Be part of something revolutionaryWe 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.Please find below the JD for your reference:About the positionWhat you’ll do for us:Own End-to-end discovery, design, configuration, testing and deployment of analytical models and communication with internal and external stakeholdersIdentify relevant internal and external data sources. Recommend and oversee appropriate statistical, ML and predictive modeling conceptsApply a variety of machine learning techniques (clustering, regression, ensemble, neural nets, time series, optimizations etc.) to their real-world advantages/drawbacksDesign and build innovative models for revenue management and commercial planning in the Retail spaceWork on Market Intelligence, optimization (Heuristic, LP, GA, etc.), Anomaly detection, Simulation, and stochastic models, 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 and the ability to generate new ones as neededWork collaboratively with Clients, Project Management, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projectsGuide junior data scientists and oversee their activities to ensure proper alignment/execution of their activities, and maintain high coding standards and best practices within organizationWhat you are/need:Skills, experience, education, behavioral traitsMandatory:4+ years of experience in the field of Data Science and Analytics2+ years of experience in applying analytics to Retail space (Groceries and/or Durable goods)Strong programming skills and experience in using Python and/or R for Data ScienceStrong analytical techniques, data mining knowledge and proficiency in handling and processing large amounts of data is neededDeep Knowledge of statistical and machine learning algorithmsExperience 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 optimization, market mix modelling and trade promo optimization, consumer decision trees applied to the Retail spaceStrong presentation and communications skills with ability to communicate complex analytical or technical concepts to audiences with limited analytical or technical backgroundMaster’s degree in computer science, Applied Mathematics, Statistics, Engineering, Business Analytics, Operations, or related fieldNice 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 preferableWhat 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: part of A team: the process worksApply by clicking the button belowYou’ll be contacted by our recruiter, 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 discussion followed by a Hiring Manager discussion.Our recruiter will let you know if you’re the 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
Job Title
Lead Data Scientist