Data Scientist

Job Details

Position Details

Position Information

Posting date
03/13/2026

Closing date
Open Until Filled
Yes

Position Number
1128866

Position Title
Data Scientist

Hiring Range Minimum
$92,100

Hiring Range Maximum
$106,000

Union Type
Not a Union Position

SEIU Level
Not an SEIU Position

FLSA Status
Exempt

Employment Category
Regular Full Time

Scheduled Months per Year
12

Scheduled Hours per Week
40

Location of Position
Hanover, NH 03755
Carpenter Hall

Remote Work Eligibility?
Onsite only

Position Purpose
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.

Required Qualifications - Education and Yrs Exp
Masters or equivalent combination of education and experience

Required Qualifications - Skills, Knowledge and Abilities

• 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.

Preferred Qualifications

• 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.

Department Contact for Recruitment Inquiries
Eric Edmonds

Department Contact Phone Number
603 646 2944

Special Instructions to Applicants
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. https://policies.dartmouth.edu/policy/tobacco-free-policy

Additional Instructions
Candidates to apply via: https://apply.interfolio.com/181749
Include the following documents as part of their application:

• Additional Document #1 – Most recent academic transcript.
• Additional Document #2 – Two Letters of recommendation. (Both letters will need to be saved and uploaded as one document).

Key Accountabilities

Description
Project Design: Collaborate with faculty and students to identify data requirements and contribute to the design and implementation of research methodologies.
Percentage Of Time
15

Description
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.
Percentage Of Time
20

Description
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.
Percentage Of Time
30

Description
Offer expertise in creating data visualizations, reports, and presentations that communicate research findings effectively.
Percentage Of Time
20

Description
Instruction: Conduct short workshops to familiarize (or potentially refamiliarize) undergraduate students in the social sciences with the basic use of statistical software.
Percentage Of Time
10

Description
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.
Percentage Of Time
5