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Contract Machine Learning Data Scientist Jobs in Utah

Tendo

Principal Data Scientist

Salt Lake City, UT · On-site +1

$131.75K - $178.25K/yr

Hands-on experience writing Python code including, but not limited to, machine learning, data ... data science experience preferred. * 7+ years of experience with GitHub/Git, Python, SQL ...

Tendo

Principal Data Scientist

Salt Lake City, UT

$131.75K - $178.25K/yr

Hands-on experience writing Python code including, but not limited to, machine learning, data ... data science experience preferred. * 7+ years of experience with GitHub/Git, Python, SQL ...

Tendo

Senior Data Scientist

Salt Lake City, UT

$110.50K - $149.50K/yr

Hands-on experience writing Python code including, but not limited to, machine learning, data ... data science experience preferred. * 5+ years of experience with GitHub/Git, Python, SQL ...

Tendo

Senior Data Scientist

Salt Lake City, UT · On-site +1

$110.50K - $149.50K/yr

Hands-on experience writing Python code including, but not limited to, machine learning, data ... data science experience preferred. * 5+ years of experience with GitHub/Git, Python, SQL ...

swirecc

Data Scientist

Draper, UT · On-site

Employ Artificial Intelligence and Machine Learning techniques across all business channels ... a Data Scientist. Proficiencies must include a minimum of: experience with Power BI; experience ...

swirecc

Data Scientist

Draper, UT

Employ Artificial Intelligence and Machine Learning techniques across all business channels ... a Data Scientist. Proficiencies must include a minimum of: experience with Power BI; experience ...

swirecc

Data Scientist

Draper, UT · On-site

Employ Artificial Intelligence and Machine Learning techniques across all business channels ... a Data Scientist. Proficiencies must include a minimum of: experience with Power BI; experience ...

Waystar

Data Scientist

Lehi, UT · On-site

They are seeking an experienced Data Scientist to solve data-driven healthcare problems using machine learning and predictive modeling methods, while collaborating with Product Management and ...

Waystar

Data Scientist

Lehi, UT · On-site

The data scientist role involves solving data-driven Healthcare problems using various machine learning and predictive modeling methods. This person will primarily work as part of the larger Data ...

nCino

Senior Data Scientist

Lehi, UT · On-site

$107.90K - $183.40K/yr

Proficient creating machine learning, predictive modeling, and advanced analytics tools tailored to ... logging, contract testing, and version control Desired: * Advanced degree in Data Science ...

Patientco

Data Scientist

Lehi, UT

The data scientist role involves solving data-driven Healthcare problems using various machine learning and predictive modeling methods. This person will primarily work as part of the larger Data ...

nCino OpCo

Senior Data Scientist

Lehi, UT · On-site

$107.90K - $183.40K/yr

Proficient creating machine learning, predictive modeling, and advanced analytics tools tailored to ... logging, contract testing, and version control Desired: * Advanced degree in Data Science ...

RLDatix

Data Scientist

Lehi, UT · On-site

Data Scientist | AI/Analytics| Lehi, UT| Hybrid RLDatix (RLD) is on a mission to help raise the ... Own machine learning models end-to-end, from data exploration and experimentation through ...

Crew Career Center

Data Scientist

Lehi, UT · On-site

The data scientist role involves solving data-driven Healthcare problems using various machine learning and predictive modeling methods. This person will primarily work as part of the larger Data ...

Patientco

Data Scientist

Lehi, UT · On-site

The role will focus on extending machine learning, predictive modeling, and analytic components to provide up-to-date intelligence to Healthcare providers maximizing outcomes. An ideal candidate for ...

Crew Career Center

Data Scientist

Lehi, UT

The role will focus on extending machine learning, predictive modeling, and analytic components to provide up-to-date intelligence to Healthcare providers maximizing outcomes. An ideal candidate for ...

Waystar

Data Scientist

Lehi, UT · On-site

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... The role will focus on extending machine learning, predictive modeling, and analytic components to ...

KēSTA I.T.

Data Scientist

Lehi, UT

$120K - $145K/yr

This role focuses on applying machine learning and predictive modeling techniques to improve operational performance and decision-making. You will be part of a broader data science function ...

Waystar

Sr. Data Scientist

Lehi, UT · On-site

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... The role will focus on extending machine learning, predictive modeling, and analytic components to ...

Crew Career Center

Sr. Data Scientist

Lehi, UT

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... The role will focus on extending machine learning, predictive modeling, and analytic components to ...

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Contract Machine Learning Data Scientist information

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

To excel as a Contract Machine Learning Data Scientist, you need a strong background in statistics, programming (Python/R), and applied machine learning, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP, Azure), and version control systems is essential, along with experience deploying models in production. Exceptional problem-solving abilities, communication skills, and adaptability help you translate business needs into actionable data solutions and quickly integrate into new teams. These skills are crucial for delivering high-impact, reliable machine learning solutions on tight project timelines and in diverse organizational environments.

How do contract machine learning data scientists typically collaborate with in-house teams during a project?

Contract machine learning data scientists often work closely with in-house data teams, product managers, and engineers to align project goals and deliverables. They frequently participate in virtual meetings, code reviews, and regular progress updates to ensure transparency and seamless integration of their work. Effective communication and documentation are critical, as contractors may need to quickly adapt to the company's workflows and tools. This collaborative environment enables contractors to contribute specialized expertise while staying attuned to the broader objectives of the organization.

