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Director Data Science Startup Jobs in Utah (NOW HIRING)

Tendo

Principal Data Scientist

Salt Lake City, UT

$131.75K - $178.25K/yr

Our team-driven culture and rapid growth have earned us recognition as one of Forbes' Top Startup ... Requirements * Bachelor's degree in data science, statistics, epidemiology, engineering ...

Tendo

Principal Data Scientist

Salt Lake City, UT · On-site +1

$131.75K - $178.25K/yr

Our team-driven culture and rapid growth have earned us recognition as one of Forbes' Top Startup ... Requirements * Bachelor's degree in data science, statistics, epidemiology, engineering ...

Tendo

Senior Data Scientist

Salt Lake City, UT

$110.50K - $149.50K/yr

Our team-driven culture and rapid growth have earned us recognition as one of Forbes' Top Startup ... Requirements * Bachelor's degree in data science, statistics, epidemiology, engineering ...

Tendo

Senior Data Scientist

Salt Lake City, UT · On-site +1

$110.50K - $149.50K/yr

Our team-driven culture and rapid growth have earned us recognition as one of Forbes' Top Startup ... Requirements * Bachelor's degree in data science, statistics, epidemiology, engineering ...

Brex

Director, Collections

Salt Lake City, UT · Hybrid

$176K - $220K/yr

Partner with Data Science and Engineering to build predictive risk models (e.g., propensity to pay ... Deep understanding of the startup/venture-backed business ecosystem and the unique cash-flow ...

Nature

Director of Science

Salt Lake City, UT · On-site

The Director of Science will assume a critical leadership role for the Nevada and Utah Chapters ... Experience manipulating, analyzing and interpreting statistical or environmental data. * Record of ...

Varsity Tutors

ACT Science Tutor

Spanish Fork, UT · Remote

$40/hr

Emphasizes minimal passage reading, direct data analysis, and recognizing question patterns for maximum efficiency. * Test Strategy & Adaptive Instruction: Familiar with ACT Science time pressure ...

Varsity Tutors

ACT Science Tutor

Logan, UT · Remote

$40/hr

Emphasizes minimal passage reading, direct data analysis, and recognizing question patterns for maximum efficiency. * Test Strategy & Adaptive Instruction: Familiar with ACT Science time pressure ...

Varsity Tutors

ACT Science Tutor

Cedar City, UT · Remote

$40/hr

Emphasizes minimal passage reading, direct data analysis, and recognizing question patterns for maximum efficiency. * Test Strategy & Adaptive Instruction: Familiar with ACT Science time pressure ...

Varsity Tutors

ACT Science Tutor

Provo, UT · Remote

$40/hr

Emphasizes minimal passage reading, direct data analysis, and recognizing question patterns for maximum efficiency. * Test Strategy & Adaptive Instruction: Familiar with ACT Science time pressure ...

KēSTA I.T.

Sr. Data Scientist

Lehi, UT

$150K - $185K/yr

... science, statistics, and predictive modeling. You will collaborate cross-functionally with teams ... This position is well-suited for someone who is self-directed, detail-oriented, and energized by ...

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Director Data Science Startup information

What are the key skills and qualifications needed to thrive as a Director of Data Science at a Startup, and why are they important?

To thrive as a Director of Data Science at a startup, you need deep expertise in statistical modeling, machine learning, and data strategy, often supported by an advanced degree in a quantitative field. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, GCP), and experience with data pipeline architectures are typically required. Strong leadership, communication, and business acumen are vital soft skills for aligning data initiatives with startup objectives and motivating cross-functional teams. These skills are crucial for driving product innovation, scaling data operations, and delivering actionable insights in a fast-paced, resource-constrained environment.

What are some unique challenges a Director of Data Science faces in a startup environment?

As a Director of Data Science in a startup, you will often need to balance hands-on technical work with strategic leadership, since resources and team sizes are usually limited. You'll likely be tasked with building and mentoring a team from the ground up, establishing best practices, and aligning data initiatives with fast-changing business goals. Additionally, you may need to advocate for data-driven decision-making across non-technical teams and adapt quickly as the company's priorities shift. This environment fosters rapid professional growth but requires flexibility, strong communication skills, and a willingness to wear multiple hats.

What does a Director of Data Science do at a startup?

A Director of Data Science at a startup leads the development and execution of data-driven strategies, overseeing teams of data scientists and analysts to drive business growth. They are responsible for aligning data initiatives with the company's goals, building predictive models, and ensuring the integrity and scalability of data solutions. This role often involves close collaboration with engineering, product, and executive teams to translate business needs into actionable data projects. Additionally, they help shape the data culture and mentor team members in a fast-paced, resource-constrained environment.

What is the difference between Director Data Science Startup vs Data Scientist?

AspectDirector Data Science StartupData Scientist
Required CredentialsAdvanced degree (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentLeadership role overseeing teams, strategic planningHands-on data analysis, model development, research
Employer & Industry UsageStartups, tech companies, innovation-driven firmsVaries from startups to large corporations, research labs
Search & Comparison IntentUnderstanding leadership roles, strategic responsibilitiesTechnical skills, project work, data analysis

The Director Data Science Startup typically holds a leadership position with strategic oversight and team management responsibilities, requiring advanced degrees and experience. In contrast, a Data Scientist focuses on technical data analysis and model development, often with less emphasis on leadership. Both roles are common in startup environments and tech industries, but they differ significantly in scope and responsibilities.

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

Principal Data Scientist

Tendo

Salt Lake City, UT

$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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