ZipRecruiter

Log In

2

Remote Economics Data Science Jobs in Boston, MA

FocusKPI Inc.

Data Science Intern

Boston, MA · Remote

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | ... econometrics, operations research, or a closely related quantitative field. Preferred ...

FocusKPI Inc.

Data Science Intern

Boston, MA · On-site +1

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | ... econometrics, operations research, or a closely related quantitative field. Preferred ...

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Federal Reserve Bank of Richmond

Data Architect

Boston, MA · On-site +1

$69.25 - $89/hr

These platforms manage massive collections of economic time-series data, historical revisions ... No * Current remote employees will not be guaranteed to keep their remote status with their ...

New

Gradient AI

Principal Data Scientist

Boston, MA · On-site +1

$190K/yr

This is a fully remote opportunity with hybrid available to those local to Boston. Gradient AI ... Everything you would expect on a world-class data science team solving world-class problems. Big ...

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Gradient AI

Senior Data Scientist

Boston, MA · On-site +1

$140K/yr

This is a fully remote opportunity with hybrid available to those local to Boston. Gradient AI ... Everything you would expect on a world-class data science team solving world-class problems. Big ...

Gradient AI

Staff Data Scientist

Boston, MA · On-site +1

$160K - $195K/yr

This is a fully remote opportunity with hybrid available to those local to Boston. Gradient AI ... Everything you would expect on a world-class data science team solving world-class problems. Big ...

Tempus

Data Scientist II, Outcomes Research

Boston, MA · On-site +1

$100K - $150K/yr

... health economic outcomes research (HEOR) studies. Responsibilities: * Lead and execute HEOR and ... Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics ...

Dlapiper

Data Scientist

Boston, MA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Boston Region MPO / CTPS

Data Scientist

Boston, MA · Remote

$74K - $88K/yr

... computer science, data analytics, data science, statistics, mathematics, engineering or related ... The agency has a hybrid schedule, combining time in the office with remote work. Employees must ...

next page

Showing results 1-20

All JobsEconomics Data Science JobsRemote Economics Data Science JobsRemote Economics Data Science Jobs in Boston, MA

Remote Economics Data Science information

See Boston, MA salary details

$45.1K

$154.8K

$218.4K

How much do remote economics data science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote 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 a remote economics data scientist?

A Remote Economics Data Scientist is a professional who analyzes large sets of economic and financial data to extract insights, build predictive models, and support decision-making, all while working from a remote location. They combine expertise in economics, statistics, programming, and data analysis to interpret trends and inform business or policy strategies. Remote Economics Data Scientists often use tools such as Python, R, SQL, and data visualization platforms to communicate findings effectively. Their work can span industries like finance, government, consulting, and academia.

How do remote economics data scientists typically collaborate with cross-functional teams?

Remote Economics Data Science professionals often work closely with teams in product, engineering, and business strategy through virtual meetings, shared dashboards, and collaborative tools. Communication is key, as they translate complex economic models and data findings into actionable insights for stakeholders with varying technical backgrounds. Regular check-ins, clear documentation, and participation in agile sprints or project cycles help align goals and ensure that data-driven recommendations are integrated into decision-making processes. Adapting to different time zones and building strong virtual relationships are important aspects of effective collaboration in this remote role.

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

To thrive as a Remote Economics Data Scientist, you need a strong background in economics, statistics, and data analysis, typically supported by a degree in economics, statistics, or a related field. Proficiency in programming languages like Python or R, experience with data visualization tools, and familiarity with databases or cloud platforms are essential technical skills. Strong problem-solving abilities, effective communication, and self-motivation are vital soft skills for collaborating remotely and delivering actionable insights. These skills are crucial for accurately interpreting economic data, building predictive models, and driving data-informed decision-making in a remote environment.

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 Remote Economics Data Science jobs in Boston, MA?

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

What job categories do people searching Remote Economics Data Science jobs in Boston, MA look for?

