Senior Data Scientist - Big Data

Job Description Sugar.fit is looking for a Data Science and Analysis - Data Science / Machine Learning professional to join their team. As a part of Sugar.fit, you will have the opportunity to lead and mentor a team of data scientists and analysts, collaborate with cross-functional teams, design and deploy prediction algorithms, and generate actionable insights for business strategy and product improvements. **Key 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. **Qualifications Required:** - 4-7 years of experience 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. Join Sugar.fit and be a part of a team that is dedicated to providing a personalized, evidence-based path to type 2 and pre-diabetes reversal and management. Sugar.fit is looking for a Data Science and Analysis - Data Science / Machine Learning professional to join their team. As a part of Sugar.fit, you will have the opportunity to lead and mentor a team of data scientists and analysts, collaborate with cross-functional teams, design and deploy prediction algorithms, and generate actionable insights for business strategy and product improvements. **Key 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. **Qualifications Required:** - 4-7 years of experience 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. Join Sugar.fit and be a part of a team that is dedicated to providing a personalized, evidence-based path to type 2 and pre-diabetes reversal and management.