Senior/Lead Data Scientist - Demand Forecasting
Bangalore, Karnataka, India
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDevelop and optimize demand sensing and forecasting models
Apply machine learning techniques to real-world planning problems
Build optimization, anomaly detection, and simulation models
Develop modules that call web services for real-time integration
Work with clients, consultants, and data engineers on project delivery
From the employer’s posting
Develop and/or optimize models for demand sensing/forecasting
Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.)
optimization (Heuristic, LP, GA etc), Anomaly detection, Simulation and stochastic models
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
Education & alternatives
- 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
- 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…
Tools in this posting
- Python
- R
- SQL
- Hadoop
- Hive
- Spark
- Keras
- PyTorch
- TensorFlow
Source — Tool mentions in context
- 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.
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 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
- 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
Posting record
Report an errorOpen 5 monthsWe first saw this posting 174 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- May 10, 2026 · 174 days ago
- Recorded sightings
- 152
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on o9solutions.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
Job 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.
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:
- 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!
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bangalore, Karnataka, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.