05/20/2024

Yes

1128866

Data Scientist

Government

$83,000

$103,800

Not a Union Position

Not an SEIU Position

Exempt

Regular Full Time

12

40

M-F 9-6

Hanover, NH 03755
Silsby 010

Hybrid

No

NA

No

Reporting to the chairs of the Departments of Economics, Government and Quantitative Social Sciences, the Data Scientist working in the Social Science Data and Computation Lab at Dartmouth College serves as an integral member of the academic community. This individual provides expertise in data science and statistical analysis, supports faculty and students in their original research projects using data analysis tools such as Stata, R, and Python, and collaborates with researchers within the social sciences to advance the university’s research initiatives.

Masters or equivalent combination of education and experience

• Graduate degree in data science, economics, political science, statistics, computer science, or a related field. Applicants with a BA or BS and experience or evidence of relevant skills will also be considered.
• Proven experience in a research setting with a track record of contributing to original research projects.
• Proficiency in one or more of the following areas: statistical analysis, data modelling, and machine learning techniques, with command of Stata and R.
• Strong communication and collaborative skills and the ability to liaise with faculty and students from diverse academic backgrounds.
• Familiarity with academic research processes and the ethical considerations associated with data analysis and dissemination.

• Experience working within a university or academic research environment.
• Knowledge of data visualization tools and techniques.
• Familiarity with Python.
• Familiarity with GIS tools.
• Familiarity with applying emerging artificial intelligence tools, especially large language models, to social science problems.

Lucas Swaine

603-646-0765

Lucas Swaine

603-646-0765

Dartmouth College is an equal opportunity/affirmative action employer with a strong commitment to diversity and inclusion. We prohibit discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, marital status, or any other legally protected status. Applications by members of all underrepresented groups are encouraged.

Employment in this position is contingent upon consent to and successful completion of a pre-employment background check, which may include a criminal background check, reference checks, verification of work history, conduct review, and verification of any required academic credentials, licenses, and/or certifications, with results acceptable to Dartmouth College. A criminal conviction will not automatically disqualify an applicant from employment. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law.

Not an essential function

Dartmouth College has a Tobacco-Free Policy. Smoking and the use of tobacco-based products (including smokeless tobacco) are prohibited in all facilities, grounds, vehicles or other areas owned, operated or occupied by Dartmouth College with no exceptions. For details, please see our policy.

In addition to a resume and cover letter, applicants must include the following documents as part of their application:

1. Additional Document #1 – Most recent academic transcript.
2. Additional Document #2 – Document that contains the names of two individuals who are being asked to submit confidential letters of recommendation (see below for further instructions).

Project Design: Collaborate with faculty and students to identify data requirements and contribute to the design and implementation of research methodologies.

15

Data Preparation: Provide guidance and support in the collection, cleaning, and preparation of data for analysis, ensuring its integrity, suitability for research purposes, and replicability.

20

Statistical Analysis: Utilize statistical and data analysis tools, including Stata, R, and Python, to perform complex analyses and modelling, extracting actionable insights from research data.

30

Offer expertise in creating data visualizations, reports, and presentations that communicate research findings effectively.

20

Instruction: Conduct short workshops to familiarize (or potentially refamiliarize) undergraduate students in the social sciences with the basic use of statistical software.

10

Maintain Expertise: Stay informed about emerging trends and advancements in data science and statistical analysis and contribute to the development of best practices for research-related data management and analysis.

5

Demonstrates a commitment to diversity, inclusion, and cultural awareness through actions, interactions, and communications with others.

Performs other duties as assigned.