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Junior Data Scientist Relocation Jobs (NOW HIRING)

Junior Data Scientist

Arlington, VA ยท 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 ...

Junior Data Scientist

Arlington, VA ยท 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 ...

Junior Data Scientist

Alexandria, VA ยท 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 ...

Job Title Junior Data Scientist Summary This role sits at the intersection of real estate economics, urban analysis, and data science. The Junior Data Scientist will support the development and ...

Job Title Junior Data Scientist Summary This role sits at the intersection of real estate economics, urban analysis, and data science. The Junior Data Scientist will support the development and ...

Job Title Junior Data Scientist Summary This role sits at the intersection of real estate economics, urban analysis, and data science. The Junior Data Scientist will support the development and ...

Job Title Junior Data Scientist Summary This role sits at the intersection of real estate economics, urban analysis, and data science. The Junior Data Scientist will support the development and ...

Job Title Junior Data Scientist Summary This role sits at the intersection of real estate economics, urban analysis, and data science. The Junior Data Scientist will support the development and ...

Junior Data Scientist

San Francisco, CA ยท Remote

$10K - $12K/yr

We're looking for a Junior Data Scientist who loves exploring data, uncovering insights, and turning numbers into clear stories. In this friendly, creative team, you'll dive into data's mysteries ...

Job Title Junior Data Scientist Summary This role sits at the intersection of real estate economics, urban analysis, and data science. The Junior Data Scientist will support the development and ...

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Showing results 1-20

Junior Data Scientist Relocation information

See salary details

$37.5K

$122.7K

$196.5K

How much do junior data scientist relocation jobs pay per year?

As of Jul 29, 2026, the average yearly pay for junior data scientist relocation in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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.
More about Junior Data Scientist Relocation jobs
What cities are hiring for Junior Data Scientist Relocation jobs? Cities with the most Junior Data Scientist Relocation job openings:
What states have the most Junior Data Scientist Relocation jobs? States with the most job openings for Junior Data Scientist Relocation jobs include:
Infographic showing various Junior Data Scientist Relocation job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Junior Data Scientist

Junior Data Scientist

AITHERAS, LLC

Arlington, VA โ€ข 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: 1โ€“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
  • Bachelorโ€™s degree in Data Science, Statistics, Computer Science, Mathematics, Information Systems, Neuroscience, Public Health Analytics, or a related quantitative field.

  • 1โ€“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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