• Designs and develops of scalable solutions using AI tools and machine-learning models • Performs research and testing to develop machine learning algorithms and predictive models • Utilizes big data computation and storage tools to create prototypes and datasets • Conducts model training and evaluation • Integrates, tests, tunes, and monitors solutions • Critically evaluate valuation processes to identify gaps or invalid assumptions • Independently design and implement mathematically rigorous methodologies for measuring program efficacy • Extract and manipulate large-scale healthcare data (claims, clinical, SDoH) to build independent, scalable valuation and predictive models • Act as a strategic communicator, translating complex methodologies and financial impacts into compelling narratives for non-technical executive stakeholders • Develop operational frameworks to translate clinical interventions into defensible financial forecasts and enterprise-wide statements • Navigate extreme ambiguity to scope undefined business problems and transform raw data into production-ready valuation frameworks without an existing playbook • Analyzes use cases of ML algorithms and apply findings to enable business decisions by deriving insights through data visualization • Writing complex SQL and Python/R code to extract data from a variety of databases and data sources • Conduct exploratory data analysis from complex data sources and build key data sets to support company mission operational analysis • Builds complex ML/AI models using common methods within R and Python • Analyzes the ML algorithms that could be used to solve a given problem and rank them by their success probability • Develop logging, alerting, and mitigation strategies for handling model errors • Evaluate and design experiments to monitor key model metrics and identify improvement opportunities • Produces fairness review for each developed model, to ensure model is free of bias • Set up continuous integration/continuous deployment (CI/CD) pipelines used for model automation • Model deployment with containers such as Kubernetes and/or Docker • Produce clean code that has been properly unit tested and optimized for performance • Completes proper deployment integration testing to ensure seamless deployment • Performs other duties as assigned

The Company Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is managed. To unlock information and insights that drive better health outcomes. Here we are 25 years later, having pioneered an industry. And we're just getting started. We are broadening our vision beyond diabetes to empower people to take control of health. That means personalized, actionable insights aimed at solving important health challenges. To continue what we've started: Improving human health. We are driven by thousands of ambitious, passionate people worldwide who are willing to fight like warriors to earn the trust of our customers by listening, serving with integrity, thinking big, and being dependable. We've already changed millions of lives and we're ready to change millions more. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions. We'll get there by constantly reinventing unique biosensing-technology experiences. Though we've come a long way from our small company days, our dreams are bigger than ever. The opportunity to improve health on a global scale stands before us. Meet the team: The Regulatory Scientist will work within Regulatory Affairs, Government Affairs and Global Advocacy and collaborate with cross-functional teams to support efforts for Dexcom’s digital health, software-enabled products, Ad/Promo activities, and advocacy and policy analysis efforts. This role will focus on: - leveraging data analytics to inform regulatory strategy and support global advertising and promotional efforts. - leveraging clinical study data, product performance data, and data from published studies to help inform regulatory decisions and identify trends in the field. - actively monitoring and reporting on the competitive landscape, including regulatory milestones and new data sets, and identify areas of opportunity or risk. - identifying and communicating emerging trends and priorities among regulators and identifying areas of opportunity or risk. - leading discussions about new technologies, helping situate them in the context of regulatory submissions. - developing engaging narratives around technical information, anticipating and clarifying common points of confusion. - adapting content based on audience feedback and communicating effectively to wide varieties of audiences. - establishing and nurturing cross-functional relationships to strengthen evidence generation strategy to support regulatory submissions. - generating strong arguments and anticipating counter-arguments supported by data with logical, effective organization, and refined language and style. Where you come in: - You develop dashboards and visualizations to communicate metrics and trends across geographies and products. - You work closely with medical affairs, legal, and commercial teams to understand workflows and timelines. - You contribute to the development and revision of procedures related to data analysis and regulatory documentation. - You monitor evolving policy and advocacy landscape to identify areas of opportunity and growth - You lead discussions about new technologies, emerging trends, and analyze data sets to inform business decisions. - You perform other duties as assigned. What makes you successful: - You have experience with medical device development and regulatory processes, especially for software as a medical device (SaMD). - You have strong analytical skills and proficiency in tools such as visualization platforms like Tableau or Power BI. - You are familiar with regulatory data sources and standards (e.g., ISO 14971, IEC 62304, FDA guidance on RWE). - You have excellent communication skills and can translate complex data into actionable regulatory insights. - You are passionate about digital health, AI/ML technologies, evolving digital health policy landscape and agile software development. Experience and Education Requirements: - Typically requires a Bachelor’s degree and a minimum of 2-5 years of related experience. Flex Workplace: Your primary location will be a home office. You will not have an assigned workstation and will work with your manager to determine office visit needs. You must live within commuting distance of your assigned Dexcom site (typically 75 miles/120km). Please note: The information contained herein is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. The duties and responsibilities in this job description may be subject to change at any time due to reasonable accommodation or other reasons. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Dexcom’s AAP may be viewed upon request by contacting Talent Acquisition at talentacquisition@dexcom.com. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Dexcom Talent Acquisition at talentacquisition@dexcom.com. Meritain, an Aetna Company, creates and publishes the Machine-Readable Files on behalf of Dexcom. To link to the Machine-Readable Files, please click on the URL provided: https://health1.meritain.com/app/public/#/one/insurerCode=MERITAIN_I&brandCode=MERITAINOVER/machine-readable-transparency-in-coverage?reportingEntityType=TPA_19874&lock=true To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Dexcom. Only authorized staffing and recruiting agencies may use this site or to submit profiles, applications or resumes on specific requisitions. Dexcom does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to the Talent Acquisition team, Dexcom employees or any other company location. Dexcom is not responsible for any fees related to unsolicited resumes/applications. Salary: $71,600.00 - $119,300.00

