o9solutions
Senior/Lead Data Scientist - Demand Forecasting
Build and optimize AI/ML models for retail demand forecasting and supply-chain planning using Python/R, time-series methods, and optimization algorithms.
- Compensation
- Not disclosed
- Location
- Bangalore, Karnataka, India
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 6+ years
- Category
- Data science
- Posted
Skills
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
Full description
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
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: