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Data Science Analytics Jobs in Washington (NOW HIRING)

Fannie Mae

Data Science Advisor

Washington, DC

Develop advanced analytics, AI, and data science solutions to solve complex business and technical challenges and shape technical direction. * Design, test, and validate audit solutions using ...

Fanniemae

Data Science Advisor

Washington, DC · On-site

Develop advanced analytics, AI, and data science solutions to solve complex business and technical challenges and shape technical direction. * Design, test, and validate audit solutions using ...

Fanniemae

Data Science Advisor

Reston, VA · On-site

Develop advanced analytics, AI, and data science solutions to solve complex business and technical challenges and shape technical direction. * Design, test, and validate audit solutions using ...

Apex Systems

Data Science and Analytics

Merrifield, VA · On-site +1

$60 - $72/hr

Job#: 3025922 Data Science and Analytics Specialist! Duration: 9 month with possible extension/conversion to full time Location: Merrifield, VA (Hybrid) Pay Range: $60 - $72 per hr. Specific ...

Maxar Technologies, Inc.

Data Scientist

Reston, VA · On-site

Develop, test, and evaluate predictive models and statistical analyses to support mission-focused use cases. * Contribute to end-to-end data science and data engineering workflows, from data ...

Maxar

Data Scientist

Reston, VA

Develop, test, and evaluate predictive models and statistical analyses to support mission-focused use cases. * Contribute to end-to-end data science and data engineering workflows, from data ...

Allegis Group

Lead Data Scientist

Hanover, MD · On-site

Mentor team members on analytics best practices and data science principles. * Presents findings to stakeholders at all levels. Responsibilities Essential Functions: * Defines, builds, and maintains ...

Allegis Group

Lead Data Scientist

Hanover, MD

Mentor team members on analytics best practices and data science principles. * Presents findings to stakeholders at all levels. Essential Functions: * Defines, builds, and maintains success metrics ...

Deloitte

AI and Data Science Engineer III

Mclean, VA

$115K - $139K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ... Lead the design, development, and delivery of analytics solutions that address complex workforce ...

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Data Science Analytics information

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How much do data science analytics jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for data science analytics in Washington is $62.01, according to ZipRecruiter salary data. Most workers in this role earn between $49.81 and $70.24 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Analytics professional, and why are they important?

To thrive in Data Science Analytics, a strong background in statistics, data modeling, and programming (often with a degree in computer science, mathematics, or a related field) is essential. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI, as well as knowledge of machine learning libraries, is typically required. Critical thinking, problem-solving, and effective communication skills help professionals translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful information from data and driving informed decision-making within organizations.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and making nuanced judgments. Data analysts with skills in machine learning, programming, and data visualization are increasingly valuable in this evolving environment.

How do data science analytics professionals typically collaborate with other departments within an organization?

Data science analytics professionals often work closely with teams across the organization, such as marketing, finance, product development, and IT. Their role involves understanding business needs, gathering requirements, and translating complex data findings into actionable insights for non-technical stakeholders. Effective communication and teamwork are essential, as data scientists may participate in cross-functional meetings, present their analyses, and tailor their recommendations to support strategic decision-making. This collaborative approach not only enhances the impact of analytics projects but also fosters continuous learning and innovation within the organization.

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

AspectData Science AnalyticsData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; proficiency in Excel and SQL
Work EnvironmentOften involves complex modeling, machine learning, and predictive analyticsFocuses on data cleaning, reporting, and visualization
Employer & Industry UsageTech companies, finance, healthcare, and research institutionsBusiness, marketing, finance, and operations across various industries

Data Science Analytics and Data Analysts both work with data, but Data Science Analytics typically involves advanced modeling and predictive techniques, while Data Analysts focus on data reporting and visualization. The roles often overlap, but Data Science Analytics requires more technical skills and a deeper understanding of algorithms.

What is the job of data science and analytics?

Data science and analytics involve collecting, processing, and analyzing large datasets to extract meaningful insights that support decision-making. Professionals in this field use statistical methods, programming tools like Python or R, and visualization techniques to identify trends, solve problems, and improve business outcomes.

What is data science analytics?

Data science analytics is the process of extracting insights and knowledge from data using statistical, mathematical, and computational techniques. It involves collecting, cleaning, analyzing, and visualizing data to help organizations make informed decisions. Professionals in this field use tools like Python, R, and SQL to interpret complex data sets, build predictive models, and identify trends or patterns. Data science analytics plays a key role in industries such as finance, healthcare, retail, and technology, enabling businesses to optimize operations and improve outcomes.

Is 40 too late for data science?

Data science analysts and professionals can enter the field at any age, including 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, as well as gaining experience through projects or certifications. Age is less important than skills, continuous learning, and adapting to industry changes.

