Clover Health - Senior Data Scientist

• Lead large-scale projects from ideation through enterprise impact. • Evaluate trade-offs between out-of-the-box and customized solutions, optimizing for speed and effectiveness. • Implement scalable, bug-free, and well-tested solutions that reduce complexity rather than add to it. • Understand business challenges and deliver results that meaningfully solve key problems. • Proactively engage with stakeholders across all levels to align data science efforts with business needs. • Identify and mitigate risks early, preventing roadblocks that could arise later. • Serve as a trusted advisor and thought partner, ensuring projects are delivered on time and aligned with business objectives. • Mentor and collaborate with peers, improving team-wide problem-solving capabilities and technical execution. • By your ability to forecast project impact. • By leading data driven product performance assessment. • Proactive identification and implementation of strategic improvements with data driven strategies. • By leading toward improved team outcomes. • You should get in touch if: • You have an advanced degree in a quantitative field (Master’s + 3-4 years of experience or Ph.D. + 2+ years of experience). • You have a strong foundation in probability, statistics, and machine learning tools, including SQL, Python, and relevant ML/statistical packages. • You have successfully used data science to drive enterprise value in a business function. • You are comfortable leading projects and have experience taking large-scale initiatives from concept to measurable business impact. • You improve the work of those around you through mentorship, code review, and leadership by example. • You can clearly communicate how your work contributes to business goals, ensuring alignment with top-level company objectives.