Data Scientist Recruiting at Barton Associates

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 Data Scientist you will work closely with our Lead Data Scientist and Chief AI Officer 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 a strong start to a career 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 recruiting opportunities (think doctors nurse practitioners and physician assistants) and get them to sign on with us for locum tenens services. Typical problems for this role will solve include:Which providers are most likely to work with BartonWhich providers would be the best fit for a posted listingWhat is the best time channel and message to engage with providersWhat is the optimal outreach and engagement strategy for a providerHow many providers should a recruiter work withWhat future specialties do we need to start focusing on today for needs tomorrowWhy 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 and a lot of what we make is the first time its ever been made much of what you create will be first of its kindVisibility: as a key member of Bartons innovation hub for youll be exposed to C-suite executives and other leaders regularlyMastery: 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 BartonResponsibilitiesPartner with Lead Data Scientist and business leaders emphasis on Recruiting and Marketing to understand challenges and translate unstructured business problems into solvable mathematical problemsParticipate in discovery sessions and workshops to get at root causes pursuant to developing the right solutions to the right challengesWork within our user centric product-inspired approach to Data ScienceCollaborate 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 growthCreate machine learning models that optimize next best actions and decision making for sales colleagues and leadershipLeverage AI capabilities to create organizational leverage including your own workQualifications0 to 3 years of professional experience in predictive modeling data science machine learningFluency with data science tools e.g. SQL Python R and ability to learn new tools on the flyAcademic or professional experience with explainable machine learning e.g. ShapleyAcademic or professional experience using LLMs e.g. API calls to chatGPTRobust conceptual understanding of machine learning and AI e.g. what is XGBoost and how does it work and generative AI e.g. how does gradient descent work why is it relevantComfort and experience engaging with business peers and leaders this role will be expected to present to leaders intermittentlyComfort 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 peoplePreferences:Management consulting experienceInterest in user-centric design app development and other related topicsInterest in the analytics related to sales marketing commercial growthInterest in healthcare and / or staffingInspired by names like: Drucker Tufte Taleb and Christenson Key Skills Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills Employment Type : Full-Time Experience: years Vacancy: 1