• Lead end-to-end modeling projects to improve customer engagement and retention, from ideation to production deployment. • Build, test, and optimize machine learning models to forecast user behavior, personalize promotions, and enhance Casino product engagement. • Partner with engineers, analysts, product managers, and marketers to translate insights into scalable solutions embedded within customer-facing systems. • Mentor junior data scientists and share modeling and engineering best practices across the team. • Clearly communicate findings and the impact of your models to stakeholders to influence product and marketing strategy.

• Lead the design and delivery of ML systems and data products that directly impact company-wide growth and operational strategy • Turn ambiguous business questions (from customer acquisition to churn dynamics) into concrete technical roadmaps that deliver clear, actionable results • Lead the end-to-end deployment of ML products, ensuring they are not just accurate but robust, maintainable, and fully integrated into our production infrastructure • Partner across Engineering, Product, and Finance to ensure our technical strategy is solving the right business problems and moving our core metrics • Act as a force multiplier by establishing the standards for model development. You will lead design docs and peer reviews that ensure our work is reproducible and integrates seamlessly with the work of our Data and Analytics Engineering partners • Take accountability for the full model lifecycle, from the initial data design through to the long-term performance and business value of production systems

At Delta Faucet, we are committed to transforming everyday experiences with water through innovative products and exceptional service. As a leader in the plumbing industry, we take pride in our dedication to quality, sustainability, and customer satisfaction. We believe that diverse perspectives strengthen our mission to create solutions that inspire and elevate the lives of all our customers. We welcome individuals from all backgrounds to join us on this journey toward inclusivity and excellence. Your Role at Delta Faucet Are you passionate about using data science, artificial intelligence, and advanced analytics to propel decisions? If you are interested in driving meaningful change for a growth focused consumer products brand, this is an opportunity to join the market-leading Delta Faucet Company team as we use analytics to turbocharge strategic insights! Reporting to the Manager of Data Science and Analytics, this role will work with analytics and domain specialists across the business to deliver high-impact insights and data science solutions. You will develop advanced analytical models, experimentation tests, applied AI techniques, and partner with business stakeholders to translate complex data into clear, actionable recommendations that support the company’s growth initiatives. Responsibilities As an Applied Data Scientist within Delta Faucet Company’s Analytics Center of Excellence (ACoE), you will act as an owner of high impact analysis and data science initiatives that support complex, ambiguous business decisions. This role focuses on advanced analytics, experimentation, and applied AI. - Independently lead end-to-end analytics and data science projects, from problem framing through delivery of actionable insights. - Apply statistical methods, machine learning, and analytical modeling to solve business problems related to growth, customer behavior, market dynamics, and operational efficiency. - Develop and maintain analytical data models and curated datasets, partnering with data engineering and BI teams. - Build AI and machine learning solutions that are aligned with business needs. - Collaborate closely with business stakeholders to translate analytical findings into clear recommendations. - Present data-driven recommendations to leaders across the organization, including tactical and C-suite. Qualifications - 4+ years of experience in data science, advanced analytics, or applied machine learning roles. - 4+ years of hands-on experience applying statistical methods and analytical modeling to real business problems. - 4+ years of experience using Python for data analysis, modeling, and experimentation. - 4+ years of experience writing and refining complex SQL queries against large, structured datasets. - 3+ years of experience partnering directly with business stakeholders to translate analytical findings into actionable recommendations. - 2+ years of experience working in a modern analytics platform (e.g., Databricks, Spark/PySpark, or similar). - 1+ years of hands-on‑ experience applying generative AI technologies (e.g., LLM APIs, task‑specific GenAI workflows) in an enterprise analytics environment. - Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative field. Preferred Qualifications - 2+ years of experience with analytics engineering and data modeling, including building reusable, well-documented analytical datasets; familiarity with medallion architecture (bronze/silver/gold) preferred. - 1+ years of experience with model monitoring, experiment tracking, and model evaluation in production settings. - 1+ years of experience with conjoint analysis or other stated-preference research methods. Why Join Us? At Delta Faucet Company, our people are our greatest assets. We value different perspectives and fostering an inclusive environment. You’ll have the opportunity to shape the future of our brand, working alongside passionate professionals committed to excellence and innovation. Join us to lead progressive growth and make a significant impact within a leading organization. Here are some of the benefits we offer for your personal and professional growth: - Culture: Recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more. - Wellbeing: Comprehensive benefit plans; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing. - Learning & Development: LinkedIn Learning access; internal opportunities to work on projects cross-company. - Social Impact: Four employee-led and self-directed Business Resource Groups; Paid volunteer day annually; Employees share their time, skills and talent with charities and nonprofit organizations across the U.S. and around the globe. Company: Delta Faucet Company Full time Hiring Range: $88,700.00 - $139,260.00 USD Actual compensation may vary based on various factors including experience, education, geographic location, and/or skills. Delta Faucet Company (the “Company”) is an equal opportunity employer and we strive to employ the most qualified individuals for every position. The Company makes employment decisions only based on merit. It is the Company’s policy to prohibit discrimination in any employment opportunity (including but not limited to recruitment, employment, promotion, salary increases, benefits, termination and all other terms and conditions of employment) based on race, color, sex, sexual orientation, gender, gender identity, gender expression, genetic information, pregnancy, religious creed, national origin, ancestry, age, physical/mental disability, medical condition, marital/domestic partner status, military and veteran status, height, weight or any other such characteristic protected by federal, state or local law. The Company is committed to complying with all applicable laws providing equal employment opportunities. This commitment applies to all people involved in the operations of the Company regardless of where the employee is located and prohibits unlawful discrimination by any employee of the Company. Delta Faucet Company is an E-Verify employer. E-Verify is an Internet based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of their newly hired employees in the United States. Please click on the following links for more information. E-Verify Participation Poster: English & Spanish E-verify Right to Work Poster: English, Spanish #LI-Remote

