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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.
The impact that you will be making
IA’s Ada forecast engine is a powerful ensemble of myriad AI/ML algorithms consisting of Deep Learning (CNN, RNN, TFT etc.), ML based (Regression, Decision Trees etc.), Time Series based (ARIMAX, CROSTON etc.) and other best in class (Prophet, N-BEATS etc) algorithms. The engine finds and tunes the best combination of parameters, variables, and algorithms from a large space of possible combinations which automatically takes in the latest data and improves over time. The engine is further continuously enhanced by the addition of the newest and best AI/ML algorithms for forecasting from academic and industrial research. The forecasts for Ada will feed into IA’s products like Prices mart, Allocate smart, Plan smart etc. which will be consumed by clients for merchandize planning.
The DS role would require you to take end-to-end ownership of forecast generation (data to delivery), weekly simulations, model refresh of multiple clients using IA’s Ada forecast engine. You will also be required to create reports on a weekly basis to report forecast accuracies and perform RCA on low forecast accuracies. There will also be support required in forecast improvement R&D efforts as needed. You will primarily be interacting with internal product teams and analytics services teams and will be required to maintain a strong relationship with internal stakeholders and ensure timely delivery and support on forecast generation.
What Lands You In This Role
- 1 to 3 years of experience as a Data Scientist
- Technical skills:
○ Strong expertise in Python, SQL and Excel
○ Strong knowledge of basic statistics and machine learning
○ Prior hands on experience building forecasting models in any domain
○ Predictive Analytics & Machine Learning exposure preferred
○ Prior Experience In MLOps Platforms Preferred
○ Structured thought process and ability to break down complex problems
○ Knowledge of database management, reporting and analysis
○ Ability to prepare technical documentation like product issue logs, user manuals, product release notes and troubleshooting guides
○ Ability to work on complex, unique technical issues, and research possible solutions using a combination of consulting and testing
○ Experience in analysing data to draw business-relevant conclusions and in data visualization techniques and tools
○ Basic knowledge of at least a few of the retail processes like demand forecasting, inventory allocation & replenishment, merchandising, pricing &
promotions
○ Ability to perform root cause analysis to get to the bottom of the issue
○ Ability to do abstract problem solving and ideation
○ Ability to take up major collaborative efforts across various teams for issue resolution
○ Strong verbal and written communication
○ Attention to detail and ability to perform under pressure
○ Strong stakeholder management ability
○ Well-organized with the ability to multi-task & prioritize with minimal supervision
○ Highly motivated with the ability to work independently and in a team
- Bachelor's degree or equivalent with strong academic background
What We Offer
- An opportunity to work with the best companies globally
- Opportunities to quench your thirst for problem-solving, experimenting, learning, and implementing innovative solutions
- A flat, collegial work environment, with a work hard, play hard attitude
- A platform for rapid growth if you are willing to try new things without fear of failure
- Remuneration with best in class industry standards with generous health insurance cover
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.
Some Of Our Accolades Include:
- Ranked as one of America's Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024.
- Ranked as one of America's 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. Economic Times News about our funding can be accessed here.
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