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Junior Data Scientist Relocation Jobs in Virginia

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Junior Data Scientist / Performance Data Analyst I Location: Washington, DC / Hybrid / Government Facility as Required Clearance / Background: U.S. Citizen required; ability to obtain DOJ Public ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Junior Data Scientist / Performance Data Analyst I Location: Washington, DC / Hybrid / Government Facility as Required Clearance / Background: U.S. Citizen required; ability to obtain DOJ Public ...

Berriehill Research

Junior Data Scientist

Alexandria, VA · On-site

$80K - $110K/yr

The Capabilities, Analysis and Development (CAD) division of Applied Research Associates, Inc. (ARA) has an outstanding opportunity for a Junior Data Scientist to support a multidisciplinary team ...

Sellers & Associates

JR. Data Scientist

Chesapeake, VA · On-site

$80K - $84K/yr

Sellers & Associates LLC   is seeking a JR. Data Scientist to provide technical support and solutions to NAVSEA's Surface Training Systems Program Office (PMS 339) with specific focus on training ...

All Native Group

Junior Data Scientist

Arlington, VA · On-site

Summary All Native Group, a division of Ho Chunk Incorporated, is seeking a Junior Data Scientist to support a Federal Agency enterprise data management and analytics program. This role supports the ...

New

All Native Group

Junior Data Scientist

Arlington, VA · On-site

Summary All Native Group, a division of Ho Chunk Incorporated, is seeking a Junior Data Scientist to support a Federal Agency enterprise data management and analytics program. This role supports the ...

New

KBR, Inc.

Data Scientist I

Arlington, VA · On-site

KBR seeks a Junior Data Scientist to support the CAPE Joint Data Support (JDS) Division. CAPE JDS ... Additional compensation may be in the form of sign on bonus, relocation benefits, short term ...

KBR

Data Scientist I

Arlington, VA · On-site

KBR seeks a Junior Data Scientist to support the CAPE Joint Data Support (JDS) Division. CAPE JDS ... Additional compensation may be in the form of sign on bonus, relocation benefits, short term ...

Core Interface

Data Scientist

Chantilly, VA · On-site

Mentor junior data scientists and analysts, providing technical guidance and peer reviews. * Present findings and visualizations to technical and non-technical audiences. * Stay current with emerging ...

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Junior Data Scientist Relocation information

What are some common challenges faced by junior data scientists when relocating for a new role?

Junior data scientists relocating for a new role often face challenges such as adapting to a new organizational culture, understanding unfamiliar data systems, and building relationships with new colleagues. Additionally, adjusting to a new city or country can add a layer of complexity, including finding suitable housing and managing logistics. However, many companies offer onboarding programs, mentorship, and relocation assistance to help ease this transition, enabling new hires to quickly become productive members of the team.

What are Junior Data Scientist relocation jobs?

Junior Data Scientist relocation jobs are entry-level positions in data science that specifically offer or require candidates to move to a new city, state, or country for employment. These roles typically involve assisting with data analysis, building machine learning models, and supporting senior data scientists, while providing support such as relocation packages or visa sponsorship to help with the move. Relocation opportunities are common in global tech companies and organizations with multiple offices, and they can provide valuable experience and exposure to new working environments.

What is the difference between Junior Data Scientist Relocation vs Junior Data Analyst?

AspectJunior Data Scientist RelocationJunior Data Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; some roles prefer certifications like Microsoft Certified Data AnalystBachelor's in related fields; certifications are optional
Work EnvironmentTech companies, research labs, or consulting firms; often collaborative and project-basedBusiness, finance, or marketing departments; often in office settings
Employer & Industry UsageUsed across tech, finance, healthcare, and consulting industriesCommon in retail, finance, healthcare, and marketing sectors

Junior Data Scientist Relocation roles focus on developing predictive models and advanced analytics, requiring stronger technical skills. Junior Data Analysts primarily handle data collection, cleaning, and basic reporting. While both roles involve working with data, the Data Scientist position emphasizes statistical modeling and machine learning, whereas the Data Analyst role centers on descriptive analytics and reporting. The choice depends on your technical expertise and career goals.

What are the key skills and qualifications needed to thrive as a Junior Data Scientist, and why are they important?

