Job Title:  Enabling Areas - Data Scientist - AM/DM

Job requisition ID ::  48048
Date:  Sep 21, 2022
Location:  Delhi
Designation:  Assistant Manager
Entity: 

Role: Data Scientist

Location: Gurgaon/Mumbai

 

Overall experience: 4 years

  • Master’s Degree in Computer Science, Statistics, Applied Math or related field
  • Full data life cycle of ingestion from various sources, storing in raw data store, Data curation & harmonization, Data processing/transformation, Data Storage, Interactive analytics and visualization
  • Should have knowledge on Azure.
  • Business & Data Understanding, Data Preparation, Model Development, Validation and Deployment
  • Understand business use cases functionality and recommend appropriate solution Azure ML platform.
  • Strong conceptual knowledge and working experience on all features of Azure ML Studio, ML Services and ML Ops.
  • Extensive background in data mining and statistical analysis
  • Able to understand various data structures and common methods in data transformation
  • Excellent pattern recognition and predictive modeling skills
  • Analyzing the ML and Deep Learning algorithms that could be used to solve a given problem and ranking them by their success probabilities.
  • Exploring data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
  • Strong programming skills in Python using Databricks or MLFlow
  • Strong experience in ML algorithms
  • Excellent verbal and written communication skills with ability to demonstrate strong consultative and engaging presentation skills, with advanced Microsoft Office skills
  • Ability to provide oversight support to the design, development and quality teams and define areas of improvement to optimize data flows
  • Ability to quickly, regularly, and independently learn new technologies under the pressure of consistent high-profile project deliverables and industry focused solutions
  • Ability to work well in in-person and remote team situations, self-motivated and strong team player. Highly developed personal and professional ethics