Data Scientist II

Data Scientist II

At Medical Solutions, we’re people who care, helping people who care. No matter how you look at it, there’s a whole lot of care going on in our world and that’s just the way we like it.

What do we do? Medical Solutions is one of the nation’s largest providers of total workforce solutions in the healthcare industry, connecting nurses and allied health clinicians with hospitals and healthcare systems across the country and around the corner. Through our family of brands, we also serve a segment of clients outside of the healthcare space. And we’re the very best at what we do.

You’ll love our culture that’s filled with heart and soul. As a company and employer, we’re sincerely and unabashedly us. We lead as humans first and believe the unique qualities of each team member make us better together. We share a purpose for helping others and the drive to make a difference. And we offer endless opportunities for personal and professional growth, throughout your career.

At Medical Solutions, you’ll find a great place to work and a career home. We’ve received Best Places to Work awards, landed top industry awards, and received accolades for the impact we’ve made in business and within our community.

But the only way to really get to know us, is to join us. We think you’ll fit right in.

Data Scientist II – Job Description

Our team is currently looking for a Data Scientist II who is passionate about creating awesome advanced analytics solutions for our customers and our teammates. You’ll be hands on with solution delivery, working with data engineering and business stakeholders. The ideal candidate will identify, design, and implement solutions that optimize business processes in a strategic and impactful way.

We value open and honest communication, and we strive to create a positive and fun team-based environment. We want teammates that challenge themselves, as well as those around them to create high quality analytical products and services. You’ll be flexible, proactive, and solution focused.

Job Responsibilities:

  • Learn business processes and gain deep understanding of their data requirements to design and apply advanced analytics solutions to optimize them 
  • Design, develop, evaluate, and deploy predictive modeling, machine learning (ML), advanced analytics solutions 
  • Expert level data visualization to summarize and present key insights to both technical and non-technical audiences including presenting predictions and other analytical outcomes 
  • Contributes to identifying new statistical methods, technologies, and design patterns 
  • Establishes and maintains coding and ML standards, source control, scalability, testing processes, etc. 
  • Contributes to architectural design discussions of enterprise-grade ML platforms that meet compliance, performance/scalability, and operational requirements
  • Partner closely with machine learning engineers to support development, experimentation, continuous integration, continuous delivery, validation, and monitoring of AI/ML Models 
  • Mentor less experienced data scientists  
  • Work cross-functionally with resources such as business SMEs, analysts, data engineers, architects, DBAs, infrastructure to design and deliver advanced analytic solutions 
  • Work with analysts to document requirements, assumptions, and methodologies including validation, testing, and implementation strategies 
  • Tuning production models 
  • Assists with building data science and advanced analytics roadmaps 
  • Adhere to established coding and ML standards 
  • Work with the defined source control and change management processes 
  • Stay current with the approved enterprise technology and ML stack 

Job Qualifications:

  • Master’s degree in Statistics, Data Science, or a closely related discipline in a Computer Science field (or equivalent)
  • Minimum 3 years of demonstrated experience with utilizing machine learning to optimize business outcomes including detailed experience with machine learning methods, design, build, testing, and implementation 
  • Minimum 3 years of experience working with Database Management Systems, Data Lake, and cloud-based ML Ecosystems such as Spark or Azure Databricks 
  • Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, forests, boosted ensembles, neural networks, deep learning, and graph analytics 
  • Experience using Integrated Development Environments like Notebooks (e.g., Jupyter), and Visual Studio with SSDT, Azure Data Tools, SQL Server Management Studio 
  • Skilled in data modeling for advanced analytics 
  • Deep understanding of common design patterns and their uses 
  • Skilled in creating operational production machine learning models 
  • Proficiency with ETL and ELT design patterns and optimization as well as complex orchestration via tools like Azure Data Factory, Azure Databricks, or similar  
  • Using work management tools such as Jira or Azure DevOps 
  • Experienced with web services and other Application Programming Interfaces 
  • Expert knowledge of SQL 
  • Expert knowledge and application of modern data science languages such as Python, R, Scala, etc. 
  • Strong interpersonal communication and presentation skills 
  • Collaborative and team-centric 
  • Strong desire to uphold best practices 
  • Ability to anticipate changes and impacts 
  • Iterative mindset focused on constant improvement 


  • Ph.D. preferred

Some of the benefits we offer…

  • Insurance: Day 1 benefits (health, dental, vision, 401(k) + employer match after 6 months and 500 hours of employment and company-paid life insurance; short and long-term disability; supplemental life insurance for yourself, spouse & child(ren); and multiple voluntary benefits
  • Flexible PTO (PT-Oh!)
  • Flexible schedules
  • Award-winning training program
  • Connectivity stipend
  • Competitive compensation as part of our total rewards package
  • Opportunity for additional/bonus compensation through individual and company performance targets determined by the Company at its discretion
  • (8) paid Holidays
  • Paid parental leave
  • Employee Assistance Program (EAP)

Why us?

  • We live our Values in all we do
  • Commitment to diversity, equity, and inclusion
  • Focus on total wellbeing
  • Employee Experience Team that provides perks in-office and virtually
  • Relaxed culture and casual dress (t-shirts and flip-flops welcome!)

Learn more about Medical Solutions and what it’s like to be part of our team. Check out our Careers website,

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