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/IHSZeUPATBAfeature=shared
- Feel part of A team: https://youtu.be/QbjtgaCyhesfeature=shared
