ZipRecruiter

Log In

2

Remote Economics Data Science Jobs in Washington

VMD Corp

Data Scientist - TS/SCI

Bethesda, MD · On-site +1

The Data Scientist will support ongoing and future programs to advance the state of the art in ... Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics ...

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or ...

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or ...

Level Up Llc

Data Scientist

Reston, VA · On-site +1

Computer Science * Data Analytics * Economics * Engineering * Geospatial Analysis * Mathematics ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245950 Location: Washington,DC,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

AVIAN, LLC

Data Scientist

Reston, VA · On-site +1

Computer Science * Data Analytics * Economics * Engineering * Geospatial Analysis * Mathematics ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

Shift5

Applied Data Scientist

Arlington, VA · On-site +1

$120K - $170K/yr

Take ownership of data science projects from initial problem definition and hypothesis building to ... Flexible work & remote work policy  * Tax-deferred public transit benefits with Metro ...

Steampunk

Data Scientist

Mclean, VA · On-site +1

$140K - $160K/yr

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Analytics, Engineering, Economics, or a related field * 5+ years industry experience developing ML/AI ...

LexisNexis

Director, Data Sciences

Washington, DC · On-site +1

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Define and execute the data science vision and roadmap aligned with business objectives and ...

Booz Allen Hamilton, Inc.

Data Scientist

Mclean, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0236797 Location: McLean,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a ...

previous page

Showing results 41-60

All JobsEconomics Data Science JobsRemote Economics Data Science JobsRemote Economics Data Science Jobs in Washington

Remote Economics Data Science information

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.

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 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.
What are popular job titles related to Remote Economics Data Science jobs in Washington? For Remote Economics Data Science jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Economics Data Science jobs in Washington look for? The top searched job categories for Remote Economics Data Science jobs in Washington are:
What cities in Washington are hiring for Remote Economics Data Science jobs? Cities in Washington with the most Remote Economics Data Science job openings:
Remote Economics Data Science jobs near you

Pega Data Science and Analytics

System One

Merrifield, VA • Remote

Contractor

Posted 2 days ago

New

Job description

Job Title: Pega Data Science and Analytics Location: Hybrid or Remote reporting to Vienna Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract Prioritized Deliverables 1. Library of required queries/scripts to replicate the CDH customer contextual object in external systems (databricks/asl) for deeper analysis 2. Standardize format for executing key data retrieval steps for use by the broader team a. Interaction to outcome attribution (account opens) b. Model data to interaction mapping (model performance, predictor performance) c. Member Profile to interaction mapping 3. Create notebooks for the broader team to use to answer specific questions a. Distribution Analysis b. Arbitration Analysis c. Channel Engagement Analysis Skillset The primary technical skills required would be familiarity with the databricks environment and proficiency with Python/PySpark and SQL. Pega CDH experience is preferred. Some examples of the work as it directly relates to GEM • Initial Analysis to Support New Model Related Features o Propensity Thresholds • Creating the back-testing approach (MDSA had no appetite at the time) • Establishing baseline KPIs • Creating the monitoring approach o Initial Model Maturity Analysis (though Morgan’s team is starting to be involved) • Establishing baseline KPIs • Gauging the impact of enabling the feature • Creating the ongoing monitoring approach • On-going Analysis o Model Performance Monitoring • Though MDSA owns the code to run the notebooks, when changes must be made to the code GEM is heavily involved in creating the new logic o NBI Program Model Health • This exists in some form today, but it is not in a state that is readily available to be shared with leaders in O&A, MDSA, or broader Marketing Broader O&A Analytical Gaps (Things Red, Sumant, and Tai typically scramble to create which should be readily available) • “Actionable Monitoring Data:” Standardizing how we conduct this sort of analysis for consistency o Capture when propensity scores are exceptionally low closer to real-time (1 day) o Capture when actions are not providing value to their intended objective (acquisition, engagement) • Eligible Audience Monitoring o Identifying Members eligible for different actions/treatments (simulation environment can help after going live to a certain extent) o Tying interactions back to key Member demographic data for more granular analysis (this sort of analysis should be standardized so it can easily be done by all Members of O&A) . Looking for a candidate with 5-10 years of experience + Master's degree and 1-2 years of strong data science and coding experience. Ref: #851-Rockville-S1