Impact Analytics - Data Science Lead - SQL / R / Python

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 years inputs to forecast and plan this years 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. Heres a link to our website : www.impactanalytics.co.

The impact that 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 entail :

• Understanding business objectives and formulate the problem as a Data Science problem (Expert level proficiency in Forecasting)
• 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

What lands you in this role :

(ref : hirist.tech)