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Economics Data Science Jobs in Boston, MA (NOW HIRING)

Bachelor's degree in Data Science, Computer Science, Statistics, Economics, Information Systems, or a related quantitative field. * 2+ years' experience applying data science techniques in a business ...

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Data Scientist, Data Science

Waltham, MA · Hybrid

$103K - $121K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Economics, Information Systems, or a related quantitative field. * 2+ years' experience applying data science techniques in a business ...

New

Data Science Job Category: Scientific/Technology All Job Posting Locations: Barcelona, Spain ... economics, biomedical informatics, applied mathematics, or similar), * 5+ years of industry ...

Data Science Job Category: Scientific/Technology All Job Posting Locations: Cambridge ... economics, biomedical informatics, applied mathematics, or similar), * 5+ years delivering ML/NLP ...

You will contribute to communities, the region, and the nation by conducting economic research ... Oversee and manage multiple data science projects from inception to completion. Ensure timely ...

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Economics Data Science information

See Boston, MA salary details

$45.1K

$154.8K

$218.4K

How much do economics data science jobs pay per year?

As of Aug 27, 2026, the average yearly pay for economics data science in Boston, MA is $154,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,700.00 and $180,900.00 per year, depending on experience, location, and employer.

What is an economics data science?

An Economics Data Science job combines economic theory, statistical analysis, and machine learning to interpret complex data and inform decision-making. Professionals in this field work with large datasets to analyze market trends, forecast economic conditions, and optimize business strategies. They commonly use programming languages like Python or R and tools such as SQL and econometric models. This role is valuable in industries like finance, government, and tech, where data-driven economic insights are crucial.

What are common projects or responsibilities for professionals in economics data science roles?

Economics Data Science professionals often work on projects that involve economic modeling, market analysis, and forecasting trends using large datasets. Typical responsibilities include gathering and cleaning economic data, developing predictive models, conducting statistical analyses, and translating results into actionable recommendations for business strategy or policy decisions. You may collaborate closely with economists, business analysts, and decision-makers to inform company direction or solve complex real-world problems. This role often involves a mix of independent data exploration and teamwork, offering opportunities to drive impactful results and shape organizational strategy.

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

To thrive in Economics Data Science, you need a strong background in economics, statistics, and programming (especially Python or R), often backed by a degree in economics, data science, or a related field. Proficiency with data analysis tools such as SQL, machine learning frameworks, and visualization software like Tableau is commonly required, and certifications in data science or analytics are advantageous. Excellent problem-solving abilities, communication skills, and a collaborative mindset help distinguish top performers in this position. These skills are crucial for effectively analyzing economic data, generating actionable insights, and conveying complex findings to both technical and non-technical stakeholders.

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

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

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

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

Infographic showing various Economics Data Science job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $154,769 per year, or $74.4 per hour.

Data Scientist, Data Science

Northborough, MA • Hybrid


National Grid

8.5

Company rating: 8.5 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

18th of 53 rated energy and utility

Great coworkers

People enjoy working here

Good employer


$103K - $121K/yr

Full-time

Posted yesterday

New


Job description

About us

National Grid is hiring a Data Scientist - Data, Business Intelligence & Advanced Analytics.  This is a hybrid position and can be based out of Waltham, MA or Northborough, MA.

Every day we deliver safe and secure energy to homes, communities, and businesses. We are there when people need us the most. We connect people to the energy they need for the lives they live. The pace of change in society and our industry is accelerating and our expertise and track record puts us in an unparalleled position to shape the sustainable future of our industry.

To be successful we must anticipate the needs of our customers, reducing the cost of energy delivery today and pioneering the flexible energy systems of tomorrow. This requires us to deliver on our promises and always look for new opportunities to grow, both ourselves and our business. Data informed decision-making is at the heart of what we do.  The data and analytics professionals on the Data & Advanced Analytics team provide the data, analytics and insights that support the New England Electric team with delivering clean, fair and affordable electric power.

In this role, you'll use advanced analytics, machine learning, and data science techniques to solve complex business challenges and deliver insights that make a real impact.
Job Purpose

In a world increasingly shaped by data, this role is your opportunity to lead the charge in transforming information into impact. As a Data Scientist of Data & Advanced Analytics, you will elevate decision-making and unlock insights that drive innovation, reliability, and progress. You won't just manage data-you'll shape the future of how we work, build, and serve.

Key Accountabilities
  • Employ sophisticated analytics, machine learning, and statistical methods for predictive and prescriptive modelling, forecasting, and simulations to solve business problems
  • Lead small projects from conception to completion, working with multiple teams of stakeholders directly to understand and address their analytic needs
  • Assist with research, implementation, and delivery of data products that support the work of the New England Electric Business, including data requests and dashboards.
  • Assemble small and large individual data sets that meet internal business requirements and are within the overall Electric Data Management (EDM) technology platform
  • Develop solutions to automate manual procedures and optimize data and solution delivery for end users.
Qualifications

Required

  • Bachelor's degree in Data Science, Computer Science, Statistics, Economics, Information Systems, or a related quantitative field.
  • 2+ years' experience applying data science techniques in a business environment.
  • Strong skills in:
    • Python
    • SQL
    • Machine learning methods and tools
    • Relational databases such as Snowflake, Oracle, SQL Server, or PostgreSQL
  • Strong communication skills with the ability to explain technical concepts to non-technical audiences.
  • Curious, collaborative, and motivated to learn.

Preferred

  • Master's degree or higher in a relevant field.
  • GIS programming knowledge or experience.
  • Experience in the energy industry or another regulated environment.
More Information

 Why National Grid?

  • Help shape the future of Massachusetts' electricity system.
  • Work on high-impact initiatives that support reliability, affordability, and sustainability.
  • Collaborate with industry-leading experts across strategy, operations, technology, and regulation.
  • Gain exposure to major grid modernization and energy transformation programs.
  • Be part of an organization committed to innovation, continuous improvement, and delivering value for customers and communities.
  • Work with advanced analytics and enterprise-scale data solutions.
  • Enjoy a collaborative and innovative team environment.

Salary

$103,000 - $121,000 a year

National Grid will not be providing visa sponsorship for this position now or in the future. You must have the ability to work without a need for current or future visa sponsorship.

National Grid utilizes an assessment that evaluates the job qualifications/characteristics using AI or statistically based scoring. For more information, please view NYC Local Law 144.

This position has a career path which provides for advancement opportunities within and across bands as you develop and evolve in the position; gaining experience, expertise and acquiring and applying technical skills. Candidates will be assessed and provided offers against the minimum qualifications of this role and their individual experience.

National Grid is committed to providing equal employment opportunities to all employees and applicants for employment regardless of protected class. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, or any other protected status in accordance with applicable federal, state, and local laws. National Grid maintains affirmative action programs for individuals with disabilities and protected veterans.

Our employment practices are designed to ensure that all individuals are treated fairly and with respect throughout the hiring process and during employment. National Grid complies with all applicable federal, state, and local anti-discrimination laws. We are dedicated to fostering a workplace that is free from unlawful discrimination and harassment, and we encourage a culture of respect for all.

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