Sugar.fit - Senior Data Scientist - GenAI

4 weeks ago


Bengaluru, India Ragus Health care private limited Full time

About Sugar.fit : Founded in 2021, Sugar.fit 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 LearningResponsibilities : - 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 : 5 to 10 years in quantitative analytics, data modeling, or machine learning, including 3+ 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.- Bachelors/Masters/Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field. (ref:hirist.tech)



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