Data Science Lead

About Impact Analytics

Impact Analytics™ (Series D Funded) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year’s inputs to forecast and plan this year’s business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery,

manufacturing, and CPG sectors. In 2025, Impact Analytics is at the forefront of the Agentic AI revolution, delivering autonomous solutions that enable businesses to adapt in real time, optimize operations, and drive profitability without manual intervention.

Here’s a link to our website: www.impactanalytics.co.

Impact Analytics builds AI-powered, Cloud-Native products and platforms. As we tackle increasingly complex backend challenges, we are looking for seasoned backend architects to collaborate with product and engineering teams in shaping the future of enterprise software.

The Impact You Will Be Making

Data Science Lead will lead a team of Data Scientists / Senior Data Scientists and help us discover the

information hidden in vast amounts of data, make smarter decisions to deliver even better products.

The primary focus will be in leading the application of data mining techniques, doing statistical analysis,

and building high-quality prediction systems integrated with our products.

What This Role Entails

• Understanding business objectives and formulate the problem as a Data Science problem
  
  

• Develop and maintain robust data processing pipelines and reproducible modelling pipelines.
• Explore data and communicate insights clearly
• Manage a team of data scientists and senior data scientists
• Analyze experimental results, iterate and refine models to create significant business impact
• Build analytic systems and predictive models
• Test performance of data-driven products
• Experiment with new models and techniques
  
  

• Strong forecasting experience
• Must have exposure to developing predictive analytics and machine learning algorithms for
  
  

• Good knowledge of data management and visualization techniques
• Hands-on experience of working across SQL, R, Python, Hadoop
• Experience of managing teams of at least 2-3 members
• Strong organizational and leadership skills
• Understanding and exposure to business applications and integration of analytics with
  
  

• B Tech/BE degree in Computer Science, Data Science, Mathematics or similar field
  
  

• Ranked as one of Americas Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024.
• Ranked as one of Americas Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024.
• Voted #1 by more than 300 retailers worldwide in the RIS Software Leader Board 2024 report.
• Ranked #72 in America’s Most Innovative Companies list in 2023—by Fortune—alongside companies like Microsoft, Tesla, Apple, IBM, etc.
• Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools.
• Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.