Title: Clinical Data Scientist, Real World Evidence Location: Marlborough United States Job Description: Additional Location(s): US-MA-Marlborough; US-MN-Arden Hills; US-MN-Maple Grove Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we'll give you the opportunity to harness all that's within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we'll help you in advancing your skills and career. Here, you'll be supported in progressing - whatever your ambitions. About the role: The Clinical Data Scientist, Real World Evidence (RWE) will design and deliver advanced analytics solutions that generate robust, transparent, and scalable real-world evidence. This role operates with a high degree of autonomy across complex and ambiguous problems, leading sophisticated analyses, developing and validating novel methodologies, and operationalizing analytics across diverse real-world data sources. As a key contributor within the Global RWE function, this individual will lead analytic strategy for priority initiatives, serve as a subject-matter expert, and mentor team members. The role partners closely with scientific, clinical, regulatory, and data stakeholders to translate data into actionable evidence and advance RWE analytics capabilities across the organization. Work model, sponsorship, relocation: At Boston Scientific, we value collaboration and synergy. This role follows a hybrid work model requiring employees to be in our local office at least three days per week at our Marlborough, MA or Arden Hills Minnesota office. Boston Scientific will not offer sponsorship or take over sponsorship of an employment visa for this position at this time. Relocation assistance is not available for this position at this time. Your responsibilities will include: RWE Analytics & Study execution - Translate clinical and scientific questions into robust analytic plans and reproducible pipelines using EHRs, claims, registries, and other real‑world data. - Lead data integration, causal inference, survival and comparative effectiveness analyses, feasibility assessments, and outcomes research with rigorous validation. - Serve as analytic lead for priority studies, guiding study design and ensuring fit‑for‑purpose, regulatory‑aligned evidence. Advanced Analytics & Data enablement - Develop and deploy advanced analytics, including predictive modeling, AI/ML, phenotyping, and NLP for unstructured data. - Design clear data visualizations and dashboards to communicate insights. - Partner with data engineering teams to enable scalable analytics environments and pipelines; lead pilots to assess new data sources and methods. Data Quality, Governance & Reproducibility - Build reusable, version‑controlled pipelines with strong quality checks, documentation, and lineage. - Implement validation and monitoring of data, analyses, and models over time. - Contribute to data governance and champion reproducible research and code review best practices. Reporting, Communication & Scientific contributions - Support interpretation and communication of results through reports, publications, presentations, and regulatory‑aligned materials. - Present complex analyses clearly to technical and non‑technical stakeholders. - Help resolve data and infrastructure issues supporting study execution. Collaboration, Leadership & Impact - Partner cross‑functionally to align RWE analytics with organizational priorities. - Act as a trusted analytic advisor influencing evidence strategy and prioritization. - Mentor analysts and balance near‑term delivery with long‑term capability building. Required qualifications: - Minimum Bachelor's degree or advanced degree in data science, biostatistics, epidemiology, computer science, or a related field, or equivalent experience. - Minimum of 8 years' with Bachelor's degree experience or 5 years with a Master's degree applying advanced analytics to real-world health care data, including electronic health records, claims, or registries - Proven proficiency in modern data science tools and programming languages (e.g., Python, R, SQL) - Demonstrated expertise in statistical and machine learning methods relevant to real-world evidence - Proven experience communicating analytic findings to cross-functional and senior stakeholders (Clinical, R&D, Health and market access teams) Preferred qualifications: - Proven experience supporting regulatory-aligned evidence generation. - Proven experience working in a global or matrixed environment. Requisition ID: 628074 Minimum Salary: $106800 Maximum Salary: $202900 The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) - see www.bscbenefitsconnect.com-will vary based on actual location of the position and other pertinent factors considered in determining actual compensation for the role. Compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, among other relevant business or organizational needs. At BSC, it is not typical for an individual to be hired near the bottom or top of the anticipated salary range listed above. Compensation for non-exempt (hourly), non-sales roles may also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements). Compensation for exempt, non-sales roles may also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements). For MA positions: It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability. Boston Scientific transforms lives through innovative medical technologies that improve the health of patients around the world. As a global medical technology leader for more than 45 years, we advance science for life by providing a broad range of high-performance solutions that address unmet patient needs and reduce the cost of healthcare. Our portfolio of devices and therapies helps physicians diagnose and treat complex cardiovascular, respiratory, digestive, oncological, neurological and urological diseases and conditions. Learn more at www.bostonscientific.com and follow us on LinkedIn. Boston Scientific Corporation has been and will continue to be an equal opportunity employer. To ensure full implementation of its equal employment policy, the Company will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class. Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company's policies or protocols change with regard to COVID-19 vaccination. Nearest Major Market: Boston Job Segment: Research Scientist, EMR, SQL, Database, Science, Healthcare, Technology, Research

