Be part of something revolutionary 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. In return, we'll provide a nurturing environment where you can be a part of something special. 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. Hire, train and mentor junior practitioners and support in development of data science modules. 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, timeseries, optimizations etc.) to their real-world advantages/drawbacks Develop and deploy models for advanced models for demand planning/forecasting/sensing 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 What you'll have: Min 6+ years of experience in the field of Data Science and Analytics for Supply Chain 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 applied analytical methods in the field of Supply chain and planning, like demand planning, supply planning, market intelligence, optimal assortments/pricing/inventory etc. Experience in price elasticity models, price optimisation, market mix modelling and trade promo optimization 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: 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 we'll do for you: Competitive salary with stock options to eligible candidates Flat organization: With a very strong entrepreneurial culture (and no corporate politics). Great people and unlimited fun at work. Possibility 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 every day. Diversity: We pride ourselves on our international working environment. Work-Life Balance: https://youtu.be/IHSZeUPATBAfeature=shared Feel part of A team: https://youtu.be/QbjtgaCyhesfeature=shared How the process works: Apply by clicking the button below. You'll be contacted by our recruiter - Reddy Babu, who'll fill you in on all things at o9, give you some background about the role and get to know you. They'll contact you either via video call or phone call - whatever you prefer. During the interview phase, you will meet with technical panels for 60 minutes. The recruiter will contact you after the interview to let you know if we'd like to progress your application. We will have 2 rounds of Technical interview followed by Hiring Manager interview. Our recruiter will let you know if you're a successful candidate. Good luck! More about us With the latest increase in our valuation from $2.7B to $3.7B despite challenging global macroeconomic conditions, o9 Solutions is one of the fastest-growing technology companies in the world today. Our mission is to digitally transform planning and decision-making for the enterprise and the planet. Our culture is high-energy and drives us to aim 10x in everything we do. Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, Walmart, ABInBev, Starbucks and many others. Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Madrid, Sao Paolo, Bengaluru, Tokyo, Seoul, Milan, Stockholm, Sydney, Shanghai, Singapore and Munich. 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