Unum · Chattanooga, TNPrepare for this interview
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When you join the team at Unum, you become part of an organization committed to helping you thrive. Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life's moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide: Award-winning culture Inclusion and diversity as a priority Performance Based Incentive Plans Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability Generous PTO (including paid time to volunteer!) Up to 9.5% 401(k) employer contribution Mental health support Career advancement opportunities Student loan repayment options Tuition reimbursement Flexible work environments *All the benefits listed above are subject to the terms of their individual Plans . And that's just the beginning... With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you're directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today! General Summary: Are you passionate about using AI and advanced analytics to solve complex, high‑visibility business problems? Do you thrive in an innovation‑driven environment where you can prototype, experiment, and shape the future of AI at scale? If so, this is the role for you. We are seeking a Senior Data Scientist to join our innovation hub-a small, agile team tackling the company's most strategic challenges. You'll build POCs, develop end‑to‑end machine learning and generative AI solutions, and work directly with senior leaders across the enterprise. What You Bring Bachelor's in a quantitative field required (Master's/PhD preferred) 6+ years of experience in data science or machine learning Strong Python and SQL skills Experience with cloud platforms (AWS preferred; Azure/GCP comparable) Databricks + PySpark experience is a strong plus Background in statistical modeling, ML algorithms, and feature engineering Ability to build automated analytics workflows and work with APIs Strong communication skills with experience influencing senior stakeholders Entrepreneurial mindset, curiosity, and comfort working in fast‑moving environments Job Specifications / Qualifications Education Bachelor's degree in a quantitative field required. Master's or PhD in a quantitative discipline preferred.
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