Data Scientist

Sorry, this job was removed at 10:39 p.m. (CST) on Tuesday, Apr 01, 2025
4 Locations
Hybrid
119K-129K Annually
Healthtech • Security • Software • Cybersecurity
Empowering secure digital identities for healthcare and beyond.
The Role

Description
Come join a winning team! Here at Imprivata, you'll see a dedicated group of professionals who care about improving healthcare. Our team thrives on collaboration and sharing ideas, whether in a cross-functional meeting or at one of our virtual team-building events.
While we're diverse in our backgrounds and skills, we have much in common. A passion for our mission. A strong sense of integrity. A belief that we're making a positive impact and a commitment to having fun.
We are seeking a Data Scientist to join our team. This is a hybrid opportunity based out of our Waltham, MA; Austin, TX; or St. Petersburg, FL office. We are also extending this as a remote opportunity to candidates located in the Chicago, IL metropolitan area.
Job Summary
The Data Science team is responsible for building out the machine learning capabilities of Imprivata's Digital Identity Platform, with specific projects ranging from detecting patient privacy violations to using machine learning to empower what would be otherwise manual workflows. As a Data Scientist, you'll be deeply involved in every aspect of the project lifecycle, including gathering requirements, cleaning and exploring datasets, running machine learning experiments, and deploying services to production.
Duties and Responsibilities
As a Data Scientist, you'll be expected to:

  • Put ethics and security first. The datasets that we use almost invariably contain PHI or similarly sensitive information, and we take the responsibility that comes with that access seriously.
  • Drive business value with machine learning. That includes everything from initial framing of the problem, to pulling and working with data, to training models, to communicating results.
  • Write high quality, production Python code. While we work closely with other engineering teams, we don't hand off research code to be productionized by someone else -- we own our solutions end-to-end and do our best to keep raising the technical bar.
  • Build a breadth of machine learning knowledge. Beyond actually training models, you'll rely on that fluency when it comes to tasks like gathering requirements or iterating on model output with subject matter experts.
  • Communicate effectively. Taking your project from business problem to production service isn't a solo exercise; you'll need to work well with people from other teams and our own in order to succeed.
  • Collaborate with the team. Everyone is responsible for making the team better through collaboration: as a Data Scientist, you'll work with senior-level members of the team in an informal mentorship role by way of things like pair programming. You'll also be expected to providing meaningful code reviews for others on the team.


Qualifications

  • Excellent problem solving skills.
  • Solid experience with Python and common Data Science packages, such as NumPy, pandas, and scikit-learn. Additional experience with relevant packages such as PyTorch, Dask, Pydantic a plus.
  • Good understanding of standard machine learning techniques such as classification, regression, clustering, dimensionality reduction. Additional expertise in specific areas such as NLP, anomaly detection, graph methods, etc. a plus.
  • Proficiency with SQL and relational databases.
  • Experience working in a Unix environment.
  • 1-3 years of data science experience.


This position offers a total compensation range of $118,800.00 - $128,800.00 (inclusive of base salary and variable compensation, such as bonuses and incentives). In addition, more information about Imprivata's benefit offerings can be found here. This range represents the high and low end of Imprivata's compensation range for this position. Actual compensation will vary and may be above or below the range based on various factors, such as a candidate's location, skills, experience, and qualifications.
At Imprivata, we have a top-notch work environment, developmental opportunities, a competitive total rewards package, and the desire to have fun. If you have the skills and qualifications as we have described above, we want to hear from you!
Imprivata provides equal employment opportunities, regardless of race, religion, age, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
#LI-Hybrid #LI-LI1

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The Company
HQ: Waltham, MA
1,372 Employees
Year Founded: 2002

What We Do

For more than two decades, Imprivata has been redefining how life- and mission-critical industries secure and manage digital identities. We empower healthcare and enterprise organizations to enable fast, compliant, and secure access to technology—allowing clinicians and staff to stay focused on what matters most: patient care and operational excellence.

Our digital identity platform is purpose-built for complex environments where every second counts and security can never take a back seat. From authentication and access management to device, application, and identity governance, Imprivata provides a unified approach that balances usability with protection.

Trusted by the world’s leading healthcare systems and enterprises in over 45 countries, we deliver solutions that improve efficiency, safeguard data, and drive digital transformation.

At Imprivata, our commitment goes beyond technology—we partner closely with our customers to ensure their success, every step of the way.

Why Work With Us

At Imprivata, every voice matters. We’re a global team driven by innovation, compassion, and collaboration. Together, we live our values—Raise the Bar, Own the Outcome, Stay Nimble, and Win Together—while making a real impact on healthcare, technology, and the communities we serve.

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Imprivata Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Imprivata offers a flexible hybrid work model with three in-office days and two remote. Collaboration is key, and schedules are coordinated with managers to balance flexibility and connection.

Typical time on-site: 3 days a week
HQWaltham, MA
Costa Rica
Benelux
Austin, TX
Germany
Australia
St. Petersburg, FL
European Headquarters
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