Applied AI Solution Engineer

Barton Associates • Peabody, MA

61d

About The Position

Overview 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 commercial growth by helping Barton realize its digital worker and agentic AI agenda. Our company grew from nothing to one of the biggest locum tenens companies through human labor centric workflows and sheer force of will; to get to the next level we need to work differently and you can help by modernizing these workflows with AI, agents, and digital workers. In a word, we need leverage. Which tasks are best suited to machines and which tasks should be reserved for human capital? What is the best way to screen 1000s of viable candidates? What is the most effective way to reach out and engage these candidates? How can we shorten our time to fill to ensure clients have the qualified providers their patients need? 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

Requirements

• Proven track record of automation or agentification with quantifiable results / ROI
• 6 to 10 years of professional experience in process automation, predictive modeling, data science, machine learning
• Experience with business process analysis, operations research, and similar concepts that bring an engineering perspective to businessHands on experience using LLMs in workflows, e.g., API calls to chatGPT
• 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 capabilities, you also like promoting, teaching, and explaining them to non-technical people

Nice To Haves

• 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

Responsibilities

• Drive the creation of AI powered agentic and automated solutions that modernize workflows
• Partner with business leaders, emphasis on Sales and Marketing, to understand challenges and translate unstructured business problems into engineering problems to be addressed by automation, agentification, digital workers, etc.
• 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
• Mentor junior data scientists

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed