• Define and lead analytical projects that influence product direction, business strategy, and clinical impact • Develop predictive models and behavioral analyses that help identify which clinicians are using MDCalc, how they engage with clinical tools, and how usage patterns evolve across specialties, care settings, and patient conditions • Analyze large and complex healthcare datasets, including clinician engagement, product usage patterns, and provider behavior, to uncover patterns, opportunities, and actionable insights • Design and implement robust data pipelines, workflows, and dashboards that scale with MDCalc’s growth • Partner with product managers, engineers, and clinical experts to translate data into product requirements and measurable outcomes • Establish experimentation frameworks and lead A/B testing to optimize product performance • Set standards for data integrity, reproducibility, and quality, ensuring confidence in insights across the organization • Act as a thought partner for leadership, communicating findings and recommendations clearly to drive strategic decisions

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 Zinc Health Services has an opportunity for a dynamic individual to join our team as a Sr. Mgr, Value Based Outcomes Analytics. Zinc, as a GPO and affiliate of CVS Health, is tasked with delivering new innovative ways to reduce the cost and maximize the value of pharmaceuticals on behalf of our clients. In this role you will utilize your analytic acumen to assist in the development and measurement of value based contracting strategies that support that cost and value mission. The Sr. Mgr, Value Based Outcomes Analytics role is a high impact role within Zinc Health Services. This position will be the main point of contact for analytic needs for the Zinc value based contracting team and integral to the expansion and evolution of value-based program strategies. The position will interpret contractual language, pull and analyze data, and build reports that summarize data in a clear and concise manner across a breadth of drugs and programs. In this role you will work with multiple internal and external stakeholders (Trade Negotiators, Clinical, Product, IT, drug manufacturers) to assess potential strategies and actual program performance. Your success will be measured by your ability to utilize strategic problem solving, critical thinking, and analytic acumen to evaluate different methodologies for measuring outcomes and presenting complex results in a concise manner. Ideally, this role will be located out of Bloomington, MN or Northbrook, IL. However, a remote/work from home arrangement may be considered for a highly qualified candidate. Our organization offers a competitive benefit package including vacation paid time off, holiday/sick time, health/dental/vision insurance, work/life balance, employee discounted stock purchase program, 401K, tuition reimbursement and employee discounts at all CVS stores. Primary responsibilities will include: - Apply rigorous analytical techniques to evaluate different options and develop recommendations for value-based program methodologies and outcomes to inform key business decisions - Produce organized, clear, and concise reports that summarize data to support contractual obligations - Research and analyze the impact of complex business issues associated with the pharmaceutical market, including market dynamics, product pipelines, and regulatory considerations - Summarize and present complex data in a clear and concise manner. - Explore, examine, and interpret large volumes of data - Independently design and conduct complex analysis (e.g. addressing multiple variables and dependencies) using large and sometimes messy data sets - Serve as the analytics liaison between Zinc value based contracting team and pharmaceutical manufacturers to drive results and enhance value through improved delivery of impactful analytic insights, data visualization, and statistical analyses. - Explores existing data and recommends additional sources of data for improvements - Create project documentation including business objectives, data gathering and processing, detailed set of results and analytical metrics Required Qualifications - 7+ years of total work experience - 5+ years of experience in a role that involves strategic problem solving and/or new product development (e.g., consulting, with a quant focus) - 5+ years of analytical experience designing and executing complex analyses using SQL, Tableau, or Access - Experience extracting and manipulating data using SQL, Python, R, etc) - 5+ years of experience in MS office suite (Excel, PowerPoint, Word, etc.) Preferred Qualifications - Advanced degree (e.g., MBA, Master’s in Data Analytics, Statistics, Computer Science, etc.) Previous work experience within the healthcare industry, particularly a PBM - Experience working with large volumes of medical and pharmacy claims data - Knowledge of various clinical metrics and techniques (ie: Charlson Comorbidity scores, regression modeling, propensity scores) - The ability to communicate effectively and succinctly with a diverse range of stakeholders, both verbally and on paper, and with all levels of an organization Education - Bachelor's degree required (or 5+ years of relevant work experience strategic problem solving and/or new product development (e.g. consulting, with a quant focus) Pay Range The typical pay range for this role is: $82,940.00 - $182,549.00 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. This position also includes an award target in the company’s equity award program. 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 our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: - Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. - No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. - Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit https://jobs.cvshealth.com/us/en/benefits We anticipate the application window for this opening will close on: 04/17/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

