[Remote] Senior Data Scientist - GenAI/Python/AWS/SQL

Note: The job is a remote job and is open to candidates in USA. Unum is a Fortune 500 company and leading provider of employee benefits to companies worldwide. They are seeking a Senior Data Scientist to join their innovation hub, responsible for developing end-to-end machine learning and generative AI solutions while collaborating with senior leaders across the enterprise.

Responsibilities

• Design, develop, and execute analytical solutions using optimization, simulation, machine learning, generative AI, and statistical modeling
• Construct predictive models to explain events, forecast behaviors, identify risk, or perform segmentation and clustering
• Apply domain expertise to ensure models are practical, interpretable, and aligned with business needs
• Evaluate alternative approaches and select appropriate modeling techniques for each use case
• Integrate and transform large volumes of data from diverse sources (e.g., DB2, SQL Server, Teradata, APIs) to support analytics and experimentation
• Build modeling‑ready datasets using validation, reconciliation, feature engineering, and aggregation techniques
• Write complex SQL queries involving multi‑table joins, data exploration, and troubleshooting with minimal guidance
• Develop logical data models combining internal and external datasets; lead conversations with external data providers when needed
• Build automated analytics pipelines leveraging scripting, APIs, DevOps practices, and cloud platforms
• Partner with engineering and IT teams to scale solutions, automate workflows, and integrate models into business processes
• Play a lead role in operationalizing AI/ML solutions within production environments
• Develop and deliver clear, compelling visualizations (static or dynamic) tailored to various audiences
• Interpret analytical results and communicate actionable insights that influence senior leaders and key business partners
• Translate complex technical work into business‑friendly recommendations
• Coach, mentor, and develop junior data scientists; provide technical guidance and feedback
• Provide leadership on data science initiatives, ensuring outputs meet quality standards
• Work in a collaborative, innovation-focused environment with product owners, engineers, data architects, and business partners
• Manage multiple projects simultaneously, prioritizing independently and guiding less experienced team members
• Stay current on emerging statistical methods, machine learning advancements, and generative AI tools
• Conduct independent R&D to prototype new approaches and explore innovative solutions for high‑visibility business problems
• Demonstrate entrepreneurial, self‑starter mindset with a strong curiosity and continuous‑learning orientation

Skills

• Bachelor's in a quantitative field required
• 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
• Proven track record leading end‑to‑end data science projects with measurable business impact
• Strong communication skills, including the ability to influence senior leaders
• Project management expertise and strong business acumen (financial services experience a plus)
• Ability to manage multiple concurrent initiatives in a fast‑moving environment
• Comfortable leading engagements and representing analytics with executive leadership
• Expertise across multiple visualization tools and techniques
• Deep knowledge of statistical inference, regression, feature selection, feature extraction, and ML algorithms
• Experience leading large-scale modeling projects end-to-end
• Strong SQL skills; ability to design, debug, and optimize complex queries
• Ability to navigate and explore large databases independently
• Experience combining internal and external data sources
• Master's or PhD in a quantitative discipline preferred
• Experience engineering solutions in cloud environments (AWS preferred; Azure/Google comparable)
• Familiarity with generative AI approaches is a plus
• Exposure to object‑oriented development and scalable architecture

Benefits

• 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
• Healthcare benefits (health, vision, dental)
• Insurance benefits (short & long-term disability)
• Performance-based incentive plans
• Paid time off
• A 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not

Company Overview

Company H1B Sponsorship