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Remote Economics Data Science Jobs in Boston, MA

Data Scientist

Cambridge, MA · On-site +1

$114K - $133K/yr

Our award-winning culture is collaborative, innovative, and science based. If you have a passion ... Flexible work models, including remote and hybrid work arrangements, where possible Apply now and ...

Remote (Preference for candidates local to Marlborough, MA) Start Date Is: ASAP Duration: 6-month ... Partner with data engineering and data science teams to deliver scalable data solutions.

... remote position. Based in Northborough, this role plays a crucial part in harnessing data to ... Associate's degree in Data Science, Health Informatics, or a related field * 1-3 years of ...

Location: Remote in the United States. Reports to: Director, HEOR. Roles and responsibilities ... Proven ability to translate complex scientific and economic data into clear, compelling narratives ...

This full-time, remote position allows you to leverage your expertise in the health and fitness ... Bachelor's degree in Data Science, Health Informatics, or a related field * 1+ years of experience ...

A rapidly growing SaaS technology company is hiring a remote Staff Data Engineer to lead the design ... with Data Science teams to operationalize data products · Experience introducing AI-enabled ...

Showing results 41-60

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 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:

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 Scientist

Amgen

Cambridge, MA • On-site, Remote

$114K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 16 days ago


Job description

Career CategoryProcess DevelopmentJob Description

Join Amgen's Mission of Serving Patients

At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.

Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.


Data Scientist

Duties: Apply statistical trending tools to product and method data Apply engineering principles and multivariate statistical analysis in-order to understand sources of variation and evaluate opportunities for improvements; Use data analytics software to develop visualizations to review, assess, and improve analytical method performance; Interface with analytical scientists, process development scientists, and engineers to assess, understand, and support data consumption needs; Interface with product quality, QC, quality assurance, and manufacturing organizations to resolve method issues; Support ongoing GMP activities such as the generation of the annual product review documents, regulatory inspections, and process documentation; Stay abreast of new technologies and statistical approaches to recommend improvement; and Apply machine learning methodologies where appropriate for analyzing datasets. May telecommute.


Requirements: Position requires a Master's degree (or foreign equivalent) in Data Science, Computer Engineering or related field & completion of a university-level course, research project, internship, thesis, or one year of experience in the following:

Data analysis and visualization using tools including Power BI and Tableau

Develop data pipelines Extract, Transform, and Load using Data warehouse solutions including Databricks, Snowflake, and Amazon Redshift

Analyze time series data and performing statistical analyses and hypothesis testing;

Programming languages including Python and R;

AI/ML (Artificial Intelligence/Machine Learning) techniques including classification, regression, and anomaly-detection methods for predictive analytics and operational improvements;

Conducting research in AI/ML (Artificial Intelligence/Machine Learning) topics including deep learning, natural language processing (NLP), and predictive analytics for potential application; and

Machine Learning models including convolutional neural networks to understand protein structures.

Contact: Interested candidates please apply via https://careers.amgen.com/en/search-jobs and search for job #R-248084

Job type: Full-Time position. The annual salary range for this position in the U.S. is $114,088.00 - $133,117.00 per year. Also, this position offers stock, retirement, medical, life and disability insurance and eligibility for an annual bonus or for sales roles, other incentive compensation. For more details visithttps://careers.amgen.com/life-at-amgen/benefits/

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:

  • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts

  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan

  • Stock-based long-term incentives

  • Award-winning time-off plans

  • Flexible work models, including remote and hybrid work arrangements, where possible


Apply now and make a lasting impact with the Amgen team.

careers.amgen.com

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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