2

Full Time Data Science Postdoc Jobs in Washington, DC

Data Science Consultant (Hybrid)

Washington, DC ยท On-site

$90K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Data Science ConsultantLocationWashington, DC Area (Hybrid) Summit is a specialized analytics firm ... Full-time employees are eligible for:Medical, dental, and vision insuranceHealth Savings Account ...

Stay current with emerging data science techniques, tools, and technologies Do you have what it ... UNAVAILABLEEmployment Type: FULL_TIME

Stay current with emerging data science techniques, tools, and technologies Do you have what it ... UNAVAILABLEEmployment Type: FULL_TIME

Stay current with emerging data science techniques, tools, and technologies Do you have what it ... UNAVAILABLEEmployment Type: FULL_TIME

Bachelor's degree in computer science, Software Engineering, or related field. Required: * TS/SCI ... UNAVAILABLEEmployment Type: FULL_TIME

Data Science Engineer, Lead

Mclean, VA ยท On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As a Data Science Engineer, you'll help build advanced technology solutions and implement data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Science Engineer, Lead

Mclean, VA ยท On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As a Data Science Engineer, you'll help build advanced technology solutions and implement data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

If you are a data science or statistics expert with an interest in cybersecurity, we want to hear ... Full time/Part time Full time Pay Basis Salary More Information: * Please visit "Why Carnegie ...

... Full time Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH ... You will contribute across the full data science lifecycle, from problem formulation and data ...

... Full time Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH ... You will contribute across the full data science lifecycle, from problem formulation and data ...

Showing results 21-40

Full Time Data Science Postdoc information

See Washington, DC salary details

$65.1K

$77.1K

$146.1K

How much do full time data science postdoc jobs pay per year?

As of Aug 12, 2026, the average yearly pay for full time data science postdoc 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 are the key skills and qualifications needed to thrive as a full time data science postdoc?

To excel as a Full Time Data Science Postdoc, you need an advanced degree (usually a PhD) in a quantitative field, strong statistical analysis skills, and experience in research methodologies. Proficiency with programming languages such as Python or R, data analysis libraries, and tools like TensorFlow or SQL is typically required. Exceptional problem-solving ability, clear communication, and collaborative skills help you stand out in multidisciplinary research environments. These competencies are essential for generating impactful research outcomes, advancing scientific knowledge, and effectively sharing results with both technical and non-technical audiences.

What is a full time data science postdoc?

A Full Time Data Science Postdoc is a postdoctoral research position focused on applying advanced data analysis, statistical modeling, and machine learning methods to solve complex problems in academic, industrial, or research settings. These positions are typically held by individuals who have recently completed a PhD in fields such as computer science, statistics, mathematics, or related disciplines. The role often involves working on large datasets, developing new algorithms, publishing research findings, and collaborating with interdisciplinary teams. Full-time postdocs are expected to dedicate their working hours entirely to research and related academic activities. This experience often serves as a bridge to permanent positions in academia or industry.

What are the typical collaboration opportunities for a full time data science postdoc within a research institution or industry team?

As a Full Time Data Science Postdoc, you can expect to work closely with multidisciplinary teams that may include data engineers, domain experts, software developers, and senior researchers. Collaboration often involves joint problem-solving, co-authoring publications, and contributing to grant proposals or product development. You'll likely participate in regular meetings, data reviews, and brainstorming sessions, which provide valuable opportunities to expand your professional network and learn from colleagues in different fields. These collaborative experiences are not only essential for project success but also enhance your skills and visibility for future career advancement.
What are popular job titles related to Full Time Data Science Postdoc jobs in Washington, DC? For Full Time Data Science Postdoc jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Full Time Data Science Postdoc jobs in Washington, DC look for? The top searched job categories for Full Time Data Science Postdoc jobs in Washington, DC are:

Senior Data Scientist - Fulltime

Rootshell Enterprise Technologies, Inc.

Arlington, VA โ€ข On-site

Full-time

Re-posted 27 days ago


Job description

Position: Senior Data Scientist
Location: Arlington, VA (5 days on site)
Locals Preferred
Top 3 Skills:
8 years of data science experience Azure, Data Bricks, PySpark
Be able to communicate directly with business stakeholders
Job Description:
The Senior Data Scientist is responsible for developing and maintaining data analytics solutions and machine learning algorithms. As a senior role, the expectations are to mentor junior data scientists, further develop the data science lifecycle and best practices, and contribute to strategic discussions. The measures of an ideal candidate include communication skills, technical proficiency, collaboration, mentorship, strategic-thinking, and willingness to learn new things. This new position will be based in our Arlington, VA headquarters and report to the Director of Business Intelligence. This position is structured within IT under the Vice President of Applications.
The position will be located in Arlington, VA.
Key Responsibilities and Essential Duties:
  • Develop solutions to business problems using the data science life cycle.
  • Develop and maintain data analytics solutions and machine learning algorithms
  • Develop comprehensive project plans for implementing data science projects including solution architectures, resourcing, and dependencies.
  • Use predictive modeling and classification techniques to improve LNG production efficiency and mitigate safety or downtime risks.
  • Mine and analyze data from a data lake or data warehouse to drive optimization.
  • Work with stakeholders to identify opportunities to leverage data science to drive business solutions.
  • Understand where key decisions are needed and communicate options for solving business problems with stakeholders.
  • Provide ETL requirements to data engineers to effectively curate files for data analytics.
  • Document data science algorithms for maintainability.
  • Work with IT leadership to further define the data science life cycle and enhance the data science technology stack and architecture.
  • Design data architecture for future platform growth including data warehousing, machine learning, streaming analytics, and data visualization.
  • Assist in testing, governance, data quality, training, and documentation efforts.
  • Mentor junior data scientists and data analysts.
  • Actively engage in business stakeholder requirement workshops to understand, interpret, and translate requirements into effective technical solutions.

Job Qualifications
  • 8+ Years of practical data science/data analytics experience.
  • Bachelor's degree in computer science, Data Analytics, Engineering, Mathematics, Business, or related field of study.
  • Knowledge in cloud data analytics solutions, managing, developing, and maintaining machine learning solutions.
  • Fundamental skills in data processing languages such as SQL, Python, or Scala.
  • Knowledge in building data science solutions using cloud data services.
  • Ability to self-manage and make your own decisions.
  • Strong presentation skills to effectively communicate results of analytics to stakeholders.
  • Strong documentations skills.
  • Excellent interpersonal and communications skills, with strong critical thinking and attention to detail.
  • Strong work ethic with ability to effectively prioritize, meet deadlines, adapt to changing priorities and business needs, and succeed in a fast-paced environment.
  • Excellent attention to detail and the ability to efficiently summarize and prioritize information.
  • Preferred Qualifications
  • Experience with Azure infrastructure especially Azure Data Lake and Azure Data Factory.
  • Experience using Databricks for machine learning algorithm development
  • Experience in coding languages primarily PySpark, Python,and SQL.
  • Experience in agile development and sprint planning.
  • Experience utilizing DevOps
  • Experience working with streaming datasets/IoT.
  • Strong technical writing skills.