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Applied AI Solution Engineer at Barton Associates
Barton Associates
Peabody, MA
Information Technology
Posted 0 days ago
Job Description
OverviewDoctor shortages are one of the biggest healthcare challenges in America today and as our Lead Data Scientist youll 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 a word we need leverage.Which tasks are best suited to machines and which tasks should be reserved for human capitalWhat is the best way to screen 1000s of viable candidatesWhat is the most effective way to reach out and engage these candidatesHow can we shorten our time to fill to ensure clients have the qualified providers their patients needWhy Work at BartonAs 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 firstsVisibility: as a key member of Bartons innovation hub for youll be collaborating with executive leadership e.g. CEO CMO CIO and moreMastery: 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 BartonResponsibilitiesDrive the creation of AI powered agentic and automated solutions that modernize workflowsPartner 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 challengesLeverage User Centric Design product-inspired approaches to Data Science to develop consumption layers that narrow the gap between tech and businessCollaborate with learning and development to develop training and other engagement sustaining capabilities to ensure problems stay solvedConduct analytic research to identify opportunities causes and insights to drive growthMentor junior data scientistsQualificationsProven track record of automation or agentification with quantifiable results / ROI6 to 10 years of professional experience in process automation predictive modeling data science machine learningExperience 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 chatGPTComfort and experience engaging with business peers and leaders this role will be expected to present to executives periodicallyComfort 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 peoplePreferences:Management consulting experienceExperience with user-centric design app development and other related topicsExperience with or an interest in sales marketing commercial growthFamiliarity with healthcare and / or staffingInspired by names like: Drucker Tufte Taleb and Christenson Key Skills Sales Experience,ADAS,Customer Service,AI,Computer Skills,Retail Sales,Product Demos,Automotive Diagnostics,Automotive Repair,Business requirements,Cash Handling,Enterprise Sales Employment Type : Full-Time Experience: years Vacancy: 1
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