Overview Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? Then, come join us! The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges. We work closely with our customers’ engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform. We are hiring a Senior Data Scientist to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services. Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions. As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology. You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities - You will acquire the data necessary for your project plan and develop usable data sets for modeling. You’ll also update internal best practices for data collection and preparation, and contribute to data integrity conversations with customers. - You will evaluate your team’s models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. You’ll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods. - You will research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices. You’ll also write extensible code that spans multiple features, and develop expertise in proper debugging techniques. - You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You’ll also apply a customer-oriented focus to understand their needs, and help drive realistic customer expectations. - You will embody our culture and values. Qualifications Required/minimum qualifications - Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Additional or preferred qualifications - Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. #ISEngineering #WSS Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

• Lead the design and development of advanced statistical and machine learning models that improve claims outcomes, operational efficiency, and risk management. • Serve as the technical authority for complex modeling initiatives including fraud detection, claims severity prediction, litigation risk modeling, and recovery optimization. • Develop predictive and prescriptive models using structured and unstructured claims data, including adjuster notes, medical records, and policy documentation. • Architect modeling approaches that leverage modern techniques such as gradient boosting, deep learning, NLP, anomaly detection, and probabilistic modeling. • Partner with AI Engineering teams to productionize models and integrate them into enterprise AI platforms and operational systems. • Design feature engineering strategies and modeling pipelines using large-scale enterprise datasets. • Establish best practices for model development, experimentation, validation, and reproducibility. • Lead advanced analytical techniques such as causal inference, scenario simulation, and risk scoring methodologies. • Build and maintain model evaluation frameworks that measure accuracy, bias, stability, and business impact. • Monitor deployed models for drift, degradation, and changing data distributions, and recommend recalibration strategies. • Provide technical guidance to data scientists and analysts across the organization. • Mentor junior team members on statistical methods, machine learning techniques, and analytical rigor. • Translate complex analytical findings into clear, actionable insights for business leaders and operational teams. • Collaborate with Claims Operations, Finance, Risk, and IT stakeholders to identify high-impact analytical opportunities. • Evaluate external data sources and third-party analytical solutions that enhance predictive capabilities. • Ensure analytical methodologies align with enterprise governance standards and regulatory expectations. • Contribute to Sedgwick’s broader AI and advanced analytics strategy by identifying emerging technologies and modeling approaches. • Lead research and innovation initiatives that advance Sedgwick’s predictive analytics capabilities.