o9 Solutions - Lead Data Scientist - Demand Forecasting

Job summary : Design and operationalize various kinds of descriptive, predictive and prescriptive analytics and data science relevant in the planning space. Understand business; identify areas of improvement opportunities; collect and analyze data; build models in R/Python; and present results & insights using the o9 platform. About o9 team : Who is o9? Smart. Simple. Fun. All words to describe our environment at o9 Solutions. An exciting and high energy environment that drives us to grow and AIM 10x. The perfect place to be innovative, collaborative and dynamic as an organization. We are always looking for great talent to join our o9 team. Company Overview o9 is the premier AI-powered platform for driving digital transformations of integrated planning and operations capabilities. We help enterprises to digitally transform their supply chain with a cloud-based platform that connects the supply chain end-to-end. Whether it is driving demand, aligning demand and supply, or managing P&L, any process can be made faster and smarter with o9s AI-powered digital solutions. Our headquarters is located in Dallas, and we currently have offices in Amsterdam, Barcelona, Bangalore, Tokyo, and Seoul. We expanded our value-adding activities to companies including Google, Nike, Walmart, Starbucks, Bridgestone, Caterpillar, Pirelli, General Electric, etc. Job description : What you'll be doing : - 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 - Apply a variety of machine learning techniques (clustering, regression, ensemble, neural nets, time series, optimizations etc.) to their real-world advantages/drawbacks - Develop and deploy models for advanced models for demand 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 - Analyse 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 experience, education, behavioral traits : - 5 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 optimisation, market mix modelling and trade promo optimization - 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. - Strong presentation and communications skills with ability to communicate complex analytical or technical concepts to audiences with limited analytical or technical background - Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering 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 - 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 What you get : - A unique chance to join a unicorn in hypergrowth - Work on development and application of cutting-edge technology and data science concepts - International working environment and exposure to the biggest brands in the world - A flat organization with a very strong entrepreneurial culture (and no corporate politics) - A great team to support you and that you can support - Possibility to really make a difference in a scale-up environment o9 is an equal opportunity employer and seeks applicants of diverse backgrounds and hires without regard to race, colour, gender, religion, national origin, citizenship, age, sexual orientation or any other characteristic protected by law. (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 5/20/2025