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Weekend Data Science Jobs in Utah (NOW HIRING)

Snap Finance

Data Scientist III

West Valley City, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The ideal candidate understands how to apply the practices of data science to understand a problem and generate significant value through powerful predictive models. This role is tailored for working ...

Mastercard, Inc.

Data Scientist I

Salt Lake City, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Role As an individual contributor working within a growing data science team, you will take responsibility for developing market leading, innovative, analytical open banking solutions. Focused in the ...

MasterCard

Lead Data Scientist

Holladay, UT · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Science and Analyticsteam is looking for a Lead Data Scientist. The Data Science team works on Intelligent Decisioning; Financial Certainty; Attribute, Feature, and Entity Resolution;

Zions Bank

Data Scientist - Applied AI Scientist

Midvale, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Production-Grade Science: Architect and implement modular, extensible, and testable Python ... Optimize model inference, data processing pipelines, and memory footprints for latency and ...

Snap Finance, LLC

Data Scientist III

West Valley City, UT · On-site

$90 - $120/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The ideal candidate understands how to apply the practices of data science to understand a problem and generate significant value through powerful predictive models. This role is tailored for working ...

nCino

Senior Data Scientist

Lehi, UT · On-site

Required : • Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science or a related field with 5+ years of related experience or combination of experience and education • ...

Pura

Staff Data Scientist

Pleasant Grove, UT · On-site

Required : • 5+ years of experience in data science or a related field • Expert SQL and Python proficiency • Strong background in causal inference statistics • Experience with A/B testing ...

nCino

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Understanding of data science priorities and how each contributes to the success of nCino * Demonstrates ability to acquire domain knowledge of the business and effectively applies this expertise to ...

nCino OpCo

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Understanding of data science priorities and how each contributes to the success of nCino * Demonstrates ability to acquire domain knowledge of the business and effectively applies this expertise to ...

3M HEALTHCARE

Senior Data Scientist

Lehi, UT · On-site

$107.90 - $183.40/hr

Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science, or related field with 5+ years of experience, or equivalent education/experience combination. * Mastery of programming ...

PointClickCare

Associate Data Scientist (USA)

Salt Lake City, UT · On-site

$57K - $57K/yr

  • Retirement

  • PTO

Bachelor's degree (or equivalent experience) in data science, analytics, mathematics, statistics, public health, economics, social science, or actuarial science. Master's degree preferred. * 2-7 ...

PointClickCare

Associate Data Scientist (USA)

Salt Lake City, UT · Hybrid

$57K - $57K/yr

  • Retirement

  • PTO

Bachelor's degree (or equivalent experience) in data science, analytics, mathematics, statistics, public health, economics, social science, or actuarial science. Master's degree preferred. * 2-7 ...

Gehc

Service Data Scientist

Salt Lake City, UT · On-site

Summary The Sr Data Scientist will work in teams addressing statistical, machine learning and data ... Education Qualification Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology ...

GE Healthcare

Service Data Scientist

Salt Lake City, UT · On-site

Summary The Sr Data Scientist will work in teams addressing statistical, machine learning and data ... Education Qualification Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology ...

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Showing results 21-40

All JobsData Science JobsWeekend Data Science JobsWeekend Data Science Jobs in Utah

Weekend Data Science information

What is a weekend data science?

A Weekend Data Science job typically refers to a part-time or contract-based data science position where the primary work hours are on weekends. These roles are ideal for students, professionals seeking extra income, or those looking to gain experience in the data science field without committing to a full-time weekday schedule. Weekend data scientists analyze data, build models, and generate insights just like full-time data scientists but with flexible or reduced hours that fit around a weekend schedule.

What skills and qualifications are needed to thrive as a weekend data scientist?

To thrive as a Weekend Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau) is typically required. Excellent time management, problem-solving ability, and effective communication are crucial soft skills for delivering insights on tight weekend deadlines. These skills ensure that data-driven decisions can be made efficiently and accurately, even within limited time frames.

What challenges do data scientists working on weekends face, and how can they be managed?

Data scientists working weekend shifts often encounter challenges such as limited access to colleagues for collaboration or support, since many team members may not be available outside standard business hours. Additionally, urgent issues or data anomalies may require quick, independent problem-solving. Proactive communication with weekday teams, thorough documentation, and setting up clear protocols for handoffs can help manage these challenges and ensure smooth workflow continuity.

What is the difference between Weekend Data Science vs Part-Time Data Analyst?

AspectWeekend Data SciencePart-Time Data Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldOften requires a degree or relevant experience in data analysis or related fields
Work EnvironmentProject-based, flexible hours, often remote or on-site during weekendsFlexible hours, may be remote or on-site, often with less technical complexity
Industry UsageUsed in tech, finance, healthcare, and startups for specialized projectsCommon in retail, marketing, and small businesses for routine data tasks

Weekend Data Science roles focus on complex data projects requiring advanced skills, often during weekends, while Part-Time Data Analysts handle routine data tasks with less technical depth, offering flexible schedules. Both roles serve different needs but share a focus on data work outside standard hours.

