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Data Science Associate Jobs in Woonsocket, RI (NOW HIRING)

Lennar

Lead Machine Learning Engineer - REMOTE

Boston, MA · On-site +1

$111K - $146K/yr

... Associates throughout their career. Lennar has been recognized as a Fortune 500 ® company and ... This is a key role on the Applied AI & Data Science team, sitting at the intersection of software ...

Pwc

US Tech - AI Engineering Senior Associate

Boston, MA · On-site

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a Senior Associate you will analyze complex problems, mentor others, and maintain elevated ...

UNFI

Manager, IT Data Products-Remote

Providence, RI · On-site +1

Bachelor's degree in the field of data science, computer science, information systems, or software ... Remote associates are welcome to work from the office but are not required to do so. While remote ...

thg

Senior Data Engineer (HYBRID in MA or REMOTE)

Worcester, MA · On-site +1

$105K - $143K/yr

Data engineering is the aspect of data science that focuses on practical applications of data ... Azure Data Engineer Associate) or equivalent. Other Azure DP certifications or equivalents are also ...

Pwc

Data Engineer - Senior Manager

Boston, MA · On-site

$124K - $280K/yr

... Associate] is a plus - Designing and implementing thorough data architecture strategies ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

SS&C

Manager, Private Markets Data Services

Boston, MA · Hybrid

$115K - $165K/yr

Providing training, oversight, and mentorship to Associates * Supporting corporate goals and business/departmental initiatives Required Experience * A Bachelor's degree focused on Data Science ...

Kraft Soccer LLC

Platform Delivery Associate

Foxboro, MA · On-site

$76K - $89K/yr

Platform Delivery Associate KAGR - Foxborough, MA 02035 Overview Salary Range $76,500.00 - $89,000 ... data science, and business stakeholders * Demonstrated experience managing the full Software ...

KPMG

Associate, AI Engineer

Boston, MA · On-site +1

KPMG is currently seeking an Associate, AI Engineer to join our Consulting practice ... Bachelor's degree from an accredited college or university in computer science, data science ...

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Data Science Associate information

See Woonsocket, RI salary details

$55.1K

$65.2K

$123.6K

How much do data science associate jobs pay per year?

As of Jul 8, 2026, the average yearly pay for data science associate in Woonsocket, RI is $65,196.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $57,000.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to enhance their skills for more advanced roles.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What are the most commonly searched types of Data Science jobs in Woonsocket, RI? The most popular types of Data Science jobs in Woonsocket, RI are:
What cities near Woonsocket, RI are hiring for Data Science Associate jobs? Cities near Woonsocket, RI with the most Data Science Associate job openings:
Data Science Associate jobs near you
Quantitative Research and Strategy, Healthcare AI Associate

Quantitative Research and Strategy, Healthcare AI Associate

RA Capital Management, LLC

Boston, MA • On-site

Other

Posted 20 days ago

Job description

The Quantitative Research & Strategy (QRS) team within RA Capital helps inform investment decisions and improve core processes with data-driven analyses. The team focuses on three core areas: portfolio management, risk management, and data science. They leverage complex datasets to uncover insights related to trends, patterns, and key drivers within the healthcare and financial landscapes. The team operates on a wide variety of projects in a fast-paced environment; often collaborating across teams (Invest, Venture, Legal, Finance, Compliance, TechAtlas, etc) and working directly with senior leadership & portfolio managers.

About the Role
As an Associate within the QRS team, you will be working on diverse quantitative and qualitative analytical problems requiring you to: 

  • Designing and building systems to transform unstructured data into usable, structured representations (e.g., knowledge graphs, embeddings, and linked datasets) that can be queried and analyzed by the investment team.
  • Developing and deploying AI-driven workflows (e.g., LLM pipelines, retrieval systems, entity extraction, relationship mapping) to surface relevant insights from large corpora of text and other unstructured sources.
  • Collaborate with the investment team to integrate data-driven insights into investment strategies. 
  • Combine insights from healthcare data, financial information, and data analytics into cohesive stories and actionable narratives for RA's investing team. 
  • Develop dashboards and visualizations to communicate findings effectively. 
  • Ensure data quality and integrity by implementing best practices in data collection, processing, and storage. 


Key Requirements

We are looking for curious, intelligent, and driven individuals with a strong interest in the intersection of healthcare, financial markets and data science, capable of delivering results in a timely manner and at the highest levels of quality. All applicants must meet the following criteria to be considered:

  • Must be authorized to work in the United States. 
  • Must have a Bachelors (or higher) in a STEM or finance/economics degree. 
  • Must have 2+ years of experience working with unstructured data in AI systems.
  • Experience designing and implementing systems for unstructured data, such as:
    • Natural language processing (NLP) workflows
    • Knowledge graphs or graph-based data models
    • Vector databases / embedding-based retrieval systems
    • Entity extraction, linking, and relationship mapping
  • Familiarity with modern AI/LLM tooling (e.g., retrieval-augmented generation, prompt pipelines, evaluation frameworks) and an understanding of their limitations in high-stakes settings.
  • Experience working with Spark (pyspark), SQL, and Python.
  • Must be curious, flexible, and able to adapt quickly to changing projects and priorities.
  • Must be based in Massachusetts (consideration will be given to applicants who are willing and able to relocate to MA).
  • Must be able to work on a hybrid schedule out of our Boston office
  • Must be authorized to work in the United States without sponsorship (or transfer of sponsorship)

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