o9 Solutions

Senior Data Scientist, Time Series Forecasting

India · Work style not stated · Full time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

Employero9 Solutions
LocationIndia
Work styleWork style not stated
Employment typeFull time
Employer posted8 Oct 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: Senior Data Scientist

At o9, we invest in people. We seek talented, driven individuals to power our transformative approach. You’ll thrive in a dynamic, supportive environment, growing while making a real impact.

What you’ll do for us

Own End to end discovery, design, configuration, testing and deployment of analytical models and communication with internal and external stakeholders
Identify relevant internal and external data sources. Recommend and oversee appropriate statistical, ML and predictive modeling concepts
Apply a variety of machine learning techniques (clustering, regression, ensemble, neural nets, time series, optimizations etc.) to their real-world advantages/drawbacks
Analyse, tune, and improve existing production forecasting systems to enhance forecast accuracy and reliability. This includes diagnosing sources of forecast error, identifying opportunities for model/parameter improvements, and making data-driven changes while maintaining production stability.
Ability to understand, explain, and defend existing forecasts to customers, including clearly articulating the key drivers, assumptions, methodology, and process through which forecast numbers are generated. Should be able to translate complex forecasting concepts into clear business language and confidently address customer questions or challenges.
Develop and deploy models for advanced models for demand planning/forecasting/sensing
Design and build innovative models for revenue management and commercial planning
Work on Market Intelligence, optimization (Heuristic, LP, GA etc), Anomaly detection, Simulation and stochastic models, etc.
Use latest advancements in AI/ML to solve business problems
Application of common business metrics and the ability to generate new ones as needed
Work collaboratively with Clients, Project Managrs, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projects
Guide junior data scientists and oversee their activities to ensure proper alignment/execution of their activities and maintain high coding standards and best practices within organization.

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What you’ll have

Experience: 4 to 6 years of experience in the field of Data Science and Analytics, experience in time series forecasting will be good to have

Education: Master’s Degree. Degrees in the following fields: Operations Research, Mathematics, Science, Engineering, Business Administration, Business Analytics, Computer Science, or related fields (including Supply Chain Engineering).

Skills:

Strong programming skills and experience in using Python/Pyspark for Data Science
Strong analytical techniques, data mining knowledge and proficiency in handling and processing large amounts of data is needed
Deep Knowledge of statistical and machine learning algorithms.
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 building scalable ML frameworks for demand sensing including identifying and collecting relevant input data, feature engineering, tuning and testing.
Experience in price elasticity models, price optimization, market mix modelling and trade promo optimization
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.
Strong presentation and communications skills with ability to communicate complex analytical or
Technical concepts to audiences with limited analytical or technical background.

Characteristics

● 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.

What We Offer

Competitive Salary – We recognize and reward talent.
Tech Tools – Choose a Windows or PC laptop, whatever helps you work best.
Flexible Work – Work from home two days a week—less commuting, more time for what matters.
Supportive Team – Work alongside a diverse, talented team you can learn from every day.
Diversity & Inclusion – We celebrate our international workforce and value different perspectives.
Food & Drink – Enjoy healthy snacks, fresh fruit, teas, and coffees.

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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