DexcomSr Process Engineer (Data Analytics & Science)
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.
Are you looking to leverage your experience to be part of something big and help people take control of their health? Do you enjoy building and managing relationships to better understand the needs of the business, and then creating and implementing solutions to meet those needs? Do you want to be part of a high-performing team dedicated to doing the right thing? If so, then we have an opening for you!
Our Data Science Team team is looking for the right teammate to support the start-up of our first European manufacturing site in Athenry. As a Senior Process Engineer – Data Analytics, you will use state of the art data science and analytics techniques in the implementation, characterization, improvement, qualification/validation and monitoring of highly automated, high throughput manufacturing lines.
Where you come in:
You will be responsible for generating monitoring and business intelligence dashboards within the Process Engineering team.
You will lead initiatives to enable other engineers and technicians to self-serve when it comes to data interrogation.
You will implement KPI tracking and reporting across the Process Engineering team.
You will work collaboratively across functions to ensure timely and accurate analyses.
You will ensure robust and accurate statistical techniques are used to interrogate data.
You will share findings across functions and between technical and non-technical team members.
You will use best software development practices to ensure robustness and repeatability of any performed analyses.
You will develop and maintain project timelines and provide updates and feedback to project leadership.
You will implement problem solving skills and techniques to identify potential process risks, assess their impact developing and implementing mitigation plans.
You will plan and perform Design of Experiments (DOE) and utilize Six Sigma methodologies to characterize, assess capabilities, and determine optimal operating windows.
You will transfer knowledge and understanding to receiving site operations teams along with providing technical training for responsible processes.
You will consult with global data science and other relevant global teams implementing solutions.
You will assume and perform other duties as assigned.
What makes you successful:
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.
Experience creating and maintaining business intelligence dashboards (e.g. Tableau, Looker, Aveva PI, Power BI).
Experience engineering and maintaining end-to-end data analysis pipelines, from querying data through to generating high quality visualisations. Exposure to advance data science methodologies is an advantage.
Ability to run self-directed projects, maintain timelines, stay organized, and balance multiple activities in a fast-paced environment.
Ability to deal with ambiguity/uncertainty and a willingness to try new/challenging things.
Familiar with experimental design, data analysis, and interpretation of experiments.
Excellent communication (written and verbal) and personal interaction skills
Knowledge of high reliability, high volume manufacturing processes and designs.
What you’ll get:
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:
- 5-15%
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.
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