ZipRecruiter

Log In

3

Data Science Entry Level Remote Jobs in Washington

System One

Be Seen First

Data Scientist (AI)

Washington, DC · Remote

$125K - $190K/yr

... REMOTE US Citizen What You Will Need: * Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field. * Solid experience in data science, machine ...

rockITdata

Full Stack Data Scientist

Arlington, VA · Remote

This is a Remote position. Key Responsibilities * Data Collection and Preprocessing: * Develop ... Integrate data science workflows with existing systems and applications to enable seamless data ...

10a Labs

Data Engineer, Web Scraping

Washington, DC · Remote

$105K - $125K/yr

Requirements: * Degree (or equivalent work experience) in Computer Science, Engineering ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

Redhorse Corporation

Data Analyst

Arlington, VA · On-site +1

Our world class data scientists wring the value from data, and Agile helps us deliver solutions ... for remote work to be determined by the program manager and customer. Essential Functions:

KBR

Remote Sensing Requirements Analyst

Washington, DC · On-site +1

Bachelor's degree in GIS, remote sensing, engineering, data science or a related technical field. * 1-3 years of relevant work experience or equivalent combination of education and project-based ...

Catalist

Data Services Engineer

Washington, DC · Remote

$117K - $140K/yr

For over 20 years, Catalist has been a leader in civic data and data science innovation. Our ... Professional Development and Remote Work Expenses Eligible employees may be reimbursed up to $750 ...

next page

Showing results 1-20

All JobsData Science Entry Level Remote JobsData Science Entry Level Remote Jobs in Washington

Data Science Entry Level Remote information

What are some typical challenges entry-level data scientists face when working remotely, and how can they overcome them?

Entry-level data scientists working remotely often encounter challenges such as limited access to mentorship, difficulty in collaborating on complex projects, and adjusting to asynchronous communication. To overcome these, it's important to proactively seek guidance from senior team members through regular check-ins, participate actively in team meetings and online forums, and document your work thoroughly for transparency. Leveraging collaborative tools like shared code repositories and communication platforms can also help maintain strong connections with your team and ensure project alignment.

What are the key skills and qualifications needed to thrive as an entry-level remote Data Scientist, and why are they important?

To thrive as an entry-level remote Data Scientist, you need a solid background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree or certification. Familiarity with tools like Jupyter Notebook, SQL databases, and machine learning libraries such as scikit-learn or TensorFlow is commonly required. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project management. These competencies enable effective data-driven insights, seamless teamwork, and measurable contributions in a distributed work environment.

What is the difference between Data Science Entry Level Remote vs Data Analyst Entry Level Remote?

AspectData Science Entry Level RemoteData Analyst Entry Level Remote
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentRemote, collaborative teams, often with cross-functional departmentsRemote, often working independently or with business teams
Employer & Industry UsageTech companies, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare

While both roles are entry-level remote positions involving data, Data Science Entry Level Remote focuses on programming, machine learning, and predictive modeling, whereas Data Analyst Entry Level Remote emphasizes data visualization, reporting, and interpreting data for business insights. Candidates should choose based on their skills and career interests.

What are data science entry level remote jobs?

Data science entry level remote jobs are positions suitable for individuals who are just starting their careers in data science and prefer or require the flexibility to work from home or any location outside the traditional office setting. These roles typically involve tasks such as data cleaning, basic statistical analysis, creating simple data visualizations, and assisting with machine learning projects under supervision. Entry level data scientists often work closely with more experienced team members and use tools like Python, R, SQL, and Excel. Remote roles require good communication skills and self-motivation, as collaboration happens online. These positions are a great way to gain practical experience and develop technical skills in the field of data science.
What are the most commonly searched types of Data Science Remote jobs in Washington? The most popular types of Data Science Remote jobs in Washington are:
What are popular job titles related to Data Science Entry Level Remote jobs in Washington? For Data Science Entry Level Remote jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Science Entry Level Remote jobs in Washington look for? The top searched job categories for Data Science Entry Level Remote jobs in Washington are:
What cities in Washington are hiring for Data Science Entry Level Remote jobs? Cities in Washington with the most Data Science Entry Level Remote job openings:
Data Science Entry Level Remote jobs near you
Infographic showing various Data Science Entry Level Remote job openings in Washington as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Data Scientist (AI)

Data Scientist (AI)

System One

Washington, DC • Remote

$125K - $190K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 9 days ago

Be Seen First

After you apply to this job, you can share why you’re interested to jump to the top of the candidate list.

Job description

AI Data Scientist 
REMOTE 
US Citizen 
What You Will Need:

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
  • Solid experience in data science, machine learning, or applied analytics roles
  • Experience developing and applying machine learning models, including:
    • Natural Language Processing (NLP)
    • Semantic search or information retrieval
    • Entity resolution or relationship modeling
  • Experience working with large-scale structured and unstructured data, particularly document-based datasets (e.g., text, PDFs, images).
  • Experience leveraging metadata and extracted features to support analytics and modeling.
  • Strong proficiency in Python for data science and machine learning (e.g., Pandas, Scikit-learn, PyTorch or TensorFlow) and solid SQL skills.
  • Experience working with Databricks and/or Spark-based environments for scalable data processing.
  • Familiarity with AWS cloud services for data access, processing, or model deployment.
  • Experience working with data lake or lakehouse architectures (e.g., AWS S3, Databricks), including querying and transforming large-scale datasets.
  • Experience integrating models into production environments (e.g., APIs, batch pipelines, or embedded analytics platforms).
  • Understanding of model evaluation, validation, and performance metrics.


What Would Be Nice To Have:

  • Experience working with Palantir Foundry and/or Palantir AIP, particularly in support of AI-enabled search or analytics workflows.
  • Consulting experience strongly preferred
  • Experience building AI-enabled search solutions, including semantic search, document retrieval, and ranking models.
  • Experience with multimodal data processing, including text and image-based analytics.
  • Familiarity with OCR/ICR pipelines and document intelligence use cases.
  • Experience with enterprise ML platforms (e.g., AWS SageMaker, Databricks Machine Learning) for model development, deployment, and lifecycle management.
  • Experience developing explainable AI (XAI) solutions, including confidence scoring and traceability of results.
  • Experience designing analytics dashboards or reporting solutions for end users.
  • Previous experience supporting federal clients or working in regulated environments.
  • Experience in a consulting firm and/or client-facing delivery role.
  • Experience supporting training, user enablement, or scaling analytics capabilities across teams.
  • Familiarity with graph-based analytics, ontology-driven models, or relationship mapping.


What You Will Do:

  • Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions.
  • Design and develop machine learning models and analytical approaches to support search, discovery, and insight generation across structured and unstructured data.
  • Build and implement NLP, semantic search, and entity resolution capabilities to enable advanced information retrieval and relationship analysis.
  • Leverage document-based data (e.g., OCR/ICR outputs, metadata, and free text) to extract insights and support downstream analytics and search solutions.
  • Collaborate with data engineers to integrate models into production environments, including Palantir Foundry, Databricks, and AWS-based platforms.
  • Develop model evaluation frameworks, confidence scoring, and explainability approaches to ensure transparency and usability of AI outputs.
  • Support development of analytics, reporting, and dashboards to drive operational insights and decision-making.

Contribute to solution design, proposal support, and thought leadership in AI/analytics capabilities

Company Description

System One is a leading provider of specialized, highly technical services and solutions to critical infrastructure, technology, life sciences, and government sectors. We partner with large private and public organizations who trust us to execute their complex, mission-critical initiatives through our outsourced services and workforce solutions.