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Data Science Project Manager Jobs in Vermont (NOW HIRING)

Management will be of commercial projects within our core markets: healthcare, higher education, advanced technology, life sciences and commercial. Project managers will work closely with all members ...

Monitor cost data and manage the profitability of projects. * Perform job cost forecasts monthly, in partnership with the Superintendent, and present cost forecasts monthly to Management. * Provide ...

Project Manager

Williston, VT · On-site

$100K - $130K/yr

Monitor cost data and manage the profitability of projects. * Perform job cost forecasts monthly, in partnership with the Superintendent, and present cost forecasts monthly to Management. * Provide ...

Engineering Project Manager

VT · On-site

$90K - $120K/yr

DuBois & King is currently hiring a Engineering Project Manager to join the Public Works Division ... scientists, biologists, landscape architects, and support personnel. We offer a competitive salary ...

Civil Project Manager

Sharon, VT · On-site +1

$105K/yr

... scientists, engineers, geologists, and technical specialists, embedded in a people-focused culture ... We partner with clients to deliver smart, data-driven solutions to complex environmental and ...

... scientists, engineers, geologists, and technical specialists, embedded in a people-focused culture ... We partner with clients to deliver smart, data-driven solutions to complex environmental and ...

Civil Project Manager

Newport, VT · On-site +1

$105K/yr

... scientists, engineers, geologists, and technical specialists, embedded in a people-focused culture ... We partner with clients to deliver smart, data-driven solutions to complex environmental and ...

... scientists, engineers, geologists, and technical specialists, embedded in a people-focused culture ... We partner with clients to deliver smart, data-driven solutions to complex environmental and ...

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Showing results 1-20

Data Science Project Manager information

See Vermont salary details

$17

$61

$85

How much do data science project manager jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for data science project manager in Vermont is $61.15, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $71.59 per hour, depending on experience, location, and employer.

What is the 80 20 rule in data science?

The 80/20 rule, also known as Pareto principle, suggests that in data science projects, roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance efficiently.

What is the hottest job of the 21st century?

Data Science Project Managers are among the most in-demand roles due to the rapid growth of data-driven decision making. They coordinate teams, manage projects, and utilize skills in analytics, programming, and tools like Python or R to deliver insights, making this a highly sought-after career in the evolving tech landscape.

What is a data science project manager?

A data science project manager oversees data-driven projects, coordinating teams of data scientists, analysts, and engineers to ensure timely delivery of insights and solutions. They plan project timelines, manage resources, and communicate findings to stakeholders, often using tools like project management software and understanding data science methodologies.

How does a Data Science Project Manager typically collaborate with data scientists and stakeholders throughout a project?

A Data Science Project Manager acts as a bridge between technical teams and business stakeholders, ensuring clear communication of goals, timelines, and deliverables. They facilitate regular meetings to discuss project progress, address any obstacles, and realign priorities as needed. By translating business requirements into actionable tasks for data scientists and providing updates to stakeholders, they help ensure that projects stay on track and deliver value. Effective collaboration often involves balancing technical feasibility with business needs, managing expectations, and fostering a cooperative team environment.

What is the difference between Data Science Project Manager vs Data Analyst?

AspectData Science Project ManagerData Analyst
Required CredentialsOften requires a bachelor’s or master’s in data science, analytics, or related fields; project management certifications beneficialTypically holds a bachelor’s degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads data science projects, collaborates with data scientists, engineers, and stakeholdersAnalyzes data sets, creates reports, visualizations, and supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms managing data science initiativesFound across industries for data reporting, business intelligence, and operational analysis

In summary, a Data Science Project Manager oversees data science projects and manages teams, requiring project management skills and relevant certifications. A Data Analyst focuses on analyzing data and creating reports, with a more technical and analytical role. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a Data Science Project Manager, and why are they important?

To thrive as a Data Science Project Manager, you need a solid understanding of data science methodologies, project management principles, and usually a degree in computer science, statistics, or a related field. Familiarity with analytics tools (such as Python, R, SQL), project management software (like Jira or Trello), and certifications such as PMP or Agile/Scrum are often required. Strong leadership, communication, and problem-solving skills set top performers apart by enabling effective team coordination and stakeholder management. These competencies ensure projects are delivered on time, within scope, and generate actionable insights that drive business value.

Can a data scientist become a project manager?

