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Data Science Manager Jobs in Vermont (NOW HIRING)

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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 Jun 15, 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 is the hottest job of the 21st century?

Data Science Manager is considered one of the most in-demand roles of the 21st century due to the rapid growth of data-driven decision making. These professionals oversee data teams, develop analytics strategies, and require skills in programming, statistics, and leadership. The role often involves working with tools like Python, R, and cloud platforms, and staying current with emerging technologies is essential.

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.

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 focus on the most impactful features or data subsets to optimize model performance and efficiency.

What is the salary of a data science manager?

The salary of a data science manager typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Senior managers or those in high-cost areas may earn higher compensation, often including bonuses and stock options.

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.

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 89% Full Time, and 11% Part Time. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $103,289 per year, or $49.7 per hour.
Data Science Analyst

$74K - $100K/yr

Full-time

Medical, Retirement, PTO

Posted yesterday


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 537 rated colleges and universities


Job description

Department

BSD SUR - OHNS: Thirty Million Words - Tech


About the Department

The TMW Center for Early Learning + Public Health at the University of Chicago develops, tests, and implements evidence-based interventions designed to promote very young children's cognitive and social-emotional development, with a priority placed on that of children living in poverty. TMW Center interventions are designed to be overlaid onto existing health, education, and social service systems working at scale in a given community in order to meet families where they already are. Our goal is to effect population-level change in children's academic and developmental outcomes. To date, the TMW Center has three randomized controlled trial (RCTs) and an implementation study in active implementation, each amassing more data over time. In recent years the TMW Center's interventions and projects have become more complex and varied. These include launching an additional RCT, substantial piloting of new curricula, further analysis of its SPEAK scale, implementation of a broader messaging campaign, a community-wide demonstration project, and development of wearable technology, all of which have significantly increased the amount of data generated and needing to be analyzed. This increased volume of data and expanded lines of inquiry necessitate investment into the TMW Center's data systems and procedures to ensure the TMW Center can keep up with high quality and efficiency. To this end, we envision a Data Science Analyst role on the Research Analysis team that will further develop the TMW Center's data system and data organization processes and protocols to ensure consistency and quality, prepare for the large volume of anticipated incoming data, and produce quality, analyzable data sets. The ideal candidate is a detail-oriented thinker with experience in the organization and storage of data for research purposes and understanding of developmental and linguistic coding techniques. The TMW Center seeks candidates who are dynamic, collaborative, and curious.


Job Information

Data Science Analyst for Chicago, IL location. Develop and maintain all data storage/data management systems to ensure quality and completeness. Cleans, transforms, merges, and matches between large and complex research datasets using econometrics methods and causal inference techniques. Ensure secure data storage, guaranteeing regular backups and storage in compliance with HIPAA, current best practices, and study requirements. Develop pipelines, processes and protocols to automate or streamline the creation, cleaning, and preparation for analysis of data sets. Lead the research, development, planning, and execution of a comprehensive enterprise architecture for research in developmental psychology, linguistics and applied public health. Perform data analysis, insight synthesis, and presentation. Technological environment: Python; SQL; R; Tableau/STATA; data analysis, insight synthesis, and presentation; AWS; Hadoop/Spark/Dask; HPC; SQL Server.

Additional Responsibilities

Additional Responsibilities

Education:

  • Bachelor's degree in Information or Computer Science or related field plus 2 years of experience in data research required.

Required Skills:

  • 2 years experience with each: research techniques/methods including causal inference and econometrics; research in developmental psychology, linguistics or applied public health; Python; SQL; R; Tableau/STATA; data analysis, insight synthesis, and presentation; AWS; Hadoop/Spark/Dask; HPC; SQL Server. Asynchronous & live coding test required.

Working Conditions

  • Background check with review of conviction history required. Four days in office required. $74,922/yr-$100,000/yr + benefits (https://mybenefits.nfp.com/UChicago/benefits-guide/)

Application Documents

  • Resume (required)
  • Cover Letter (required)


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


Benefit Eligibility

Yes

The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off.


Pay Rate Type

Salary


Pay Range

$74,922.00 - $100,000.00

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.


Scheduled Weekly Hours

40


Union

Non-Union


Job is Exempt

Yes


Drug Test Required

No


Health Screen Required

No


Motor Vehicle Record Inquiry Required

No


Posting Date

2026-05-13


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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