Data Scientist

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.

What our employees say:
It’s been around two years of working experience in o9 in Analytics COE team, but by each passing day I really enjoyed working here and each day turned out to be a learning experience for me. Each day comes up with some new challenges and results in new learnings. End of the day, I can say that I am very happy and satisfied with the work I am doing and looking forward for many more exploring opportunities here.
- Kadambini Indurkar, Data Scientist

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
- 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
- Analyze problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons
- Application of common business metrics and the ability to generate new ones as needed
- Work collaboratively with Clients, Project Management, 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
- What you are/need:_
- Skills, experience, education, behavioral traits_

Mandatory:

- 2 to 4 years of experience in the field of Data Science and Analytics
- Strong programming skills and experience in using Python and/or R 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
- Strong presentation and communications skills with ability to communicate complex analytical or technical concepts to audiences with limited analytical or technical background
- Master’s degree in computer science, Applied Mathematics, Statistics, Engineering, Business Analytics, Operations, or related field

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
- Understanding of Supply Chain Concepts will be preferable

What we’ll do for you:

- Competitive salary
- Stake in game with equity participation: we grow, you grow
- Support network: Work with a team you can learn from and every day.
- Get social: When we work from home, we play from home with fun after-work activities like Social Fridays. If you’re in the office, feel free to join these events in person.
- Flat organization: With a very strong entrepreneurial culture (and no corporate politics).
- Diversity: We pride ourselves on our international working environment.

How the process works:

- You’ll be contacted by our recruiter, who’ll fill you in on all things o9, give you some background about the role and get to know you. They’ll contact you either via video call or phone call - whatever you prefer.
- We will have 3 rounds of technical discussion followed by a HR discussion

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