Senior Data Scientist

Role:

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.