1

Applied Mathematics Computer Science Jobs in Ashburn, VA

Data Scientist

Springfield, VA · On-site

$86.60 - $181.80/hr

  • Medical

  • Retirement

  • PTO

MS in a quantitative field such as Computer Science, Statistics, Applied Mathematics, etc.At least 3 years of experience in deploying supervised and non-supervised machine learning algorithms within ...

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical ...

Hyperspectral Image Scientist

Springfield, VA · On-site

$92K - $166K/yr

  • Medical

  • Retirement

  • PTO

Bachelor's degree in Remote Sensing, Imaging Science, Physics, Electrical Engineering, Geospatial Science, Applied Mathematics, Computer Science, or a related technical field. * Minimum of 8-12 years ...

Hyperspectral Image Scientist

Springfield, VA · On-site

$92.30 - $166.85/hr

  • Medical

  • Retirement

  • PTO

Bachelor's degree in Remote Sensing, Imaging Science, Physics, Electrical Engineering, Geospatial Science, Applied Mathematics, Computer Science, or a related technical field. * Minimum of 8-12 years ...

New

Bachelor's degree in Remote Sensing, Imaging Science, Physics, Electrical Engineering, Geospatial Science, Applied Mathematics, Computer Science, or a related technical field. * Minimum of 8-12 years ...

GNSS Scientist

Washington, DC · On-site

$105K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Degree in geodesy, geophysics, physics, applied mathematics, computer science, or a related field * At least six years of experience, this may include relevant work toward an advanced degree * Python ...

Desired: • MS in a quantitative field such as Computer Science, Statistics, Applied Mathematics, etc. • At least 3 years of experience in deploying supervised and non-supervised machine learning ...

GNSS Scientist

Washington, DC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Degree in geodesy, geophysics, physics, applied mathematics, computer science, or a related field * At least six years of experience, this may include relevant work toward an advanced degree * Python ...

Data Scientist

Bethesda, MD · On-site

$160 - $190/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's degree in Mathematics, Applied Mathematics, Applied Statistics, Machine Learning, Data Science, Computer Science or related field or equivalent combination of education and experience.

Showing results 41-60

Applied Mathematics Computer Science information

What is the difference between Applied Mathematics Computer Science vs Data Analyst?

AspectApplied Mathematics Computer ScienceData Analyst
Required CredentialsBachelor's or higher in applied math, computer science, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageTech firms, research institutions, universitiesCorporations, consulting firms, government agencies
Common Search & ComparisonApplied Mathematics Computer Science vs Data Analyst

Applied Mathematics Computer Science focuses on developing algorithms, modeling, and computational techniques, often requiring programming and mathematical skills. Data Analysts interpret data to provide insights, primarily using statistical tools. While both roles involve data and programming, Applied Mathematics Computer Science emphasizes algorithm development and complex modeling, whereas Data Analysts focus on data interpretation and reporting.

Is applied mathematics related to computer science?

Applied mathematics is closely related to computer science, as it provides foundational concepts such as algorithms, data analysis, and modeling that are essential in computing. Many computer science roles, including those in software development and data science, require strong mathematical skills and knowledge of mathematical tools like linear algebra and calculus.

What can I do with a degree in applied mathematics and computer science?

A degree in applied mathematics and computer science prepares individuals for roles such as data analyst, software developer, quantitative analyst, or systems engineer. These positions often require strong problem-solving skills, programming knowledge, and familiarity with tools like Python, R, or MATLAB, and may involve working in industries such as finance, technology, or research.

What can you do with a BS in applied mathematics computer science?

A BS in applied mathematics and computer science prepares graduates for roles such as data analyst, software developer, quantitative analyst, or systems analyst. These positions often require skills in programming, statistical analysis, and problem-solving, and may involve working with tools like Python, R, or SQL in various industries including finance, technology, and engineering.

What are popular job titles related to Applied Mathematics Computer Science jobs in Ashburn, VA?

For Applied Mathematics Computer Science jobs in Ashburn, VA, the most frequently searched job titles are:

What job categories do people searching Applied Mathematics Computer Science jobs in Ashburn, VA look for?

