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Assistant Data Scientist Jobs in Rhode Island (NOW HIRING)

Stryker

$35/hr

... * Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI ... Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program ...

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Stryker

$35/hr

... * Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI ... Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program ...

New

Stryker

$35/hr

... * Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI ... Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program ...

New

Stryker

$35/hr

... * Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI ... Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program ...

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All JobsData Scientist JobsAssistant Data Scientist JobsAssistant Data Scientist Jobs in Rhode Island

Assistant Data Scientist information

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$45K

$161.6K

$238.5K

How much do assistant data scientist jobs pay per year?

As of Sep 6, 2026, the average yearly pay for assistant data scientist in Rhode Island is $161,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,700.00 and $166,500.00 per year, depending on experience, location, and employer.

What is an assistant data scientist?

Assistant Data Scientists are entry-level professionals who support data science teams by assisting with data collection, cleaning, analysis, and visualization. They help prepare datasets, build simple models, and generate reports under the supervision of senior data scientists. This role offers hands-on experience with data science tools and methods, making it a valuable starting point for those aiming to advance in the field. Assistant Data Scientists typically work in industries like technology, healthcare, finance, and retail, contributing to data-driven decision making.

How does an assistant data scientist typically collaborate with other team members on data projects?

As an Assistant Data Scientist, you’ll frequently work alongside data engineers, senior data scientists, and business analysts to support larger analytics projects. You may be responsible for preparing datasets, cleaning data, and running initial analyses under the guidance of more experienced colleagues. Collaboration often involves regular team meetings, sharing code via version control systems, and providing updates on your progress. This teamwork helps ensure project goals are met efficiently and provides opportunities to learn from others and develop your technical skills.

What are the key skills and qualifications needed to thrive as an assistant data scientist, and why are they important?

To thrive as an Assistant Data Scientist, you need a solid understanding of statistics, data analysis, and programming skills in languages like Python or R, often supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), version control systems like Git, and experience with databases are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data and explain findings to diverse stakeholders. These skills are vital for extracting actionable insights from complex datasets and contributing meaningfully to data-driven decision-making.

What is the difference between Assistant Data Scientist vs Data Scientist?

AspectAssistant Data ScientistData Scientist
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some experienceMaster's or PhD in Data Science, Statistics, or related field; extensive experience
Work EnvironmentSupportive, entry-level team environment, often supervisedIndependent or team-based projects, more responsibility
Employer & Industry UsageEntry-level roles in tech, finance, healthcare, and consultingSenior roles across similar industries, often leading projects

Assistant Data Scientists typically have foundational skills and support data teams, while Data Scientists handle complex analysis and lead projects. The roles differ mainly in experience level, responsibility, and expertise required, with Assistant Data Scientists serving as a stepping stone to becoming Data Scientists.

Is an assistant data scientist job still in demand?

Assistant data scientist roles remain in demand as organizations continue to prioritize data analysis and machine learning skills. These positions often require proficiency in programming languages like Python or R and knowledge of data visualization tools, with demand driven by growth in data-driven decision making across industries.

What are the most commonly searched types of Data Scientist jobs in Rhode Island?

The most popular types of Data Scientist jobs in Rhode Island are:

What are popular job titles related to Assistant Data Scientist jobs in Rhode Island?

For Assistant Data Scientist jobs in Rhode Island, the most frequently searched job titles are:

What job categories do people searching Assistant Data Scientist jobs in Rhode Island look for?

The top searched job categories for Assistant Data Scientist jobs in Rhode Island are:

Assistant Data Scientist jobs near you

Data Scientist

Indotronix International Corporation

Woonsocket, RI • On-site

Full-time, Contractor

Posted 9 days ago

Key responsibilities

  • Lead full-cycle development of AI models, including data analysis, model building, training, and refinement.

  • Analyze call center interactions to identify service drivers, efficiency gaps, and opportunities for digital self-service.

  • Collaborate with cross-functional teams to operationalize analytical outputs into dashboards and reusable assets.

Job description

Senior Data Scientist - Call Center Innovation Lab (Remote, Contract to Hire)
About the Role
Join our fast-paced Call Center Innovation Lab as a Senior Data Scientist and drive large-scale transformation in customer experience and digital self-service across Aetna. You'll work remotely, collaborating with passionate teams to extract actionable insights from call transcripts and unstructured data using the latest NLP, LLMs, and transformer models. This is a unique opportunity to shape enterprise-wide solutions, expand model coverage, and play a pivotal role in building scalable frameworks that directly impact business outcomes.
Responsibilities
- Lead full-cycle development of AI models: from raw text data analysis to model building, training, and iterative refinement.
- Analyze call center interactions to uncover service drivers, efficiency gaps, and digital self-service opportunities.
- Apply NLP, LLMs, and GenAI techniques to extract insights from large-scale call transcripts and related text data.
- Design, implement, and evaluate pilots, experiments, and quasi-experiments to quantify business impact.
- Translate complex analytics into clear, actionable recommendations for both technical and senior business stakeholders.
- Collaborate with cross-functional teams, including Digital SMEs and Data Engineering partners, to operationalize analytical outputs into dashboards and reusable assets.
- Synthesize stakeholder requirements and clearly communicate model capabilities, ROI, and business value.
- Expand existing solutions to support multiple business lines and develop new model types to extract novel insights.
Required Skills and Experience
- Minimum 3 years in data science, advanced analytics, or similar roles with end-to-end model delivery experience.
- Hands-on proficiency in SQL and Python for analysis and modeling.
- Deep expertise with NLP, LLMs, or GenAI applied to text/conversational data (call transcripts, chat logs).
- Experience designing and analyzing experiments, pilots, or A/B tests, converting results into business actions.
- Demonstrated strength in developing scalable analytical assets (frameworks, dashboards, scorecards).
- Excellent communication skills for translating technical outcomes into business value for diverse audiences.
- Proven ability to work independently and cross-functionally in dynamic, fast-moving environments.
- Familiarity with version control systems (e.g., Git) and modern data workflows.
Preferred Skills
- Experience with call center, virtual assistant, or contact center data.
- Familiarity with Google Cloud Platform (GCP), Vertex AI, or equivalent enterprise AI platforms.
- Background in digital, customer interaction, or call center analytics.
- Ability to clearly articulate technical tradeoffs and business impact to senior leadership.
- Master's degree in Computer Science, Engineering, Analytics, Statistics, or related quantitative field.
Benefits
- Remote, flexible work environment with leading-edge AI projects.
- Direct impact on digital transformation at enterprise scale.
- Opportunity to expand AI/ML skills with advanced NLP and LLMs.
- Collaborative culture with high visibility to business and technical leadership.
- Contract to hire - potential pathway to full-time employment with a Fortune 500 organization.
How to Apply
Ready to drive innovation and build the next generation of AI-powered solutions? Submit your application with your updated resume detailing relevant experience in NLP, LLMs, and data science. We are seeking independent, impact-driven professionals eager to make a measurable difference. Background check and drug screening required.
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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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