A data scientist can become a project manager by developing skills in leadership, communication, and project planning, often gaining experience in managing teams and projects. Transitioning may also involve obtaining certifications like PMP or Agile, and understanding project management tools. Success depends on the individual's ability to adapt their technical expertise to broader project oversight responsibilities.
What are popular job titles related to Data Science Project Manager jobs in Vermont? For Data Science Project Manager jobs in Vermont, the most frequently searched job titles are:
What job categories do people searching Data Science Project Manager jobs in Vermont look for? The top searched job categories for Data Science Project Manager jobs in Vermont are:
Infographic showing various Data Science Project Manager job openings in Vermont as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $127,183 per year, or $61.1 per hour.
Data & Engineering Manager

$135K - $150K/yr

Full-time

Medical, Retirement, PTO

Posted 14 days ago


University Of Chicago rating

8.2

Company rating: 8.2 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

109th of 539 rated colleges and universities


Job description

Department

PSD Data Science: DDRI Leadership


About the Department

The Data Science Institute at the University of Chicago was established to support the development of emerging efforts in data science across the University. The staff in the Data Science Institute support the University's community of scholars, their shared ideals, and the core values that make the University a singular intellectual destination. Together with the University's deans and department chairs, the Data Science Institute provides the opportunities, infrastructure, and resources that encourage our faculty and other scholars to pursue their finest work. We are part of the Physical Sciences Division which includes departments and several interdisciplinary research institutes and centers.


Job Summary

The Data & Democracy Research Initiative (DDRI) Data and Engineering Manager will lead the DDRI technical research team. The successful candidate will both understand how to establish and nurture software development best practices and is also excited by the opportunity to lead a team in a dynamic academic environment. They will have significant technical expertise in one or more of the following areas: cloud computing, database design, web-based applications or machine learning. The Engineering Manager will have significant decision-making capability on both which projects are selected to be worked on and how those projects are executed.

Responsibilities

  • Manage a team of engineers and students contributing to projects across DDRI activities driving the development of robust, scalable, core components.

  • Provide mentorship to engineers and students and share your passion for staying on top of tech trends, experimenting with and learning new technologies.

  • Establish processes to triage bugs, track software defects, and ensure their timely resolution. Define and steward technical standards and code quality.

  • Oversee internal computing resources.

  • Work closely with faculty to develop novel research and act as the principal liaison to faculty research partners.

  • Develop, apply and communicate standards for evaluating project proposals based on technical merit and other institutional goals.

  • Develop and communicate program priorities and performance standards and assess operations using these criteria.

  • Participate and direct code review and code evaluation activities.

  • Act a subject matter expert and technical lead on one or more areas of database design, cloud deployment, microservices, develops best practices.

  • Manages professional staff that support and develop cluster partnership programs, consultant partnership programs, new faculty programs, and outreach programs.

  • Monitors achievement of programmatic and operational goals. Directs the management of projects, as appropriate, including ensuring that all priorities are reasonably set and appropriately met.

  • Performs other related work as needed.


Minimum Qualifications

Education:

Minimum requirements include a college or university degree in related field.


Work Experience:

Minimum requirements include knowledge and skills developed through 7+ years of work experience in a related job discipline.


Certifications:

---

Preferred Qualifications

Education:

  • Advanced degree.

Experience:

  • Significant experience with professional software development management.
  • Experience using and developing on one of the major cloud providers (AWS, GCP or Azure).
  • Significant experience developing code in Python with knowledge of Node.js and a compiled language such as C/C++.
  • Project management experience using agile methodologies (scrum, kanban, etc.).
  • Strong foundation in data management and data science.
  • Cloud computing cost estimation and budgeting.
  • Experience with research universities or research environments; experience working with faculty, students, and researchers.
  • Strong analytical skills and problem solving.
  • Student mentoring experience.
  • Demonstrated communication skills and the ability to break down complex technical problems.

Application Documents

  • Resume (required)
  • Cover letter (preferred)


When applying, the document(s) MUSTbe uploaded via the My Experience page, in the section titled Application Documents of the application.


Job Family

Research


Role Impact

People Manager


Scheduled Weekly Hours

37.5


Drug Test Required

No


Health Screen Required

No


Motor Vehicle Record Inquiry Required

No


Pay Rate Type

Salary


FLSA Status

Exempt


Pay Range

$135,000.00 - $150,000.00

The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting.


Benefits Eligible

Yes

The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.


Posting Statement

The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.

All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at:http://securityreport.uchicago.edu.Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.


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