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Meta Data Scientist Jobs in Boston, MA (NOW HIRING)

Azurity Pharmaceuticals, Inc.

Data Engineer

OR · On-site +1

$107K - $128K/yr

... science and commitment to quality into everything that we do. * Mission: * Implement the data ... Provide technical support related to data structures, data models and meta data management to ...

azurity

Data Engineer

$117K - $140K/yr

... science and commitment to quality into everything that we do.. * Mission: * Implement the data ... Provide technical support related to data structures, data models and meta data management to ...

Socket.dev

Principal Data Scientist

Cambridge, MA · On-site

$119 - $237/hr

THE ROLE As a Principal Data Scientist , you'll be a technical leader responsible for the full ... Deep familiarity with advertising platform data and APIs, including Meta, Google, TikTok, LinkedIn ...

Meta

Product Manager

Boston, MA · On-site

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for Pr...

Meta

Product Manager

Boston, MA

$173K/yr

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for Product Managers who value moving quickly.

GlaxoSmithKline

Lab Data Manager

Cambridge, MA · On-site

$120 - $199/hr

... scientific data management solutions for R&DContributes to designing/defining solutions to make lab data secure & ready for reuse through (meta)data standard format, storage and archiving management.

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All JobsMeta Data Scientist JobsMeta Data Scientist Jobs in Boston, MA

Meta Data Scientist information

See Boston, MA salary details

$40.7K

$133.3K

$213.5K

How much do meta data scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for meta data scientist in Boston, MA is $133,336.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $147,700.00 per year, depending on experience, location, and employer.

What is a Meta Data Scientist?

A Meta Data Scientist at Meta (formerly Facebook) uses data analysis, machine learning, and statistical techniques to drive business decisions and improve products. They work with large-scale datasets to extract insights, optimize algorithms, and enhance user experiences. Responsibilities often include A/B testing, predictive modeling, and collaborating with engineers and product teams. The role requires strong programming skills (Python, SQL, R), expertise in statistical analysis, and experience with data visualization. Typically, candidates have backgrounds in computer science, mathematics, or related fields.

What are some typical projects or challenges a Meta Data Scientist might encounter on the job?

As a Meta Data Scientist, you may work on projects ranging from large-scale data infrastructure optimization to advanced predictive modeling and experimentation. Challenges often include handling massive and complex datasets, ensuring data quality, and translating business needs into data-driven solutions. You'll likely collaborate closely with engineers, product managers, and other scientists to deliver impactful insights and scalable tools. This dynamic environment encourages creative problem-solving and offers opportunities for skill advancement and cross-functional learning. The role frequently involves balancing technical execution with clear communication to stakeholders.

What are the key skills and qualifications needed to thrive in the Meta Data Scientist position, and why are they important?

To thrive as a Meta Data Scientist, you need a strong background in statistics, machine learning, data analytics, and computer science, often supported by an advanced degree in a relevant field. Familiarity with programming languages like Python or R, cloud computing platforms, big data tools such as Spark or Hadoop, and certifications in data science or analytics are highly valuable. Strong collaborative, problem-solving, and communication skills help foster insights and share results effectively across multidisciplinary teams. These skills are essential for building scalable models, generating actionable data-driven insights, and effectively contributing to organizational innovation.

How much do meta data scientists make?

Meta Data Scientists typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and education. Senior roles or those with specialized skills in machine learning and data engineering can earn higher compensation, often exceeding $180,000 per year.

How to get a data science job at Meta?

To get a data science job at Meta, candidates should have strong skills in statistics, programming (Python or R), and data analysis, along with experience in machine learning and data visualization. A relevant degree in a quantitative field and a solid portfolio of projects or prior work can improve chances. Familiarity with tools like SQL, Hadoop, or Spark and understanding of the company's products and data infrastructure are also beneficial.

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

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

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

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

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

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

Meta Data Scientist jobs near you
Infographic showing various Meta Data Scientist job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $133,336 per year, or $64.1 per hour.

Data Engineer

Azurity Pharmaceuticals, Inc.

OR • On-site, Remote

$107K - $128K/yr

Full-time

Re-posted 17 days ago

Job description

  • Azurity Pharmaceuticals, Inc. is a fast-growing pharmaceutical company focusing on the needs of patients requiring customized, user-friendly drug formulations, especially children and the elderly. Azurity's products have benefited millions of patients whose needs are not served by other commercially available therapies. For more information, visit www.azurity.com.
    Azurity's success is attributable to our incredibly talented, dedicated team that focuses on benefiting the lives of patients by bringing the best science and commitment to quality into everything that we do.
  • Mission:
    • Implement the data models and data structures needed for each use case as defined by the Data Architect, in the most convenient format to be used by the Data Scientist
    • Own the structural elements of data, e.g., data storage, data piping, interfacing with analytics platforms
    • Participate in data requirements, modelling and testing
  • Tasks & responsibilities:
    • Provide technical support related to data structures, data models and meta data management to relevant stakeholders
    • Creates data models, providing the right format and structure for the use case solutions
    • Participate in early data modeling and testing for use case development, provide input on how to improve proposed solutions and implement necessary changes
    • Extract relevant data to solve analytical problems; ensure development teams have the required data
    • Interact with the business ([function]) to understand all data requirements to develop business insights and translates them into data structures and data models, in close collaboration with Data Architect
    • Work closely with IT/IM teams on internal data acquisition (e.g., CRM, ERP) and with Data Architect for external data acquisition
  • Knowledge & experience:
    • 5+ years' experience with advanced data management systems (e.g., PostgreSQL, etc.)
    • Deep expertise in data modeling and structuring
    • Experience in high volume data environments
    • Ability to quickly learn new technologies
    • Developing and maintaining formal documentation that describes data and data structures including data modelling
    • Strong attention to detail and an ability to think critically and conceptually
    • Team oriented and flexible with proven track record in collaborating with multiple stakeholders
    • Strong verbal and written

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