[Remote] Sr Engineer, Data Science & Machine Learning Operations - remote opportunity

Note: The job is a remote job and is open to candidates in USA. Tivity Health, Inc. is a leading provider of healthy life-changing solutions, including SilverSneakers® and WholeHealth Living®. They are seeking a Senior Data Science & ML Ops Engineer to partner with business leaders and technology teams to design, test, and deploy actionable machine learning solutions that drive measurable business outcomes.ResponsibilitiesPartner directly with business stakeholders to identify opportunities where data and machine learning can improve decisions, efficiency, or outcomesDesign experiments and hypotheses that can be validated quickly using available data and pragmatic modeling approachesSelect and apply out-of-the-box machine learning algorithms (e.g., classification, regression, forecasting, clustering, optimization)Own models end-to-end—from data preparation and feature engineering through deployment, monitoring, and iteration based on real-world resultsDeploy ML models into production using AWS-native tooling and integrate them into operational workflows and downstream systemsImplement ML training and inference pipelines on Amazon SageMaker, including pipelines, endpoints, model registry, and monitoringEnsure production readiness through versioning, validation, rollback strategies, and performance monitoringMonitor model performance (accuracy, drift, stability, business KPIs) and iterate based on real-world impactParticipate directly in diagnosis and resolution of production issues affecting data pipelines or ML workloadsBuild and operate data ingestion and transformation pipelines across batch and event-driven workloads using AWS Glue, zero‑ETL integrations, Step Functions, EventBridge, and related servicesCollaborate closely with IT, Security, and Platform Engineering teams to align with enterprise security, compliance, and operational standardsUse infrastructure as code (Terraform, CDK, or CloudFormation) to create repeatable, scalable environmentsOwn and operate S3-based data lake infrastructure, including Iceberg table formats, AWS Glue Data Catalog, and AWS Lake FormationImplement and enforce data zone architecture (e.g., raw, curated, and consumption zones) to support governed data access and lifecycle managementDefine and apply data access controls using Lake Formation permissions and IAM-aligned policiesEstablish and maintain data governance practices, including schema management, schema evolution, and lineage trackingEnsure data assets are discoverable, auditable, and secure through cataloging, metadata management, and access controlsBuild end-to-end observability using CloudWatch, Datadog, pipeline SLAs, data quality checks, and model drift detectionEstablish operational runbooks and support procedures for governed data and ML platformsApply cost-aware design when selecting data processing, training, and inference approachesOptimize Glue, SageMaker, and storage usage to deliver value efficiently at scaleContinuously improve platform reliability, scalability, and cost efficiency as data and ML workloads growSkills5+ years in a professional data science role and 5 years of experience with machine learning pipelines, preferably in an AWS environmentApplied problem solver motivated by business outcomes and actionStrong business partner able to translate questions into testable hypotheses and executable solutionsHands-on applied ML experience delivering models into production AWS environmentsProven experience operating governed data lakes and ML platforms at scaleBuilder–operator mindset with strong CI/CD, observability, and incident response skillsPragmatic practitioner who values reliability, adoption, governance, and impact over unnecessary complexityBenefitsCompany bonus potentialMedicalDentalVision401k with matchGenerous paid time offFree gym membership to over 13,000 fitness locations in the USCompany OverviewTivity Health is provider of fitness and health improvement programs, with strong capabilities in developing and managing network solutions. It was founded in 1981, and is headquartered in Franklin, Tennessee, USA, with a workforce of 501-1000 employees. Its website is http://www.tivityhealth.com.Company H1B SponsorshipTivity Health has a track record of offering H1B sponsorships, with 1 in 2026, 3 in 2025, 9 in 2024, 4 in 2023, 9 in 2022, 6 in 2021, 9 in 2020. Please note that this does not guarantee sponsorship for this specific role.