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Data Scientist (CML+STAT, Demand Planning)

Actively Reviewing

algoleap

Bangalore Full-Time 4–8 yrs exp Posted 9 hours ago · Apply by Sep 14, 2026

Job Description

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