• Work directly on digital strategy initiatives with senior leadership
• Freedom to experiment with AI/ML in real-world business scenarios
• Cross-functional exposure across sales, procurement, IT, and supply chain