Lead Data Scientist (Apparel & Fashion)

At o9 Solutions, our mission is clear: be the Most Valuable Platform (MVP) for enterprises. With our AI-driven platform — the o9 Digital Brain — we integrate global enterprises’ siloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage. But our impact doesn’t stop there. Businesses that plan better and faster also reduce waste, which drives better outcomes for the planet, too. We're on the lookout for the brightest, most committed individuals to join us on our mission. Along the journey, we’ll provide you with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the planet. What our employees say: Its been around two years of working experience in o9 in Data Science team, but by each passing day I really enjoyed working here and each day turned out to be a learning experience for me. Each day comes up with some new challenges and results in new learnings. End of the day, I can say that I am very happy and satisfied with the work I am doing and looking forward for many more exploring opportunities here. -Kadambini Indurkar, Data Scientist What you’ll do for us: 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 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 deploying time series forecasting models in any of the Apparel, Fashion, Footwear or Accessories industries. 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 What we’ll do for you: Competitive salary Flexibility: Work from home two days a week. Get up a bit later, skip the commute and put the time back into your deadlines. Get social: When we work from home, we play from home with fun after-work activities like Social Fridays. If you’re in the office, feel free to join these events in person. Flat organization: With a very strong entrepreneurial culture (and no corporate politics). Support network: Work with a team you can learn from and every day. Diversity: We pride ourselves on our international working environment. Work-Life Balance: https://youtu.be/IHSZeUPATBA? feature=shared Feel part of A team: https://youtu.be/QbjtgaCyhes? feature=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 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 3 rounds of Technical discussion Our recruiter will let you know if you’re the successful candidate. Good luck! More about us… o9 Solutions is one of the fastest growing AI-powered digital transformation companies in the world today. Our high energy environment drives us to grow and aim 10x. It’s this drive that has made us leaders of Gartner’s S&OP Magic Quadrant. The o9 platform, or “digital brain”, is the premier AI-powered, cloud-based platform behind the digital transformations of major global enterprises. These include Google, Walmart, and Starbucks, among others. Our headquarters are located in Dallas, and we currently have offices in Amsterdam, Barcelona, Bangalore, Tokyo, Seoul, Paris and London. o9 is an equal opportunity employer. We welcome applicants of diverse backgrounds and hires without regard to race, colour, gender, religion, national origin, citizenship, age, sexual orientation or any other characteristic protected