What jobs can you get with data science and analytics?

Data science and analytics skills open opportunities for roles such as data analyst, data scientist, business intelligence analyst, machine learning engineer, and data engineer. These positions typically require proficiency in programming languages like Python or R, statistical analysis, and data visualization tools, often within technology, finance, healthcare, or marketing industries.
What are the most commonly searched types of Data Science Analytics jobs in Washington? The most popular types of Data Science Analytics jobs in Washington are:
What are popular job titles related to Data Science Analytics jobs in Washington? For Data Science Analytics jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Science Analytics jobs in Washington look for? The top searched job categories for Data Science Analytics jobs in Washington are:
Data Science Analytics jobs near you
PEGA Data Science and Analytics 16625

PEGA Data Science and Analytics 16625

Seneca Resources Company, LLC

Fairfax, VA • On-site

$58/hr

Contractor

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

Job description

Position Title: Data Science Analyst - Databricks / Python / SQL
Location: Vienna, VA (Hybrid)
Clearance Requirements: None
Position Status: Contract (9-12 Months)
Pay Rate:
  • W2 (with 56 hours PTO): $50/hour
  • C2C: $58/hour
Position Description
We are seeking a Data Science Analyst with strong Databricks, Python/PySpark, and SQL expertise to support advanced marketing data science and customer decisioning initiatives.
In this role, you will work closely with data scientists, marketing analytics teams, and decisioning platform stakeholders to enable faster implementation of Customer Decision Hub (CDH) modeling features, enhance data analysis capabilities, and build scalable analytical frameworks within Databricks.
This position plays a critical role in developing data pipelines, analytical notebooks, and reusable query libraries that enable teams to perform deeper analysis around customer engagement, predictive models, and marketing performance.
The ideal candidate is passionate about data-driven decision making, model performance monitoring, and building scalable analytical tools that empower broader teams to extract insights from complex datasets.
Key Responsibilities
Data Engineering & Analytical Development
  • Build and maintain query libraries and scripts to replicate CDH customer contextual objects within external analytics environments such as Databricks.
  • Develop reusable Python, PySpark, and SQL notebooks to enable scalable data exploration and analytics across teams.
  • Standardize data retrieval processes and analytical workflows to improve efficiency and consistency across the analytics organization.
Marketing & Customer Decisioning Analytics
  • Support analysis related to customer interactions, engagement performance, and marketing model outcomes.
  • Map model outputs to customer interactions to analyze predictor performance, model effectiveness, and engagement outcomes.
  • Conduct distribution analysis, arbitration analysis, and channel engagement analysis to improve marketing effectiveness.
Model Performance Monitoring & Optimization
  • Assist with back-testing methodologies and KPI baseline creation for new modeling features.
  • Support ongoing model performance monitoring and contribute to updates in analytical logic and monitoring frameworks.
  • Analyze propensity scores, model maturity, and feature adoption impact to support decision-making.
Operational Analytics & Insights
  • Create standardized analytical frameworks for actionable monitoring data and operational insights.
  • Develop methods to detect when customer actions are not achieving intended objectives such as acquisition or engagement.
  • Build tools to monitor eligible audiences and campaign targeting effectiveness.
Required Skills / Education
Technical Skills
  • 5-10 years of experience in Data Analytics, Data Science, or Marketing Analytics
  • Strong experience with Databricks
  • Advanced proficiency in Python and PySpark
  • Strong SQL skills for data extraction, transformation, and analysis
  • Experience building data notebooks, query libraries, and analytical pipelines
  • Experience performing data analysis, statistical analysis, and model performance monitoring
Preferred Skills
  • Experience with Pega Customer Decision Hub (CDH) or decisioning platforms
  • Experience supporting marketing analytics or customer engagement analytics
  • Familiarity with predictive modeling workflows and machine learning evaluation
  • Experience working with large-scale datasets in distributed computing environments
Education
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field (or equivalent experience)
About Seneca Resources
At Seneca Resources, we are more than just a staffing and consulting firm-we are a trusted career partner. With offices across the U.S. and clients ranging from Fortune 500 companies to government organizations, we provide opportunities that help professionals grow their careers while making an impact.
When you work with Seneca, you're choosing a company that invests in your success, celebrates your achievements, and connects you to meaningful work with leading organizations nationwide.
We take the time to understand your goals and match you with roles that align with your skills and career path. Our consultants and contractors enjoy competitive pay, comprehensive health, dental, and vision coverage, 401(k) retirement plans, and the support of a dedicated team who will advocate for you every step of the way.
Seneca Resources is proud to be an Equal Opportunity Employer, committed to fostering a diverse and inclusive workplace where all qualified individuals are encouraged to apply.

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