Job Title: Lead / Senior Data Scientist -Retail Demand Forecasting

What youll 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
Analyze 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 youll have:

Experience: 3+ Years of 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.
Should be from a statistical background.
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: Independent thinkers 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.

Nice to have:

Experience with SQL, databases and ETL tools or similar is optional but preferred
Exposure to distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, or related Big Data technologies
Experience with Deep Learning frameworks such as Keras, Tensorflow or PyTorch is preferable
Experience in implementing planning applications will be a plus
Understanding of Supply Chain Concepts will be preferable
Masters Degree in Computer Science, Applied Mathematics, Statistics, Engineering, Business Analytics, Operations, or related field

What well do for you

Competitive salary with stock options to eligible candidates
Flat organization: With a very strong entrepreneurial culture (and no corporate politics)
Great people and unlimited fun at work
Possibility to make a difference in a scale-up environment.
Opportunity to travel onsite in specific phases depending on project requirements.
Support network: Work with a team you can learn from everyday.
Diversity: We pride ourselves on our international working environment.
Work-Life Balance: https://youtu.be/IHSZeUPATBA?feature=shared
Feel part of A team: https://youtu.be/QbjtgaCyhes?feature=shared

Senior Data Scientist