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Full Time Ebay Data Scientist Jobs (NOW HIRING)

Data Scientist General Information Requisition #715 Locations USA-VA-Arlington Posting Date 06/12/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Data Scientist

Boston, MA · On-site

$160K - $180K/yr

Role Description This is a full-time Data Scientist role with Newton Research, Inc., working from our offices in Needham, MA. You will develop production-level models and algorithms, analyze data ...

Data Scientist General Information Requisition # 713 Locations USA-VA-Arlington Posting Date 06/12/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Data Scientist General Information Requisition # 714 Locations USA-VA-Arlington Posting Date 06/12/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Location(s): Smyrna, TN Job Schedule: Full-time, Hybrid (4 days on-site) Education Requirement ... The Data Scientist owns end-to-end execution-from problem framing and solution design to model ...

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 ...

Data Scientist General Information Requisition # 716 Locations USA-VA-Arlington Posting Date 06/12/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Data Scientist

Colorado Springs, CO · On-site

$155K - $190K/yr

This is a full-time opportunity at Petterson Space Force Base (PSFB), CO. ****Contingent Upon Contract Award**** * Demonstrate experience and knowledge of computer science concepts, data architecture ...

Data Scientist General Information Requisition # 712 Locations USA-VA-Arlington Posting Date 06/12/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

... Type Full time Description & Requirements Elevate your career with MANTECH International ... As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax ...

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 ...

One of our clients in San Diego, CA, needs a Data Scientist for a full-time position. Position: Data Scientist (Machine Learning Engineer) Location: San Diego, CA Clearance Level: Secret iQuasar is ...

Willingness to work full time in a hybrid work environment in theWashingtonDC area. * Bachelor's or Master'sDegree in a technical field (e.g., data science, statistics, computer science, mathematics ...

Data Scientist Job Category ... Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular ...

New

DATA SCIENTIST

San Diego, CA · On-site

$120K - $150K/yr

One of our clients in San Diego, CA, needs a Data Scientist for a full-time position. Position: Data Scientist (Machine Learning Engineer) Location: San Diego, CA Clearance Level: Secret iQuasar is ...

Showing results 21-40

Full Time Ebay Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do full time ebay data scientist jobs pay per year?

As of Sep 1, 2026, the average yearly pay for full time ebay data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Ebay Data Scientist vs Full Time Amazon Data Scientist?

AspectFull Time Ebay Data ScientistFull Time Amazon Data Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; experience with machine learning and data analysis toolsBachelor's or Master's in Data Science, Statistics, or related field; strong programming skills in Python or R
Work EnvironmentCollaborative teams within e-commerce platform; focus on consumer behavior and marketplace analyticsFast-paced tech environment; focus on customer insights, logistics, and recommendation systems
Employer & Industry UsageUsed by eBay for marketplace optimization and user experience improvementsUsed by Amazon for supply chain, customer behavior, and product recommendations

Both roles require similar educational backgrounds and technical skills, but they differ in industry focus and specific applications. Ebay Data Scientists primarily analyze marketplace data, while Amazon Data Scientists work on logistics, recommendations, and customer insights within a broader e-commerce ecosystem.

More about Full Time Ebay Data Scientist jobs

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Cities with the most Full Time Ebay Data Scientist job openings:

What are the most commonly searched types of Ebay Data Scientist jobs?

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The top searched job categories for Full Time Ebay Data Scientist jobs are:

Infographic showing various Full Time Ebay Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Arlington, VA • On-site

Elder Research
Computing Infrastructure Providers, Data Processing, Web Hosting • 51 - 200 employees

Full-time

Re-posted 28 days ago


Job description

Data Scientist
General Information
Requisition #715
Locations USA-VA-Arlington
Posting Date 06/12/2026
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.