2

Remote Cfa Data Science Jobs in Washington (NOW HIRING)

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 ...

Data Scientist, Mid

Reston, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247640 Location: Reston,VA,US Share job via: Share Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Data Scientist

Washington, DC · On-site +1

$103K - $120K/yr

Two+ years in a data science role; experience in federal financial regulatory environments (e.g ... Remote position requiring availability to collaborate during core business hours (9:00 AM - 5:00 PM ...

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 ...

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0248011 Location: Alexandria,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 ...

Data Scientist

Washington, DC · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0246054 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 ...

Data Scientist

Fort George G Meade, MD · Remote

$128K - $214K/yr

Apply expert knowledge in data science to deliver solutions that address clients' business needs ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245622 Location: Arlington,VA,US Share job via: Share Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0246335 Location: Arlington,VA,US Share job via: Share Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

Showing results 41-60

Remote Cfa Data Science information

What is a remote CFA Data Science?

Remote CFA Data Science jobs are positions that combine expertise in data science with knowledge of finance, specifically leveraging the Chartered Financial Analyst (CFA) credential. Professionals in these roles analyze financial data, build predictive models, and provide insights to guide investment decisions—all while working remotely. These jobs typically require strong quantitative skills, proficiency in programming languages like Python or R, and a deep understanding of financial markets. The remote aspect allows for flexible work arrangements, enabling professionals to contribute from anywhere in the world.

What are the key skills and qualifications needed to thrive as a remote CFA Data Science professional?

To excel as a Remote CFA Data Science professional, you typically need a solid background in quantitative analysis, financial modeling, and data science, with a CFA designation and a degree in finance, statistics, or a related field. Familiarity with tools such as Python, R, SQL, and financial analytics platforms, along with proficiency in data visualization software, is essential. Strong problem-solving abilities, communication skills, and self-motivation are vital soft skills for effective collaboration and independent remote work. These competencies ensure accurate financial insights, efficient data-driven decision-making, and effective teamwork across distributed environments.

How do remote CFA Data Science professionals typically collaborate with cross-functional teams despite working remotely?

Remote CFA Data Science professionals often collaborate with investment analysts, portfolio managers, and IT teams through digital communication tools like Slack, Zoom, and project management platforms. Regular virtual meetings, shared dashboards, and collaborative coding environments help streamline workflow and ensure everyone stays aligned on project goals. While time zone differences or limited face-to-face interaction can be challenging, clear documentation and proactive communication are key strategies to maintain effective teamwork.

What is the difference between Remote Cfa Data Science vs Remote Cfa Investment Analyst?

AspectRemote Cfa Data ScienceRemote Cfa Investment Analyst
CredentialsCFA Charter, Data Science skillsCFA Charter, Investment analysis skills
Work EnvironmentData analysis, modeling, programmingFinancial research, portfolio management
Industry UsageFinance, tech, data-driven firmsAsset management, investment firms

Remote Cfa Data Science focuses on applying data analysis and modeling techniques within finance, often requiring programming skills alongside CFA credentials. In contrast, Remote Cfa Investment Analysts primarily conduct financial research and portfolio analysis. Both roles are CFA-certified and operate in finance but differ in daily tasks and skill sets.

What are popular job titles related to Remote Cfa Data Science jobs in Washington?

For Remote Cfa Data Science jobs in Washington, the most frequently searched job titles are:

Infographic showing various Remote Cfa Data Science job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 10% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Pega Data Science and Analytics

System One

Merrifield, VA • Remote

Contractor

Re-posted 9 hours ago


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


System One logo

About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US