Data Scientist 2

31 Dexcom India Operations Private Limited; Bengaluru; On-site; INR 1,400,000 - 2,800,000; Full time

Benefits offered by this job

Life-changing CGM technology exposure

Global career opportunities

Learning programs & tuition support

Career development & growth

Comprehensive benefits program

Job summary

Dexcom India Operations Private Limited is seeking an Analytics Engineer to standardize and automate engineering data pipelines across mechanical, electrical, hardware, and firmware domains. You will design, model, and integrate structured and unstructured data from multiple systems and build BI dashboards that translate complex data into clear insights for R&D leadership.

You will collaborate with engineering and IT to establish data governance and quality standards, write robust SQL

Qualifications

• Bachelor’s degree in a technical discipline and 3–5 years related experience.
• Experience with SQL and NoSQL data modeling and dashboards.
• Ability to develop dashboards in Power BI and Tableau and automate analytics workflows.

Responsibilities

• Standardize and automate engineering data pipelines across multi-disciplinary domains.
• Design, model, and integrate data from engineering and enterprise systems.
• Build and maintain BI dashboards translating complex data into actionable insights.
• Collaborate with engineering and IT to define data governance and quality standards.
• Write and optimize queries, transformations, and automations using SQL.
• Evaluate and implement AI solutions to enhance engineering productivity.

Skills

Data modeling

SQL

NoSQL

MongoDB

Power BI

Tableau

Education

Bachelor’s degree in a technical discipline

Master’s degree or PhD in a technical field

Tools

Power BI

Tableau

MongoDB

Onshape

Job 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 the Analytics Engineer within the R&D Engineering organization, you will be responsible for standardizing, integrating, and automating engineering data and data management practices across mechanical, electrical, and firmware engineering teams. This role focuses on transforming complex, multi‑disciplinary data into trusted, scalable analytics and business intelligence solutions. You will model and integrate diverse data types and sources, develop advanced dashboards, and enable data‑driven decision‑making across the product development lifecycle. In addition, you will play a key role in delivering AI solutions—both custom‑built and third‑party—by partnering closely with engineering, IT, and business stakeholders. Your contributions will help improve data integrity, visibility, and efficiency, enabling R&D teams to operate at scale while supporting innovation in a regulated medical device environment.

Where you come in:

You lead efforts to standardize and automate engineering data pipelines across mechanical, electrical, hardware, and firmware domains. You design, model, and integrate structured and unstructured data from multiple engineering and enterprise systems. You build and maintain business intelligence dashboards and analytics (e.g., Power BI, Tableau) that translate complex technical data into clear, actionable insights for R&D and leadership through visualizations and executive‑level reporting. You partner with engineering and IT stakeholders to define data governance, data quality standards, and scalable data management practices.

You write and maintain queries, transformations, and automations using SQL and related programming languages. You support data modeling and storage solutions using platforms such as MongoDB and relational databases. You drive the evaluation, pilot, and implementation of AI solutions, including custom models and third‑party platforms, to enhance engineering productivity and insight. You analyze and interpret engineering test and validation data using statistical methods to identify trends, variability, and performance drivers across products and systems You develop statistical models and summaries to support engineering decision‑making, trade studies, and design verification activities You collaborate cross‑functionally to identify opportunities where data analytics and AI can improve engineering processes, quality, and decision‑making.

What makes you successful:

You have proven experience in a data analyst or data scientist role supporting engineering, R&D, or technical organizations. You are proficient in data modeling, querying, and transformation using SQL and NoSQL technologies such as MongoDB - Desired You have strong experience developing dashboards and analytics in Power BI and/or Tableau. You are comfortable programming for data integration, automation, and analytics workflows. You understand engineering data types and workflows across mechanical, electrical, hardware, and firmware development. You have experience deploying or supporting AI and machine learning solutions, including integration of third‑party AI tools. You are a problem solver who thrives on standardizing processes, improving data integrity, and reducing manual effort. You communicate clearly and effectively, collaborating with engineers, data consumers, and leadership. You are detail‑oriented, organized, and capable of managing multiple data initiatives in a fast‑paced, regulated environment. You demonstrate an eye for process improvement, with an interest in standardization, efficiency gains, and opportunities for automation within engineering workflows. Experience with Onshape is a plus, especially in environments transitioning from traditional CAD tools, along with exposure to CAD data migration or platform adoption efforts.

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: 0-5%. Experience and Education Requirements: Typically requires a Bachelor’s degree in a technical discipline, and a minimum of 3‑5 years related experience or Master’s degree and 2 years equivalent industry experience or a PhD and 0‑2 years experience.

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.

AI in Hiring Notice:

We may use AI supported tools to help make our hiring process more efficient, consistent, and accessible for candidates around the world. All hiring decisions are made by people. At Dexcom, we are committed to providing a fair and inclusive recruitment process, and welcome candidates of all genders and gender identities to apply. If any wording in this description appears unintentionally gendered or exclusionary, please be assured this is not intentional. Should a reasonable accommodation be necessary to aid a disability, requests should be sent to Dexcom Talent Acquisition at [e-mail].

Since 1999, Dexcom has simplified and revolutionized diabetes management, positively impacting millions worldwide. At Dexcom, we’re more than just a medical device company; we’re a collective of visionary thinkers, trailblazers, and problem solvers. Our mission transcends the ordinary. We aim to revolutionize healthcare, one groundbreaking technology at a time.