Data Scientist

About the Company

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 LeaderBoard 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.

About the Role

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.

Responsibilities

• Take end-to-end ownership of forecast generation (data to delivery).
• Conduct weekly simulations and model refresh for multiple clients.
• Create weekly reports on forecast accuracies and perform RCA on low forecast accuracies.
• Support forecast improvement R&D efforts as needed.
• Interact with internal product teams and analytics services teams.
• Maintain strong relationships with internal stakeholders.
• Ensure timely delivery and support on forecast generation.

Qualifications

• Bachelor's degree or equivalent with strong academic background.

Required Skills

• 1 to 3 years of experience as a Data Scientist.
• 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.

Preferred Skills

• Experience in analyzing 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.