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Data Science Project Manager Jobs in Vermont (NOW HIRING)

... 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 ...

As a Senior Manager you lead large projects, innovate processes, and maintain operational ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

NGA AI Engineer Manager

Montpelier, VT · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Take ownership of projects, ensuring their successful planning, budgeting, execution, and ...

Project Assistant

Colchester, VT · On-site

$50K - $59K/yr

Under the general direction of executives and managers, the Project Assistant performs a variety of ... Must possess accurate data entry skills (45+ words per minute with minimal errors). * Legally ...

... Chain, Project/Technology Management, Risk Management/Insurance - Demonstrating advanced skills in data science algorithms and workflows - Utilizing machine learning and deep learning techniques ...

Showing results 41-60

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 Aug 31, 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 a data science project manager?

A Data Science Project Manager is a professional who oversees and coordinates data science projects from inception to completion. They act as a bridge between technical data science teams and business stakeholders, ensuring that project goals align with organizational objectives. Responsibilities include planning project timelines, managing resources, mitigating risks, and communicating progress. They also help define project requirements, monitor deliverables, and ensure that outcomes meet quality standards. Strong communication, analytical, and organizational skills are essential for this role.

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 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.

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 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 August 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $127,183 per year, or $61.1 per hour.

Project Manager

Brattleboro, VT


Criminal Investigation & Law Enforcement | IRS Careers
Public Administration • 10K+ employees

7.5

Company rating: 7.5 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

130th of 294 rated public sector bodies

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Recommended by students


$125K/yr

Full-time

Posted 5 days ago


Job description

WHAT IS LARGE BUSINESS & INTERNATIONAL (LB&I)?

A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions
  • Position(s) are to be filled in following area(s):
    • LBI - ADCCI - Assistant Deputy Commissioner Compliance Integration, Data Solutions.

REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:

Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.

QUALIFICATION REQUIRMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
SPECIALIZED EXPERIENCE GS-14: To be eligible for this position, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service.
Specialized experience includes:

  • Experience planning and overseeing concurrent business-system assignments or projects by establishing project scope, schedules, resource requirements, milestones, and deliverables.
  • Experience conducting studies and evaluations of business systems or program operations using analytical and statistical methods to identify operational issues, establish performance measures, compare results against program goals, and recommend systems, programs, or policy improvements.
  • Experience analyzing business and functional requirements and documenting those requirements in business-system plans, system specifications, testing criteria, implementation plans, or recommendations for system improvements.
  • Experience developing and implementing planning policies, procedures, directives, or long-range business-system plans addressing organizational programs, resources, operations, or customer service.
  • Experience preparing reports, statistical tables, flowcharts, briefings, or recommendations and coordinating with managers, executives, technical officials, and other stakeholders to resolve implementation issues and obtain acceptance of recommended actions.

AND

You must also meet the following requirement(s):

  • TIME AFTER COMPETITIVE APPOINTMENT (TACA): Current civilian employees must have completed at least 90 days of federal civilian service since their latest non-temporary appointment from a competitive referral certificate, known as time after competitive appointment. For this requirement, a competitive appointment is one where you applied to and were appointed from an announcement open to "All US Citizens".
  • TIME IN GRADE (TIG): For positions above the GS-05,applicants must meet applicable time-in-grade requirements to be considered eligible. One year (52 weeks) at the next lower grade level is required to meet the time-in-grade requirements for the grade you are applying for. For positions at the GS-5, you cannot advance to the GS-05 if you have held a GS-02 in the past 52 weeks. There is no TIG restriction for GS-02, 03, or 04 positions.

For more information on qualifications please refer to OPM's Qualifications Standards.

Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER


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