To thrive as a Junior Data Scientist, you need strong analytical skills, a solid understanding of statistics and machine learning, and a relevant degree in fields such as computer science, mathematics, or statistics. Familiarity with programming languages like Python or R, experience using data visualization tools, and knowledge of SQL databases are typically required. Effective communication, problem-solving abilities, and a willingness to learn make candidates stand out in this role. These competencies are vital for extracting insights from data, collaborating with teams, and driving data-driven decision-making in organizations.
What are popular job titles related to Junior Data Scientist Relocation jobs in Virginia? For Junior Data Scientist Relocation jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Junior Data Scientist Relocation jobs in Virginia look for? The top searched job categories for Junior Data Scientist Relocation jobs in Virginia are:
What cities in Virginia are hiring for Junior Data Scientist Relocation jobs? Cities in Virginia with the most Junior Data Scientist Relocation job openings:
Junior Data Scientist Relocation jobs near you
Infographic showing various Junior Data Scientist Relocation job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 12% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

Junior Data Scientist

AITHERAS, LLC

Arlington, VA • On-site

$100K - $120K/yr

Full-time

Re-posted 7 days ago

Job description

Junior Data Scientist / Performance Data Analyst I

Location: Washington, DC / Hybrid / Government Facility as Required
Clearance / Background: U.S. Citizen required; ability to obtain DOJ Public Trust and Secret clearance; active Secret preferred
Experience Level: 1–3 years

Role Summary

The Junior Data Scientist / Performance Data Analyst I supports a federal Management Information System program by helping collect, clean, validate, analyze, and visualize operational and performance data.

This role is ideal for an early-career data scientist with strong Python, R, SQL, Tableau, machine learning, NLP, and statistical analysis skills who is ready to progress from research, healthcare, or academic data work into federal mission analytics.

Key Responsibilities

  • Collect, clean, validate, and analyze structured and semi-structured program data.

  • Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis, and reduce manual reporting effort.

  • Develop and maintain Tableau dashboards, visual reports, charts, and performance summaries.

  • Support data quality reviews by identifying anomalies, missing values, inconsistent records, and reporting defects.

  • Assist senior analysts with statistical modeling, machine learning, trend analysis, and performance measurement.

  • Translate complex datasets into clear summaries for non-technical stakeholders.

  • Document data sources, business rules, transformation logic, assumptions, and analytical methods.

  • Support recurring weekly, monthly, quarterly, and ad hoc reporting requirements.

  • Review model outputs and error patterns to recommend improvements to analytical workflows.

  • Collaborate with senior data scientists, program analysts, project managers, and government stakeholders.

Required Qualifications

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Information Systems, Neuroscience, Public Health Analytics, or a related quantitative field.

  • 1–3 years of data science, data analytics, research analytics, BI, or machine learning project experience.

  • Hands-on Python experience using pandas, NumPy, scikit-learn, matplotlib, spaCy, Keras, or similar libraries.

  • R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages.

  • SQL experience for querying, joining, filtering, and preparing datasets.

  • Tableau, Power BI, R Shiny, or similar dashboard/data visualization experience.

  • Experience with machine learning classification, NLP, model evaluation, or predictive analytics.

  • Ability to inspect model errors, validate outputs, and communicate improvement opportunities.

  • Strong Excel and Microsoft Office skills.

  • Ability to explain technical findings to non-technical stakeholders.

  • U.S. citizenship and ability to obtain required federal suitability/clearance.

Preferred Qualifications

  • Active Secret clearance or prior federal suitability.

  • Experience with federal, public sector, law enforcement, financial, healthcare, biomedical, or large statistical datasets.

  • Experience supporting performance metrics, KPI reporting, operational reporting, or program evaluation.

  • Experience building client-facing dashboards or interactive data applications.

  • Experience with BERT, NLP, unstructured text, topic segmentation, or terminology data.

  • Familiarity with data governance, data privacy, PII handling, CUI, or secure data environments.

  • AWS, Git, Jupyter Notebook, or cloud analytics exposure.

Tools / Technologies

Python, R, SQL, Tableau, Excel, Jupyter Notebook, Git, AWS, pandas, NumPy, scikit-learn, spaCy, Keras, tidyverse, tidymodels, ggplot2, Shiny, NLP, BERT, dashboards, data visualization, statistical modeling.

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