Data Scientist - Demand Planning D430
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Location
In office (Bengaluru)
Experience
4+ years exp
Employment
Full-Time
First seen by Alion on Nov 13, 2026.
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Algoleap is a Hyderabad-based digital product engineering and AI services firm offering software engineering, AI solutions, data, cloud and DevOps, automation and technology advisory to enterprises. Operating as Algoleap Technologies Pvt Ltd from HITEC City in Hyderabad, with a US address in Plainfield, Illinois, it works in heavily regulated industries on client lifecycle management, sustainable finance, data strategy and cloud adoption, and runs Algoleap Digital Studios. Its openings, mostly in Hyderabad and Bengaluru, include .NET, FileNet, Salesforce and backend developers, AI engineers, data scientists and architects, Kubernetes and Azure engineers and database administrators.
Must have - Demand Planning, o9 experience mandatory
total 5 years - 2 years with o9 and Data scientist, time series forecasting at scale (Like XG Boost, CatBoost, Light GBM , Neural Networks etc)
total 5 years - 2 years with o9 and Data scientist, time series forecasting at scale (Like XG Boost, CatBoost, Light GBM , Neural Networks etc)
- 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
- 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
- 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
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