The top searched job categories for Remote Economics Data Science jobs in Boston, MA are:

What cities near Boston, MA are hiring for Remote Economics Data Science jobs?

Cities near Boston, MA with the most Remote Economics Data Science job openings:

Remote Economics Data Science jobs near you
Infographic showing various Remote Economics Data Science job openings in Boston, MA as of August 2026, with employment types broken down into 11% Internship, 61% Full Time, 11% Part Time, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $154,769 per year, or $74.4 per hour.

Data Science Intern

FocusKPI Inc.

Boston, MA • Remote

Other

Posted 6 days ago

Job description

Data Science Intern
Statistical Modeling & Marketing Measurement
Remote  |  Internship  |  Full-time  |  3 months
About the Role
We are looking for a curious and analytically minded Data Science Intern to support the development and evaluation of statistical and machine learning models for marketing measurement. This role is designed for someone with strong quantitative fundamentals who wants hands-on experience applying regression, model diagnostics, validation, and data analysis to real business problems. You will work closely with experienced data scientists, learn how modeling choices affect interpretation and business decisions, and contribute clean, reproducible analytical work.
Responsibilities
  • Support the development and evaluation of models including regression, time-series, and other statistical or machine learning approaches, with attention to predictive performance, stability, and interpretability.
  • Prepare and explore data using Python and SQL; perform data-quality checks, feature construction, descriptive analysis, and visualization to understand modeling inputs and outcomes.
  • Apply core model-validation techniques such as train/validation/test splits, cross-validation, baseline comparisons, and appropriate performance metrics.
  • Investigate common statistical issues including multicollinearity, overfitting, residual patterns, autocorrelation, heteroskedasticity, and unstable coefficients, with guidance from senior team members.
  • Test and compare reasonable modeling choices such as feature transformations, regularization settings, and model specifications, and summarize how these choices affect model results.
  • Interpret model outputs and connect technical findings to practical marketing or business questions while clearly stating assumptions and limitations.
  • Contribute to reproducible analytical workflows for model training, validation, sensitivity checks, and result comparison.
  • Write clear Python and SQL code and communicate methods, findings, assumptions, and open questions in a structured and understandable way.

Basic Qualifications
  • Strong foundation in statistics and regression: understanding of linear regression, key model assumptions, coefficient interpretation, regularization concepts, and basic statistical inference.
  • Solid quantitative fundamentals in probability, statistics, and linear algebra; familiarity with calculus or optimization concepts is helpful.
  • Working knowledge of Python for data analysis and modeling, including common data-science libraries; basic to intermediate SQL skills for data extraction and transformation.
  • Understanding of model evaluation: training versus validation data, cross-validation, common regression metrics, overfitting, and the importance of out-of-sample performance.
  • Ability to reason through modeling problems: investigate unexpected results, form hypotheses about root causes, test alternatives, and explain conclusions using evidence.
  • Clear communication skills: ability to explain analytical methods, assumptions, results, and limitations to technical teammates and learn from feedback.
  • Currently pursuing a degree in statistics, computer science, data science, machine learning, applied mathematics, econometrics, operations research, or a closely related quantitative field.

Preferred Qualifications
  • Coursework, research, or project experience using regression, time-series analysis, statistical modeling, or machine learning.
  • Exposure to Marketing Mix Modeling (MMM), marketing analytics, attribution, or other measurement problems.
  • Basic understanding of concepts such as adstock, saturation, incremental impact, ROI, or response curves.
  • Familiarity with A/B testing, causal inference, simulation, sensitivity analysis, or confidence intervals.
  • Experience with Python libraries such as pandas, NumPy, statsmodels, scikit-learn, SciPy, or similar tools.
  • Previous internship, research assistantship, academic project, or independent project involving real-world data is a plus.

NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.

Powered by JazzHR

ITTf516vvQ

FocusKPI logo

About FocusKPI

Sourced by ZipRecruiter

Industry

Computing infrastructure providers, data processing, web hosting

Company size

51 - 200 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2010

View All FocusKPI Jobs