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Postdoc Data Science Remote Jobs in Washington, DC

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 ...

The Senior Analyst will serve on a four-member Agile Data Science delivery team performing ... for remote work to be determined by the program manager and customer. Essential Functions:

Showing results 41-60

Postdoc Data Science Remote information

See Washington, DC salary details

$65.1K

$77.1K

$146.1K

How much do postdoc data science remote jobs pay per year?

As of Sep 6, 2026, the average yearly pay for postdoc data science remote in Washington, DC is $77,061.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,800.00 and $67,400.00 per year, depending on experience, location, and employer.

What is a postdoc data science remote?

A Postdoc Data Science Remote position is a postdoctoral research role focused on data science, where the work can be performed entirely or mostly from a remote location rather than on-site at a university or research institution. These positions typically involve advanced research in areas such as machine learning, statistics, or computational modeling, and are intended for individuals who have recently completed a PhD. Remote postdoc roles offer flexibility in work location while still providing opportunities to collaborate with academic or industry teams, publish research, and further develop specialized expertise in data science.

What are the key skills and qualifications needed to thrive as a postdoc data science remote?

To thrive as a Postdoc Data Science Remote, you need an advanced degree (typically a Ph.D.) in a quantitative field, strong statistical analysis skills, and proficiency in programming languages such as Python or R. Familiarity with machine learning frameworks, data visualization tools, and cloud computing platforms like AWS or Google Cloud is often required. Excellent problem-solving abilities, self-motivation, and effective communication skills are essential for independent research and collaboration in a remote environment. These competencies enable you to conduct high-level research, contribute valuable insights, and efficiently collaborate with global teams despite working remotely.

What are some typical challenges faced by remote postdoc data scientists when collaborating with research teams?

Remote Postdoc Data Scientists often encounter challenges related to communication and coordination across different time zones and digital platforms. Building rapport and maintaining effective collaboration with interdisciplinary teams can require extra effort, particularly when discussing complex research concepts or troubleshooting data issues. To overcome these hurdles, it’s important to proactively schedule regular virtual meetings, document workflows clearly, and leverage collaborative tools for code and data sharing. Developing strong digital communication skills and being adaptable to various team dynamics are essential for success in this role.

What is the difference between Postdoc Data Science Remote vs Data Scientist?

AspectPostdoc Data Science RemoteData Scientist
Required CredentialsPhD in Data Science, Statistics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentRemote research-focused position, often academic or research institutionRemote or on-site, industry-focused, business or tech company
Employer & Industry UsageUniversities, research labs, academic institutionsTech companies, finance, healthcare, retail, industry
Common Search & ComparisonYesYes

The main difference is that a Postdoc Data Science Remote typically requires a PhD and focuses on research in academic or research settings, whereas a Data Scientist often holds a bachelor's or master's degree and works in industry, applying data analysis to business problems. Both roles may be remote, but their work environments and expectations differ significantly.

What are popular job titles related to Postdoc Data Science Remote jobs in Washington, DC?

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

What job categories do people searching Postdoc Data Science Remote jobs in Washington, DC look for?

The top searched job categories for Postdoc Data Science Remote jobs in Washington, DC are:

Infographic showing various Postdoc Data Science Remote job openings in Washington, DC as of June 2026, with employment types broken down into 75% Full Time, 19% Part Time, and 6% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $77,061 per year, or $37 per hour.

Pega Data Science and Analytics

System One

Merrifield, VA • Remote

Contractor

Posted 29 days 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


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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