Title: Senior Data Scientist Location: Redmond United States Job Description: Job#: 3031820 Apex is looking for a Data Scientist for a hybrid position 3 days a week in Redmond, WA. This is a chance to work directly with Minecraft Marketplace and Minecraft Realms teams on improving content plans, monetization strategies, recommendation, and discovery. This role is analytics heavy. Key projects: This role will contribute to digital monetization, downloadable content, and expanding user generated content offerings. They will support expanding the Marketplace to better compete in the user‑generated content space, making this an especially interesting role for candidates familiar with platform s like Roblox or Fortnite. Ideal Background for Candidate Strong in business analytics and data science focused on post sale monetization of digital experiences. The ideal resume would contain experience in digital subscription based or streaming services (e.g., Netflix, Spotify) Summary: This is a Minecraft Monetization data scientist role. Apply advanced analytics, experimentation, and predictive modeling to optimize monetization across Minecraft's three revenue pillars: Realms subscriptions, Marketplace content sales, and Creator on Demand. This role will build LTV models, analyze cross-product spend behavior, design and read out A/B tests on pricing and UX changes, and surface insights that drive revenue growth while protecting player experience. The ideal candidate has strong statistical foundations, fluency in Python and SQL on Databricks, and experience modeling user spending behavior in games or subscription products. Job Responsibilities: - Work with senior management, technical and client teams in order to determine data requirements, business data implementation approaches, best practices for advanced data manipulation, storage and analysis strategies - Write and code logical and physical database descriptions and specify identifiers of database to management system or direct others in coding descriptions - Design, implement, automate and maintain large scale enterprise data ETL processes - Modify existing databases and database management systems and/or direct programmers and analysts to make changes - Test programs or databases, correct errors and make necessary modifications Qualifications: - Bachelor's degree in a technical field such as computer science, computer engineering or related field required - 8-10 years applicable experience required - Experience with database technologies - Knowledge of the ETL process - Knowledge of at least one scripting language - Strong written and oral communication skills - Strong troubleshooting and problem solving skills - Demonstrated history of success - Desire to be working with data and helping businesses make better data driven decisions EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide. Employee Type: Contract Location: Redmond, WA, US Job Type: Date Posted: April 23, 2026 Pay Range: $70 - $80 per hour

• Translate business problems into hypotheses and perform exploratory data analysis. • Participate in building and evaluating machine learning models. • Develop scripts and simple pipelines for data processing and analysis. • Collaborate with data engineers, clinical teams, and business areas. • Document learnings and ensure code is well organized. • Contribute to dashboards and reports to communicate results.

Role Description This position is Career Level 30P Home Based with a Role Classification of Fully Remote. The role resides within VWFS’s Data Science & AI CoE team and focuses on end-to-end model development. It requires a proven track record of successful model development and quantifiable business impact. It is not primarily a data analytics or ML engineering role. The Principal Data Scientist will lead high-impact initiatives that directly contribute to VWFS’s stated goal to become a data and AI-driven organization. Potential projects cover the entire spectrum of automotive finance, from automated decision-making to fraud detection and business process improvement. Responsibilities within this Role - Lead data science product development, set standards, best practices, and innovation for the data science CoE (25%) - Experimentation, build, integration of data science solutions into core business processes and new opportunities (75%) - Definition and ongoing improvement of a machine learning environment - Develop and deploy AI models that impact business decisions - Establish best practices and governance routines to ensure adherence to model management policies, peer reviews, and compliance to our policy standards for privacy, ethics, and bias. - Bring relevant data science techniques, algorithms, and tools to your team - Provide technical oversight, help and mentorship to the junior data scientists on the team - Apply suitable techniques for model testing and tuning, to assess accuracy, fit, validity, and robustness - Innovate new ML methods in the data science space and drive change throughout the business - Contributes to code documentation, maintains playbooks, and provides timely progress updates - Help generate compelling hypotheses to drive new business creation Qualifications - Bachelor’s degree in Computer Science, Statistics, Economics, Engineering, Operations Research or similar quantitative field - Master’s degree in Computer Science, Statistics, Economics, Engineering, Operations Research or similar quantitative field Requirements - 12+ years of data & analytics work experience with 8+ years in data science - 7+ years in utilizing methods and tools to extract, curate, explore, and analyze data from large data sources - 7+ years in developing, integrating and deploying machine learning solutions into the business decision making process - 7+ years in leveraging algorithms, tune parameters and back testing validation - 5+ years leading ML project development Skills - Collaborate with product owners and product managers to translate business requirements into impactful AI solutions that scale - Build, integrate and deploy machine learning solutions into the business decision-making process - Thorough knowledge of machine learning models, including both traditional ML and GenAI - Utilize a consultative approach to work with the business to solve challenging problems using various analytical techniques - Embrace, research, explore, and enable new quantitative techniques and technologies in data science that will help define VWFS as an industry leader in the application of data science techniques - Extensive experience with model evaluation and solid grasp of A/B testing and causal analysis - Research new data sources and analytical tools, contribute to new application development, and data quality improvement efforts - Ability to originate curiosity to collaborate with different business units to co-create solutions - Passion for data analysis and problem solving - Establishes and maintains effective performance tracking; identifies improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization. - Superior ability to communicate technical ideas and results to non-technical users in written and verbal form Company Description Volkswagen Financial Services is an Equal Opportunity Employer. We welcome and encourage applicants from all backgrounds, and do not discriminate based on race, sex, age, disability, sexual orientation, national origin, religion, color, gender identity/expression, marital status, veteran status, or any other characteristics protected by applicable laws. This role description is a guideline and does not create contractual rights between the Company and any of its applicants. The Company does not enter into any type of employment contract, implied or written, with its applicants regarding job security. This Organization participates in E-Verify. We maintain a drug free workplace and perform pre-employment substance abuse testing.