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Remote Data Scientist Contract Jobs in Utah (NOW HIRING)

PacifiCorp

SCADA Engineer

Salt Lake City, UT · On-site +1

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 ...

PacifiCorp

SCADA Engineer

Salt Lake City, UT · On-site +1

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 ...

Packsize

Data Engineer

Salt Lake City, UT · On-site +1

$110K - $133K/yr

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

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All JobsData Scientist Contract JobsRemote Data Scientist Contract JobsRemote Data Scientist Contract Jobs in Utah

Remote Data Scientist Contract information

What is a remote data scientist contract?

A Remote Data Scientist Contract position is a temporary role where a data scientist works for a company or client from a location outside the traditional office setting, often from home. Contract roles typically have a set duration and focus on specific projects or deliverables, such as building predictive models, analyzing large datasets, or developing data-driven insights. Remote data scientists use tools like Python, R, and cloud-based platforms to collaborate with teams and complete tasks. This role often offers flexibility and the opportunity to work with multiple organizations or on diverse projects. Individuals in these positions are usually responsible for managing their own workflow and communication with clients or employers.

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

To thrive as a Remote Data Scientist on a contract basis, you need strong analytical skills, proficiency in statistical modeling, and a background in mathematics, computer science, or a related field, typically supported by a relevant degree. Expertise in programming languages such as Python or R, experience with data visualization tools (like Tableau or Power BI), and familiarity with cloud platforms (such as AWS or GCP) are commonly required, along with certifications in data science or machine learning. Excellent communication, self-motivation, and time management skills help remote data scientists effectively collaborate with clients and teams across different locations. Mastering these skills ensures you can deliver actionable insights, meet project deadlines, and build successful client relationships in a remote, contract-based environment.

What are some common challenges faced by remote data scientists working on contract, and how can they be addressed?

Remote data scientists on contract often face challenges such as limited access to company data, asynchronous communication with team members, and managing multiple clients or projects simultaneously. To address these, it's important to establish clear communication channels, set expectations regarding data access early on, and use collaborative tools for version control and reporting. Regular check-ins with stakeholders and proactive documentation can also help ensure alignment and smooth project progress.

What is the difference between Remote Data Scientist Contract vs Remote Data Analyst Contract?

AspectRemote Data Scientist ContractRemote Data Analyst Contract
Required CredentialsTypically requires a degree in data science, statistics, or related field; proficiency in programming languages like Python or RUsually requires a degree in statistics, mathematics, or related field; skills in data visualization and SQL
Work EnvironmentProject-based, often involves building models, advanced analytics, and machine learningFocuses on data cleaning, reporting, and basic analysis
Employer & Industry UsageUsed across tech, finance, healthcare, and research sectorsCommon in marketing, retail, and business intelligence sectors

Remote Data Scientist Contracts typically involve advanced analytics and machine learning, requiring specialized skills and credentials. In contrast, Remote Data Analyst Contracts focus on data reporting and visualization. Both roles are remote, but they serve different analytical needs within organizations.

What are the most commonly searched types of Remote Data Scientist jobs in Utah?

The most popular types of Remote Data Scientist jobs in Utah are:

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

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

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

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

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

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

Remote Data Scientist Contract jobs near you

AI Training Specialist - Life Sciences

micro1 AI

West Jordan, UT • Remote

$90 - $120/hr

Part-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

Apply