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Freelance Data Science Startup Jobs in Utah (NOW HIRING)

Neighbor

Software Engineer, Data

Lehi, UT · On-site

$107K - $129K/yr

Mentor our data analysts and data scientists on engineering best practices (code review, testing ... This is a unique opportunity to join a fast-growing, VC-backed tech startup. You will be part of a ...

Neighbor

Software Engineer, Data

Lehi, UT · On-site

$107K - $129K/yr

Mentor our data analysts and data scientists on engineering best practices (code review, testing ... This is a unique opportunity to join a fast-growing, VC-backed tech startup. You will be part of a ...

Neighbor

Software Engineer, Data

Lehi, UT

$107K - $129K/yr

Mentor our data analysts and data scientists on engineering best practices (code review, testing ... This is a unique opportunity to join a fast-growing, VC-backed tech startup. You will be part of a ...

Outsmart

Senior Learning Designer, Science

Lehi, UT · On-site

$100K - $170K/yr

Outsmart is a mission-driven, early-stage startup reimagining higher education for the age of AI by ... As an AI-native company, you'll also shape how AI tools and data insights are woven into curriculum ...

Cheez

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Cheez

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Cheez

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Cheez

Product Manager @ Social app startup

Logan, UT · On-site

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Cheez

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Cheez

Product Manager @ Social app startup

Orem, UT · On-site

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Cheez

Product Manager @ Social app startup

Ogden, UT · On-site

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

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Freelance Data Science Startup information

What is the difference between Freelance Data Science Startup vs Data Analyst?

AspectFreelance Data Science StartupData Analyst
CredentialsRelevant degrees, certifications in data science or analyticsDegree in statistics, data analysis, or related fields
Work EnvironmentIndependent, project-based, remote or on-siteTypically in corporate or organizational settings, often full-time
Employer & IndustrySelf-employed or startup clients across various industriesEmployers in finance, marketing, healthcare, etc.
Search & Comparison IntentLooking for freelance opportunities or startup roles in data scienceSeeking data analysis roles within organizations

Freelance Data Science Startups focus on independent, project-based work involving advanced data modeling and machine learning, often serving multiple clients. Data Analysts typically work within organizations analyzing data to inform business decisions. While both roles require analytical skills, freelance data science startups emphasize entrepreneurship and technical expertise, whereas data analysts focus on operational data insights within a company.

What is a freelance data science startup?

A Freelance Data Science Startup is a small business or entrepreneurial venture where individuals or small teams offer data science services independently, rather than working as full-time employees for a single company. These startups provide solutions such as data analysis, machine learning, predictive modeling, and data visualization to various clients on a project basis. Freelance data science startups often work with businesses that need expertise for specific projects or lack in-house data science resources. They may operate remotely and handle multiple clients simultaneously, allowing for flexibility and diverse experience. This model is popular among data scientists seeking autonomy and a variety of challenging projects.

What unique challenges do freelance data scientists face when working with startups, and how can they manage them?

Freelance data scientists working with startups often encounter challenges such as rapidly changing project scopes, limited historical data, and the need to wear multiple hats. Since startups typically operate in fast-paced environments, priorities can shift quickly, requiring adaptability and strong communication skills. To manage these challenges, it's important to set clear expectations upfront, maintain transparent communication with stakeholders, and design flexible data solutions that can evolve as the business grows. Building strong relationships with both technical and non-technical team members can also help ensure project alignment and successful outcomes.

What skills and qualifications are needed to thrive as a freelance data science startup founder?

To thrive as a Freelance Data Science Startup founder, you need strong expertise in data analysis, machine learning, programming (Python/R), and a solid educational background in statistics or computer science. Familiarity with tools like Jupyter, TensorFlow, cloud platforms (AWS, GCP), and data visualization software, as well as relevant certifications, is highly beneficial. Exceptional communication, client management, and entrepreneurial skills help differentiate successful founders in this space. These skills are crucial for delivering high-quality solutions, winning clients, and sustaining a competitive edge in the evolving data science market.

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 Freelance Data Science Startup jobs in Utah?

For Freelance Data Science Startup jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Freelance Data Science Startup jobs in Utah look for?

