Vice President, Data Science

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Kaufman Hall

WebsiteLinkedInAll Job Openings

Cost Accounting • Budgeting & Forecasting • Debt Financing • Capital Management • Capital Planning & Tracking

201 - 500 employees

Founded 30

📚 Education

💰 Private Equity Round on 2014-12

Description

• Lead data science team and manage projects • Drive data team project leadership and facilitate daily standups, project planning, scoping, goal setting, retrospective review, and ensure timely completion of all project milestones • Work extensively with consultants and clients to gather their objectives and translate into technical requirements for the data team • Propose and architect solutions to meet and anticipate client needs • Review project and solution output and contribute towards the advancement of QA practices • Guide continuous improvement of the data team processes and technical development • Conduct code reviews and provide recommendations on solution architecture and organization • Contribute towards solution and project roadmaps, and evaluate the success of products and solutions • Create solution and project collateral which may be used for informational, marketing, and business development purposes • Participate in both client-facing and internal meetings to explain approaches and deliverables with effective data storytelling • Participates in research to continually advance analytical, operations research, and process improvement methodologies for solving complex problems • Collaborates with application development teams in the development of scalable tools • Appropriately documents work for posterity, debugging, and future enhancement

Requirements

• 4+ years of progressive data science or analytics experience required, with at least 2 years of experience leading data teams • Healthcare finance and operations experience required. Prior consulting experience preferred • Experience with development and utilization of data science methodologies including predictive analytics, machine learning techniques, linear programming, advanced statistics, feature engineering, severity and risk modeling, optimization modeling, operations research, or logistics science within business settings • Proficiency in Python. Experience with PySpark, business intelligence tools, data querying tools (e.g. SQL), or statistical software (e.g. R, SAS) preferred • Proficiency with Microsoft Excel, Word, PowerPoint and other common business software. • Ability to assess client/project needs, outline project goals, define project deliverables, and establish timelines • Experience working on concurrent projects and managing multiple internal and external stakeholders at various levels • Excellent oral, written, presentation and interpersonal communication skills both internally and in front of audiences • Self-directed learner who demonstrates intellectual curiosity, operates independently, and works efficiently in an inter-disciplinary team environment • An entrepreneurial spirit that is inquisitive, proactive, interested in learning new tools and techniques • Unquestionable commitment to personal and corporate integrity in every situation