Senior Data Scientist - Demand Forecasting

• 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
• Examine 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: 4+ Years 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 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: 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

Competitive salary
Tech tools: Complementary PC laptop 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