The Role
As a Data Scientist, design and apply analytics and machine learning techniques to improve planning processes and deliver insights using the o9 platform.
Summary Generated by Built In
Job description:
O9 Exposure Mandatory
O9 Exposure Mandatory
Retail - Demand Planning
What you will do:
- Design and operationalize various kinds of descriptive, predictive and prescriptive analytics and data science relevant in the planning space. Understand business; identify areas of improvement opportunities; collect and analyze data; build models in R/Python; and present results & insights using the o9 platform.
- 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 deploy 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 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
What you should possess:
Mandatory:
- 4+ years of experience in the field of Data Science and Analytics
- Strong programming skills and experience in using Python and/or R 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
- 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 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
- Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field
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 Bid Data technologies
- Experience with Deep Learning frameworks such as Keras, Tensorflow or PyTorch is preferable but not essential
- Experience in implementing supply chain planning applications will be a plus
Skills Required
- 2+ years of experience in Data Science and Analytics
- Strong programming skills in Python and/or R
- Deep Knowledge of statistical and machine learning algorithms
- Experience in time series forecasting
- Bachelors Degree in a related field (Computer Science, Mathematics, etc.)
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The Company
What We Do
AlgoLeap specializes in AI-powered software solutions, digital product engineering, and IT consulting services, focusing on digital transformation and AI-driven innovation.
