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Senior Economics Data Science Jobs (NOW HIRING)

Intuit

Senior Data Scientist

San Diego, CA · On-site

$149K - $202K/yr

Overview Join the Intuit Customer Success team as a Senior Data Scientist within our Expert Network ... Qualifications Master's degree in Computer Science, Statistics, Econometrics, Data Science, or a ...

City of New York

Senior Data Scientist

Manhattan, NY · On-site

$125K - $150K/yr

The Research and Analytics Division ("RAD") performs economic analysis in support of the agency ... products, provides data science and technologist support in investigations, analyzes agency ...

Intuit

Senior Data Scientist

Mountain View, CA · On-site

$149K - $202K/yr

Overview Join the Intuit Customer Success team as a Senior Data Scientist within our Expert Network ... Qualifications Master's degree in Computer Science, Statistics, Econometrics, Data Science, or a ...

Intuit Inc.

Senior Data Scientist

San Diego, CA · On-site

$120 - $160/hr

Join the Intuit Customer Success team as a Senior Data Scientist within our Expert Network. In this ... Master's degree in Computer Science, Statistics, Econometrics, Data Science, or a quantitative ...

Intuit

Senior Data Scientist

San Diego, CA · On-site

$149K - $202K/yr

Join the Intuit Customer Success team as a Senior Data Scientist within our Expert Network. In this ... Qualifications Master's degree in Computer Science, Statistics, Econometrics, Data Science, or a ...

Intuit

Senior Data Scientist

San Diego, CA · On-site

$149K - $202K/yr

Join the Intuit Customer Success team as a Senior Data Scientist within our Expert Network. In this ... Qualifications Master's degree in Computer Science, Statistics, Econometrics, Data Science, or a ...

Intuit

Senior Data Scientist

Mountain View, CA

$149K - $202K/yr

Join the Intuit Customer Success team as a Senior Data Scientist within our Expert Network. In this ... Qualifications Master's degree in Computer Science, Statistics, Econometrics, Data Science, or a ...

CVS Health

Sr Manager, Data Science

Woonsocket, RI · On-site +1

$140K - $260K/yr

... Sr. Manager Data Science to: Leads data science team to develop insights from data in order to ... economic forecasting. Duties include: Leads team to develop insights from data in order to ...

New

Compunnel

Finance Data Science Advisor

Reston, VA · On-site

The Finance - Data Science - Advisor role will provide flexibility while working alongside cross ... The role will leverage advanced mathematical, analytical, econometric, and statistical modeling ...

New

Microsoft

Senior Finance Manager

Redmond, WA · On-site

$125K - $206K/yr

We are seeking a Senior Finance Manager to partner closely with the business to elevate our pricing ... Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related ...

MSD Malaysia

Sr Specialist, Data Science

North Wales, PA · On-site

$129 - $203/hr

The Senior Specialist, US Market Engagement (USME) The Senior Specialist, US Market Engagement ... Economics, Engineering, Public Health, or an equivalent scientific/commercial discipline. An MBA, ...

New

Microsoft

Senior Finance Manager, GitHub

Redmond, WA · On-site

$122K - $166K/yr

We are hiring a Senior Finance Manager, GitHub , who will be focused on driving GitHub Copilot ... Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related ...

Total Wine & More

Director, Data Science

Bethesda, MD · On-site

... senior business and technology leadership to identify strategic opportunities, solve complex ... Required : • Bachelor's Degree Data Science, Computer Science, Statistics, Mathematics, Economics ...

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Senior Economics Data Science information

See salary details

$33K

$107.6K

$149.5K

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

As of Aug 21, 2026, the average yearly pay for senior economics data science in the United States is $107,594.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What is a senior economics data scientist?

Senior Economics Data Scientists are experienced professionals who use advanced data analysis, statistical modeling, and economic theory to solve complex business and policy problems. They collect, process, and interpret large datasets to provide actionable insights, forecast trends, and inform decision-making at a strategic level. Typically, they work closely with interdisciplinary teams, lead research projects, and may mentor junior analysts. Their work often spans sectors such as finance, government, technology, and consulting, where data-driven economic insights are crucial.

What are the typical collaboration opportunities for a senior economics data scientist within a cross-functional team?

As a Senior Economics Data Science professional, you’ll frequently collaborate with economists, product managers, engineers, and business analysts. Your role will involve designing experiments, building predictive models, and translating complex economic insights into actionable strategies for stakeholders. You’ll often participate in cross-functional meetings to align on objectives, share data-driven findings, and help guide product or business decisions. This collaborative environment not only strengthens the impact of your work but also provides exposure to diverse perspectives and opportunities for career growth.

