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Applied Data Science Jobs in Washington (NOW HIRING)

Agile Defense

Data Scientist

Falls Church, VA · On-site

... applied data science, machine learning engineering, or data pipeline development. • Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark) Preferred : • ...

Expression

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

The role combines data engineering, applied data science, and production ML responsibilities and emphasizes reproducibility, testing, secure deployment, technical communication, and continuous ...

New

Expression

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

The role combines data engineering, applied data science, and production ML responsibilities and emphasizes reproducibility, testing, secure deployment, technical communication, and continuous ...

New

Agile Defense

Data Scientist

Fort George G Meade, MD · On-site

$100 - $130/hr

Preferred Skills and Experience * 4+ years of experience in applied data science, machine learning engineering, or data pipeline development. * Proficient in Python, SQL, and distributed data ...

Agile Defense

Data Scientist

Washington, DC · On-site

$130 - $155/hr

Required Skills * 4+ years of experience in applied data science, machine learning engineering, or data pipeline development. * Proficient in Python, SQL, and distributed data frameworks (e.g., Spark ...

SteerBridge

Senior Data Scientist

Vienna, VA · On-site

... data science framing activities, including but not limited to working with partners to identify ... S. or Ph.D. in Applied Mathematics, Statistics, or a related field; alternatively, a Bachelor ...

SteerBridge

Senior Data Scientist

Vienna, VA · On-site

... data science framing activities, including but not limited to working with partners to identify ... S. or Ph.D. in Applied Mathematics, Statistics, or a related field; alternatively, a Bachelor ...

SteerBridge

Senior Data Scientist

Vienna, VA · On-site

... data science framing activities, including but not limited to working with partners to identify ... S. or Ph.D. in Applied Mathematics, Statistics, or a related field; alternatively, a Bachelor ...

SteerBridge

Senior Data Scientist

Vienna, VA

$160K - $180K/yr

... data science framing activities, including but not limited to working with partners to identify ... S. or Ph.D. in Applied Mathematics, Statistics, or a related field; alternatively, a Bachelor ...

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Applied Data Science information

What is an applied data science?

An Applied Data Science job focuses on using data science techniques to solve real-world problems in business, healthcare, finance, and other industries. It involves collecting, processing, analyzing, and interpreting large datasets to extract meaningful insights. Applied data scientists use machine learning, statistical modeling, and programming skills to develop data-driven solutions. They work closely with stakeholders to implement models that drive decision-making and improve operations.

What does an applied data science do?

An Applied Data Science professional typically spends their days gathering, cleaning, and analyzing structured and unstructured data to uncover patterns and generate actionable insights. They frequently build and deploy predictive models, collaborate with business and engineering teams to define project requirements, and communicate findings through clear reports or visualizations. Additionally, they often engage in regular team meetings, contribute to ongoing process improvements, and continuously learn new technologies or methodologies to enhance project outcomes. This combination of technical and collaborative work makes the role both dynamic and highly impactful within most organizations.

What are the key skills and qualifications needed to thrive in applied data science?

To thrive in Applied Data Science, you need a strong background in statistics, machine learning, data analysis, and programming languages such as Python or R, typically evidenced by a degree in a quantitative field. Familiarity with data visualization tools (like Tableau), cloud platforms (AWS, GCP), and certifications in data science or analytics are highly valued. Effective communication, problem-solving, and teamwork are crucial soft skills to convey insights and collaborate with both technical and non-technical stakeholders. These competencies are critical for transforming complex data into actionable business strategies and driving measurable impact within organizations.

What can you do with an applied data science degree?

An applied data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, or business intelligence analyst. Graduates can work in industries like finance, healthcare, technology, and marketing, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL.

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

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

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

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

What cities in Washington are hiring for Applied Data Science jobs?

Cities in Washington with the most Applied Data Science job openings:

Applied Data Science jobs near you
Infographic showing various Applied Data Science job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

SAP Data Scientist

Accenture Federal Services

Washington, DC • On-site

Full-time

Re-posted 16 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

47th of 494 rated business services

Job description

The work

The Data Scientist is responsible for analyzing complex datasets to drive business decisions and deliver actionable insights across SAP and nonSAP environments. This role leverages statistical methods, data modeling, and visualization techniques to solve business challenges and support decisionmaking. The Data Scientist will gather, wrangle, and validate data; develop analytic pipelines; design predictive models; and communicate findings through dashboards, KPIs, and executiveready visualizations. The role collaborates closely with crossfunctional teams to implement datadriven solutions and deliver AI/MLbased frameworks that generate measurable business value.

Key responsibilities:

  • Collect, organize, and wrangle data from SAP and nonSAP sources; build reusable analytics and data pipelines
  • Clean, validate, and preprocess structured and unstructured datasets to ensure highquality inputs for analysis
  • Conduct statistical and exploratory analyses to identify trends, patterns, and business insights
  • Develop predictive and prescriptive models using SAP Analytics Cloud Predictive or external ML frameworks integrated with SAP data
  • Enhance data collection procedures to support analytic system development
  • Create dashboards, KPIs, and data visualizations to clearly communicate findings to business stakeholders
  • Support data reconciliation and KPI validation between source systems and analytics outputs
  • Collaborate with IT, business analysts, and leadership to implement datadriven solutions
  • Design and deliver AI/MLbased decisionmaking frameworks; measure and justify model value

Here's what you need:

  • 5+ years of experience in data science, advanced analytics, or applied data modeling (ideally with SAP data)
  • Proficiency in Python or R, SQL, and data manipulation libraries
  • Experience with SAP Analytics Cloud Predictive, SAP BTP AI Core, or integrating SAP data with external ML platforms
  • Strong understanding of data preparation and feature engineering for large ERP datasets
  • Solid statistical and machinelearning background with the ability to explain models to nontechnical audiences
  • Strong analytical, problemsolving, and communication skills

Nice to have:

  • SAP BW/4HANA experience
  • Familiarity with SAP HANA modeling, BW queries, or SAP BTP services
  • Experience with cloudbased ML platforms (AWS Sagemaker, Azure ML, etc.)
  • Background in data governance, data quality frameworks, or production model deployment

Eligibility requirements:

  • U.S. Citizenship (no duals)
  • Ability to obtain a client Public Trust government clearance

What Accenture Federal Services employees say

Pay

Benefits

Hours and flexibility

Workplace

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