Doctor shortages are one of the biggest healthcare challenges in America today and as our Lead Data Scientist you’ll be directly working at Barton to solve it.

As our Lead Data Scientist you will work closely with Barton leadership to drive commercial growth for the organization by combining your advanced technical skills, consulting, and business acumen. This is a great role for someone who wants to thrive at the intersections of AI, machine learning, software development, and business.

Your primary focus will be to drive sales growth by helping Barton identify key buyers (think hospitals, clinics, and other care sites) and get them to sign on with us for locum tenens services. Typical problems for this role will solve include:

• Which facilities are most likely to need temporary providers and what specialties?
• Which needs are Barton best suited to address?
• What messaging would resonate most with them given their need?
• Who at the facility holds decision rights for hiring locums?
• What is the best time, channel, and message to engage with prospective buyers?
• What is the optimal engagement strategy to win over prospective buyers?
• How can we better connect state of the art recruiting with sales to create new growth?

Why Work at Barton?

As a member of the Data Science team you will have an incredible opportunity to grow your career while you help grow Barton. Here is what growth means for you in our Data Science team:

• Ownership: the team is young, most of what you accomplish will be company and industry “firsts”
• Visibility: as a key member of Barton’s innovation hub for you’ll be collaborating with executive leadership, e.g., CEO, CMO, CIO, and more
• Mastery: our Data Science career framework ensures you develop all aspects of being a high impact professional from consulting to code slinging, you will become the best version of yourself at Barton

• Partner with business leaders, emphasis on Sales and Marketing, to understand challenges and translate unstructured business problems into solvable mathematical problems
• Lead discovery sessions and workshops to get at root causes pursuant to developing the right solutions to the right challenges
• Leverage User Centric Design, product-inspired approaches to Data Science to develop consumption layers that narrow the gap between tech and business
• Collaborate with learning and development to develop training and other engagement sustaining capabilities to ensure problems stay solved
• Conduct analytic research to identify opportunities, causes, and insights to drive growth
• Create machine learning models that optimize next best actions and decision making for sales colleagues and leadership
• Leverage AI capabilities to create organizational leverage
• Mentor junior data scientists

• 6 to 10 years of professional experience in predictive modeling, data science, machine learning
• Fluency with data science tools, e.g., SQL, Python, R, and ability to learn new tools on the fly
• Hands on experience with explainable machine learning, e.g., Shapley
• Hands on experience using LLMs in workflows, e.g., API calls to chatGPT
• Robust conceptual understanding of modeling, e.g., what is XGBoost and how does it work, and generative AI, e.g., how does gradient descent work, why is it relevant
• Comfort and experience engaging with business peers and leaders, this role will be expected to present to executives periodically
• Comfort in both back office / heads down mode as well as front office / interpersonal mode, in other words you not only like building models, you also like promoting, teaching, and explaining them to non-technical people

Preferences:

• Management consulting experience
• Experience with user-centric design, app development, and other related topics
• Experience with or an interest in sales, marketing, commercial growth
• Familiarity with healthcare and / or staffing
• Inspired by names like: Drucker, Tufte, Taleb, and Christenson