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Junior Data Science Rotational Program Jobs (NOW HIRING)

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

... program analysts, project managers, and government stakeholders. Required Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Information Systems ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

... program analysts, project managers, and government stakeholders. Required Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Information Systems ...

Cushman & Wakefield

Junior Data Scientist

Chicago, IL · On-site

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... programs, generally including health, vision, and dental insurance, flexible spending accounts ...

Cushman & Wakefield

Junior Data Scientist

Denver, CO · On-site

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... programs, generally including health, vision, and dental insurance, flexible spending accounts ...

Cushman & Wakefield

Junior Data Scientist

Chicago, IL · On-site +1

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... programs, generally including health, vision, and dental insurance, flexible spending accounts ...

Cushman & Wakefield

Junior Data Scientist

Denver, CO · On-site

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ... programs, generally including health, vision, and dental insurance, flexible spending accounts ...

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All JobsData Science Rotational Program JobsJunior Data Science Rotational Program Jobs

Junior Data Science Rotational Program information

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$34.5K

$79.4K

$127.5K

How much do junior data science rotational program jobs pay per year?

As of Aug 6, 2026, the average yearly pay for junior data science rotational program in the United States is $79,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $81,500.00 per year, depending on experience, location, and employer.

What is the difference between Junior Data Science Rotational Program vs Data Analyst?

AspectJunior Data Science Rotational ProgramData Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; some programs prefer internshipsBachelor's in Analytics, Business, or related field; certifications like Excel, SQL often preferred
Work EnvironmentRotational roles across teams, learning various data functions, often in tech or finance companiesFocused on analyzing data sets, creating reports, supporting decision-making in diverse industries
Employer & Industry UsageCommon in tech, finance, consulting firms offering structured training programsWidely used across industries for data-driven decision support

The Junior Data Science Rotational Program provides a structured, multi-team learning experience for aspiring data scientists, often including rotations across data functions. In contrast, Data Analysts focus on analyzing data, creating reports, and supporting business decisions. Both roles require strong analytical skills, but the rotational program emphasizes broad exposure and skill development, while Data Analysts typically specialize in data interpretation and reporting.

What cities are hiring for Junior Data Science Rotational Program jobs? Cities with the most Junior Data Science Rotational Program job openings:
What are the most commonly searched types of Data Science Rotational Program jobs? The most popular types of Data Science Rotational Program jobs are:
What states have the most Junior Data Science Rotational Program jobs? States with the most job openings for Junior Data Science Rotational Program jobs include:
Junior Data Science Rotational Program jobs near you

Junior Data Scientist

AITHERAS, LLC

Arlington, VA • On-site

$100K - $120K/yr

Full-time

Re-posted 15 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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