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

To thrive as a Senior Economics Data Scientist, you need a strong background in economics, statistics, and data analysis, typically supported by an advanced degree (e.g., MS or PhD) in economics, statistics, or a related field. Proficiency with programming languages such as Python or R, experience with statistical modeling tools, and familiarity with databases like SQL are essential, along with knowledge of machine learning frameworks. Strong communication, problem-solving abilities, and collaboration skills help translate complex data insights into actionable business recommendations. These skills are crucial for driving data-driven decision-making and delivering impactful economic analysis in a business environment.

What is the difference between Senior Economics Data Science vs Data Analyst?

AspectSenior Economics Data ScienceData Analyst
Required CredentialsMaster's or PhD in Economics, Data Science, or related fieldBachelor's degree in Economics, Statistics, or related field
Work EnvironmentAdvanced analytics, modeling, economic research, cross-functional teamsData collection, reporting, basic analysis, business support
Employer & Industry UsageFinancial services, consulting, tech, government agenciesRetail, marketing, healthcare, finance

Senior Economics Data Science roles focus on complex economic modeling, predictive analytics, and strategic insights, often requiring advanced degrees. Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles work with data, Senior Economics Data Scientists engage in more sophisticated modeling and economic research, whereas Data Analysts focus on data interpretation and reporting.

What cities are hiring for Senior Economics Data Science jobs?

Cities with the most Senior Economics Data Science job openings:

What are the most commonly searched types of Economics Data Science jobs?

The most popular types of Economics Data Science jobs are:

What states have the most Senior Economics Data Science jobs?

States with the most job openings for Senior Economics Data Science jobs include:

Senior Economics Data Science jobs near you

Senior Data Scientist

Intuit

San Diego, CA • On-site

$149K - $202K/yr

Full-time

Re-posted 9 days ago

Intuit rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

107th of 245 rated software companies

Job description

Overview

Join the Intuit Customer Success team as a Senior Data Scientist within our Expert Network. In this role, you will help drive the AI strategy for our product support and live experiences. You’ll be a key member in optimizing our greatest resource, our people, through innovating, experimenting, learning, and scaling AI-driven solutions.

In this role you will bring cutting-edge data science techniques to influence our Customer Success strategy and drive business growth at scale. You will partner directly with cross-functional teams—across Product Management, Engineering, Data, Customer Success, and Service Delivery—to architect the analytical frameworks and modeling solutions that drive our Expert Network and our AI Driven platform. 


This role requires a foundation in statistical methods, machine learning, experimentation design, and causal inference, coupled with a demonstrated ability to lead with influence, navigate ambiguity, and execute with precision.


Responsibilities


Advanced Predictive Modeling & Machine Learning: Design, build, and deploy scalable models—including ensemble methods, time-series forecasting, LTV modeling, deep learning architectures, and uplift modeling—to uncover high-impact growth opportunities and drive personalization.

Experimentation Science & Design: Own the end-to-end experimentation pipeline—from hypothesis generation and design (e.g., CUPED, multi-armed bandits, Bayesian Inference) to rigorous causal interpretation and impact quantification.

Causal Inference: Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact.

Metric Design & Impact Attribution: Define and evolve success metrics using state-of-the-art measurement frameworks, ensuring that business KPIs are both predictive and causally informative.

Communication: Deliver compelling, data-driven narratives to VP and Director stakeholders; distill complex findings into clear, actionable strategy recommendations with quantified business impact.

Strategic Influence: Demonstrate extreme ownership across cross-functional initiatives, influencing product vision and delivering measurable impact through analytics innovation.


Qualifications


Master’s degree in Computer Science, Statistics, Econometrics, Data Science, or a quantitative field.

4+ years of progressive experience in applied data science roles with increasing scope and complexity.

Proven experience applying state-of-the-art machine learning and causal inference methodologies in high-impact, product-facing applications.

Expert-level proficiency in SQL as well as Python or R

Demonstrated success integrating ML models into production environments, especially within personalization, recommendation, or AI-assisted UX.

Deep understanding of Generative AI and other evolving technologies to accelerate insights

Deep knowledge of experimental design, including non-standard A/B testing methods, uplift modeling, and sequential testing frameworks.

Hands-on experience with data visualization tools like Tableau or Qlik.

Strong communication and storytelling abilities—adept at translating sophisticated analytics into strategic guidance.


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Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The expected base pay range for this position is:
San Diego $149,500 - $202,500
Mountain View, CA $162,500- $220,000

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