Title: Principal Analytics Analyst - Healthcare Data Location: Raleigh, North Carolina, Beaverton, Oregon, Minneapolis, Minnesota, Arlington, Virginia Job Description: Surescripts serves the nation through simpler, trusted health intelligence sharing, in order to increase patient safety, lower costs and ensure quality care. We deliver insights at critical points of care for better decisions — from streamlining prior authorizations to delivering comprehensive medication histories to facilitating messages between providers. Job Summary The Principal Analytics Analyst - Healthcare Data leads high-impact, complex analytics initiatives that advance product strategy, commercial outcomes, and external credibility across the healthcare ecosystem. As a principal individual contributor, this role shapes methodological approach, elevates standards for rigor and reproducibility, and serves as a trusted partner to Product, Engineering, and Commercial leaders. The Principal Analyst frequently operates as a subject matter expert, translating sophisticated analytics into compelling narratives and guiding the team toward scalable, reusable solutions. Responsibilities - Lead the design and delivery of complex analytics initiatives (descriptive through prescriptive), selecting appropriate methodologies and ensuring statistical/analytical integrity. - Frame ambiguous, high-stakes questions into analytic strategies, measurement frameworks, and decision-ready insights that support product development and sales enablement. - Drive development of advanced models and decision frameworks (e.g., forecasting, propensity/risk models, segmentation, scenario analysis), including robust validation and monitoring recommendations. - Set expectations for analytic rigor: reproducibility standards, documentation norms, sensitivity analyses, and transparent communication of limitations and assumptions. - Influence the broader data/analytics ecosystem at Surescripts by defining reusable datasets, semantic layer requirements, KPI definitions, and analysis accelerators in collaboration with engineering and BI partners. - Mentor colleagues and team members; provide technical leadership through review, coaching, and development of best practices and playbooks. - Clearly communicate analytics methods and results to technical, executive, and client audiences, as needed. - Identify opportunities for new analytics capabilities, tools, or processes that increase impact, reliability, and speed-to-insight. Qualifications Basic Requirements - Master’s degree in Data Science, Statistics, Epidemiology, Health Economics, or related field required; - 8+ years of experience in advanced analytics, with substantial healthcare analytics experience. - Evidence of leading complex, cross-functional analytics that drove material product, commercial, or strategic outcomes; preferred experience with medication adherence analytics, prior authorization and utilization management analytics, health economics and outcomes research (HEOR), and/or growth marketing analytics. - Expert-level SQL and strong Python/R; deep knowledge of statistical methods, machine learning (where appropriate), and analytical experimentation/measurement design. - Experience developing advanced analytical models and decision frameworks—including forecasting, risk or propensity modeling, segmentation, and scenario analysis—with demonstrated product or commercial impact and exposure to model validation and ongoing performance monitoring best practices. - Strong data visualization and executive storytelling skill; ability to build “narratives that travel” across stakeholder types. - Comfort working with large-scale healthcare datasets and navigating governance/privacy constraints responsibly. - Demonstrated ability to lead without authority: set direction, align stakeholders, and raise standards across teams. - Strong track record mentoring others and improving team capability through reusable assets and best practices. Preferred Qualifications - PhD preferred but not mandatory Surescripts embraces flexibility through its Flexible Hybrid Work model for most positions. This model allows employees to work virtually while still utilizing our offices as collaboration centers. With alignment and agreement from your leadership, you can come and go from the office as needed. To be considered for employment, applicants must have a valid U.S. work authorization allowing work without restrictions with Surecripts in the U.S. At this time, we are unable to provide support or provide sponsorship for immigration benefits such as work visas. Additionally, we do not participate in academic training programs or work-study programs through an academic institution that require employer endorsement of F-1/CPT or F-1/STEM. Why Wait? Apply Now We’re a midsize company. This means you’re not just another employee ID number. Here, you can build real relationships and feel supported by truly awesome people with diverse backgrounds and talents inan innovative and collaborative work culture. We strive to create an environment where you canbe yourself, share your ideas and work your way.We offer opportunities for employee development, as well as competitive compensation packages and extensive benefits. At Surescripts, base pay is one part of our Total Rewards