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Remote Sap Data Scientist Jobs (NOW HIRING)

Remote Position Summary The Senior Data Scientist provides advanced analytical expertise supporting the SBA OIG Technology Solutions Division through the design, development, deployment, and ...

Data Scientist Location : Remote Duration: Long term * Bachelor's degree or Master's Degree in Computer science, or a related field, with minimum 10+ Years of relevant experience. * Must be ...

About the Data Scientist position We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You ...

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in ...

The Data Scientist will report to the Director, Data Science & Analytics in the CDB Strategy Department. This role is responsible for participating in team building business intelligence through the ...

Remote/Hybrid Brief Overview of the Our Client is seeking a highly skilled Data Scientist to leverage large volumes of data using modern tools and technologies to uncover insights, build predictive ...

Remote Brief Overview of the We are seeking a highly skilled Data Scientist to join our client, a leading product-based software company. This role leverages large volumes of data using modern tools ...

The Data Scientist will report to the Director, Data Science & Analytics in the CDB Strategy Department. This role is responsible for participating in team building business intelligence through the ...

Data Scientist

Richardson, TX · Remote

$116K - $198K/yr

We are looking for a Data Scientist to help design, build, and deploy machine learning and ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

Data Scientist

Springfield, VA · Remote

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical capabilities to support key business and security objectives. This ...

Competitive salary Location Remote Experience Level Senior Level (7 or more years of experience) Role Overview We are seeking a highly skilled Senior Data Scientist to join a fast-paced SaaS ...

New

Data Scientist

Richardson, TX · Remote

$116K - $198K/yr

Overview We are looking for a Data Scientist to help design, build, and deploy machine learning and ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined ...

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How much do remote sap data scientist jobs pay per year?

As of Jul 17, 2026, the average yearly pay for remote sap 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.
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What cities are hiring for Remote Sap Data Scientist jobs? Cities with the most Remote Sap Data Scientist job openings:
What are the most commonly searched types of Sap Data Scientist jobs? The most popular types of Sap Data Scientist jobs are:
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Infographic showing various Remote Sap Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist - Remote Role

Full-time

Posted 11 days ago


Job description

2. Senior Data Scientist (1 Positions)
Position Title - Senior Data Scientist
Location: Remote
Position Summary
The Senior Data Scientist provides advanced analytical expertise supporting the SBA OIG Technology Solutions Division through the design, development, deployment, and continuous improvement of machine learning models, predictive analytics, fraud detection methodologies, and advanced statistical analysis. The position directly supports audits, investigations, and fraud prevention initiatives by transforming complex structured and unstructured datasets into actionable intelligence.
Key Responsibilities
  • Design, develop, and maintain supervised and unsupervised machine learning models.
  • Develop fraud detection algorithms using statistical modeling and predictive analytics.
  • Perform exploratory data analysis, feature engineering, and model optimization.
  • Conduct large-scale data cleansing, normalization, and validation.
  • Develop NLP solutions utilizing OCR, semantic similarity, vector embeddings, and Large Language Models.
  • Support criminal investigations through advanced analytics and investigative data products.
  • Produce dashboards, reports, executive briefings, and interactive visualizations using Power BI and related tools.
  • Collaborate with Data Engineers to optimize cloud-based analytical environments.
  • Document methodologies, analytical processes, and model performance.
  • Present findings to technical and executive audiences.

Minimum Qualifications
  • Master's degree (or higher) in Data Science, Computer Science, Mathematics, Statistics, Artificial Intelligence, Machine Learning, or related discipline (or equivalent experience).
  • Minimum 10 years of advanced analytics experience.
  • Minimum 5 years developing predictive models and fraud analytics.
  • Minimum 3 years supporting investigative or compliance analytics.
  • Experience with:
    • Python (Pandas)
    • SQL Server
    • PostgreSQL
    • Azure, AWS, or GCP
    • Machine Learning
    • NLP
    • Power BI

Preferred Qualifications
  • Azure AI Engineer
  • Azure Data Scientist Associate
  • TensorFlow
  • PyTorch
  • Scikit-Learn
  • Microsoft Certified: Azure AI Engineer
  • Experience supporting Federal OIGs, DOJ, DHS, Treasury, or Inspector General organizations.