The top searched job categories for Freelance Data Science Startup jobs in Utah are:

What cities in Utah are hiring for Freelance Data Science Startup jobs?

Cities in Utah with the most Freelance Data Science Startup job openings:

Freelance Data Science Startup jobs near you

Software Engineer, Data

Neighbor

Lehi, UT • On-site

$107K - $129K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Job description

At Neighbor, we're building the largest hyperlocal marketplace the world has ever seen. We've raised over $75 million from top-tier investors such as Andreessen Horowitz and the CEOs of DoorDash, StockX, and Uber. Our marketplace is already flourishing in all 50 states and we're just getting started!
As a Software Engineer, Data, you will be the core engineer responsible for building, scaling, and optimizing the data infrastructure that transforms raw events into high-fidelity, actionable intelligence. You will pioneer a foundation of engineering excellence, enabling the entire organization to make reliable, data-driven decisions at scale across all 50 states.
You'll join our data & analytics team as its first dedicated data engineer, working alongside data analysts and data scientists. You'll own the pipelines and transformation layer that power analytics at Neighbor: ingesting data from production databases, APIs, and event streams, and serving it through our semantic layer and BI tools. You'll be the engineering backbone of a small, high-leverage data team.
Our stack: dbt and Dagster on Redshift and Athena, with Superset for BI.
Primary Responsibilities
  • Design and build robust pipelines to ingest data from diverse sources (APIs, logs, relational DBs).
  • Ensure the reliable and timely execution of all critical data pipelines (ETLs/ELTs) to maintain data integrity and freshness.
  • Standardize analytics workflows by integrating software engineering best practices, including version control, CI/CD pipelines, and automated data validation protocols.
  • Develop and refine a robust semantic layer to facilitate self-service analytics, enabling stakeholders to derive insights without exposure to underlying architectural complexities.
  • Monitor and optimize cloud compute utilization and data model performance to ensure high availability and low-latency reporting during periods of rapid data scaling.
  • Serve as a strategic technical partner to leadership across Product, Engineering, Marketing, and Finance to align data infrastructure with organizational objectives.
  • Become a subject matter expert on the product ecosystem, user behavior, and marketing life cycles to better translate raw data into business value.
  • Go deep on analysis yourself when the question demands it, you're comfortable in both the pipeline and the insight
  • Mentor our data analysts and data scientists on engineering best practices (code review, testing, version control, pipeline design), raising the technical bar across the team

Qualifications
  • 5+ years as software engineer including 3+ years with an emphasis in data engineering or analytics engineering
  • Bachelor's degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics, Computer Science, Engineering, etc.) or equivalent practical experience
  • Expert-level mastery of SQL, with the ability to write, tune, and optimize complex queries for high-volume environments
  • Hands-on experience designing and maintaining data lakes or cloud-based data warehouses
  • Deep understanding of data integration patterns, including data ingestion, transformation, and automated cleansing (ETL/ELT)
  • Advanced ability to translate complex datasets into actionable narratives using modern business intelligence and reporting tools
  • A proven track record of using quantitative analysis to solve ambiguous problems and drive strategic decision-making in a fast-paced environment
  • Exceptional ability to collaborate with non-technical stakeholders, translating business requirements into technical specs and vice versa

Benefits
  • Generous Stock options
  • Medical, dental, and vision insurance
  • Generous PTO
  • 11 paid company holidays
  • 401(k) plan
  • Infant care leave
  • On-site gym/showers open 24/7

About Neighbor:
Neighbor is the largest and most comprehensive marketplace for self storage and parking, with listings in almost every U.S. city. From storage facilities to neighborhood garages, driveways, and RV spots, Neighbor brings every option together in one simple search. Come help us disrupt the $500 billion storage and parking industry! This is a unique opportunity to join a fast-growing, VC-backed tech startup. You will be part of a an extremely talented, hardworking and passionate team committed to changing the world one neighbor at a time.
Neighbor is an equal opportunity employer and is committed to providing a positive interview experience for every candidate. If accommodations due to a disability or medical condition are needed, connect with us via email at [email protected]. Check out our careers page to get to know us better as you think about your next step at Neighbor!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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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