Position Information
Posting date |
11/04/2024 |
Closing date |
|
Open Until Filled |
Yes |
Position Number |
1129122 |
Position Title |
Data Scientist |
Department this Position Reports to |
Government |
Hiring Range Minimum |
$83,000 |
Hiring Range Maximum |
$103,800 |
Union Type |
Not a Union Position |
SEIU Level |
Not an SEIU Position |
FLSA Status |
Exempt |
Employment Category |
Regular Full Time w/end date |
Scheduled Months per Year |
12 |
Scheduled Hours per Week |
40 |
Schedule |
|
Location of Position |
Hanover, NH |
Remote Work Eligibility? |
Remote eligible |
Is this a term position? |
Yes |
If yes, length of term in months. |
12 |
Is this a grant funded position? |
Yes |
Position Purpose |
Lead the design, development, and execution of advanced data science initiatives for the Polarization Research Lab. This role focuses on managing all data-related activities, ensuring smooth integration across platforms. It includes mentoring a junior data scientist and providing expert insights to cross-functional teams to support data-driven decision-making and innovation. |
Description |
|
Required Qualifications - Education and Yrs Exp |
Masters or equivalent combination of education and experience |
Required Qualifications - Skills, Knowledge and Abilities |
Education:
Master's degree in Data Science, Machine Learning, Artificial Intelligence, or a related discipline.
Experience: 3+ years of hands-on experience in a data science role, with a proven ability to lead and execute data projects from start to finish.
Technical Skills: Proficiency in R, Python,
SQL, and related data ecosystems for advanced data manipulation, analysis, and visualization.
Machine Learning & NLP: Experience applying machine learning models (e.g., regression, clustering) and natural language processing techniques to solve business problems.
Web Development: Experience developing web interfaces or dashboards that communicate complex data insights effectively to diverse stakeholders.
Statistical Analysis: Advanced knowledge of statistical techniques and methodologies, with practical experience in applying them to drive data-driven decision-making.
API Integration: Experience working with APIs (e.g., Google Ads, X, Meta) for data-driven optimizations and integrations. |
Preferred Qualifications |
- Cloud & Big Data: Familiarity with distributed computing and big data tools (e.g., AWS, Hadoop, Hive) and the ability to optimize workflows for large-scale data processing.
- Research & Publications: Experience contributing to publications or thought leadership in data science, including presenting at industry events or publishing research in journals.
- Team Collaboration: Proven ability to work effectively in cross-functional teams, collaborating with technical and non-technical stakeholders to drive results.
|
Department Contact for Recruitment Inquiries |
Sean Westwood |
Department Contact Phone Number |
775-229-3205 |
Department Contact for Cover Letter and Title |
Sean Westwood |
Department Contact's Phone Number |
775-229-3205 |
Equal Opportunity Employer |
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. |
Background Check |
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. |
Is driving a vehicle (e.g. Dartmouth vehicle or off road vehicle, rental car, personal car) an essential function of this job? |
Not an essential function |
Special Instructions to Applicants |
This position is funded by a grant. Continuation is based upon available funds.
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 |
Provide Github or Portfolio |
Quick Link |
https://searchjobs.dartmouth.edu/postings/76410 |
Key Accountabilities
Description |
End-to-End Data Management
- Lead the entire process of collecting, processing, cleaning, validating, and managing large-scale datasets, ensuring data quality and consistency across multiple sources.
|
Percentage Of Time |
20% |
Description |
Data Quality & Automation
- Implement advanced data quality frameworks and automation tools to maintain high standards of data integrity and reliability across diverse datasets.
|
Percentage Of Time |
20% |
Description |
Custom Software Development
- Design, develop, and maintain robust server-side custom software solutions to enhance data processing capabilities and ensure seamless integration with existing systems. Optimize for scalability, performance, and alignment with strategic objectives.
|
Percentage Of Time |
20% |
Description |
Dashboard Management
- Oversee the continuous enhancement of public-facing data dashboards, ensuring they provide actionable insights, meet usability and accessibility standards, and evolve with stakeholder needs.
|
Percentage Of Time |
15% |
Description |
Machine Learning & NLP Model Development
- Lead the design, development, and deployment of machine learning and natural language processing (NLP) models to address complex business challenges.
- Ensure models are optimized, validated, and seamlessly integrated into key business processes.
|
Percentage Of Time |
10% |
Description |
Statistical Analysis & Thought Leadership
- Conduct sophisticated statistical analyses to support high-impact publications, white papers, and reports.
- Develop clear, data-driven narratives that shape industry thought leadership and inform strategic decision-making.
|
Percentage Of Time |
5% |
Description |
Innovation & Strategy
- Drive innovation in data science techniques and technologies.
- Lead strategic initiatives and adapt to emerging opportunities that align with organizational goals.
|
Percentage Of Time |
5% |
Description |
Cross-functional Collaboration
- Collaborate with cross-functional teams to align data science efforts with broader business objectives, ensuring data insights drive decision-making and strategy.
|
Percentage Of Time |
5% |
-
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Demonstrates a commitment to diversity, inclusion, and cultural awareness through actions, interactions, and communications with others. |
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Performs other duties as assigned. |
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