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Data Science Microsoft Jobs in Washington (NOW HIRING)

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Required Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science ... Strong Excel and Microsoft Office skills. * Ability to explain technical findings to non-technical ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Required Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science ... Strong Excel and Microsoft Office skills. * Ability to explain technical findings to non-technical ...

Zantech

Data Scientist

Arlington, VA · On-site

$120 - $180/hr

D. in Data Science, Statistics, Computer Science, or a related quantitative field * Not specified * Cloud ML/AI platform certification (e.g., AWS Certified Machine Learning - Specialty, Microsoft ...

TULK llc.

Data Scientist - Mid

Springfield, VA · On-site

$120 - $155/hr

This role is ideal for a cleared data professional with experience using data science methods ... Proficiency with Microsoft Office tools, including Excel and PowerPoint. Desired Skills and ...

Apex Systems

Data Scientist (AI/ML)

Alexandria, VA · On-site

This role requires expertise in statistical modeling, predictive analytics, data science ... Strong proficiency with Microsoft Office Suite, including the ability to develop technical ...

Tulk LLC

Data Scientist - Mid

Fort Belvoir, VA · On-site

$120K - $155K/yr

This role is ideal for a cleared data professional with experience using data science methods ... Proficiency with Microsoft Office tools, including Excel and PowerPoint. Desired Skills and ...

RDR Inc

Cyber Data Science Engineer

Chantilly, VA · On-site

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. ... Support legacy visualization and situational awareness tools based on Microsoft Excel * Collaborate ...

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All JobsData Science Microsoft JobsData Science Microsoft Jobs in Washington

Data Science Microsoft information

See Washington salary details

$52.1K

$186.9K

$275.8K

How much do data science microsoft jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science microsoft in Washington is $186,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,200.00 and $192,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Science Microsoft vs Data Analyst Microsoft?

AspectData Science MicrosoftData Analyst Microsoft
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; often includes certifications in machine learning or AIBachelor's degree in Statistics, Business, or related fields; certifications in data analysis tools are common
Work EnvironmentFocus on developing models, algorithms, and predictive analytics; often involves programming and machine learningFocus on interpreting data, generating reports, and supporting decision-making; involves data visualization and SQL
Employer & Industry UsageUsed across tech companies, finance, healthcare, and consulting firms for advanced analyticsCommon in retail, finance, healthcare, and corporate sectors for business insights

Data Science Microsoft professionals typically develop predictive models and work with machine learning, requiring advanced technical skills. Data Analysts Microsoft focus on analyzing data sets, creating reports, and supporting strategic decisions. Both roles are vital in data-driven organizations but differ in technical complexity and scope.

What are popular job titles related to Data Science Microsoft jobs in Washington?

For Data Science Microsoft jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Data Science Microsoft jobs in Washington look for?

The top searched job categories for Data Science Microsoft jobs in Washington are:

Data Science Microsoft jobs near you
Infographic showing various Data Science Microsoft job openings in Washington as of August 2026, with employment types broken down into 48% Full Time, 11% Part Time, 13% Temporary, and 28% Contract. Highlights an 72% In-person, and 28% Remote job distribution, with an average salary of $186,899 per year, or $89.9 per hour.

Junior Data Scientist

AITHERAS, LLC

Arlington, VA • On-site

$100K - $120K/yr

Full-time

Re-posted 29 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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