The Role
Design and deploy descriptive, predictive, and prescriptive analytics for supply chain planning. Build Python-based machine learning models for demand sensing, forecasting, anomaly detection, simulation, market intelligence, and optimization. Perform data collection, feature engineering, model tuning, validation, and exploratory analysis. Present insights, collaborate with clients and technical teams, and apply AI/ML methods to business problems using the o9 platform.
Summary Generated by Built In
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
Skills Required
- 4+ years of experience in data science and analytics, preferably in the CPG or manufacturing domain
- Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, Engineering, or a related field
- Strong programming skills and experience using Python for data science
- Strong analytical techniques, data mining knowledge, and experience processing large amounts of data
- Deep knowledge of statistical and machine learning algorithms for time series forecasting
- Experience with time series forecasting at scale using methods such as XGBoost, CatBoost, LightGBM, or neural networks
- Experience with custom exploratory data analysis and output validation
- Experience building scalable machine learning frameworks for demand sensing, including data collection, feature engineering, tuning, and testing
- Experience applying analytics to supply chain and planning, including demand planning, supply planning, market intelligence, assortments, pricing, or inventory
- Strong presentation and communication skills
- Experience with the o9 Platform
- Experience with SQL, databases, and ETL tools
- Exposure to distributed data and computing tools such as MapReduce, Hadoop, Hive, or Spark
- Experience implementing supply chain planning applications
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
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.
.png){kind=logo}
