Senior Data Scientist - 312

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Research shows that women and underrepresented groups only apply to jobs only if they think they meet 100% of the qualifications on a job description. IMO is committed to considering all candidates even if you don’t think you meet 100% of the qualifications listed. We look forward to receiving your application!

Work that is meaningful. A job that has impact. Colleagues that inspire. That’s what you’ll find at Intelligent Medical Objects (IMO), a growing health IT company creating clinical terminology and insights solutions that are used by more than 740,000 US physicians and 4,500 US hospitals to power better patient care and support meaningful analytics. 

At IMO, a core team of clinicians, software developers, and data scientists combine computer science and medical expertise to help patients and healthcare professionals access high quality health information quickly and easily to improve total patient health. We are currently in need of a Senior Data Scientist to join this team! The ideal candidate will be intricately involved in collaborating across the enterprise, running analytical experiments in a methodical manner, and will regularly evaluate alternate models via theoretical approaches. This is the perfect opportunity for the successful candidate to become a part of an innovative and energetic team that develops analysis tools which will influence both our products and clients. 
Join our growing Software Engineering department as a Senior Data Scientist to help design, create, and support high quality solutions that support 80% of US clinicians and build the application of Data Science within IMO! 


  • Facilitate the creation of strategic initiatives that will provide advanced solutions for business cases and drive product development. 
  • Implement advanced statistical and predictive modeling techniques, focusing on clear algorithmic methods, models, and visualizations. 
  • Establish and improve on the department’s technical standards, mentor the department on standards, and ensure alignment with architectural direction. 
  • Leverage machine learning and data mining techniques. 
  • Combine data extraction, preparation, and cleaning with model training and evaluation. 
  • Design, develop, and implement programs, processes, and systems to generate actionable insights and drive business decisions. 
  • Develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources in a production environment. 
  • Use your thorough understanding of data science, analysis, and software engineering principle to mentor data scientists and engineers.
  • Interpret and communicate insights and findings from analysis and experiments for a multi-department audience. 
  • Support organizational decisions with well-understood and actionable insights, models, and artifacts. 
  • Stay current on data science and analytics tools, techniques, and practices. 


  • Master’s degree in Math, Statistics, Data Science, Computer Science, or a related field; PhD preferred. 
  • Strong experience building machine learning models that have been deployed to production and adopted. 
  • Demonstrated experience deploying, maintaining, versioning, and A/B testing machine learning models. 
  • Demonstrated experience working with cloud platforms 
  • Experience with graph databases
  • Demonstrated experience and skill developing and deploying full-stack solutions in Python including: Experience with Spark, pySpark, Experience with deep learning, NLP, TensorFlow and TensorFlow Serving. 
  • Experience with, and the ability to follow standardized development practices and tools, including TFS/GIT, code standards, and process standards. 
  • Experience with CI/CD tools or environments. 
  • Demonstrated proficiency writing unit tests using standard unit test frameworks. 
  • The ability to understand and create process documentation. 
  • Advanced knowledge of statistical techniques, concepts, methods, and approaches, and experience with their application. 
  • Proficiency and comfort using multivariate calculus and linear algebra. 

IMO provides visa sponsorship opportunities. Please don't hesitate to apply if you meet all the qualifications for this position and require visa sponsorship.

#LI-PL1 #LI-Remote

At IMO, we celebrate diversity and are committed to creating an inclusive environment for all employees. IMO is proud to be an equal opportunity workplace and is an affirmative action employer. 

IMO also provides visa sponsorship opportunities. Please don't hesitate to apply if you meet all the qualifications for this position and require visa sponsorship.

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Technology we use

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An Insider's view of Intelligent Medical Objects

How would you describe the company’s work-life balance?

We focus more on value delivered to our business and customers, and less on hours clocked behind the keyboard. Individuals work with their managers and teams to plan time off under our flexible good faith policy. We believe time away from work to enjoy personal interests provides the energy, passion and perspective needed to drive impact.

Brian Fors

Senior Manager, Software Engineering

How does the company support your career growth?

IMO values making time to learn and invests in everyone’s personal and professional development. We help build skills for the future through LinkedIn Learning, host workshops to help people operate at the top of their license, and promote regular development conversations with leadership.

Jenn Steplowski

Director, Talent Development

How do you empower your team to be more creative?

Giving the team space, the opportunity to iterate and noodle on ideas, and permission to fail quickly, is essential. It’s also important that managers don’t just jump in with “here’s how I think we should do it” – that kills the ideation and stops the creativity.

Scott Singer

Director, Software Engineering and SRE

How would you describe the company’s work-life balance?

The work life balance to not only be existent but promoted at large by leadership. Employees are strongly encouraged to take the time they need to avoid burnout, and to proactively maintain the balance needed to thrive both personally and professionally. I am so excited to work for a company that truly understands the value of work life balance!

Meosha Muhammad

Senior Manager, People & Culture

What are Intelligent Medical Objects Perks + Benefits

Friends outside of work
Eat lunch together
Intracompany committees
Daily sync
Open door policy
Team owned deliverables
Team based strategic planning
Group brainstorming sessions
Pair programming
Open office floor plan
Highly diverse management team
Unconscious bias training
Diversity Employee Resource Groups
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Pet Insurance
Wellness Programs
Onsite Gym
Mental Health Benefits
Child Care & Parental Leave Benefits
Generous Parental Leave
Flexible Work Schedule
Remote Work Program
Family Medical Leave
Vacation & Time Off Benefits
Unlimited Vacation Policy
Perks & Discounts
Casual Dress
Commuter Benefits
Company Outings
Game Room
Stocked Kitchen
Happy Hours
Professional Development Benefits
Promote from within
Time allotted for learning
Online course subscriptions available
Customized development tracks

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