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Data Scientist

11 Hours ago • 3 Years + • Data Analyst

Job Summary

Job Description

DescriptionVI seeks a Data Scientist to leverage and develop innovative machine learning, NLP, and AI technologies. Responsibilities include owning data science deliverables across various products, conducting exploratory research, building and deploying ML models, creating technical specifications, leading data mining procedures, ensuring data quality, collaborating with sales and product teams, and working with data/software engineers for scalable deployment. The role involves key determinations regarding product development and working closely with B2B clients and project managers.
Must have:
  • MSc in CS or related field
  • 3+ years experience in production-level ML solutions
  • Time series modeling, supervised/unsupervised learning
  • Causal Inference, ML theory understanding
  • Python, relational/NoSQL databases, Git
  • Data management & visualization
  • Strong communication skills
Good to have:
  • Experience with Multi-Arm Bandits
  • Experience with LLMs

Job Details

Description

VI is the market leading Enterprise-AI platform for health, serving the world’s largest health organizations — from Fortune 500 health providers to pharma and consumer brands — helping them maximize acquisition, enrollment, engagement, retention, and health outcomes. Vi offers 3 main product lines: Acquire, Engage and Transform.

Backed by $125M+ in R&D, our powerful platform serves over 175 million members daily — and growing. We are based in New York, Austin, Nashville & Tel Aviv.

We are seeking a Data Scientist to join our Data team and help us leverage and develop innovative machine learning, NLP, and AI technologies for solving problems within a wide scope.

As the Data Scientist, you will be making key determinations regarding our various products and their development. You will play a key role in building our solution, driving quality, and addressing scale. You will also work closely with our B2B clients, product and project managers.

Responsibilities

  • Own the Data Science deliverables across our various products
  • Conduct exploratory research on structured and unstructured data
  • Be involved in team architectural discussions
  • Research, build and deploy ML models in different domains
  • Create technical specifications and project documentation
  • Lead data mining and collection procedures
  • Ensure data quality and integrity
  • Collaborate with sales and product teams and derive explainable business insights
  • Collaborate with data and software engineers to enable deployment that will scale across the company’s ecosystem

Requirements

  • MSc degree in Computer Science or a related technical field or equivalent practical experience
  • Strong business understanding and high execution mentality
  • 3+ years of proven experience in delivering production level ML solutions
  • Experience with time series modeling, supervised and unsupervised learning
  • Experience with Causal Inference 
  • Deep understanding of ML theory and the math behind the models
  • Building interpretable and explainable solutions (not just accurate)
  • Proficiency in Python, relational and NoSQL databases, Git
  • Knowledge of data management and visualization techniques
  • Technologically diverse background and ability/willingness to learn new things quickly
  • Strong engineering and communication skills
  • Advantage: experience with Multi-Arm Bandits
  • Advantage: experience with LLMs

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About The Company

Vodafone Idea Limited is an Aditya Birla Group and Vodafone Group partnership. It is India’s leading telecom service provider. The Company provides pan India Voice and Data services across 2G, 3G and 4G platform. With the large spectrum portfolio to support the growing demand for data and voice, the company is committed to deliver delightful customer experiences and contribute towards creating a truly ‘Digital India’ by enabling millions of citizens to connect and build a better tomorrow. The Company is developing infrastructure to introduce newer and smarter technologies, making both retail and enterprise customers future ready with innovative offerings, conveniently accessible through an ecosystem of digital channels as well as extensive on-ground presence. The Company is listed on National Stock Exchange (NSE) and Bombay Stock Exchange (BSE) in India.

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