Data Scientist

2 weeks ago

New Haven, United States Yale University Full time

**Data Scientist**:

- School of Public Health - Health Policy and Management
- 88423BR

**University Job Title**
- Research Specialist

**Bargaining Unit**
- None - Not included in the union (Yale Union Group)

**Time Type**
- Full time

**Duration Type**
- Fixed

**If Fixed Duration, Period**
- 1 year from date of hire

**If Fixed Duration, is continuation possible?**
- Yes

**Other Fixed Duration Date**
- 30-Jun-2025

**Compensation Grade**
- Clinical & Research

**Compensation Grade Profile**
- Research Specialist (25)

**Wage Ranges**
- Click here to see our Wage Ranges

**Searchable Job Family**
- Administration

**Total # of hours to be worked**:

- 37.5

**Work Week**
- Standard (M-F equal number of hours per day)

**Work Location**
- Medical School Campus

**Worksite Address**
- 60 College Street
- New Haven, CT 06510

**Work Model**
- Hybrid

**Position Focus**:

- 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.
- The Position Focus above most accurately describes this role, while the Principal Responsibilities provides general context for all Data Scientist roles at Yale.
- Principal Responsibilities include function as an embedded Data Scientist within DSS, collaborating across teams to create innovative data linkages that facilitate new research and policy evaluation. Design and construct a new data infrastructure from the ground up to support advanced analytics and comprehensive, scalable policy assessments. Conduct thorough data analysis to address specific research questions using state-of-the-art techniques.
- Develop and refine predictive models within DSS to optimize efficiency and effectiveness of member services. Continuously improve these models post-deployment to enhance precision and efficacy. Lead efforts in communicating complex research findings through clear, effective visualizations and writings for various outputs such as academic papers, grant proposals, and policy briefs. Serve as a programming and data expert, mentoring team members, ensuring best practices in coding, and developing new analytic tools to assure data integrity.

**Essential Duties**
- 1. Coordinates and manages diverse survey and experimental research projects, including research design, questionnaire development, implementation, and analysis, working with a multi-institutional team of investigators. 2. Authors public reports and peer-reviewed publications. 3. Constructs and maintains large datasets, including codebooks. 4. Maintains an online library of research reports and articles. 5. Assists with grant proposals. 6. Disseminates research findings through briefings, presentations, and social media. 7. May perform other duties as assigned.

**Required Education and Experience**
- Master’s degree in a relevant social science field or discipline, such as survey research, risk perception, communication (climate change, science, environment, public health, and/or political communication), behavior change, psychology, political science, sociology, or human geography and four years of experience or an equivalent combination of education and experience. Proficiency and experience in survey and experimental research, project and data management, and analysis.

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