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Data Scientist (NCS/Job/ 3601)

For AnĀ Indian-Owned Company Focused On Digital & Big Data Tech
5 - 8 Years
Full Time
Up to 30 Days
Up to 35 LPA
1 Position(s)
Bangalore / Bengaluru, Chennai, Gurgoan, Hyderabad, Pune
Posted 16 Days Ago

Job Skills

Job Description

 

Required Qualifications

 

•            7 years of work experience as a Data Scientist

•            Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala)

•            Good hands-on skills in both feature engineering and hyperparameter optimization

•            Experience producing high-quality code, tests, documentation

•            Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML, Synapse, Databricks

•            Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies

•            Proficiency in statistical concepts and ML algorithms

•            Good knowledge of Agile principles and process

•            Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team

•            Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results

Preferred Qualifications

 

•            Experience working in one or multiple supply chain functions (e.g., procurement, planning, manufacturing, quality, logistics) is strongly preferred

•            Experience in applying AI/ML within a CPG or Healthcare business environment is strongly preferred

•            Exposure to Pyomo, Mosel, truck load optimization, multi-echelon inventory optimization (MEIO)

•            Experience in NLP, Vision, and/or AR / VR

•            •            Experience in creating CI/CD pipelines for deployment using Jenkins.

•            •            Experience implementing MLOPs framework along with understanding of data security implementation on ML models

•            Hands on experience developing ML driven models.