At MNTN, we put our people first, full stop. This allows our company culture to be defined by our team members and their shared values, like trust, ambition, quality, radical honesty, and compassionate leadership. It’s why we all really love working for the Hardest Working Software in Television™ (and also why we were named one of Ad Age’s Best Places To Work in 2025.) We pride ourselves on bringing unrivaled performance and simplicity to Connected TV advertising. Our self-serve technology makes running TV ads as easy as search and social, helping brands drive measurable conversions, revenue, site visits, and more. It’s what led MNTN to being named one of Fast Company's Most Innovative Companies in 2023. You can learn more about us and everything we do by visiting https://mountain.com/. We’re committed to innovation that empowers, not replaces. At MNTN, AI is a tool for growth, enhancing efficiency while keeping a people-first approach. Our goal is to streamline workflows and drive new solutions—without compromising the human element that makes our company great. So if wanting to do more, own more, and make a bigger impact comes naturally to you, then you may be the person we're looking for to join us in our next stage of growth. We’re hiring a Senior Data Scientist to lead customer analytics across segmentation, lifecycle, retention, value modeling, and experimentation. This role sits at the intersection of Product, Growth, and Revenue. You will help us deeply understand customer behavior and design rigorous experiments that improve activation, engagement, retention, and expansion. This is not a reporting role; it’s a decision-shaping role grounded in statistical rigor. You’ll collaborate with Product Owners, Data Analysts, and Engineers to develop analytical frameworks and models that directly influence product and GTM strategy. What you’ll do - Develop behavior-based customer segments using product usage and lifecycle signals - Build LTV models (cohort-based and predictive) and identify power users, high-LTV cohorts, at-risk customers, and under-monetized segments - Create segmentation frameworks that become operational across Product and GTM teams - Model activation drivers and time-to-value - Build survival / time-to-event models to understand churn risk while Identifying leading indicators of disengagement - Analyze behavioral paths across onboarding → adoption → product maturity - Partner with Product to design and evaluate A/B and multivariate experiments - Conduct power analysis and sample size estimation and apply causal inference methods when randomized experiments are not feasible - Develop expansion and upsell propensity models - Decompose revenue across lifecycle stages and behavioral segments - Embed experimentation and modeling insights into product roadmaps - Build reusable analytical frameworks, not one-off analyses - Partner with Data Engineering to productionize scoring models where needed What success looks like - Clear behavioral customer segments driving product and GTM decisions - A rigorous experimentation culture with strong statistical discipline - Measurable improvements in activation and retention - Predictive LTV and lifecycle models informing strategy - Data science embedded in real product and revenue decisions What you’ll bring - 5+ years in applied data science, customer analytics, or advanced analytics roles - Strong Python and statistical modeling toolkit - Deep experience with: - Experiment design (A/B, multivariate) - Power analysis and statistical testing - Causal inference fundamentals - Survival analysis / retention modeling - Clustering and segmentation - LTV and propensity modeling - Strong SQL and comfort working directly in the warehouse - Experience analyzing behavioral event data - Ability to translate statistical results into clear product and business decisions - SaaS or Adtech experience strongly preferred MNTN Perks - 100% remote within the US - Flexible vacation policy - Annual vacation allowance for travel related expenses - Three-day weekend every month of the year - Competitive compensation - 100% healthcare coverage - 401k plan - Flexible Spending Account (FSA) for dependent, medical, and dental care - Access to coaching, therapy, and professional development About MNTN Our recruiters will always reach out using an email address ending with @mountain.com OR @mntn.com. If you’re contacted by someone without that address and they mention a Reference Code (which we never use), then that ain’t us folks. Tell those trolls to take a hike–you’re waiting to climb a MNTN. MNTN provides advertising software for brands to reach their audience across Connected TV, web, and mobile. MNTN Performance TV has redefined what it means to advertise on television, transforming Connected TV into a direct-response, performance marketing channel. Our web retargeting has been leveraged by thousands of top brands for over a decade, driving billions of dollars in revenue. Our solutions give advertisers total transparency and complete control over their campaigns all with the fastest go-live in the industry. As a result, thousands of top brands have partnered with MNTN, including Tarte, Decked, and National University. #LI-Remote

• Independently partner with business stakeholders to understand complex operational challenges, build domain context, and frame analytical approaches — without predefined solutions or heavy direction • Perform deep exploratory data analysis across payment operations, chart review workflows, and customer performance metrics to diagnose root causes and identify optimization opportunities • Build and maintain dashboards and reporting infrastructure that give leaders real-time visibility into operational and financial performance • Conduct business reviews including month-to-month bridges, waterfall analyses, and price-volume-mix decompositions to explain performance variance • Use LLMs and AI-assisted tools (e.g., Claude, GPT) for data exploration, pattern identification, and accelerating analytical workflows • Translate ambiguous business questions into structured analytical approaches with clear, actionable recommendations • Work with both models and querying to understand problems — diagnosing first, then standardizing and building scalable solutions • Partner cross-functionally with Product, Data Science, Engineering, and Operations teams to deliver analytics-ready solutions • Build foundational data assets — base data sets, aggregates, and pipelines — required for robust reporting and insight generation