About the role
Mandatory:
- 4+ years of experience in the field of Data Science and Analytics preferably in CPG or Manufacturing Domain
- Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field
- Strong programming skills and experience in using Python for Data Science
- Strong analytical techniques, data mining knowledge and proficiency in handling and processing large amounts of data is needed
- Deep Knowledge of statistical and machine learning algorithms for Time Series Forecasting
- Experience in time series forecasting at scale (Like XG Boost, CatBoost, Light GBM , Neural Networks etc)
- Experience in custom EDA (Exploratory Data Analysis) and Output Validations
- Experience in building scalable ML frameworks for demand sensing including Identifying and collecting relevant input data, feature engineering, tuning, and testing.
- 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.
- Strong presentation and communications skills
Nice to have:
- o9 Platform Experience
- Experience with SQL, databases and ETL tools or similar is optional but preferred
- Exposure to distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark or related Bid Data technologies
- Experience in implementing supply chain planning applications will be a plus
What you will do:
- Design and operationalize various kinds of descriptive, predictive and prescriptive analytics and data science relevant in the supply chain planning space.
- Understand business; identify areas of improvement opportunities; collect and analyze data; build models in Python; and present results & insights using the o9 platform.
- Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series etc.) to their real-world advantages/drawbacks
- Develop and deploy models for demand sensing/forecasting, 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 and the ability to generate new ones as needed
- Work collaboratively with Clients, Project Management, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projects