Data Scientist ( Analytics ) _ D298

Zohorecruit; Bengaluru; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Algoleap Technologies Pvt Ltd in Bengaluru is seeking a Data Scientist with 4+ years of experience in DS/Analytics, preferably in CPG or manufacturing. You will analyze data, build models in Python, and deliver actionable insights.

You will work on time series forecasting at scale, develop ML frameworks for demand sensing, and present results using clear visuals. Collaboration with cross-functional teams is essential.

Qualifications

• 4+ years of experience in Data Science/Analytics, preferably in CPG or Manufacturing.
• Bachelor's degree in CS, Mathematics, Statistics, Economics, Engineering or related field.
• Strong programming skills and Python for Data Science.
• Experience with time series forecasting at scale (XGBoost, CatBoost, LightGBM, neural nets).
• Experience in exploratory data analyses and in building scalable ML frameworks for demand sensing.
• Experience in supply chain analytics and related business metrics.
• Strong presentation and communication skills.

Responsibilities

• Design and operationalize descriptive, predictive and prescriptive analytics for supply chain planning.
• Build models in Python and present results using the o9 platform.
• Apply ML techniques (clustering, regression, ensemble, neural nets, time series) to business problems.
• Develop and deploy models for demand sensing/forecasting and anomaly detection.
• Collaborate with clients, project managers and engineers to ensure successful delivery.

Skills

Python for Data Science

Time Series Forecasting

Data Mining

Statistical ML Algorithms

Large Data Processing

Presentations & Communication

Demand Sensing / Forecasting

Supply Chain Analytics

Education

Bachelor's degree in CS/Math/Stats/Economics/Engineering

Tools

SQL

ETL Tools

Databases

Hadoop/Spark

o9 Platform

Job description

Algoleap Technologies Pvt Ltd | Full time

• 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