Senior Data Scientist

Tredence Inc.; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Tredence Inc. is seeking a Senior Data Scientist in Bengaluru who thrives on solving complex business problems with data. You will leverage Python, SQL, and advanced ML techniques to drive data-driven strategies across product and business teams.

The role emphasizes building scalable data pipelines, deploying models, and mentoring junior staff while collaborating with cross-functional stakeholders. Retail, e-commerce, or logistics exposure is a strong plus.

Qualifications

• 5+ years of experience in a Data Science or Analytics role with a strong business impact.
• Strong programming skills in Python (pandas, scikit-learn, statsmodels, etc.).
• Proficiency in SQL for data extraction, transformation, and manipulation.
• Deep understanding of machine learning algorithms (regression, classification, clustering, time series forecasting).
• Experience in domains: Demand Forecasting, Price Optimization / Price Elasticity / Revenue Growth Management, or Recommendation.

Responsibilities

• Design, build, and deploy predictive and optimization models for demand forecasting, dynamic pricing, or inventory optimization.
• Translate business problems into analytical frameworks and provide actionable insights.
• Build and maintain scalable data pipelines and model workflows using Python and SQL.
• Collaborate with data engineers to ensure model integration into production systems.
• Present findings and recommendations to leadership using data visualizations and storytelling.
• Stay current with the latest techniques in ML, statistics, and operations research.
• Lead and mentor junior data scientists and analysts when required.

Skills

Python

SQL

ML Algorithms

Forecasting

Pricing Optimization

Inventory Planning

Data Pipelines

Visualization

Spark

Hadoop

Education

Master's or PhD or BE/BTech in CS/Statistics/Math/Economics/Operations Research

Tools

PuLP

OR-Tools

Gurobi

Job description

We are looking for aSenior Data Scientistwho is passionate about solving complex business problems using data. The ideal candidate will have strong hands-on experience inPython,SQL, and advancedmachine learning algorithms, along with domain expertise inforecasting,pricing optimization, orinventory planning. You will work closely with cross-functional teams including product, engineering, and business stakeholders to drive data-driven strategies.

Key Responsibilities:

• Design, build, and deploypredictive and optimization modelsfor use cases such asdemand forecasting,dynamic pricing, orinventory optimization.


• Translate business problems into analytical frameworks and provide actionable insights.


• Build and maintain scalable data pipelines and model workflows using Python and SQL.


• Collaborate with data engineers to ensure model integration into production systems.


• Present findings and recommendations to leadership using data visualizations and storytelling.


• Stay current with the latest techniques inmachine learning,statistics, andoperations research.


• Lead and mentor junior data scientists and analysts when required.

Required Skills and Experience:

• 5+ years of experience in a Data Science or Analytics role with a strong business impact.


• Strong programming skills inPython(pandas, scikit-learn, statsmodels, etc.).


• Proficiency inSQLfor data extraction, transformation, and manipulation.


• Deep understanding ofmachine learning algorithms(regression, classification, clustering, time series forecasting).


• Experience with one or more of the following domains:
  
  
  
  • Demand Forecasting
  
  
  • Price Optimization / Price Elasticity / Revenue Growth Management
  
  
  • Recommendation
  
  
  
  


• Strong problem-solving and quantitative skills.


• Experience working with large datasets and distributed computing tools (e.g., Spark, Hadoop) is a plus.


• Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn).

Preferred Qualifications:

• Master's or PhD or Engineering (BE/Btech) in Computer Science, Statistics, Mathematics, Economics, Operations Research, or a related field.


• Experience in retail, e-commerce, manufacturing, or logistics is a strong plus.


• Exposure to optimization libraries (e.g., PuLP, OR-Tools, Gurobi) is a bonus.


• Experience deploying models using MLOps tools or platforms is a plus.