Lead Data Scientist Commercial Growth 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 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 specialtiesWhich needs are Barton best suited to addressWhat messaging would resonate most with them given their needWho at the facility holds decision rights for hiring locumsWhat is the best time channel and message to engage with prospective buyersWhat is the optimal engagement strategy to win over prospective buyersHow can we better connect state of the art recruiting with sales to create new growthWhy 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 BartonResponsibilitiesPartner with business leaders emphasis on Sales and Marketing to understand challenges and translate unstructured business problems into solvable mathematical problemsLead 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 growthCreate machine learning models that optimize next best actions and decision making for sales colleagues and leadershipLeverage AI capabilities to create organizational leverageMentor junior data scientistsQualifications6 to 10 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 flyHands on experience with explainable machine learning e.g. ShapleyHands on experience using LLMs in workflows e.g. API calls to chatGPTRobust 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 relevantComfort 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 models 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 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