[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.ResponsibilitiesDesign, develop, and execute analytical solutions using optimization, simulation, machine learning, generative AI, and statistical modelingConstruct predictive models to explain events, forecast behaviors, identify risk, or perform segmentation and clusteringApply domain expertise to ensure models are practical, interpretable, and aligned with business needsEvaluate alternative approaches and select appropriate modeling techniques for each use caseIntegrate and transform large volumes of data from diverse sources (e.g., DB2, SQL Server, Teradata, APIs) to support analytics and experimentationBuild modeling‑ready datasets using validation, reconciliation, feature engineering, and aggregation techniquesWrite complex SQL queries involving multi‑table joins, data exploration, and troubleshooting with minimal guidanceDevelop logical data models combining internal and external datasets; lead conversations with external data providers when neededBuild automated analytics pipelines leveraging scripting, APIs, DevOps practices, and cloud platformsPartner with engineering and IT teams to scale solutions, automate workflows, and integrate models into business processesPlay a lead role in operationalizing AI/ML solutions within production environmentsDevelop and deliver clear, compelling visualizations (static or dynamic) tailored to various audiencesInterpret analytical results and communicate actionable insights that influence senior leaders and key business partnersTranslate complex technical work into business‑friendly recommendationsCoach, mentor, and develop junior data scientists; provide technical guidance and feedbackProvide leadership on data science initiatives, ensuring outputs meet quality standardsWork in a collaborative, innovation-focused environment with product owners, engineers, data architects, and business partnersManage multiple projects simultaneously, prioritizing independently and guiding less experienced team membersStay current on emerging statistical methods, machine learning advancements, and generative AI toolsConduct independent R&D to prototype new approaches and explore innovative solutions for high‑visibility business problemsDemonstrate entrepreneurial, self‑starter mindset with a strong curiosity and continuous‑learning orientationSkillsBachelor's in a quantitative field required6+ years of experience in data science or machine learningStrong Python and SQL skillsExperience with cloud platforms (AWS preferred; Azure/GCP comparable)Databricks + PySpark experience is a strong plusBackground in statistical modeling, ML algorithms, and feature engineeringAbility to build automated analytics workflows and work with APIsStrong Communication Skills With Experience Influencing Senior StakeholdersEntrepreneurial mindset, curiosity, and comfort working in fast‑moving environmentsProven track record leading end‑to‑end data science projects with measurable business impactStrong communication skills, including the ability to influence senior leadersProject management expertise and strong business acumen (financial services experience a plus)Ability to manage multiple concurrent initiatives in a fast‑moving environmentComfortable leading engagements and representing analytics with executive leadershipExpertise across multiple visualization tools and techniquesDeep knowledge of statistical inference, regression, feature selection, feature extraction, and ML algorithmsExperience leading large-scale modeling projects end-to-endStrong SQL skills; ability to design, debug, and optimize complex queriesAbility to navigate and explore large databases independentlyExperience combining internal and external data sourcesMaster's or PhD in a quantitative discipline preferredExperience engineering solutions in cloud environments (AWS preferred; Azure/Google comparable)Familiarity with generative AI approaches is a plusExposure to object‑oriented development and scalable architectureBenefitsAward-winning cultureInclusion and diversity as a priorityPerformance Based Incentive PlansCompetitive benefits package that includes: Health, Vision, Dental, Short & Long-Term DisabilityGenerous PTO (including paid time to volunteer!)Up to 9.5% 401(k) employer contributionMental health supportCareer advancement opportunitiesStudent loan repayment optionsTuition reimbursementFlexible work environmentsHealthcare benefits (health, vision, dental)Insurance benefits (short & long-term disability)Performance-based incentive plansPaid time offA 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or notCompany OverviewSince our founding in 1848, Unum has been a leader in the employee benefits business through innovation, integrity and an unwavering commitment to our customers. It was founded in 1848, and is headquartered in Chattanooga, Tennessee, USA, with a workforce of 10001+ employees. Its website is http://www.unum.com.Company H1B SponsorshipUnum has a track record of offering H1B sponsorships, with 4 in 2026, 27 in 2025, 23 in 2024, 26 in 2023, 19 in 2022, 18 in 2021, 7 in 2020. Please note that this does not guarantee sponsorship for this specific role.