Package (which may also include bonus, benefits etc.) and is determined within a range. The base pay range for this position is $152,900 - $186,900 per year. Your base pay may vary within or outside of this range depending on a number of factors, including (but not limited to) your qualifications, skills, experience, and location. Benefits include, but are not limited to, comprehensive healthcare (including infertility coverage), generous paid time off including paid childbirth and parental leave and mental health days, pet insurance, and 401(k) with company match and immediate vesting. To learn more, review the Keep You and Yours Healthy, Balancing Work and Life, and Where Talent Takes Shape links under the Better Benefits. Better Work. Better Life section of our careers site. Physical and Mental Requirements While performing duties of this job, an employee may be required to perform any, or all of the following: attend meetings in and out of the office, travel, communicate effectively (both orally and in writing), and be able to effectively use computers and other electronic and standard office equipment with, or without, a reasonable accommodation. Additionally, this job requires certain mental demands, including the ability to use judgement, withstand moderate amounts of stress and maintain attention to detail with, or without, a reasonable accommodation. Surescripts is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate on the basis of race, color, religion, age, national origin, ancestry, disability, medical condition, marital status, pregnancy, genetic information, gender, sexual orientation, parental status, gender identity, gender expression, veteran status, or any other status protected under federal, state, or local law.

Title: Investment Management Data Scientist, Specialist Location: Malvern, PA Job Description: Core Responsibilities 1. Develops complex queries and performs extensive programming to access, transform, and prepare data for statistical modeling. 2. Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Mentors and develops junior data scientists and analysts. 3. Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps. 4. Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach. 5. Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community. 6. Prepares and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders. 7. Participates in special projects and performs other duties as assigned. Qualifications - Minimum of five years related work experience in analytical roles. Experience with data wrangling required - Programming skills to access, transform and prepare large scale data for statistical modeling. Experience utilizing statistical and machine learning methods required. - Undergraduate degree in Analytics, Applied Mathematics, Economics, Statistics or related analytical field of study or equivalent combination of training and experience. Graduate degree preferred. Special Factors Sponsorship Vanguard is offering visa sponsorship for this position. About Vanguard At Vanguard, we don't just have a mission—we're on a mission. To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best. How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Title: Data Scientist Location: San Francisco, CA Work Type: Hybrid Job Description: Job Duties: Be actively involved in all phases of product development, including but not limited to, ideation, exploratory analysis, opportunity sizing, metrics design, offline modeling, experimentation and decision making, post-launch monitoring/measurements etc. Leverage data to understand Reddit, its users, and potential product investments through experiment design and analysis, data deep dives, causal inference, and improving data accessibility for stakeholders (e.g. by creating ETLs, reporting dashboards and data aggregations needed for business tracking). Serve as a thought-partner for product managers, engineering managers and leadership from your respective product domain, communicating and shaping the roadmap and strategy for Reddit by identifying actionable and impactful insights through deep-dive analyses and analytics insights. Partner with our cross-functional partners (Product, Engineering, Designer, Marketing, Business Development etc.) to help us build and improve the systems that continuously drive our user and revenue growth. Drive the success of Reddit's core products by helping define the product strategy through identifying business opportunities and user pain points. statistical analysis, programming languages (R and Python), and querying relational databases (SQL). Part-time telecommuting is an option. Hybrid work from Reddit office in San Francisco, CA. Minimum Requirements: Master's degree (or its foreign degree equivalent) in Computer Science, Engineering (any field) or closely related quantitative discipline, and (2) years of experience in the job offered or in any occupation in related field. Special Skill Requirements: (1) MongoDB; (2) Neo4j; (3) SPSS; (4) SAS; (5) Azure; (6) Pandas; (7) Scikit-learn; (8) Tensorflow; (9) R; (10) Power BI; and (11) data science experience focused on recommendation systems for a consumer-facing app. Any suitable combination of education, training and experience is acceptable. Part-time telecommuting is an option. Hybrid work from Reddit office in San Francisco, CA. Benefits: - Comprehensive Healthcare Benefits and Income Replacement Programs - 401k with Employer Match - Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support - Family Planning Support - Gender-Affirming Care - Mental Health & Coaching Benefits - Flexible Vacation & Paid Volunteer Time Off - Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please The base pay range for this position is: $197,000.00 - $229,900.00 USD

