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Computer Data Scientist Jobs (NOW HIRING)

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences * 2-10+ years of experience in data ...

Data Scientist

Irving, TX ยท On-site

$65 - $70/hr

We are currently seeking a Data Scientist for our client in the Retail domain. We value our ... Bachelor's Degree or higher in Computer Science/Engineering/Math, or relevant experience.

Apply Natural Language Processing and Computer Vision to solve business use cases, * Strong skills in scientific data analyses, modeling, visualization and communication of results. * Knowledge of ...

Apply Natural Language Processing and Computer Vision to solve business use cases, * Strong skills in scientific data analyses, modeling, visualization and communication of results. * Knowledge of ...

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (Ph.D. preferred). * 5+ years of hands-on experience applying machine learning and ...

Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join our dynamic and multidisciplinary team of independent and entrepreneurial computer scientists and ...

Data Scientist Location: Sunnyvale, CA Sponsorship: Yes Relocation: Yes Industry: eCommerce Are you ... PhD in Computer Science, Statistics or related field; OR a Master's degree or equivalent in ...

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. * Strong hands-on experience with Snowflake, including solution ...

Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join our dynamic and multidisciplinary team of independent and entrepreneurial computer scientists and ...

Bachelor''s or Master''s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. * Proficiency in Python for data analysis and modeling. * Experience with SQL for data ...

Data Scientist

Rosemont, IL ยท On-site

$99K - $124K/yr

Bachelor's Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization and 3 to 5 years of experience in ...

... computer vision, generative AI) * Experience with at least one statistical programming language ... data science solutions in a regulatory environment (including but not limited to insurance, healt ...

Data Scientist

Austin, TX ยท On-site +1

MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred * Must be a U.S. Citizen

Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join our dynamic and multidisciplinary team of independent and entrepreneurial computer scientists and ...

Bachelor's or Master'sDegree in a technical field (e.g., data science, statistics, computer science, mathematics, engineering, physical/biological sciences, or geographic information systems (GIS))or ...

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Computer Data Scientist information

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$46K

$165K

$243.5K

How much do computer data scientist jobs pay per year?

As of Jul 12, 2026, the average yearly pay for computer data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a Computer Data Scientist?

A Computer Data Scientist is a professional who uses advanced analytical, statistical, and programming skills to collect, analyze, and interpret large sets of data. They apply techniques from computer science, mathematics, and statistics to extract meaningful insights, build predictive models, and help organizations make data-driven decisions. Computer Data Scientists often work with big data technologies, machine learning algorithms, and data visualization tools to solve complex business problems. Their work supports strategic planning, product development, and operational improvements in various industries.

What is the difference between Computer Data Scientist vs Data Analyst?

AspectComputer Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fields; often includes programming certificationsBachelor's degree in Statistics, Mathematics, or related fields; certifications like Microsoft Data Analyst are common
Work EnvironmentTypically in tech companies, research labs, or data-driven organizations; involves complex data modeling and machine learningIn various industries like marketing, finance, healthcare; focuses on data visualization, reporting, and basic analysis
Employer & Industry UsageUsed in tech, finance, healthcare, and research sectors for advanced data modelingWidely used across industries for business insights and reporting

Computer Data Scientists and Data Analysts both work with data, but Data Scientists focus on complex modeling, machine learning, and programming, often requiring advanced degrees. Data Analysts primarily handle data reporting, visualization, and basic analysis. The roles differ in complexity, tools, and typical responsibilities, though they share foundational skills in data handling.

How do Computer Data Scientists typically collaborate with other departments within an organization?

Computer Data Scientists often work closely with teams such as engineering, product management, and business analytics to translate complex data insights into actionable strategies. They regularly participate in cross-functional meetings to understand business problems, define data requirements, and present findings. Effective communication and teamwork are essential, as data scientists must ensure their models and analyses align with organizational goals and can be practically implemented by other departments.

What are the key skills and qualifications needed to thrive as a Computer Data Scientist, and why are they important?

