Senior Data Scientist

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

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
• 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 you’ll 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 we’ll 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