Ibotta is seeking a Staff Data Scientist, Core Data & Analytics to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. Our growing Core Data & Analytics Data Science Team provides high-quality, on-time data science-related products and services across all business areas and teams within Ibotta. We do this by providing thought leadership, subject matter expertise, evangelism and governance of business-critical data science initiatives. This role will be primarily focused on building data assets and analytics solutions for the revenue organization. As a Staff Data Scientist, you’ll have the unique, challenging, and rewarding opportunity to be responsible for using the latest developments in statistics and machine learning. Using these skills, you will identify and build strategic opportunities to grow the business, support initiatives, and drive value. In addition, you will be expected to build accurate and reliable Machine Learning models for use throughout the organization. You’ll be able to create and own greenfield opportunities to make big positive impacts on the revenue organization. You’ll have the chance to own the data science technology of one or more critical initiatives core business domains, from collaborating with stakeholders, through the full model development lifecycle. This position is available in multiple locations: Denver, Colorado - if you are in or willing to relocate to the Denver area, this is a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA, MI, MN, MO, MT, NV, NJ, NY, NC, OH, OK, PA, TN, TX, UT, VA, WA, WI. If you’re not in the Denver metro area or the listed states, relocation reimbursement to Denver is available. What you will be doing: - Provide subject matter expertise and ownership of one or more foundational models involving measurement, forecasting, or optimization of our content - Establish and lead best practices, setting the example for the team - Initiate and drive collaboration with stakeholders, architects, and data engineers to discover, define, cleanse, and refine the data needed for analysis and modeling - Analyze large and novel datasets to extract actionable insights to inform model development and understand consumer behavior - Provide customized views of large and complex datasets to support data analysis and business decision-making - Inform experimental design to formulate solutions addressing major business challenges and innovation opportunities - Build models using a variety of statistical and machine learning techniques, from selecting the best type of model for the problem to using advanced techniques to measure and optimize model performance - Harden data pipelines and models for production deployment and monitoring of performance over time as required - Become an expert of the Ibotta Data Ecosystem and how various teams leverage Ibotta’s suite of data to answer domain specific business questions through advanced analytic techniques - Provide mentoring and education to this team and other teams across the company - Embrace and uphold Ibotta’s Core Values of Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere What we are looking for: - 7+ years of experience making significant positive impacts in a professional data science or machine learning role - Bachelor’s degree in Computer Science, Engineering, Analytics or a related field required - A history of and passion for driving important decisions using data and data storytelling - A love of learning and continuous development, including staying at the forefront of the latest advances in data science and machine learning. Broad-scale community contributions to the fields of data science and machine learning in the way of conference presentations, professional publications, and/or recognized internet presence are a strong plus - Expert-level knowledge, skills, and abilities in creating, developing, and applying a variety of new or existing machine learning and statistical algorithms - Expert-level Python knowledge, skills, and abilities. Spark/PySpark and MLOps experience is a strong plus - Excellent statistical analysis skills, with a solid understanding of experimental design About Ibotta ("I bought a...") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com. Additional Details: - This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks, and occasional meals. - Base compensation range: $152,000 - $203,000. Total compensation for this role also includes a variable component in addition to base salary. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. - Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status. - Applicants must be currently authorized to work in the United States on a full-time basis. - Applicants are accepted until the position is filled. - For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. #LI-Remote #BI-Remote #BI-Hybrid