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Data Science Jobs in Needham, MA (NOW HIRING)

Chubb

SVP, PRS - Data Science

Boston, MA · On-site

$249K - $333K/yr

The successful candidate is a seasoned leader with expertise data science and model development and management. This position will be primarily responsible for personal lines product such as ...

Chubb

SVP, PRS - Data Science

Boston, MA

The successful candidate is a seasoned leader with expertise data science and model development and management. This position will be primarily responsible for personal lines product such as ...

PaxeraHealth

Data Science Developer

Newton Center, MA · Remote

The Data Science Developer is responsible for understanding the business problems, identifying/applying the right AI or cognitive computing technologies to solve problems, and is involved in the ...

Biogen

Associate Director, AI/Data Science

Cambridge, MA · On-site

$176K - $242K/yr

This role will shape data science strategy, develop and evaluate AI/ML solutions, and partner across research & development leaders to transform how data is used to improve decision-making ...

Biogen

Associate Director, AI/Data Science

Cambridge, MA · On-site

$176K - $242K/yr

This role will shape data science strategy, develop and evaluate AI/ML solutions, and partner across research & development leaders to transform how data is used to improve decision-making ...

Lutron Electronics Co., Inc

Data Scientist

Boston, MA · On-site

$120K/yr

Contribute to end-to-end data science projects that improve product performance, customer experience, and operational efficiency, applying your strong analytical thinking and problem-solving skills.

Lutron Electronics Co., Inc

Data Scientist

Boston, MA · On-site

$120K - $135K/yr

Contribute to end-to-end data science projects that improve product performance, customer experience, and operational efficiency, applying your strong analytical thinking and problem-solving skills.

Veridic Solutions

Data scientist

Boston, MA · On-site

Responsibilities : • build scalable, re-usable data science products • carry out analyses to yield actionable business insights • inform their statistical or machine learning approaches ...

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All JobsData Science JobsData Science Jobs in Needham, MA

Data Science information

See Needham, MA salary details

$40.9K

$133.7K

$214.1K

How much do data science jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data science in Needham, MA is $133,707.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,300.00 and $148,200.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Needham, MA? The most popular types of Data Science jobs in Needham, MA are:
What are popular job titles related to Data Science jobs in Needham, MA? For Data Science jobs in Needham, MA, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Needham, MA look for? The top searched job categories for Data Science jobs in Needham, MA are:
What cities near Needham, MA are hiring for Data Science jobs? Cities near Needham, MA with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Needham, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 79% In-person, 4% Hybrid, and 17% Remote job distribution, with an average salary of $133,707 per year, or $64.3 per hour.

SVP, PRS - Data Science

Chubb

Boston, MA • On-site

$249K - $333K/yr

Full-time

Re-posted 8 days ago

Chubb rating

8.2

Company rating: 8.2 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

141st of 301 rated insurance

Job description


North America Insurance is Chubb's largest division comprising commercial and consumer P&C insurance businesses in the United States, Canada, and Bermuda. The successful candidate is a seasoned leader with expertise data science and model development and management. This position will be primarily responsible for personal lines product such as Homeowners and Auto. Although pricing will be a heavy focus, this position will also work with other forms of models, e.g. underwriting models, customer segmentation, lifetime value, customer journey, and operational analytics.
Responsibilities:
As part of the North America Data & Analytics leadership team you will be responsible for working collaboratively with business unit leaders to achieve ambitious business plans through talent development and placement. Drive adoption, change, and increase the level of insight and intelligence available to the product team, UWs, and others, through:
The successful candidate is a seasoned leader with deep expertise in data science, model development, and management. This role is primarily responsible for advancing Personal Lines products, including Homeowners and Auto. Functional capabilities of the position encompass work owning and driving successful completion of underwriting models, customer segmentation, lifetime value, customer journey analytics, and as well helping to shepherd the deployment of AI technologies.
Reporting lines are to the Executive Vice President, Data and Analytics, N.A. and to the EVP, PRS Finance Product and Analytics Officer.
As the SVP Data Scientist for Personal Lines (PRS), you will:
  • Collaborate with business partners to design end-to-end processes that solve business challenges
  • Lead a team of Data Engineers and Data Scientists to execute analytical projects and communicate results to senior leaders, with a focus on PRS
  • Coach and mentor junior and senior Data Scientists on technical skills and career development
  • Serve as a thought leader and strategy lead for the Data Science discipline within PRS
  • Shape hiring, retention, and placement strategies for Personal Lines data scientists
  • Advise on upskilling, tools, and platforms for the PRS data science workforce
  • Provide thought leadership on data modeling and modeling techniques
  • Enable expanded modeling capabilities and variable exploration within the PRS ecosystem
  • Enhance customer, distribution, and digital intelligence
  • Deepen insights aligned with strategic plan objectives
  • Expand customer lifetime value analytics
  • Utilize AI and third-party data to optimize the Valuables business
  • Improve insured-to-value insights and modeling
  • Support PRS opportunity geography insights and strategy

Qualifications
  • 10+ years of experience in Data and Analytics leadership, or as a Data Science leader
  • Bachelor's degree or equivalent work experience; Master's degree preferred
  • Expertise in advanced and emerging analytical tools, such as web scraping, machine learning models, and knowledge graphs
  • Experience providing data-driven consultation to business unit leaders, either internally or as an external consultant
  • Background in developing analytics products, including querying tools, dashboards, applications, and business insights
  • Demonstrated ability in Data Science solution delivery
  • Strong ability to set execution plans, monitor progress, and drive actions for successful outcomes across asset development and deployment phases
  • Excellent communication skills and insurance knowledge; pricing experience required
  • Proven track record managing competing priorities with multiple deliverables and deadlines
  • Experience working with interdisciplinary teams, particularly in leadership roles, to achieve project completion and establish productive relationships with stakeholders
  • Prior management experience required
  • Prior working experience with R and Python is essential; familiarity with SAS, SQL, Radar, and QlikView is a plus
  • Strong verbal and written communication skills; ability to present complex issues in a manner easily understood by non-technical audiences
  • Creative problem solver with the ability to quickly identify and resolve errors through collaborative solutions

The pay range for the role is $249,000 to $333,000. The specific offer will depend on an applicant's skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.
About Us
Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.
At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.

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About Chubb

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Chubb is the world's largest publicly traded property and casualty insurer. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. We are a unique global organization with a culture of individuals passionately committed to our respective crafts. With underwriting at our core, each of us contributes to providing the best insurance coverage and service to our clients. Our highly collaborative, inclusive nature helps us drive better business outcomes through diversity of background, experiences, insights and values.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Warren, NJ, US

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