The Role
The role involves designing and operationalizing analytics, applying machine learning techniques, developing models for forecasting and optimization, and collaborating with various stakeholders for project delivery.
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:
- 2+ 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
- Knowledge of statistical and machine learning algorithms
- Experience in time series forecasting using relevant algorithms
- Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field
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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.
