Email Opening Title Director, Data Science   About the Organization MOBE guides people to better health and more happiness. We help people discover connections between aspects of their lifestyle that affect health and well-being, including their medications and supplements. Behind our innovative solutions are robust data analytics, digital application, and a uniquely human philosophy. With one-to-one connection and compassion, we motivate people to transform their lives. MOBE is a high-growth organization with a culture built on trust and collaboration and our team is our most significant asset. Supporting and empowering others is at the core of our service and is also the foundation of our culture. We value a workforce made up of people with differences who are eager to learn from each other and grow personally and professionally. We extend this approach to our partners and communities, seeking to increase understanding and expand opportunities across all groups. Go to https://www.mobeforlife.com/DEI for more about diversity, equity, and inclusion at MOBE.   Description Your Role at MOBE This is an exciting time at MOBE and we are growing fast. At MOBE, we have a lot of data: medical and pharmacy claims, marketing campaign impressions, transcripts from participant interactions, etc. The MOBE Data Science team creates value by building systems of intelligence that cut across these data sources. Examples of past work include refining claims-based targeting algorithms based on analyses of Participant outcomes, optimizing the timing and messaging of outbound engagement efforts, and optimizing Guide/Participant matching for MOBE programs. The leader of the MOBE Data Science (DS) team will operate as a 'player-coach,' simultaneously developing solutions and supporting members of the team as they develop their own solutions. He/she will also exhibit strong leadership qualities, work cross-functionally to identify areas where we can leverage analytics, establish working relationships, communicate effectively across the organization and at different levels, think and act strategically to influence key leaders. Responsibilities: Data Science: Build Machine Learning (ML) models to improve the efficiency of key business operations and develop new business capabilities Lead a team of data scientists (regular code reviews, support thinking through problems and overcoming challenges, fascilitate skill development) ML/Data Engineering: Drive down the time to insight by improving the accessibility and organization of data Collaborate with Data Architecture team to help design data models that are performant, reusable, and extendable Collaborate with IT Operations and Data Architecture teams to deploy Machine Learning models and make insights available across our operational systems Architect cloud infrastructure and systems (workflow management, CI/CD, documentation, unit testing) used for development and deployment of DS solutions Strategy & Business Development: Develop and set strategic direction for achieving business goals through data, partnering with matrixed business & IT leadership Collaborate with Commercial and Actuary teams in delivering timely analyses of MOBE impact for prospective clients/partners Lead R&D on the latest DS & ML technologies and methodologies Other duties as assigned to help fulfill our Mission and abide by MOBE's Guiding Principles   Position Requirements Bachelor’s degree in a quantitative discipline (e.g., engineering, computer science, mathematics, physics) 7-10 years relevant experience Highly proficient using Python for supervised and unsupervised ML (scikit-learn, pandas, numpy) Highly proficient with SQL Experience using deep learning frameworks (TensorFlow, PyTorch) and GPU acceleration Experience deploying ML models as services or batch processes in ETL pipelines Experience working with healthcare data, specifically medical and pharmacy claims data Preferred: 5+ years of healthcare or medical economics experience Experience with NLP techniques and frameworks (spaCy) Experience building data transformation pipelines with DBT (getdbt.com) Experience building and maintaining highly-performant Redshift databases Experience working in a cloud-based environment (AWS, GCP, Azure) Comfortable building and deploying ML workflows with Docker/Kubernetes (Argo, Kubeflow) Guiding Principles: We want employees who are kind, talented and committed, who live by our guiding principles and choose to work at MOBE because of these principles. Care about people. We only succeed in our mission because we take good care of our own with the same energy, empathy and expertise we bring to the MOBE program. We honor who people are at work and outside of work. Attitude counts. Our people believe in a friendly, human approach to helping people with their health and enjoy a culture built on trust, positivity, and well-being. Do good together. As a mission-based organization, we need people who like to collaborate and are energized by doing good things. Believe in the power of human potential. We need people who want opportunities for personal growth and believe in making a difference in the health care space, person by person. Embrace new ideas. As a high-growth organization, we need people who have the energy and flexibility to innovate and evolve with our program. Apply learnings. We learn by doing, and we’re going to get better at helping people by being able to anticipate their needs. We need people who embrace continuous improvement and are dedicated to delivering results. Be relentless in the pursuit of awesome. MOBE offers a unique opportunity to help others lead more fulfilling, enjoyable lives. We need people who are ready to embrace this mission.   Full-Time/Part-Time Full-Time   EOE Statement We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.   Location Minneapolis   This position is currently not accepting applications. 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