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Remote Data Scientist Fraud Jobs in Utah (NOW HIRING)

PacifiCorp

SCADA Engineer

Salt Lake City, UT · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Work with dispatch systems support to ensure the remote data requirements are incorporated into the ... Bachelor's Degree Electrical Engineering, Computer Science, Information Technology, or related ...

RC Willey Home Furnishings

Data Engineer

Salt Lake City, UT · On-site +1

$90K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote work and relocation support are not offered** Key Responsibilities * Utilize SQL to query ... Bachelor's degree (or higher) in Computer Science, Information Technology, or related field ...

PacifiCorp

SCADA Engineer

Salt Lake City, UT · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Work with dispatch systems support to ensure the remote data requirements are incorporated into the ... Bachelor's Degree Electrical Engineering, Computer Science, Information Technology, or related ...

USAA

SIU Investigator I

Ogden, UT · On-site +1

$77K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collects evidence of potential fraud through field or remote interviews and thorough searches of ... Familiarity with using computers and various software packages to enter and extract data for ...

Packsize

Data Engineer

Salt Lake City, UT · On-site +1

$110K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional ... Hybrid or onsite work environment preferred, with remote consideration based on candidate ...

micro1 AI

Cheminformatics Specialist - Remote

Provo, UT · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

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Remote Data Scientist Fraud information

What does a remote data scientist fraud do?

A Remote Data Scientist Fraud specializes in detecting and preventing fraudulent activities using data analysis and machine learning techniques. They work from a remote location to gather, analyze, and interpret large datasets to identify suspicious patterns and anomalies. Their role often involves building predictive models, collaborating with engineering and cybersecurity teams, and continuously improving fraud detection systems. By leveraging statistical tools and algorithms, they help organizations minimize financial losses and enhance security.

What are the key skills and qualifications needed to thrive as a remote data scientist fraud?

To thrive as a Remote Data Scientist in Fraud Detection, you need strong analytical skills, a solid background in statistics or computer science, and experience with machine learning, often supported by an advanced degree. Familiarity with tools such as Python, R, SQL, and fraud detection platforms like SAS or Hadoop, as well as knowledge of data visualization and cloud technologies, is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting complex data and collaborating remotely across teams. These skills ensure accurate fraud identification, efficient risk mitigation, and effective cross-functional teamwork in dynamic and distributed environments.

How does a remote data scientist fraud typically collaborate with cross-functional teams?

As a Remote Data Scientist focused on fraud detection, you'll regularly collaborate with engineers, product managers, and risk analysts to design and implement effective fraud prevention solutions. Communication is often facilitated through virtual meetings, collaborative platforms, and shared documentation. You'll be expected to explain complex models and analytical findings in clear, actionable terms to both technical and non-technical stakeholders, ensuring everyone understands the impact of your work. Strong teamwork and proactive updates are essential for keeping projects aligned and ensuring the solutions stay relevant to evolving fraud trends.

What are popular job titles related to Remote Data Scientist Fraud jobs in Utah?

For Remote Data Scientist Fraud jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Remote Data Scientist Fraud jobs in Utah look for?

The top searched job categories for Remote Data Scientist Fraud jobs in Utah are:

What cities in Utah are hiring for Remote Data Scientist Fraud jobs?

Cities in Utah with the most Remote Data Scientist Fraud job openings:

Remote Data Scientist Fraud jobs near you

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

West Jordan, UT • Remote

$80 - $110/hr

Part-time

Posted 17 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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