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.