JB001711 Data Science (2089) Bangalore, Pan India ·

Techilaservices; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Techilaservices in Bengaluru seeks a senior data scientist to drive data-driven improvements across supply chain forecasting and planning. You will apply advanced analytics, ML, and optimization to enhance performance and decision making.

The role requires 6–18 years of experience in data science or supply chain analytics, with strong Python/R/SQL skills and experience in forecasting, visualization, and planning processes.

Qualifications

• 6–18 years of data science or supply chain analytics experience.
• Strong Python/R/SQL skills with applied statistics knowledge.
• Experience forecasting models and data visualization tools.
• Experience with supply chain data, planning systems, or forecasting processes.
• Ability to translate complex findings into actionable business recommendations.

Responsibilities

• Data Analysis & Modeling: work with large supply chain datasets to identify trends and insights.
• Machine Learning for Forecasting: develop and refine forecasting models, perform data prep and feature engineering, evaluate models.
• Supply Chain Optimization: apply optimization models to improve efficiency and costs.
• Consulting & Advisory: guide teams on best analytics practices and data-driven decisions.
• Process Improvement: identify gaps and propose data-backed enhancements.

Skills

Python

R

SQL

Statistics

Forecasting

Data Visualization

Supply Chain Analytics

Problem Solving

Communication

Education

Bachelor's or Master's in Data Science / Computer Science / Operations Research / Supply Chain

Job description

Job Description 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.

What You’ll Do

• 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.

What We Are Looking For

• 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.