
Senior Data Scientist
1 day ago
Role: Senior Data Scientist
What you’ll do for us:
● 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 to 8 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.
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.
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