What is a Contract Machine Learning Data Scientist?

A Contract Machine Learning Data Scientist is a professional who works on a temporary or project-based basis to build, implement, and optimize machine learning models for organizations. Unlike full-time employees, contract data scientists are hired for specific projects or timeframes and may work independently or as part of a team. Their responsibilities typically include data cleaning, feature engineering, model selection, and communicating insights to stakeholders. Contract roles offer flexibility for both the professional and the employer, often focusing on specialized tasks or filling short-term skill gaps.

What is the difference between Contract Machine Learning Data Scientist vs Contract Data Scientist?

AspectContract Machine Learning Data ScientistContract Data Scientist
CredentialsTypically requires advanced degrees in data science, machine learning, or related fieldsRequires similar degrees but may have a broader focus on data analysis
Work EnvironmentOften in tech, finance, or healthcare industries focusing on ML projectsVaries across industries, including marketing, finance, and consulting
Employer UsageUsed by companies developing AI/ML solutions or productsEmployed for data analysis, reporting, and strategic insights
Search & Comparison IntentOften searched by those interested in AI/ML-specific rolesMore general, related to data analysis roles

The main difference is that Contract Machine Learning Data Scientists focus on developing and implementing machine learning models, while Contract Data Scientists may handle broader data analysis tasks without necessarily specializing in ML. Both roles require strong analytical skills and relevant credentials, but their project focus and industry applications differ.

What are popular job titles related to Contract Machine Learning Data Scientist jobs in Utah? For Contract Machine Learning Data Scientist jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Contract Machine Learning Data Scientist jobs in Utah look for? The top searched job categories for Contract Machine Learning Data Scientist jobs in Utah are:
What cities in Utah are hiring for Contract Machine Learning Data Scientist jobs? Cities in Utah with the most Contract Machine Learning Data Scientist job openings:
Contract Machine Learning Data Scientist jobs near you
Principal Data Scientist

Principal Data Scientist

Tendo

Salt Lake City, UT • On-site, Remote

$131.75K - $178.25K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted yesterday

Job description

The Principal Data Scientist will support Tendo analytics projects focused on quality management and risk adjustment. The person in this role will access data from multiple sources (public and private) and translate it into information that is meaningful and actionable for health systems. The Principal Data Scientist develops, maintains, and enhances predictive models that improve products in several areas including, but not limited to quality, risk, and operational efficiency. We're looking for someone who brings an AI-native mindset, has hands-on experience applying AI or machine learning to real-world problems, and is passionate about exploring how emerging AI capabilities can improve healthcare delivery and outcomes. In addition, the Principal Data Scientist will also have the opportunity to ask novel, data-driven questions and drive new analyses.
About Tendo
Make an impact-join our team!
We're a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes' Top Startup Employers for both 2024 and 2025. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences.
If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today!
Job Location
Tendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations.
Responsibilities
  • Analyze data from multiple databases to drive optimization and improvement of quality outcomes, resource utilization, and risk adjustment.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize patient outcomes, patient experiences, risk adjustment opportunities, and other business outcomes.
  • Explore and experiment with emerging AI technologies to evaluate their applicability in solving healthcare problems and improving operational workflows.
  • Develop analytic data sets and use statistical software to analyze data sets as requested.
  • Use third party software tools in the development of queries and visualizations.
  • Coordinate with different functional teams to implement models and monitor outcomes.

Requirements
  • Bachelor's degree in data science, statistics, epidemiology, engineering, information science, computer science, OR equivalent technical experience.
  • Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines.
  • 7+ years of experience in data analysis software, with data science experience preferred.
  • 7+ years of experience with GitHub/Git, Python, SQL, statistics, and ML modeling.
  • Track record of applying AI or ML models to solve practical, real-world problems-ideally in healthcare or similar complex domains.
  • Knowledge of statistical concepts and data mining methods such as: Hypothesis testing (or A/B testing), distribution analysis, Bayesian estimation, Linear and Logistic Regression, GLMs, text mining, time series analysis, etc.
  • Knowledge of a variety of traditional machine learning techniques such as: feature engineering methods for large scale numerical and categorical data, dimensionality reduction, clustering, Decision Trees/Random Forests/Gradient Boosted Decision Trees, Deep Learning.
  • Knowledge of machine learning implementation strategies such as: proper and thorough evaluation of ML models in production, detecting data/covariate/concept drift, leveraging feature stores and model registries, deploying models as REST APIs, integrating models into products, etc.
  • Interest in staying current on AI advancements (e.g., generative AI, LLMs, foundation models), and enthusiasm for integrating new capabilities into analytical workflows.
  • Demonstrated proficiency in writing SQL queries on large, complex datasets for data analysis and analytics engineering.
  • Strong problem-solving skills with an emphasis on data analytics.
  • Excellent written and verbal communication skills for coordinating across teams.

Nice to Have
  • Experience in the healthcare setting preferred.
  • Experience with Epic EMR data preferred, but not required.
  • Experience with healthcare financials/claims preferred, but not required.

Base Salary Range
$131,750-$178,250
This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits.
Benefits
For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program ("Breathe").
Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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