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Remote Machine Learning Jobs in Cranston, RI (NOW HIRING)

Sr Manager, Data Science

Woonsocket, RI · On-site +1

$140K - $260K/yr

Hybrid position: remote work permitted but must live within commuting distance of designated office ... Machine learning, statistical analysis, and predictive modeling; Programming in R, Hadoop, or ...

(Remote) Senior Software Engineer

Carolina, RI · Remote

$123K - $162K/yr

This remote role welcomes candidates anywhere in the US. Salary: 110K - 135K What your impact will be: * Design, construct, test, and debug technical solutions in compliance with engineering ...

(Remote) Senior Software Engineer

Carolina, RI · Remote

$123K - $162K/yr

This remote role welcomes candidates anywhere in the US. Salary: 110K - 135K What your impact will be: * Design, construct, test, and debug technical solutions in compliance with engineering ...

Enterprise Data Analyst II

Carolina, RI · Remote

$140K - $181K/yr

Overview This is a remote role that may be hired in several markets across the United States. This position supports initiatives within the Bank that improve enterprise data quality, governance, and ...

Showing results 21-40

Remote Machine Learning information

See Cranston, RI salary details

$24.9K

$41.6K

$86.1K

How much do remote machine learning jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote machine learning in Cranston, RI is $41,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,800.00 and $45,000.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

What are popular job titles related to Remote Machine Learning jobs in Cranston, RI?

For Remote Machine Learning jobs in Cranston, RI, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in Cranston, RI look for?

The top searched job categories for Remote Machine Learning jobs in Cranston, RI are:

What cities near Cranston, RI are hiring for Remote Machine Learning jobs?

Cities near Cranston, RI with the most Remote Machine Learning job openings:

Infographic showing various Remote Machine Learning job openings in Cranston, RI as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 27% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $41,650 per year, or $20 per hour.

Sr Manager, Data Science

CVS Health

Woonsocket, RI • On-site, Remote

$140K - $260K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,359 frontline employees who took The Breakroom Quiz

92nd of 113 rated pharmacies


Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Caremark LLC, a CVS Health Company, is hiring for the following role in Woonsocket, RI: Sr. Manager Data Science to: Leads data science team to develop insights from data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, including predictive analysis, business intelligence, pattern recognition, operational effectiveness and/or economic forecasting. Duties include: Leads team to develop insights from data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, including predictive analysis, business intelligence, pattern recognition, operational effectiveness and/or economic forecasting. Directs activities of data scientists, providing guidance, mentorship, and performance management to drive excellence in data science projects and deliverables. Defines data science strategies, methodologies, and best practices to solve complex healthcare challenges and drive innovation. Counsels the team in data exploration, analysis, and modeling techniques to derive actionable insights and inform healthcare decision-making processes. Directs activities of data science projects, including resource allocation, budget management, and timeline adherence, ensuring successful project execution. Analyzes organization to strategize and identify opportunities to leverage advanced analytics, machine learning, and artificial intelligence in healthcare applications. Advises senior leadership and stakeholders on data-driven strategies
and solutions, providing insights and recommendations based on data analysis. Collaborates with multiple departments, including clinicians, researchers, and Information Technology (IT) professionals, to define project objectives, scope, and deliverables. Manages team performance through regular, timely feedback as well as the formal performance review process to ensure delivery of exceptional services and engagement, motivation, and team development. Delivers a culture of learning and growth within the data science team, fostering collaboration, knowledge sharing, and professional development opportunities. Hybrid position: remote work permitted but must live within commuting distance of designated office location and remain available to report to office as needed and required. Multiple positions.

Requirements: Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field and two (2) years of experience in the job offered or related
occupation. Position requires two (2) years of experience in each of the following:

Analyzing large data sets from multiple data sources;
Analytics experience within the retail and/or healthcare industries;
Machine learning, statistical analysis, and predictive modeling;
Programming in R, Hadoop, or Python;
R, Python, or SQL;
SAS or SQL programming languages;
Visualization tools, including PowerBI or Tableau;
Coding in Python, R, SAS, Julia, Gurobi, or CPLEX;
Designing data models and solutions for analytical and reporting use cases; and Machine Learning or NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP).


Position requires at least one (1) year in each of the following:
Team supervision, including assessing employees performance, providing feedback and training to improve work quality;
Development of quality assurance standard to ensure compliance meets industry standards; and

Provide analysis and proposals for improvements to existing methods, systems and procedures such as operations, communications & report management.

Pay Range: $140650.00/year to $260590.00/year.

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company's 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off ("PTO") or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.
Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

This job does not have an application deadline, as CVS Health accepts applications on an ongoing basis.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.


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