o9 Solutions

Senior/Lead Data Scientist - Demand Forecasting

India · Work style not stated · Full time

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About the role

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Employero9 Solutions
LocationIndia
Work styleWork style not stated
Employment typeFull time
Employer posted5 Sep 2026

Transforming the Future of Enterprise Planning

At o9, our mission is to be the Most Value-Creating Platform for enterprises by transforming decision-making through our AI-first approach. By integrating siloed planning capabilities and capturing millions—even billions—in value leakage, we help businesses plan smarter and faster.

This not only enhances operational efficiency but also reduces waste, leading to better outcomes for both businesses and the planet. Global leaders like Google, PepsiCo, Walmart, T-Mobile, AB InBev, and Starbucks trust o9 to optimize their supply chains.

Job Title: Lead Data Scientist -Retail Demand Forecasting

What you’ll do for us:

Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world advantages/drawbacks
Develop and/or optimize models for demand sensing/forecasting, optimization (Heuristic, LP, GA etc), Anomaly detection, Simulation and stochastic models, Market Intelligence etc.
Use latest advancements in AI/ML to solve business problems
Analyze problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons
Application of common business metrics (Forecast Accuracy, Bias, MAPE) and the ability to generate new ones as needed.
Develop or optimize modules to call web services for real time integration with externa systems
Work collaboratively with Clients, Project Management, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projects

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What you’ll have:

Experience: 6+ Years of experience in time series forecasting in scale using heuristic-based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet and custom parameter tuning.
Experience in applied analytical methods in the field of Supply chain and planning, like demand planning, supply planning, market intelligence, optimal assortments/pricing/inventory etc.
Should be from a statistical background.
Education: Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field
Languages: Python and/or R for Data Science
Skills: Deep Knowledge of statistical and machine learning algorithms, building scalable ML frameworks, identifying and collecting relevant input data, feature engineering, tuning, and testing.
Characteristics: Independent thinkers Strong presentation and communications skills
We really value team spirit: Transparency and frequent communication is key. At o9, this is not limited by hierarchy, distance, or function.

Nice to have:

Experience with SQL, databases and ETL tools or similar is optional but preferred
Exposure to distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, or related Big Data technologies
Experience with Deep Learning frameworks such as Keras, Tensorflow or PyTorch is preferable
Experience in implementing planning applications will be a plus
Understanding of Supply Chain Concepts will be preferable
Masters Degree in Computer Science, Applied Mathematics, Statistics, Engineering, Business Analytics, Operations, or related field

More about us…

At o9, transparency and open communication are at the core of our culture. Collaboration thrives across all levels—hierarchy, distance, or function never limit innovation or teamwork. Beyond work, we encourage volunteering opportunities, social impact initiatives, and diverse cultural celebrations.

With a $3.7 billion valuation and a global presence across Dallas, Amsterdam, Barcelona, Madrid, London, Paris, Tokyo, Seoul, and Munich, o9 is among the fastest-growing technology companies in the world. Through our aim10x vision, we are committed to AI-powered management, driving 10x improvements in enterprise decision-making. Our Enterprise Knowledge Graph enables businesses to anticipate risks, adapt to market shifts, and gain real-time visibility. By automating millions of decisions and reducing manual interventions by up to 90%, we empower enterprises to drive profitable growth, reduce inefficiencies, and create lasting value.

o9 is an equal-opportunity employer that values diversity and inclusion. We welcome applicants from all backgrounds, ensuring a fair and unbiased hiring process. Join us as we continue our growth journey!

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