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Entry Level Data Science Jobs in Rhode Island (NOW HIRING)

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Entry Level Data Science information

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$10

$18

$26

How much do entry level data science jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for entry level data science in Rhode Island is $18.66, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $20.96 per hour, depending on experience, location, and employer.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to build experience.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining practical experience by working on personal projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning libraries can help demonstrate your abilities to employers.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or internships can improve your chances of securing such roles.
What are the most commonly searched types of Data Science jobs in Rhode Island? The most popular types of Data Science jobs in Rhode Island are:
What are popular job titles related to Entry Level Data Science jobs in Rhode Island? For Entry Level Data Science jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Rhode Island look for? The top searched job categories for Entry Level Data Science jobs in Rhode Island are:
What cities in Rhode Island are hiring for Entry Level Data Science jobs? Cities in Rhode Island with the most Entry Level Data Science job openings:
Assistant Professor of the Practice: Math/Deep Learning

Assistant Professor of the Practice: Math/Deep Learning

Brown University

Providence, RI • On-site

Full-time

Posted 19 days ago


Brown University rating

7.8

Company rating: 7.8 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

192nd of 536 rated colleges and universities


Job description

Description
The Data Science Institute (DSI) at Brown University is seeking to hire an Assistant Professor of the Practice of Data Science. (Professors of the Practice are faculty who are hired to enhance Brown's pedagogical mission and whose qualifications are earned primarily through professional experience rather than scholarly credentials.) The initial appointment would be for a 3-year period, renewable with potential for promotion and longer-term appointments based on performance and need. This in-person position includes teaching in our in-person Data Science Master's program and the online Master of Science in Data Science: Policy, Governance & Society, advising, and additional responsibilities.
The Assistant Professor of the Practice should have a solid background in mathematics (linear algebra, calculus), Deep Learning, Generative AI, Large Language Models, and potentially Machine Learning Operations. The incumbent will teach a Deep Learning course (currently offered by the CS Department as CSCI1470/2470), a new mandatory course on Gen AI and LLMs, and an elective course on ML Ops. All three courses are offered within the in-person master's program. This candidate will also offer an online summer course for the incoming master's students to teach/review the required linear algebra, calculus, stats/probability, and python coding required to succeed in these challenging courses.
Qualified candidates will have experience mentoring entry-level data scientists or master's/undergraduate students to develop career pathways. We seek candidates who will contribute to our overall intellectual culture; these positions will be included in faculty meetings, can advise undergraduate research projects, and can participate in graduate research with the rest of the faculty.
Founded in 1764, Brown University is a leading nonprofit research university based in Providence, Rhode Island. It is home to world-renowned faculty, and also an innovative educational institution where the curiosity, creativity and intellectual joy of students drives academic excellence.
The DSI serves Brown University as a campus hub for research and education in data science. Engaging partners across campus and beyond, DSI facilitates and conducts both domain-driven and fundamental research in data science, educates the next generation of data scientists, and explores the impact of the data revolution on culture, society, and social justice. Diversity, equity, and inclusion are integral to the commitment of the Data Science Institute and Brown University.
Qualifications
In selecting candidates, we will consider an experienced track record of being the primary instructor in data science related courses and/or relevant work experience in industry and managing a data science team; evidence of effective teaching; evidence of effective mentoring; and compatibility with the area needs and interests of the DSI, as well as potential for effective participation in DSI or university activities. For all applicants, we will consider potential for impact beyond Brown (through teaching, significant system building, outreach, or other professional activities, as appropriate for the candidate). A strong record of industry experience is required, advanced degree preferred.
NOTE: For this position, Brown does not sponsor the H-1B visa classification to scholars who need immigration sponsorship in order to enter the U.S. and commence lawful employment under the terms of their appointment.
Application Instructions
Applicants should submit a CV or resume, a teaching statement (outlining their approach to teaching and learning; this can include discussion of relevant experience outside the classroom), a statement about how they would contribute to the research and/or teaching missions of our diverse and inclusive university community, and the contact info of three professional references who could write a recommendation letter if the candidate is short-listed. Applications will be reviewed starting Januart 15, 2026; we will accept applications until the position is filled.

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