Job description

Wondering what’s within Danaher? Take a closer look.

At first glance, you’ll see Danaher’s scale. Our 70,000 associates work across the globe at more than 20 unique operating companies within four platforms—life sciences, diagnostics, water quality, and product identification. Look again and you’ll see the opportunity to build a meaningful career, be creative, and take risks with the support you need to be successful. You’ll find associates who are as certain about their impact as they are about where they’re headed next. You’ll find the Danaher Business System, which makes everything possible. You’ll also see a company that investors trust—our culture of continuous improvement has helped us outperform the S&P 500 by more than 5,000% over the past 25 years.

And no matter where you look at Danaher, at the heart of what we do, you’ll witness our shared purpose—helping realize life’s potential—in action. Whether we’re enabling our customers to provide clean water, supporting a life-saving vaccine development, advancing a new instrument for cancer diagnosis, or ensuring product safety, our work helps improve millions of lives.

We hope you’ll see yourself here, too. What you find at Danaher—and within yourself— might just change

As a senior member of the Data & Analytics team of Danaher Digital, you will own the design, development and delivery of machine learning (ML) solutions for Danaher’s operating companies! You will accomplish this by being hands-on and collaborating with other data scientists, software engineers and business groups. Your projects could come from any of our internal customers and use data from life sciences, medical diagnostics, industrial and other sectors.

Additionally, you will have the opportunity to mentor junior members of the team and help guide the strategic direction of the Danaher Digital data science organization!


Advanced degree in engineering, science, mathematics or a related field

7+ years of expert knowledge in the latest ML tools and methods, including time series analysis, survival analysis, and supervised and unsupervised learning, as applied in business contexts

Experience of having taken multiple ML projects from development to successful deployment

5+ years working with business executives as a trusted adviser in data science and data monetization

5+ years working with agile software development methods, such as scrum and Kanban and in-depth understanding of the ML life cycle

Ability to effectively summarize results from analysis to a diverse set of audiences with varying background and technical skills

Ability to travel for up to one week-long workshops or training once or twice each quarter. (Post COVID)

Preferred Qualifications

Ph.D. in engineering, science, mathematics or a related field

5+ years working with cloud computing, including AWS and/or Azure

Experience in the fields of IoT, including fault diagnosis and prediction in life sciences, medical diagnostics, biostatistics and more

Experience with Deep Learning (DL) and associated tools, such as TensorFlow and GPUs

Consultative experience providing technology and solution consultation to customers and clients

At Danaher, we’re driven by a sense of wonder for what we can create—and what we can become. Here, you’ll accelerate your career while driving innovation that improves lives. You’ll work hard and try new things, with guidance from committed leaders, powerful DBS tools, and the support of a global organization. If you’d like to learn more, read stories from our associates on our Careers Blog or join our talent network .


When you join us, you’ll also be joining Danaher’s global organization, where 69,000 people wake up every day determined to help our customers win. As an associate, you’ll try new things, work hard, and advance your skills with guidance from dedicated leaders, all with the support of powerful Danaher Business System tools and the stability of a tested organization.

Please let the company know that you found this position on this Job Board as a way to support us, so we can keep posting cool jobs.