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Data Science Manager Jobs in Vermont (NOW HIRING)

Industry/Sector Not Applicable Specialism Data Science Management Level Manager & Summary At PwC ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

Data Engineer

Colchester, VT · On-site

$145K - $150K/yr

Requires a Bachelor's degree (or foreign equivalent) in Computer Science, Information Technology ... API Development & Management: Snowflake Streamlit, microservices architecture, and cursor-based ...

Data Scientist

Montpelier, VT · On-site

$46.15 - $66.67/hr

Coordinate with all levels of management to understand and devise possible solutions for predictive ... Streamline data-driven processes using automation. * Analyze financial information to determine ...

... Data Science, and Data Governance - Architecting and implementing cloud-based solutions meeting industry standards Travel Requirements Up to 60% Job Posting End Date The salary range for this ...

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Data Science Manager information

See Vermont salary details

$33K

$103.3K

$182.9K

How much do data science manager jobs pay per year?

As of Jul 6, 2026, the average yearly pay for data science manager in Vermont is $103,289.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,200.00 and $133,400.00 per year, depending on experience, location, and employer.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

Is 40 too late for data science?

Age is not a barrier to becoming a data science manager; many professionals transition into data science roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like programming, statistics, and machine learning. Employers value diverse backgrounds and practical expertise regardless of age.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this principle to focus on the most impactful features, models, or data subsets to improve efficiency and outcomes in projects.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

How much do data scientist managers make?

Data Science Managers typically earn between $110,000 and $160,000 annually, with salaries varying based on experience, location, and company size. They often oversee teams of data scientists, coordinate projects, and require strong skills in analytics tools and leadership. Senior roles or those in high-cost areas can offer higher compensation.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Vermont? The most popular types of Data Science jobs in Vermont are:
What job categories do people searching Data Science Manager jobs in Vermont look for? The top searched job categories for Data Science Manager jobs in Vermont are:
Infographic showing various Data Science Manager job openings in Vermont as of June 2026, with employment types broken down into 3% As Needed, 74% Full Time, 20% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $103,289 per year, or $49.7 per hour.
Data & Engineering Manager

$135K - $150K/yr

Full-time

Medical, Retirement, PTO

Posted 25 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

113th of 544 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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