Data Scientist ( Analytics ) _ D298

AlgoLeap Technologies Pvt Ltd.; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

AlgoLeap Technologies Pvt Ltd. in Bengaluru seeks an experienced Data Scientist to design and operationalize analytics for supply chain planning using Python and the o9 platform.

You will develop descriptive, predictive and prescriptive models, apply time series forecasting at scale, and implement ML frameworks with robust data validation.

The role requires strong communication, collaboration with clients and engineers, and delivering actionable insights for demand and supply planning.

Qualifications

• 4+ years of experience in Data Science and Analytics, preferably in CPG or Manufacturing Domain
• Bachelor's 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

Responsibilities

• 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

Data Science

Analytics

Python for Data Science

Time Series Forecasting

Machine Learning

Data Mining

Communication

Presentation

Education

Bachelor's Degree in Computer Science, Mathematics, Statistics, Economics, Engineering

Tools

Python

SQL

ETL tools

Hadoop

Spark

o9 Platform

Job description

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