Lead Data Scientist - Demand Forecasting

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-worldproblems 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 external 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: 7+ 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, SQL Skills : Deep Knowledge of statistical and machine learning algorithms, builng scalable ML frameworks, identifying and collecting relevant input data, feature engineering, tuning, and testing. Characteristics : Strong presentation and communications skills What we ll do for you: 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.