Senior Data Scientist- GenAI

6 days ago

Bengaluru, Karnataka, India sugar Full time US$ 1,50,000 - US$ 2,00,000 per year

About

Founded in 2021, provides a personalized, evidence-based path to type 2 and pre-diabetes reversal and management. Leveraging a precision health platform that combines CGM sensors, machine learning, and medical science, we help improve metabolic health through precision nutrition, progressive fitness, and behavioral health coaching. Our research-driven treatment plan blends innovative technology, compassionate diabetes experts, and personalized strategies to empower people to lead a normal, healthy life.

Function:
Data Science and Analysis – Data Science / Machine Learning

Responsibilities

  • Lead and mentor a team of data scientists and analysts, providing technical guidance, career development, and performance feedback.
  • Collaborate with cross-functional teams to align data science initiatives with business objectives.
  • Analyze raw data: assess quality, cleanse, and structure it for downstream processing.
  • Design and deploy accurate, scalable, and high-performance prediction algorithms.
  • Drive end-to-end ownership of machine learning models, from research to production.
  • Collaborate with engineering to transition analytical prototypes into production-ready solutions.
  • Generate actionable insights for business strategy and product improvements.
  • Stay updated on emerging technologies and industry trends, introducing best practices to the team.

Requirements

  • Experience: 4-7 years
    in quantitative analytics, data modeling, or machine learning, including
    2+ years of team leadership/management experience
    .
  • Strong problem-solving skills with a focus on product development.
  • Expertise in statistical programming languages (Python, R, SQL, etc.) to manipulate and analyze large datasets.
  • Strong understanding of a variety of machine learning techniques (clustering, decision trees, neural networks, NLP, etc.) and their practical pros/cons.
  • Proven track record of deploying ML models at scale in production environments.
  • Excellent communication skills for coordinating across teams and presenting to leadership.
  • Proficiency in Big Data frameworks and visualization tools (Hadoop, Spark, Cassandra, Tableau, Power BI, etc.).
  • Familiarity with cloud environments (AWS, GCP, Azure) is a plus.
  • Bachelor's/Master's/Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.

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