Do weekend data scientists work on weekends?

Weekend data scientists may work on weekends depending on project deadlines, company policies, or client needs. Typically, data science roles involve regular weekday hours, but some positions require weekend work, especially in roles with flexible or project-based schedules. It is important to clarify work hours during the hiring process or in job descriptions.

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

The most popular types of Data Science jobs in Utah are:

What are popular job titles related to Weekend Data Science jobs in Utah?

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

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

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

What cities in Utah are hiring for Weekend Data Science jobs?

Cities in Utah with the most Weekend Data Science job openings:

Weekend Data Science jobs near you

Data Scientist III

Snap Finance

West Valley City, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Job description

Company Overview:
At Snap Finance, we believe everyone deserves access to the things they need, regardless of credit history. Since 2012, we've used data, machine learning, and a more human approach to create flexible financing solutions that help people move forward. We're proud of our inclusive, supportive culture, built on empowering our customers, partners, and team members alike. When our people thrive, so does our innovation.
If you're looking to make an impact and grow with a team that values you, come join us!
Job Description
Snap Finance is looking to strengthen its dynamic, growing analytics department. We are seeking a dedicated Data Scientist III with a passion for statistics, machine learning, and solving real-world problems with robust data. The ideal candidate understands how to apply the practices of data science to understand a problem and generate significant value through powerful predictive models. This role is tailored for working within a consumer finance company, specifically focusing on supporting the Sales and B2B Marketing departments.
How you'll make an impact:
  • Experimental Design and Evaluation:
    • Design and implement experiments and processes for evaluating business performance, new products, and product features.
    • Conducting required analyses incorporating project design, data collection, and analysis, summarizing findings, and presenting results in an understandable manner.

  • Business Impact Analysis:
    • Compiling appropriate data, applying multidimensional data aggregation, and performing profile analysis to evaluate business impact.
    • Handling large volumes of transaction-level data to derive actionable results efficiently.

  • Stakeholder Interaction:
    • Interacting with stakeholders to understand their business questions, crafting methodologies to mine/analyze datasets, and delivering insightful recommendations.
    • Keeping up to date with the latest technology trends.

  • Data Mining and Modeling:
    • Mining, modeling, and analyzing large datasets, utilizing predictive modeling techniques.
    • Building and validating a variety of statistical models, providing analytic support, and developing new criteria and/or strategies.

What you'll need to succeed:
  • Ability to generate robust statistical analyses (e.g., power analysis, hypothesis testing, experimental design, hierarchical modeling, Bayesian and frequentist methods).
  • 3-5 years working in a data science position or performing work that aligns with the required skills in another position.
  • M.S. in quantitative fields such as Statistics, Econometrics, Mathematics, Physics, Computer Science, Quantitative Social Science, Quantitative Finance, or another related field.
  • B.S. in the fields described above will be considered if the skill set and experience are robust.
  • Strong SQL skills and the ability to extract data from non-relational data sources.
  • Advanced understanding and professional experience with the following methods:
  • Classification methods (e.g., Neural Net, Logistic Regression, Decision Trees, KNN, Random Forest).
  • Regression methods (e.g., Linear, Nonlinear, Boosted Regression Trees).
  • Clustering methods (e.g., K-means, Fuzzy C-means, Hierarchical Clustering, Mixture Modeling).
  • Demonstrated ability to take data science projects from development to production.
  • Skilled analyst who produces regular reporting content for key stakeholder meetings, responds to ad hoc analysis requests, and generates insightful deep dives.
  • Familiarity and experience with concepts in consumer finance, sales operations, and B2B marketing methods.
  • Expertise in one or more modeling/machine learning programming languages such as R or Python.

What would make you stand out:
  • Experience with a variety of data structures and databases (SQL, no-SQL, graph, etc.).
  • Knowledge about Big Data related techniques (e.g., Map-Reduce, Hadoop, Hive, Apache Spark).

Why Join Us:
  • Generous paid time off
  • Competitive medical, dental & vision coverage
  • 401K with company match for US
  • Company-paid life insurance
  • Company-paid short-term and long-term disability
  • Access to mental health and wellness resources
  • Company-paid volunteer time to do good in your community
  • Legal coverage and other supplemental options
  • A value-based culture where growth opportunities are endless

More:
Snap values diversity and all qualified applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Learn more by visiting our website at www.snapfinance.com.
California Residents, please review our California Consumer Privacy Act Notice at https://snapfinance.com/ccpa-notice

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