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Remote Economist Data Scientist Jobs (NOW HIRING)

Communicate clearly and proactively in a remote-first environment Qualifications Required * Bachelor\'s or Master\'s degree in Statistics, Economics, Data Science, Computer Science, or related ...

Job Title Junior Data Scientist Summary This role sits at the intersection of real estate economics, urban analysis, and data science. The Junior Data Scientist will support the development and ...

D in Data Science, Computer Science, Epidemiology, Economics, Public Health, Statistics ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

As a Data Scientist, you will be working with our engineering team to model complex problems and ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

Position is 100% remote. Requirements: Master's degree in Data Science, Analytics, Information Systems, or a directly related field, plus 1 year of experience as a data scientist or related ...

Remote Position Summary The Senior Data Scientist provides advanced analytical expertise supporting the SBA OIG Technology Solutions Division through the design, development, deployment, and ...

This role can be remote in some US states (See below for remote work requirements) or based in one ... economics, or a related quantitative field. * Advanced proficiency in Python and SQL, with strong ...

This role can be remote in some US states (See below for remote work requirements) or based in one ... Minimum 5 years of work experience in Data Science, or a PhD in math, statistics, economics, or a ...

Data Scientist

Bethesda, MD · On-site +1

$69K - $125K/yr

The percentage of remote work will vary based on client requirements/deliverables Fun stuff you ... Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics ...

Data Scientist 3

Lititz, PA · On-site +1

$130K - $150K/yr

This role can be remote in some US states (See below for remote work requirements) or based in one ... Minimum 2 years of work experience in Data Science, or a PhD in math, statistics, economics, or a ...

Lead Data Scientist

Frisco, TX · On-site +1

$138K - $272K/yr

... Economics * 8+ years experience in building sophisticated models using machine learning ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Data Scientist Location : Remote Duration: Long term * Bachelor's degree or Master's Degree in Computer science, or a related field, with minimum 10+ Years of relevant experience. * Must be ...

Lead Data Scientist

Draper, UT · On-site +1

$138K - $272K/yr

... Economics * 8+ years experience in building sophisticated models using machine learning ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

About the Data Scientist position We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You ...

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Remote Economist Data Scientist information

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$37.5K

$122.7K

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How much do remote economist data scientist jobs pay per year?

As of Jul 28, 2026, the average yearly pay for remote economist data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are Remote Economist Data Scientists?

Remote Economist Data Scientists are professionals who analyze economic data and trends using advanced data science techniques, such as statistical modeling and machine learning, all while working outside of a traditional office environment. They leverage large datasets to uncover economic insights, forecast trends, and provide recommendations to businesses, governments, or research organizations. Their remote role allows them to collaborate with global teams and access data from anywhere, offering flexibility and often requiring strong communication and technical skills. These professionals typically have backgrounds in economics, statistics, and computer science, enabling them to interpret complex data and inform decision-making.

What are the key skills and qualifications needed to thrive as a Remote Economist Data Scientist, and why are they important?

To thrive as a Remote Economist Data Scientist, you need a solid background in economics, statistical analysis, and data modeling, typically supported by an advanced degree in economics, statistics, or a related field. Proficiency with programming languages such as Python or R, experience with data visualization tools, and familiarity with big data platforms and econometric software are essential. Strong problem-solving skills, effective communication, and the ability to work independently are standout soft skills for this role. These skills ensure the ability to derive actionable insights from complex datasets, communicate findings clearly, and contribute meaningfully to data-driven decision-making in a remote environment.

How does a Remote Economist Data Scientist typically collaborate with cross-functional teams given the remote work environment?

