Data Scientist Analytics _ D298

AlgoLeap Technologies Pvt Ltd.; Bengaluru; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

AlgoLeap Technologies Pvt Ltd. seeks a data science professional to design and operationalize analytics for supply chain planning. You will build Python models, perform time series forecasting, and present insights on the o9 platform.

The role requires 4+ years, strong Python skills, and experience with ML methods like clustering, regression, and neural networks. Collaboration with clients and teams is essential for successful project delivery.

Qualifications

• 4+ years of experience in Data Science and Analytics.
• A bachelor's degree in a relevant field.
• Strong programming skills in Python for Data Science.
• Experience with time series forecasting and scalable ML.
• Experience with SPSS/SAS is not required.

Responsibilities

• Design and operationalize descriptive, predictive and prescriptive analytics for supply chain planning.
• Collect and analyze data, build Python models, and present results on the o9 platform.
• Apply ML techniques (clustering, regression, ensemble, neural nets, time series).
• Develop and deploy models for demand sensing/forecasting, anomaly detection, and market intelligence.
• Leverage AI/ML advancements to solve business problems.
• Synthesize complex information and articulate assumptions and reasons.
• Create business metrics and adapt new ones as needed.
• Collaborate with clients, PM, solution architects, consultants and data engineers for project delivery.

Skills

Python data science

Time series forecasting

Statistical ML algorithms

Data mining

Exploratory Data Analysis

Supply chain analytics

Presentation skills

Education

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

Tools

XGBoost

CatBoost

LightGBM

Neural Networks

o9 Platform

SQL

Hadoop

Spark

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