ZipRecruiter

Log In

1

Data Extraction Jobs in Boston, MA (NOW HIRING)

Ameriprise Financial

Senior Data Scientist

Boston, MA · On-site

Perform dataset creation including data extraction, derived and dependent variable creation, and data quality control processes for analytics, model development, and validation. * Monitor execution ...

Deloitte

M&A Data Analytics Manager

Boston, MA · On-site

Experience in ETL tools for data extraction and manipulation (e.g., Alteryx, etc.) * Experience designing and storytelling via data visualization (e.g., Tableau, Power BI, Excel Charts, etc.

Monster Worldwide

Data Architect

Weston, MA · Hybrid

$68.75 - $88.50/hr

Expert knowledge in dimensional data modeling, ETL processes, data integration applications and business intelligence tools. SAP Business Objects and Tableau a plus. * Interacts with OLTP systems and ...

previous page

Showing results 41-60

All JobsData Extraction JobsData Extraction Jobs in Boston, MA

Data Extraction information

See Boston, MA salary details

$12

$30

$74

How much do data extraction jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for data extraction in Boston, MA is $30.17, according to ZipRecruiter salary data. Most workers in this role earn between $16.21 and $33.45 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities for someone working in data extraction?

Professionals in Data Extraction typically spend their days gathering data from a variety of sources—such as databases, websites, or documents—using specialized tools or scripts. They are responsible for cleaning, formatting, and validating this data to ensure accuracy and consistency before delivering it to analysts or other stakeholders. Collaborating with data analysts, IT teams, and business units is common to clarify data requirements and resolve any discrepancies. Most roles involve a mix of independent technical work and teamwork, with some positions requiring regular reporting or documentation of data extraction processes.

How to become a data extraction?

To become a data extraction specialist, develop skills in data analysis, programming languages like Python or SQL, and familiarity with data extraction tools such as web scrapers or ETL software. Gaining experience through relevant projects or certifications can improve job prospects in this field.

What are the key skills and qualifications needed to thrive in data extraction, and why are they important?

To excel in Data Extraction, candidates should have strong analytical skills, attention to detail, and a background in data management or computer science. Experience with extraction tools and programming languages such as SQL, Python, R, or ETL platforms, as well as familiarity with data governance standards, is often required. Strong organizational, problem-solving, and communication skills help professionals handle complex datasets and collaborate effectively across teams. These competencies ensure accurate, efficient data retrieval and support informed business decisions.

What is a data extraction?

A Data Extraction job involves collecting and retrieving data from various sources, such as databases, documents, websites, and APIs. This data is then transformed, cleaned, and structured for analysis or storage. Professionals in this role use tools like SQL, Python, or web scraping technologies to automate the process. Data extraction is essential for businesses to gain insights, make data-driven decisions, and streamline operations.

What are the most commonly searched types of Data Extraction jobs in Boston, MA?

The most popular types of Data Extraction jobs in Boston, MA are:

What are popular job titles related to Data Extraction jobs in Boston, MA?

For Data Extraction jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Data Extraction jobs in Boston, MA look for?

The top searched job categories for Data Extraction jobs in Boston, MA are:

Data Extraction jobs near you
Infographic showing various Data Extraction job openings in Boston, MA as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 100% In-person job distribution, with an average salary of $62,746 per year, or $30.2 per hour.

Data Scientist / Senior Data Scientist (Risk Modeling)

Berkshire Hathaway Specialty Insurance

Boston, MA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Job description

Who are we?
A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway's insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character.
We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world?
Learn more about our unique culture and history.
Job Opportunity:
Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics (CAT E&A) team. CAT E&A is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions across multiple lines of business.
The successful candidate will be responsible for identifying and applying cutting-edge data science techniques to build a better view of the risk for multiple perils. You will work across functional areas and perils within the team, supporting the development of models for various natural catastrophes, natural hazards, building vulnerability, and man-made risks such as cyber, casualty, among others. In addition, you will conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities.
Duties & Responsibilities:
  • Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets.
  • Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk.
  • Work with domain experts across teams and perils to enhance our use of available data.
  • Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions.

Qualifications, Skills and Experience:
Educational Background
  • Advanced degree (Master's or Ph.D.) in Statistics, Actuarial Science, Applied Mathematics, Data Science, Engineering, or other equivalent quantitative discipline.
  • Strong academic foundation in probability theory, statistical inference, stochastic processes, and Bayesian statistics.

Technical & Analytical Skills
  • Deep expertise in probability models commonly used in insurance (e.g., frequency-severity models, GLMs, loss distributions).
  • Strong applied statistics skills for:
    • Risk modeling
    • Predictive analytics
    • Pricing & underwriting analytics
    • Catastrophe exposure analysis
  • Proficiency in statistical and machine learning techniques, including:
    • Regression (GLM, GAM, GAMMs)
    • Time-series forecasting
    • Gradient boosting, random forests, and other tree-based models, neural networks models
    • Clustering and segmentation
    • Bayesian methods
  • Hands-on experience with key programming tools:
    • Python (NumPy, pandas, scikit-learn; PyTorch/TensorFlow a plus)
    • R (actuarial/statistical packages)
    • SQL for data extraction and manipulation
    • Familiarity with Git and Docker is a plus
  • Experience with big data and distributed computing (e.g., Spark, Databricks, AWS/Google Cloud Platform/Azure) is a plus.

Preferred Domain Knowledge in Risk Modeling
  • Strong understanding of property & casualty insurance, including:
    • Exposure modeling
    • Loss distributions (e.g., Pareto, lognormal, gamma)
    • Catastrophe risk concepts and tail modeling
    • Portfolio risk aggregation, reinsurance structures, and risk metrics (AAL, PML, TVaR)

Data Skills
  • Ability to work with large structured and unstructured datasets.
  • Expertise in data cleaning, transformation, and feature engineering.
  • Experience building automated data pipelines and scalable model workflows.

Modeling & Communication
  • Ability to translate complex statistical concepts into actionable business insights.
  • Experience communicating results clearly to actuaries, underwriters, executives, and non-technical stakeholders.
  • Strong documentation and model governance discipline.

Professional Competencies
  • Curious, analytical thinker with strong problem-solving ability.
  • Ability to work independently in ambiguous problem spaces.
  • Collaborative mindset - comfortable partnering with actuaries, underwriters, portfolio managers, and engineers.

BHSI Offers:
  • A competitive package and exciting growth opportunities for career-oriented teammates.
  • A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders.
  • A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework.
  • Benefits that support your life and well-being, which include:
    • Comprehensive Health, Dental and Vision benefits
    • Disability Insurance (both short-term and long-term)
    • Life Insurance (for you and your family)
    • Accidental Death & Dismemberment Insurance (for you and your family)
    • Flexible Spending Accounts
    • Health Reimbursement Account
    • Employee Assistance Program
    • Retirement Savings 401(k) Plan with Company Match
    • Generous holiday and Paid Time Off
    • Tuition Reimbursement
    • Paid Parental Leave

The base salary range for this position in Atlanta, GA, Boston, MA, or San Ramon, CA is $100,000 to $160,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates - both their capabilities and character - as demonstrated by our amazing culture.
NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.

Apply