The top searched job categories for Applied Mathematics Computer Science jobs in Ashburn, VA are:

What cities near Ashburn, VA are hiring for Applied Mathematics Computer Science jobs?

Cities near Ashburn, VA with the most Applied Mathematics Computer Science job openings:

$86.60 - $181.80/hr

Other

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Job ID329808Job Title: Data ScientistJob Category: Information TechnologyTime Type: Full timeMinimum Clearance Required to Start: TS/SCI with PolygraphEmployee Type: RegularPercentage of Travel Required: NoneType of Travel: None* * *The Opportunity:The Data Scientist will support the Business Analytics division which is responsible for identifying, acquiring, transforming, and analyzing the Agency's data to assess agency performance and inform senior leadership decision making. A qualified candidate will support key analytical tasks to include data integration and modeling; operational research and program evaluation; interpreting data made available by agency stakeholders and data owners; and reporting and presenting conclusions to leadership.Responsibilities:Identify, acquire, clean, transform, and analyze agency data to support performance assessment and leadership decision-making.Integrate data from multiple sources and build data models to support analytical and operational needs.Conduct operational research, statistical analysis, and program evaluations to understand trends and drive recommendations.Interpret data provided by stakeholders and data owners to develop meaningful insights.Develop, deploy, and maintain data mining solutions and relational data models.Use statistical analysis and data visualization tools to analyze operational data and communicate results.Create rigorous mathematical algorithms and data-driven applications to solve complex business problems.Identify enhancements, new capabilities, proofs of concept, and business cases to improve systems and analytics.Provide training and support as new data systems, tools, and capabilities transition to operational use.Report and present analytical findings, insights, and recommendations to senior leadership in clear, actionable formats.Support and guide technical and analytical teams working on complex data, intelligence, or analytics solutions.Work independently in a fast-paced, matrixed environment while managing multiple analytical tasks.Qualifications:Required:Bachelor of Science degree or higher in statistics, mathematics, computer science, remote sensing, earth science, physical science or related technical or scientific field; or similar course of study at an accredited school (or substituted education and experience).Minimum 7 years of experience.Minimum 2 years of experience in developing in DBMS environments (Oracle, PostgreSQL, Microsoft SQL Server).Minimum 2 years of experience in employing data ETL and manipulation activities (Pandas, NumPy, etc.).Minimum 1 year of experience in deploying data mining capabilities in addition to relational data modeling efforts.Minimum 1 year of experience using software packages used for advanced statistical analysis of operational data and tools for data visualization (Tableau, D3, ggplot, matplotlib).Demonstrated participation in and/or directing the activities of highly skilled technical and analytical teams responsible for developing solutions to highly complex analytical/intelligence problems.Ability to develop and deploy rigorous mathematical algorithms and applications in response to complex business use case requirements.Ability to identify systems enhancements and new capabilities, concept demonstrators, capability business cases.Ability to provide training as new systems and capabilities move into operational use.Ability to work independently in a fast paced, matrix-oriented environment.Desired:MS in a quantitative field such as Computer Science, Statistics, Applied Mathematics, etc.At least 3 years of experience in deploying supervised and non-supervised machine learning algorithms within a Big Data environment.At least 2 years of experience in planning and implementing data engineering activities encompassing structured, semi-structured, and non-structured data sets.At least 2 year of experience working within an Agile oriented environment.At least 1 year of experience working with AWS infrastructure.Possesses working knowledge of version control platforms (GitLab, GitHub, etc.).Exposure to marketing analytics, consumer analytics, operations analysis, human capital analytics, or other relevant fields.Manipulate, synthesize and visualize large datasets from and between knowledge domains, using appropriate programming languages and software, including but not limited to Semantic Query Language (SQL), Apache Spark, Elasticsearch, R, Python, Tableau, Kibana and others as technology evolves.Experience with providing customer service support activities across organizational elements.Familiarity with Intelligence Community data, software, services and business analytic tools.Exceptional oral and written communication and briefing skills.What You Can Expect:A culture of integrity.At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.An environment of trust.CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.A focus on continuous growth.Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.Pay Range:There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.The proposed salary range for this position is:$86,600 - $181,800CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic. #J-18808-Ljbffr