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Senior Data Scientist

SpringCube

Full time - Senior Associate/ Asst Manager

Healthcare Services & Tech

United States, Boston - Massachusetts

Published 2 weeks ago

Salary: USD8,000 - USD10,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
This leading healthcare and analytics organization leverages data to transform decision-making across its business units. With a focus on delivering actionable insights, the company empowers teams to connect complex datasets with impactful analytics solutions that drive strategy, performance, and operational efficiency.

Job Title: Senior Data Scientist

Job Description
Responsibilities
• Drive Strategy & Discovery: Partner with business leaders to translate goals into data-driven hypotheses, proactively identifying complex problems solvable with advanced analytics and machine learning.
• End-to-End Model Development: Manage the full machine learning lifecycle, from prototyping and feature engineering to building, validating, and deploying production-ready models, ensuring quality and real-world impact.
• Quantify Business Impact: Develop frameworks to measure analytical initiatives’ success, communicating the value of models in terms of revenue, efficiency, and customer satisfaction.
• Champion Technical Excellence: Promote best practices in coding, modeling, and MLOps, building scalable, reproducible, maintainable solutions and mentoring team members.
• Lead through Influence: Serve as the central point of contact for projects, collaborating with Data Engineers, Product Managers, and stakeholders to ensure successful model integration and adoption.
• Innovate and Explore: Stay current with cutting-edge techniques and explore new data sources, tools, and methodologies to address emerging business challenges.

Qualifications
• Experience: 5+ years transforming large, complex datasets into actionable analytical solutions; healthcare data experience (claims, eligibility, pharmacy) is highly desirable.
• Education: Degree in Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.
• Technical Proficiency: Expertise in Python or R for statistical modeling, machine learning, and data manipulation; proficiency in SQL and large-scale relational databases (Snowflake preferred); advanced knowledge of end-to-end ML lifecycle; Git experience; strong data visualization skills (Tableau).
• Strategic & Collaborative Mindset: Self-directed, creative problem-solver; able to independently manage complex analytical projects; efficiency-driven with scalable, repeatable solutions; skilled at navigating ambiguity; experience leading Agile projects from discovery to delivery; excellent communication with technical and non-technical stakeholders; natural curiosity and drive to innovate; mentoring capability.
• Minimum Education Requirements: High school degree or equivalent required unless otherwise noted above.

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.

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SpringCube is a technology recruitment firm and tech-focused career platform. Since 2001, we’ve connected top talent with leading companies across Singapore and Southeast Asia.

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