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Data Scientist Data Jobs in Woonsocket, RI (NOW HIRING)

We are seeking a talented Data Scientist to join our team of researchers. The ideal candidate will have a strong foundation in machine learning and statistics with an interest in causal inference. A ...

The Role As a Senior Data Scientist , you will help research, develop, and integrate cutting-edge models and technologies into production systems that solve critical national security problems.

New

Senior Data Scientist

Boston, MA · Hybrid

$95K - $166K/yr

As a Senior Data Science at Nasdaq, you will join a specialized team of AI researchers pushing the boundaries of AI innovation towards enhancing market transparency, efficiency, and integrity. You ...

Senior Data Scientist

Boston, MA · On-site

$95K - $166K/yr

As a Senior Data Science at Nasdaq, you will join a specialized team of AI researchers pushing the boundaries of AI innovation towards enhancing market transparency, efficiency, and integrity. You ...

ERG's Clean Transportation Group is seeking a Transportation Data Scientist to join our dynamic team focused on the analysis and modeling of activity and emissions of on-road vehicles as well as off ...

ERG's Clean Transportation Group is seeking a Transportation Data Scientist to join our dynamic team focused on the analysis and modeling of activity and emissions of on-road vehicles as well as off ...

ERG's Clean Transportation Group is seeking a Transportation Data Scientist to join our dynamic team focused on the analysis and modeling of activity and emissions of on-road vehicles as well as off ...

Industry/Sector Not Applicable Specialism Data Science Management Level Manager & Summary The Opportunity As an AI Data Scientist Manager, you will play a pivotal role within our Data and Analytics ...

Ameriprise Financial is looking to add a Senior Data Scientist to the team! The individual in this role will support modeling, data analysis, and database needs for the assigned line of business ...

Data Scientist III - FCRM

Boston, MA · On-site

$96K - $155K/yr

The Data Scientist III provides technical leadership across the overall Analytics function which may have an enterprise mandate. This role generally provides deep technical knowledge and expertise in ...

As a Staff Data Scientist, you will be a key technical leader responsible for shaping the strategy, development, and deployment of scalable, reliable, and innovative AI/GenAI and machine learning ...

Showing results 21-40

Data Scientist Data information

See Woonsocket, RI salary details

$44.1K

$158.1K

$233.3K

How much do data scientist data jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data scientist data in Woonsocket, RI is $158,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,900.00 and $162,900.00 per year, depending on experience, location, and employer.

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

AspectData Scientist DataData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; often includes certifications in machine learning or data analysis toolsDegree in Statistics, Mathematics, or related fields; certifications in data visualization or analysis tools are common
Work EnvironmentDevelops predictive models, advanced analytics, and machine learning algorithms; often in R&D or data science teamsPrepares reports, visualizations, and interprets data for business decisions; typically in business intelligence teams
Employer & Industry UsageUsed across tech, finance, healthcare, and e-commerce industries for complex data modelingCommon in retail, marketing, finance, and healthcare for reporting and data interpretation

While both roles analyze data, Data Scientist Data focuses on building predictive models and advanced analytics, whereas Data Analysts primarily interpret data and generate reports for decision-making. The roles often overlap but differ in complexity and scope.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights and build predictive models using statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning frameworks. They often work closely with stakeholders to inform business decisions and require strong analytical, coding, and communication skills.

What are popular job titles related to Data Scientist Data jobs in Woonsocket, RI?

For Data Scientist Data jobs in Woonsocket, RI, the most frequently searched job titles are:

What job categories do people searching Data Scientist Data jobs in Woonsocket, RI look for?

The top searched job categories for Data Scientist Data jobs in Woonsocket, RI are:

Senior Data Scientist

PhaseV

Boston, MA • On-site

Full-time

Re-posted 19 days ago


Job description

Company Overview:

PhaseV (HQ in Boston, R&D in Tel Aviv) is a cutting-edge startup, pushing innovation in the drug development process to bring new treatments to more patients, in a more efficient and precise way. Leveraging the power of advanced causal inference and pushing the boundaries of machine learning, PhaseV detects hidden signals in clinical data and extracts actionable insights for planning the optimal trial. The company's proprietary ML-based platform for adaptive clinical trial design and closed-loop execution enables sponsors to easily and quickly unlock the potential of adaptive clinical trials, reveal the optimal adaptive design to meet their trial objectives and execute more efficient, more precise, and more successful clinical trials. Collaborating with 7 of the top pharmaceutical companies, as well as multiple CROs and biotechs, we are poised to make a significant impact on how drugs are developed and brought to market.

Position Overview:

We are seeking a talented Data Scientist to join our team of researchers. The ideal candidate will have a strong foundation in machine learning and statistics with an interest in causal inference. A couple of recent preprints we've released to get a sense of the challenges:

  • Causal Responder Detection (https://arxiv.org/abs/2406.17571)
  • Robust CATE Estimation Using Novel Ensemble Methods. (https://arxiv.org/abs/2407.03690)

Key Responsibilities:

Technical Development:

  • Implement and optimize ML algorithms, with a focus on causal ML applications in clinical trials
  • Collaborate with senior data scientists to develop and improve our analytical platforms
  • Work alongside clinical and biological experts to translate complex problems into technical solutions

Research & Analysis:

  • Conduct rigorous statistical analyses of both randomized and observational data
  • Develop and validate methods for responder identification and treatment effect estimation
  • Document and present methodologies and results for internal and external stakeholders

Collaboration:

  • Work cross-functionally with engineering and product teams
  • Contribute to technical discussions and peer code reviews
  • Support the preparation of technical documentation and research papers

Qualifications:

Education:

  • Master's in Computer Science, Statistics, Data Science, Engineering or a related field
  • Ph.D. is an advantage but not required

Experience:

  • 3+ years of experience in data science or machine learning roles
  • Experience with ML in a practical research or industry setting
  • Background in statistical modeling and analysis

Skills:

  • Strong programming skills in Python (R in addition - an advantage)
  • Proficiency in statistical analysis and machine learning
  • Experience with data visualization and communication of technical concepts
  • Strong analytical and problem-solving skills

Preferred:

  • Familiarity with causal inference concepts
  • Experience in healthcare or biotech industry
  • Experience with large-scale data processing

What We Offer:

  • Join us on a mission to bring more effective drugs to more patients.
  • The opportunity to work with an amazing team passionate about making a real-world impact.
  • Extremely hard and diverse problem setting, in which the team is pushing the envelope.
  • A collaborative and dynamic startup environment.
  • Professional growth and development opportunities.