ZipRecruiter

Log In

1

Computer Science Data Science Jobs in Ashburn, VA

next page

Showing results 1-20

All JobsComputer Science Data Science JobsComputer Science Data Science Jobs in Ashburn, VA

Computer Science Data Science information

See Ashburn, VA salary details

$38.3K

$125.5K

$200.9K

How much do computer science data science jobs pay per year?

As of Jul 9, 2026, the average yearly pay for computer science data science in Ashburn, VA is $125,513.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,700.00 and $139,100.00 per year, depending on experience, location, and employer.

Is data science high paying?

Data science roles, including those in computer science and data science, are generally high paying due to the specialized skills required, such as programming, statistical analysis, and machine learning. Salaries tend to be above average compared to many other tech positions and often increase with experience, certifications, and advanced skills in tools like Python, R, and SQL.

Is 40 too late for data science?

Computer Science Data Science is a field where individuals can enter at any age, including 40, as long as they develop relevant skills such as programming, statistics, and machine learning. Many professionals successfully transition into data science later in their careers by gaining certifications, building portfolios, and gaining practical experience.

Can computer science majors get data science jobs?

Yes, computer science majors often qualify for data science roles because they typically have strong programming, statistical, and analytical skills. Success in obtaining a data science job may also depend on experience with tools like Python, R, and SQL, as well as knowledge of machine learning and data visualization. Additional certifications or projects can enhance employability in this field.

Will AI replace data science?

AI is transforming data science by automating tasks like data analysis and model development, but it is unlikely to fully replace data scientists. Instead, data scientists will increasingly focus on interpreting AI outputs, developing new algorithms, and applying domain expertise. Skills in programming, statistical analysis, and machine learning tools remain essential for the role.
What are popular job titles related to Computer Science Data Science jobs in Ashburn, VA? For Computer Science Data Science jobs in Ashburn, VA, the most frequently searched job titles are:
What job categories do people searching Computer Science Data Science jobs in Ashburn, VA look for? The top searched job categories for Computer Science Data Science jobs in Ashburn, VA are:
What cities near Ashburn, VA are hiring for Computer Science Data Science jobs? Cities near Ashburn, VA with the most Computer Science Data Science job openings:
Computer Science Data Science jobs near you
Systems Architect - Data Science & Advanced Analytics

Systems Architect - Data Science & Advanced Analytics

Analytica

Bethesda, MD • On-site

$68 - $87.50/hr

Full-time

Posted 28 days ago

Job description

Job Summary:
Analytica is seeking a Systems Architect – Data Science & Advanced Analytics to provide strategic and technical leadership in designing, implementing, and modernizing enterprise data and advanced analytics solutions. This role serves as the lead architect for data science initiatives, responsible for developing scalable analytics environments and machine learning solutions.
Responsibilities:
• Serve as the Lead Architect for enterprise Data Science and Advanced Analytics initiatives.
• Develop and drive the organization's vision and strategy for Big Data, Artificial Intelligence, and Machine Learning solutions.
• Lead the design and implementation of scalable data science environments that support experimentation, model development, validation, and deployment.
• Provide technical leadership and mentorship to Data Scientists, Machine Learning Engineers, and Analytics teams.
• Identify emerging technologies and analytical methodologies that improve organizational capabilities and mission outcomes.
• Architect end-to-end machine learning and advanced analytics solutions using modern data platforms and distributed computing frameworks.
• Design scalable workflows for data preparation, feature engineering, model training, evaluation, and production deployment.
• Collaborate with cross-functional teams to translate business and mission objectives into advanced analytical solutions.
• Guide the development of predictive models, statistical analyses, optimization models, and AI-driven decision support tools.
• Establish best practices for model governance, reproducibility, documentation, and performance monitoring.
• Design enterprise data architectures that enable large-scale analytics and machine learning workloads.
• Lead the development of data pipelines and analytical frameworks utilizing Databricks Lakehouse architecture, Delta Lake, and Apache Spark.
• Ensure data solutions are scalable, reliable, high-performing, and aligned with enterprise architecture standards.
• Architect integrated data ecosystems that support structured, semi-structured, and unstructured data sources.
• Lead modernization initiatives that enhance data accessibility, analytical capabilities, and operational efficiency.
• Partner with executive leadership and business stakeholders to define data and analytics roadmaps.
• Translate complex technical concepts into business-focused recommendations and strategic initiatives.
• Lead architecture reviews and provide expert guidance on enterprise analytics solutions.
• Foster collaboration between Data Science, Data Engineering, and business teams to deliver high-impact analytical products.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related technical discipline
• 10+ years of progressive experience designing and implementing advanced analytics, machine learning, or Big Data solutions
• Demonstrated experience serving as a technical lead or subject matter expert for enterprise data science initiatives
• Experience leading technical teams and architecting large-scale analytics platforms
• Experience architecting enterprise-scale data science and advanced analytics platforms
• Experience developing AI/ML solutions supporting mission-critical or large-scale business operations
• Knowledge of modern data governance and responsible AI principles
• Experience with experimentation frameworks, model operationalization, and analytical product development
• Familiarity with Agile product development and collaborative data science workflows
• Machine Learning model development and lifecycle management
• Statistical analysis and predictive modeling
• Artificial Intelligence and Advanced Analytics methodologies
• Feature engineering and model evaluation techniques
• Data exploration and analytical solution design
• Databricks Lakehouse Platform
• Apache Spark
• Delta Lake
• Distributed data processing frameworks
• ETL/ELT and modern data pipeline architectures
• Data modeling and enterprise data architecture
• Advanced analytics solution design
• Business Intelligence and data visualization concepts
• Dashboard and reporting architecture
• Data storytelling and insight generation
• Technical strategy development
• Enterprise architecture governance
• Cross-functional team leadership
• Stakeholder engagement and executive communication
• Mentoring and coaching technical teams
Preferred:
• Master's degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related technical discipline
• Databricks Certified Professional Data Scientist
• Databricks Certified Professional Data Engineer
• Databricks Certified Machine Learning Associate
• Databricks Certified Developer for Apache Spark
• Apache Spark or Big Data certifications
• Tableau Certified Professional (Desktop or Server)
• Other industry-recognized data science, analytics, or visualization certifications
Company:
Analytica has built a team of exceptionally dedicated analysts, associates and public sector subject matter experts. Founded in 2009, the company is headquartered in Washington, USA, with a team of 51-200 employees. The company is currently Growth Stage.

Apply