Senior/Lead Data Scientist - Demand Forecasting

o9 Solutions; Bengaluru; On-site; INR 4,500,000 - 7,000,000; Full time

Job summary

o9 Solutions is hiring a Lead Data Scientist for Retail Demand Forecasting in Bengaluru. You will develop and optimize time-series forecasting models, leveraging ML techniques and real-time data integration to improve forecasting accuracy and supply chain decisions.

You will collaborate with cross-functional teams, apply advanced analytics, and contribute to designing scalable modeling frameworks for enterprise planning. A strong statistical background and hands-on Python/R are essential.

Qualifications

• 6+ years of experience in time series forecasting at scale using advanced models.
• Experience in demand planning, supply planning, or market intelligence.
• Masters or higher in a quantitative field.
• Proficiency in Python and/or R for data science.

Responsibilities

• Develop and optimize demand forecasting models for retail and supply chain.
• Build and deploy ML models and pipelines with real-time integration capabilities.
• Collaborate with Clients, PM, Solution Architects, and Data Engineers to deliver projects.
• Evaluate model performance using metrics like MAPE, bias, and forecast accuracy.

Skills

Time series forecasting

Python

R

Statistical analysis

Machine learning

Data visualization

Education

Masters in CS/Statistics/Applied Math

Tools

SQL

Hadoop/Spark

Gurobi

TensorFlow

Keras

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.

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.
• 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! We have a vision. Our Digital Brain, o9's AI-powered platform, is being used by global enterprises to drive their digital transformations. The integrated planning and operational efficiencies we provide is helping businesses do more, be more and mean more to the world at large. Because businesses that plan better, reduce waste, creating value for themselves and the planet. But we also have a vision for our people. We want the most talented, committed and driven people to power our transformative approach. As an individual and in a team, your actions reflect our values. In return, we'll provide a nurturing environment where you can be a part of something special.