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary CVS Health's Analytics & Behavior Change (A&BC) team is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&BC leverages advanced analytics, clinical informatics, and hypothesis-driven approaches to transform data into actionable, customer-centric insights that drive growth, improve health outcomes, and expand access to healthcare across all CVS Health businesses. Our teams build next-generation data and AI products that help power CVS Health to make healthier happen for 100+ million customers. The A&BC organization is looking to grow its Clinical Data Science & AI team. Join us as we embark on an exciting journey to drive a transformational shift in how CVS Health leverages clinical data and analytics to become the leader in consumer healthcare in the U.S. As a Senior Data Scientist - Clinical Informatics (Claims Specialization), you are tasked with activating CVS Health's clinical data repository to improve outcomes across multiple lines of business and use cases. You will serve as a bridge between clinical data assets and the analysts, data scientists, and business partners who consume them—ensuring data is accessible, well-documented, fit for purpose, and aligned with clinical and regulatory standards. You will: - Serve as a subject matter expert in clinical data, including claims data, with deep understanding of how to structure and apply this data to solve healthcare problems. - Design and maintain clinical data models, taxonomies, and classification frameworks that enable consistent interpretation and use of clinical data across the organization. - Build the claims data feature store, establishing standards, documentation, and best practices that accelerate adoption of clinical data for downstream analytics, reporting, and AI/ML use cases. - Develop analytics by building well-documented, validated, and reusable data assets (tables, views, features) that empower analysts and data scientists to work independently with clinical data. - Create and maintain comprehensive data documentation, including data dictionaries, lineage, business logic, known limitations, and appropriate use guidelines for clinical datasets. - Build queries, dashboards, and data visualizations to effectively communicate data quality metrics, data availability, and clinical insights to technical and non-technical stakeholders. - Establish data quality frameworks for clinical data, including validation rules, anomaly detection, and monitoring processes to ensure data integrity and reliability. - Translate clinical concepts into analytical frameworks, ensuring that business partners understand the capabilities and limitations of available clinical data. - Collaborate with data engineering teams to inform data pipeline development, ensuring clinical data is ingested, transformed, and stored in ways that support downstream analytics needs. - Understand data governance initiatives, including compliance with HIPAA, data privacy regulations, and internal data stewardship policies. - Develop and deliver presentations and consultations to existing and prospective data consumers on clinical data assets, appropriate use, and analytics opportunities. - Stay current with clinical data standards (HL7, FHIR, ICD-10, SNOMED-CT, LOINC, CPT, NDC, RxNorm) and industry best practices in clinical informatics. Required Qualifications - 4+ years of relevant experience in clinical informatics, healthcare analytics, or clinical data management. - Expertise in clinical data types and structures, including claims, lab results, clinical notes, and administrative healthcare data. - Strong knowledge of clinical coding systems and terminologies, such as ICD-10, CPT, HCPCS, SNOMED-CT, LOINC, NDC, and RxNorm. - Experience designing and documenting data models, taxonomies, or classification frameworks for clinical or healthcare data. - Proven ability to enable and support downstream data consumers (analysts, data scientists, business users) through documentation, training, and consultative support. - Proficiency with SQL and experience working with large-scale healthcare datasets. - Experience using cloud-based data platforms, preferably Google Cloud Platform (GCP) tools including BigQuery, for querying, transforming, and managing data. - Strong understanding of data quality principles, including validation, profiling, and monitoring of healthcare data. Preferred Qualifications - Strong experience with medical claims (professional and institutional), pharmacy claims, and eligibility/enrollment data, including understanding of adjudication, adjustments, and claims completeness considerations. - Familiarity with claims-based analytics, including total cost of care, utilization metrics, risk adjustment (HCC), and episode groupers. - Strong understanding of interoperability and large‑scale data harmonization across administrative sources (e.g., medical & pharmacy claims, enrollment/eligibility files, provider files) and across common standards such as X12, NCPDP, FHIR, and OMOP. - Expertise in claims lifecycle and payer workflows, including claim submission, adjudication, pricing, remittance, utilization management, and benefits configuration. - Experience working with standardized administrative code systems (e.g., ICD‑10‑CM, CPT/HCPCS, DRG, NDC). - Hands-on experience with ETL pipelines from payer sources into normalized data standards, preferably OMOP CDM with cost and payer domains. Education - Bachelor’s degree in health informatics, Public Health, Nursing, Health Information Management, Computer Science, Statistics, or a related quantitative or clinical field—or an equivalent combination of formal education and experience. - Master's degree or higher in Health Informatics, Biomedical Informatics, Clinical Informatics, Public Health, Epidemiology, or a related field is strongly preferred. - Clinical background (RN, PharmD, MD, or similar) with transition into informatics/analytics is highly valued. Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $101,970.00 - $203,940.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments. We anticipate the application window for this opening will close on: 06/29/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.