Senior Data Scientist
o9 Solutions, Inc. · Bengaluru
- Experience3–4 yrs
- SalaryNot disclosed
- Work modeonsite
- Posted25 Sept 2026
About o9 Solutions, Inc.
o9 Solutions, Inc. is hiring in Bengaluru in technology software. This role looks for around 3+ years of experience.
Skills
- time series forecasting
- machine learning
- Python
- R
- statistical modeling
- supply chain planning
- demand planning
- optimization
- anomaly detection
- simulation
- feature engineering
- forecast accuracy metrics
- real-time integrations
The role
A data scientist at a supply chain planning software company applies time series forecasting and machine learning to demand planning and optimization, using Python and statistical modeling to build scalable decision systems. The role also develops real-time integrations and evaluates forecast accuracy for business planning.
Full job description
Job Title: Senior Data Scientist - 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/drawbacksDevelop 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 problemsAnalyze problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasonsApplication 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 systemsWork collaboratively with Clients, Project Management, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projects
What you’ll have:Experience: 3+ 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 fieldLanguages: Python and/or R for Data ScienceSkills: 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 skillsWe 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 preferredExposure to distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, or related Big Data technologiesExperience with Deep Learning frameworks such as Keras, Tensorflow or PyTorch is preferableExperience in implementing planning applications will be a plusUnderstanding of Supply Chain Concepts will be preferableMasters Degree in Computer Science, Applied Mathematics, Statistics, Engineering, Business Analytics, Operations, or related field
What we’ll do for youCompetitive salary with stock options to eligible candidatesFlat organization: With a very strong entrepreneurial culture (and no corporate politics)Great people and unlimited fun at workPossibility to make a difference in a scale-up environment.Opportunity to travel onsite in specific phases depending on project requirements.Support network: Work with a team you can learn from everyday.Diversity: We pride ourselves on our international working environment.Work-Life Balance: https://youtu.be/IHSZeUPATBA?feature=sharedFeel part of A team: https://youtu.be/QbjtgaCyhes?feature=shared