To excel as a Computer Data Scientist, you need a solid background in statistics, mathematics, programming (often Python or R), and a degree in computer science or a related field. Familiarity with data analysis tools like SQL, TensorFlow, scikit-learn, and experience with big data platforms such as Hadoop or Spark are highly valuable. Strong problem-solving abilities, critical thinking, and effective communication skills help translate data findings into actionable business insights. These skills are essential for extracting meaningful information from complex datasets and driving data-driven decision-making.
What cities are hiring for Computer Data Scientist jobs? Cities with the most Computer Data Scientist job openings:
What are the most commonly searched types of Computer Data Scientist jobs? The most popular types of Computer Data Scientist jobs are:
Infographic showing various Computer Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist

Data Scientist

Elder Research

Arlington, VA โ€ข On-site

Full-time

Re-posted 6 days ago


Job description

Data Scientist
General Information
Requisition # 674
Locations USA-VA-Arlington
Posting Date 03/04/2026
Security Clearance Required - IRS MBI
Remote Type Hybrid
Time Type Full time
Description & Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Scientist to join our team in Arlington, VA. This role is a remote role preferably in the Washington DC area.
As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data environments. You will work directly with government clients, program managers, and technical teams to understand business and compliance challenges, design analytical approaches, and deliver data-driven solutions that inform enforcement, audit prioritization, and fraud prevention efforts.
In this role, you will develop, test, and deploy predictive and statistical models using structured and unstructured data to identify anomalies, non-compliance risk, and potential fraud within tax records and related datasets. You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication.
Responsibilities include but are not limited to:
  • Prior programming experience, preferably in Python or R, including data exploration, feature engineering, model development, and writing modular, reusable, well-documented code within an iterative development process that includes peer review and collaboration
  • Demonstrated experience using Python, SQL, and Databricks for data analysis, modeling, statistical evaluation, and working with Markdown for technical documentation
  • Explore, clean, and wrangle large, complex datasets to uncover insights and identify opportunities for data science-driven solutions in support of assessments, gap analyses, and actionable recommendations for IRS stakeholders
  • Design, develop, test, validate, and implement quantitative and qualitative data science solutions and predictive risk models (including audit selection, refund review, and fraud prevention initiatives) that are modular, maintainable, adaptable to evolving government and regulatory requirements, and supported by robustness, sensitivity, and significance testing to ensure defensible and explainable results
  • Apply statistical and machine learning techniques (supervised and unsupervised) to anomaly detection, fraud identification, and non-compliance risk scoring to help prioritize cases based on compliance risk, fraud indicators, and business impact
  • Collaborate with clients, subject matter experts, and cross-functional teams to refine problem statements, requirements, and analytical approaches, while demonstrating the ability to work independently in a collaborative, fast-paced environment
  • Prepare and deliver technical and non-technical briefings, reports, and presentations to audiences with varying levels of analytical sophistication, translating business and compliance needs into technical solutions with strong interpersonal, written, and verbal communication skills

Minimum Qualifications:
  • Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences
  • 2-10+ years of experience in data science, analytics, or a related technical field
  • Experience using version control systems (e.g., Git) and collaborative development practices
  • Strong understanding of relational databases and SQL
  • Comfortable learning new tools, methodologies, and domains, including working outside your comfort zone
  • Strong analytical mindset with a willingness to tackle complex mathematical and statistical challenges
  • Willingness to travel and work on-site at client locations as required by project needs

Preferred Qualifications:
  • Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM)
  • Experience with PySpark, Unity Catalog, and Jobs in Databricks, with familiarity using platforms and tools such as Databricks and AWS
  • Experience with Natural Language Processing (NLP) and text analytics applied to unstructured documents or case notes, as well as graph analytics and network analysis to identify relationships, fraud rings, or interconnected entities
  • Experience with containerization and environment management (e.g., venv, conda)
  • Experience operating in secure or remote government environments, including use of bash and command-line tools

Clearance Requirements:
  • Must currently possess an IRS Public Trust clearance with Full Background Investigation

Physical Requirements:
  • Must be able to remain in a stationary position 50%
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situation

About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.