As a Remote Economist Data Scientist, collaboration with cross-functional teams—such as engineering, product, and business strategy—is often facilitated through virtual meetings, shared documentation, and collaborative data platforms. Regular communication via video calls, Slack channels, and project management tools helps ensure alignment on goals and data insights. While working remotely presents challenges like time zone differences and building rapport, most organizations provide structured workflows and clear documentation to streamline teamwork. Proactive communication and thorough documentation are key to overcoming common remote collaboration hurdles and maintaining productivity.
More about Remote Economist Data Scientist jobs
What cities are hiring for Remote Economist Data Scientist jobs? Cities with the most Remote Economist Data Scientist job openings:
What are the most commonly searched types of Economist Data Scientist jobs? The most popular types of Economist Data Scientist jobs are:
What states have the most Remote Economist Data Scientist jobs? States with the most job openings for Remote Economist Data Scientist jobs include:
Data Scientist

Data Scientist

Audiohook

Eden, UT • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Posted 3 days ago


Job description

Role Overview

The Data Scientist will own the measurement science behind Audiohook\'s performance audio advertising platform. You\'ll design and run incrementality tests, build and maintain marketing mix models, and apply causal analysis to quantify how Audiohook drives outcomes for advertisers. This role combines hands-on modeling with the opportunity to shape how we prove value to customers, sharpen our bidding and optimization systems, and influence product direction. You\'ll collaborate closely with Engineering, Product, Sales, and Customer Success to ensure measurement isn\'t just statistically sound but operationally useful.

Key ResponsibilitiesMarketing Measurement & Causal Inference
  • Design and run incrementality experiments (geo, ghost bidding, holdout, PSA) that quantify Audiohook\'s lift for advertisers

  • Build, maintain, and evolve marketing mix models (MMM) and multi-touch attribution analyses across customer campaigns

  • Apply causal inference methods — difference-in-differences, synthetic controls, instrumental variables, propensity scoring — to questions that can\'t be answered with RCTs

  • Translate measurement results into clear narratives for advertisers, internal stakeholders, and the product team

Modeling & Analysis
  • Partner with Engineering on the data and modeling layer that powers bidding, pacing, and optimization decisions

  • Develop and validate predictive models that improve campaign performance and platform efficiency

  • Instrument experiments and analyses for reproducibility, monitoring, and ongoing measurement quality

Cross-Functional Collaboration
  • Partner with Sales and Customer Success on measurement studies for priority accounts and renewals

  • Partner with Product on roadmap inputs grounded in causal evidence, not just descriptive data

  • Present findings to advertisers, internal teams, and leadership in clear, decision-ready formats

  • Communicate clearly and proactively in a remote-first environment

QualificationsRequired
  • Bachelor\'s or Master\'s degree in Statistics, Economics, Data Science, Computer Science, or related quantitative field

  • 3–5 years of applied data science experience with a focus on marketing measurement — incrementality, MMM, attribution, or causal analysis

  • Hands-on experience designing and analyzing experiments (A/B, geo, holdout) in a marketing or advertising context

  • Strong fluency in Python (pandas, statsmodels, scikit-learn, PyMC, or similar) and SQL

  • Solid grounding in statistical inference, regression, and causal methods

  • Ability to communicate technical results to non-technical audiences — advertisers, sales, leadership

  • Excellent attention to detail and intellectual honesty about model limitations

Preferred
  • Experience in adtech, digital advertising, or media measurement

  • Experience with Bayesian methods or Bayesian MMM frameworks (e.g., PyMC-Marketing, LightweightMMM, Robyn)

  • Experience working with large-scale ad event data (impressions, clicks, conversions) and modern data stacks (e.g., Iceberg, Snowflake, BigQuery)

  • Experience in a startup or high-growth company

  • Comfort using AI tools to accelerate exploratory analysis, code, and write-ups while maintaining methodological rigor

What We Offer
  • Fully remote work environment

  • Competitive salary and equity opportunities

  • Performance bonuses

  • Health, dental, and vision benefits

  • Other benefits such as daily lunch stipend, monthly wifi, cell phone and subscription reimbursement, and annual hardware stipend

  • Flexible PTO and remote-friendly culture

  • Bi-annual Corporate Offsites

  • Opportunity to help shape a function at a rapidly scaling tech company