Sr Data Scientist at Dexcom

, , United States -

Full Time

Start Date

Immediate

Expiry Date

05 Mar, 26

Salary

194400.0

Posted On

05 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Ingestion, Statistical Analysis, Predictive Modeling, Data Cleaning, Data Visualization, Collaboration, Research, Python, SQL, Big Data, Machine Learning, Cloud Computing, Jupyter Notebook, Data Mining, Pattern Recognition, Interpersonal Skills

Industry

Medical Equipment Manufacturing

Description

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: As a Sr. Data Scientist on Dexcom's Global Data Science Team, you will be collaborating at the center of a best-in-class data science capability that augments and applies the whole of Dexcom's data assets to drive value creation across the business, develop innovative data products, and enable a tailored Dexcom experience for all of our customers. You will be working with the latest big data technologies and cloud computing platforms to query real-world data for commercial and clinical insights, support ad hoc data requests, develop ingestion pipelines for data modeling, and operationalize predictive model pipelines in a collaborative environment. Where you come in: You will collaborate with team members to write data ingestion pipelines, perform ad hoc analytics, operationalize model pipelines, and communicate results to data science team and stakeholders. You will use techniques from statistical analysis and predictive modeling to build knowledge of Dexcom products, processes, and customers. You will query and analyze data in support of existing apps and other products in commercial use. You will support stakeholders across the business by executing advanced forms of analytics on Dexcom's diabetes-related data. You will munge, clean and interpret raw data into analysis-ready data sets. You will assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management. You will perform high quality research in collaboration with other functional teams at Dexcom into the patterns and properties of diabetes centric data from the individual to population scale to inform product, digital services and business development. You will document code in shared repositories and communicate project results to department on completion of program. You will assist in executing projects that further the improvement and efficiency of the department. What makes you successful: You have familiarity working with databases and distributed computing platforms and their query interfaces. You have familiarity working with high-level programming languages. You have knowledge of statistical methods. You have familiarity with algorithms and the mathematical methods used to extract information from data. You have a good understanding of database systems. You have familiarity with visualization software and techniques. You are a team player with a demonstrated track record of collaboration. You are capable of conducting independent research, and motivated by hard technical challenges. You are a self-starter with exceptional interpersonal skills. You bring excellent written and verbal communications skills, with a proven ability to translate complex methodologies and analytical results to business insights. Preferred Qualifications: Experience working with Python. Experience working with GCP BigQuery or SQL. Familiarity with Python libraries for math and statistics. Working knowledge of enterprise cloud tools for big data analysis such as Google Cloud, AWS, and Azure. Familiarity with Jupyter Notebook, or Jupyter Lab. Familiarity with statistical inference, data mining, pattern recognition or machine learning. Ability to prepare high quality technical figures for publication in industry and scientific journals. Familiarity working cross functionally with teams deployed across the US and internationally. Experience in continuous glucose monitoring and related data. What you'll get: (this section should not be modified) A front row seat to life changing CGM technology. Learn about our brave #dexcomwarriors community. A full and comprehensive benefits program. Growth opportunities on a global scale. Access to career development through in-house learning programs and/or qualified tuition reimbursement. An exciting and innovative, industry-leading organization committed to our employees, customers, and the communities we serve. Travel Required: 0-5% Experience and Education Requirements: Typically requires a Bachelor's degree in a technical discipline, and a minimum of 5-8 years related experience or Master's degree and 2-5 years equivalent industry experience or a PhD and 0-2 years experience. 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: $116,600.00 - $194,400.00

Responsibilities

As a Sr. Data Scientist, you will collaborate with team members to write data ingestion pipelines, perform ad hoc analytics, and operationalize model pipelines. You will analyze diabetes-related data to support existing applications and inform product development.