Data Scientist Analytics _ D297

AlgoLeap Technologies Pvt Ltd.; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

AlgoLeap Technologies Pvt Ltd. is seeking a seasoned Data Scientist to design and deploy predictive analytics for supply chain planning in Bengaluru.

You will build models in Python and present insights using the o9 platform, focusing on demand sensing, forecasting, and market intelligence. Ideal candidates have 4+ years in DS/Analytics with strong EDA, ML, and data engineering experience, plus excellent communication to stakeholders.

Qualifications

• 4+ years of experience in Data Science and Analytics (preferably in CPG or Manufacturing).
• Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field.
• Strong programming skills and Python for Data Science.
• Strong analytical techniques, data mining, and handling large data sets.
• Deep knowledge of statistical and ML algorithms for Time Series Forecasting.
• Experience in time series forecasting at scale (XGBoost, CatBoost, LightGBM, Neural Networks).
• Experience in custom EDA and output validations.
• Experience in building scalable ML frameworks for demand sensing (data collection, feature engineering, tuning, testing).
• Experience in analytical methods in Supply Chain and planning (demand/supply planning, pricing, inventory).
• Strong presentation and communication skills.

Responsibilities

• Design and operationalize descriptive, predictive, and prescriptive analytics for supply chain planning.
• Understand business needs, collect/analyze data, build models in Python, present results on the o9 platform.
• Apply ML techniques (clustering, regression, ensemble, neural nets, time series) and evaluate pros/cons.
• Develop and deploy models for demand sensing/forecasting, anomaly detection, simulations, stochastic models, market intelligence.
• Utilize AI/ML advancements to solve business problems.
• Synthesize information, evaluate methods, and articulate assumptions/reasons.
• Apply business metrics and create new ones as needed.
• Collaborate with Clients, PM, Solution Architects, Consultants, and Data Engineers for successful delivery on o9 projects.

Skills

Python programming

Time series forecasting

Data analysis

Statistical methods

Communication skills

Education

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

Tools

SQL

ETL tools

Hadoop

Spark

Hive

Job description

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
  

Requirements: