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Data Science Associate Jobs in Portsmouth, RI (NOW HIRING)

Associate Chemist

East Providence, RI

$24.50 - $32.25/hr

Analyze test data using various computer software programs. WHAT YOU WILL NEED * Associates degree in Chemistry or Chemical Engineering or related science * In Lieu of Associates degree, 3+ years ...

Associate Chemist

East Providence, RI

$24.50 - $32.25/hr

Analyze test data using various computer software programs. WHAT YOU WILL NEED * Associates degree in Chemistry or Chemical Engineering or related science * In Lieu of Associates degree, 3+ years ...

Associate Chemist

East Providence, RI ยท On-site

$24.50 - $32.25/hr

Analyze test data using various computer software programs. WHAT YOU WILL NEED * Associates degree in Chemistry or Chemical Engineering or related science * In Lieu of Associates degree, 3+ years ...

Senior Medical Economics Analyst

Providence, RI ยท On-site +1

$93K - $140K/yr

... Economics, Data Science, or Health Informatics). * Experience: Minimum 5+ years of experience ... We actively support associate well-being and work/life balance and offer the following schedules ...

Showing results 21-40

Data Science Associate information

See Portsmouth, RI salary details

$57.4K

$67.9K

$128.7K

How much do data science associate jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data science associate in Portsmouth, RI is $67,870.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,900.00 and $59,400.00 per year, depending on experience, location, and employer.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a data science associate?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to advance into more specialized roles.

What cities near Portsmouth, RI are hiring for Data Science Associate jobs?

Cities near Portsmouth, RI with the most Data Science Associate job openings:

Infographic showing various Data Science Associate job openings in Portsmouth, RI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $67,870 per year, or $32.6 per hour.

Post-Doctoral Research Associate, Staff Associate (Grant Funded)

Bridgewater State College

Bridgewater, MA โ€ข On-site

$65K - $70K/yr

Full-time

Re-posted 15 days ago


Job description

Posting Details
Position Information
Title
Post-Doctoral Research Associate, Staff Associate (Grant Funded)
Department Summary
The Department of Biological Sciences at Bridgewater State University is a dynamic community with over 400 undergraduate majors and a growing master's program. We aim to provide our students with a broad background in the biological sciences while also supporting subdisciplines of interest (e.g., we have concentrations in Cellular and Molecular Biology, Ecology and Evolutionary Biology, Biomedical Science and Pre-medicine, and Secondary Education). Given the number of positions in biotechnology, research, education and health care in the area, the mission of the department is to train students and support their placement into the workforce and advanced degree programs. Students are the central focus and an integral part of the Department, working side-by-side with faculty who are enthusiastically committed to teaching and research. A strong sense of community is fostered through small class sizes and individualized research and career mentoring from faculty. Our department has a strong and well-supported undergraduate research program that supports student research projects and student travel to present their research at local, national, or international conferences. The candidate will join thirteen Full-Time Tenure-Track Faculty in the department and teach a diverse student population. In Fall 2025, 46% of our declared majors were students of color, 48% were first-generation, 38% were low-income, and 20% were LGBTQIA+. Within the College of Science and Mathematics, and in our department, we have an active Collective focused on Equity and Racial Justice, and this new faculty member is encouraged to participate in this work. Successful candidates will be faculty members who can work with their colleagues to help meet the mission of the department in serving and supporting our racially and ethnically diverse campus community.
Bridgewater State University is an inclusive community dedicated to the lifelong success of all students; focused on the continuous improvement of its people; and is responsible for leading innovation that benefits Southeastern Massachusetts, the commonwealth, and the world. Bridgewater's accessible environment of teaching and learning stimulates critical thinking and the pursuit of new knowledge and deeper understanding. The teaching and learning environment at Bridgewater also cultivates meaningful and diverse interpersonal relationships and fosters an appreciation for global engagement aimed at transforming lives and improving the human condition.
Our commitment to diversity, equity, and inclusion is reflected in our institutional values, which ensure that all students are supported and succeed.
Position Summary
The Post-Doctoral Associate will coordinate and participate in integrated field and analytical components of a multi-year project in southeastern Massachusetts (Greater Boston Area). The position will lead seasonal field implementation (automated trail cameras, small-mammal surveys, tick collections), manage and integrate multiple data streams (field, laboratory, and open biodiversity databases), and develop multi-species, dynamic occupancy and geospatial models to estimate distributions and drivers of white-tailed deer and other wildlife hosts. Multi-species occupancy modeling is commonly used to account for imperfect detection while estimating community- or multi-host occurrence patterns.
This position is an exempt, APA unit position and is subject to the terms of that union agreement.
Appointment Terms: This is a grant-funded APA position. The current grant is expected to support up to five years of work. Continuation or renewal beyond the initial appointment period may be possible, subject to continued funding, satisfactory performance, and the terms and conditions of the APA collective bargaining agreement.
Tour of Duty: Monday - Friday 9:00 AM - 5:00 PM, some nights, and weekends. On-site and in the field as project needs dictate. The duty schedule will be field-intensive from May through July, with a more flexible schedule during the remainder of the year focused on data processing, modeling, writing, and mentoring.
Essential Duties
  • Plan and conduct repeated field visits to multiple sites in southeastern Massachusetts
  • Deploy and maintain automated trail cameras; conduct small-mammal surveys
  • Collect ticks and small-mammal tissue samples following approved protocols
  • Train and co-supervise graduate and undergraduate students in field methods and safety.
  • Develop and implement multi-species dynamic occupancy models (including models estimating occupancy, colonization, and extinction processes through time), build complementary statistical and geospatial models of host distributions, and establish reproducible pipelines to ingest and harmonize open-source biodiversity data (e.g., via eBird and iNaturalist) with required attribution/terms compliance.
  • Disseminate results through national conference presentations and will co-author peer-reviewed manuscripts with the project team.

Required Qualifications
  • PhD in ecology, wildlife biology, epidemiology, quantitative biology, biostatistics, or a closely related field
  • Demonstrated experience with quantitative modeling (e.g., occupancy or hierarchical models), statistical programming (R, Python, Javascript, julia), and reproducible workflows (version control, documented code, and data management).
  • Demonstrated ability to conduct field work in variable conditions, coordinate multi-site sampling, and train/supervise students safely and effectively.
  • Evidence of independent research productivity (peer-reviewed publications), effective scientific writing, and oral communication skills.
  • Experience conducting field research in wildlife ecology is required, including study design, data collection, and adherence to biosafety and animal handling protocols.
  • Demonstrate strong organizational skills, meticulous data management practices, and the ability to coordinate multi-site research activities.

Preferred Qualifications
  • Experience in one or more of the following: camera-trap study design and analysis; small-mammal and bird live-trapping, handling, and biosafety; tick collection from life hosts, host blood draw, and identification workflows
  • Spatial analysis and GIS (e.g., raster/vector processing, habitat covariates, spatial prediction) Bayesian hierarchical modeling and/or advanced occupancy modeling (multi-species and/or dynamic)
  • Experience accessing biodiversity data via APIs and integrating heterogeneous open datasets while meeting attribution/terms requirements (e.g., eBird).
  • Experience in mentoring graduate or undergraduate students in research

Work Environment
Bridgewater State University complies with the Americans with Disabilities Act (ADA) to provide reasonable accommodation to qualified applicants and employee with disabilities. To request a reasonable accommodation for the application process, please complete and submit this electronic form: https://cm.maxient.com/reportingform.php?BridgewaterStateUniv&layout_id=18
Special Conditions for Eligibility
Please be aware that employment at Bridgewater State University is contingent upon completion of a successful background check. Bridgewater State University is an E-Verify employer.
This position is not eligible for H-1B sponsorship.
EEO Statement
Bridgewater State University is an equal employment opportunity employer and considers all qualified candidates without regard to race, color, religion, sex, age, national origin, disability status, veteran status, gender identity, sexual orientation, genetic information, pregnancy or pregnancy-related condition or any other characteristic protected by law.
Position Type
APA Professional
Salary Range
$65,000-$70,000
Posting Detail Information
Posting Number
S01339P
Open Date
07/07/2026
Application Review Start Date
Close Date
08/23/2026
Open Until Filled
No
Special Instructions to Applicants
Please note the following information is required to complete your application for this position:
* A minimum of three (3) professional reference entries in space provided on the application form.
* Resume/CV
* Cover Letter - In the cover letter, applicants should explicitly address:
(1) their experience in wildlife biology,
(2) their proficiency in statistical and geospatial modeling, and
(3) their experience mentoring graduate (M.S.) and undergraduate students.