Data Scientist

Yale School of Public Health (YSPH) is seeking a highly skilled Data Scientist (DS). This is a unique opportunity for a skilled programmer motivated to produce rigorous, empirical evidence to improve policy. The ideal candidate is an expert programmer fluent in R or Python, has experience manipulating health care datasets and working with advanced machine learning libraries (Scikit-learn, Keras, TensorFlow). Exceptional understanding of causal inference and a commitment to YSPH's mission are crucial. The individual will analyze data to solve research questions using cutting-edge techniques. The individual will be embedded within DSS where they will work across teams and data systems to preform novel linkages between programs, enabling new research into previously unanswerable questions. As part of this, the DS will build new infrastructure to support advanced analytics and rigorous policy evaluations which can scale to accommodate the future needs of DSS. The DS will develop and refine analytic plans with state-of-the-art statistical and econometric techniques to address research and quality improvement objectives at both Yale and DSS. They will develop novel predictive modelling capabilities within DSS using advanced machine learning techniques to improve the efficiency of current and future member-facing campaigns. After deployment, the DS will refine models with the goal of improving accuracy and targeting, and quantifying whether sophisticated techniques (e.g., deep learning) provide tangible benefits over current models. In addition to possessing highly technical quantitative skills, the DS must be an expert communicator with the ability to explain technical analyses to non-technical stakeholders, and they will act as a project lead on a mutli-disciplinary team. The DS will lead the group's ability to disseminate research findings. This includes distilling complicated research and designs down to succinct, impactful visualizations of results for academic papers and policy memos. The DS will lead in the drafting of manuscripts to ensure results are accurately and concisely communicated to the appropriate audience. The DS will be the programming expert, mentoring team members, ensuring best practices in coding, and developing new tools to assure data integrity. They will be responsible for reviewing code of less senior members and will document best practices and mentor other team members in statistical methods. The DS will develop new tools and infrastructure to verify the integrity of data and will create quality assurance checks and unit tests to validate data extracts and analyses. The DS will create novel data sets as a result of never-before-done data linkages and will proactively lead public and private data acquisition campaigns.

Yale School of Public Health (YSPH) is seeking a highly skilled Data Scientist (DS). This is a unique opportunity for a skilled programmer motivated to produce rigorous, empirical evidence to improve policy.