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Data Science Entry Jobs in Rhode Island (NOW HIRING)

Administrative Assistant (Data Centers)

Providence, RI ยท On-site

$18.25 - $24.50/hr

... scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that ... in the data entry for staffing plans * Coordinate departmental meetings, including agenda ...

Sr. Research Assistant

Providence, RI ยท On-site

$48K - $79K/yr

Participates in the design of experimental protocols to achieve the scientific objectives to allow ... Data entry skills and PC experience required.While most duties are performed in an office ...

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Data Science Entry information

See Rhode Island salary details

$10

$19

$27

How much do data science entry jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for data science entry in Rhode Island is $19.07, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $21.44 per hour, depending on experience, location, and employer.

How do I become a data scientist with no experience?

To become a 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 hands-on experience with projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning frameworks can help demonstrate your abilities to employers.

Can I work a data entry job with no experience?

Data entry jobs typically require basic computer skills and attention to detail but often do not require prior experience. Many employers offer entry-level positions that provide on-the-job training, making it possible to start without previous experience. Familiarity with tools like spreadsheets and data management software can be helpful.

What types of projects can entry-level data scientists expect to work on, and how do these projects support team goals?

As an entry-level data scientist, you will typically work on projects such as data cleaning, exploratory data analysis, building simple predictive models, and creating data visualizations. These tasks are foundational and help support the broader team by preparing datasets, uncovering actionable insights, and ensuring data quality. You'll often collaborate with more experienced data scientists, engineers, and business analysts, contributing to larger projects and gradually taking on more responsibility as you gain experience. This collaborative environment helps you learn best practices and understand how your work impacts the organization's objectives.

What are Data Science Entry jobs?

Data Science Entry jobs are positions designed for individuals who are new to the field of data science, often recent graduates or career changers. These roles typically involve working with data to extract insights, performing basic data cleaning, exploratory analysis, and supporting more senior data scientists. Entry-level data scientists may use tools like Python, R, SQL, and data visualization platforms. The goal is to build foundational skills in data analysis, statistics, and machine learning while contributing to projects under supervision.

Is it possible to get a data science 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, candidates typically need relevant coursework, projects, or certifications to demonstrate their skills to employers.

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 solid foundation in statistics, programming (typically Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with tools like SQL, data visualization platforms (e.g., Tableau), and machine learning frameworks (such as scikit-learn or TensorFlow) is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you translate complex data insights into actionable business recommendations. These competencies are crucial for extracting value from data, driving informed decisions, and succeeding in collaborative, data-driven environments.

Is 40 too late for data science?

Data science entry-level roles do not have an age limit, and many professionals start careers in their 30s or later. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.
What are popular job titles related to Data Science Entry jobs in Rhode Island? For Data Science Entry jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Data Science Entry jobs in Rhode Island look for? The top searched job categories for Data Science Entry jobs in Rhode Island are:
Java/Backend developer - Junior/Entry

Java/Backend developer - Junior/Entry

SynergisticIT

Pawtucket, RI โ€ข On-site

Other

Posted 24 days ago


Job description

Interviews and Job offers? Let's make it happen with a Process which works
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