Sr Staff Data Scientist
Share
Job Location:
San Diego, CA - USA
Monthly Salary:
$ 164200 - 273600
Posted on:
15 hours ago
Vacancies:
1 Vacancy
Job Summary
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 were 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 weve 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. Weve already changed millions of lives and were 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. Well get there by constantly reinventing unique biosensing-technology experiences. Though weve 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:
As part of the Commercial Data Science & Revenue Operations team you will join a team which is responsible for leveraging data and analytics to support sales/marketing revenue growth and drive data related innovation within the company.
As Senior Staff Data Scientist you will lead strategic commercial programs with a strong focus on Sales Operations AI-driven initiatives sales effectiveness and commercial performance measurement. This role will drive cross-functional projects that enhance operational efficiency optimize sales processes and deliver actionable insights through advanced analytics and reporting. The ideal candidate will partner with business leaders to drive sales related programs implement scalable solutions and ensure alignment with organizational goals.
Where you come in:
- Lead complex crossfunctional data science programs from discovery through production aligning engineering analytics product and compliance to deliver measurable business outcomes in medtech/biotech.
- Architect and evolve our cloud data stack (data lake/lakehouse pipelines CI/CD for analytics) with secure compliant data operations and auditable lineage suitable for qualitydriven environments.
- Design build and productionize ML solutions (supervised classification/regression; unsupervised clustering/anomaly detection) using Python and Amazon SageMaker with robust monitoring and model lifecycle management.
- Own AWSnative development workflows leveraging Redshift Lambda and AWS CDK to create scalable costaware services that integrate cleanly with enterprise platforms.
- Establish alerting/notification systems and engineering runbooks that raise signal increase reliability and shorten mean time to detect/resolve issues across data/ML services.
- Define and instrument KPIs that quantify model performance data quality and business impact; automate alarms for drift bias and SLA breaches.
- Mentor and uplevel the team setting technical direction code and science standards and coaching peers and junior scientists in experimental design and production engineering.
- Champion responsible AI and data governance partnering with Privacy Security and Quality to ensure compliant use of data robust documentation and auditreadiness.
What makes you successful:
- Industry: Significant experience in medtech/biotech or similar regulated qualitydriven settings; comfortable navigating audits validations and documentation expectations.
- Leadership: Proven track record leading software & data science projects and crossfunctional workstreams; strong mentorship history and ability to influence at senior levels.
- Cloud/ML: Active AWS Machine Learning Specialty certification; handson with Python Amazon Redshift AWS CDK AWS Lambda and Amazon SageMaker.
- Architecture: Practical mastery of data lake design batch/streaming data pipelining CI/CD for analytics/ML and secure compliant data operations (access controls logging encryption leastprivilege).
- Modeling: Demonstrated success delivering supervised and unsupervised algorithms into production with monitoring A/B evaluation and continuous improvement.
- Enablement: Experience building alerting/notification systems reliability playbooks and runbooks that improve efficiency and operational readiness for engineering teams.
- Communication: Ability to translate complex quantitative ideas for diverse audiencesexecutives commercial partners and engineeringthrough crisp narratives and visuals.
- Education: Preferred Masters degree in a quantitative field (Data Science Computer Science Statistics Engineering). Experience teaching graduatelevel courses and mentoring learners at an accredited university.
What youll get:
- A front row seat to lifechanging CGM technology.
- A full and comprehensive benefits program.
- Growth opportunities on a global scale.
- Access to career development through learning programs.
- An innovative industryleading organization committed to our employees customers and communities.
Travel Required:
- 5-15%
Experience and Education Requirements:
- Typically requires a Bachelors degree in a technical discipline and a minimum of 13 years related experience or a Masters degree and 8 years equivalent industry experience of a PhD and 5 years of experience.
Remote Workplace: Your location will be a home office; you are not required to live within commuting distance of your assigned Dexcom site (typically 75 miles/120km). If you reside within commuting distance of a Dexcom site (typically 75 miles/120km) a hybrid working environment may be available. Ask about our Flex workplace option.
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. Dexcoms AAP may be viewed upon request by contacting Talent Acquisition at
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
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: 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:
$164200.00 - $273600.00Required Experience:
Staff IC
Key Skills
- Laboratory Experience
- Bioinformatics
- Biochemistry
- Utility Locating
- Assays
- Research Experience
- Next Generation Sequencing
- Sensors
- Signal Processing
- Matlab
- Research & Development
- Molecular Biology
About Company
Dexcom Continuous Glucose Monitoring is simplifying diabetes management with a small device, accurate real-time glucose readings, and proven results. No fingersticks or scanning.†
