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Weekend Data Science Jobs in Utah (NOW HIRING)

Bachelors degree in Computer Science, Engineering, Statistics, Data Science or related field plus 6+ years of related experience. Masters degree is a plus. * Strong quantitative background with ...

Bachelors degree in Computer Science, Engineering, Statistics, Data Science or related field plus 6+ years of related experience. Masters degree is a plus. * Strong quantitative background with ...

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is ...

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is ...

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is ...

Data Engineer IV - AI & Data Products

Draper, UT · On-site

$107K - $128K/yr

Ensure domain data is of high quality and consumable by reporting, analytics, data science, and AI use cases. • Collaborate with business leaders, Executives, Data Scientists, BI Analytics, Product ...

This role centers on addressing complex, data-driven challenges by applying techniques from computer science, statistics, and predictive modeling. You will collaborate cross-functionally with teams ...

... Science degree or higher in the fields of Computer Science, Statistics, or Mathematics • An aptitude for medical informatics Company : Waystar is a technology platform that provides healthcare ...

Data Engineer IV - AI & Data Products

Draper, UT · On-site

$107K - $128K/yr

Collaborate with business leaders, Executives, Data Scientists, BI Analytics, Product, Engineering, and other operational departments to ensure successful delivery of data solutions and data assets ...

BI - Senior Data Analyst

Orem, UT · On-site

$70K - $80K/yr

Additionally, having additional experience in the solar industry and leveraging data science principles to evolve the data maturity level of the organization. Finally, grooming and assisting the ...

BI - Senior Data Analyst

Orem, UT · On-site

$74K - $94K/yr

Additionally, having additional experience in the solar industry and leveraging data science principles to evolve the data maturity level of the organization. Finally, grooming and assisting the ...

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

Recent graduate (or soon to be) in Computer Science, Data Science, Data Engineering, Software Engineering, or a related technical field. Self-taught candidates with relevant projects are also welcome.

Data Engineer

Provo, UT · On-site

$50K - $90K/yr

Recent graduate (or soon to be) in Computer Science, Data Science, Data Engineering, Software Engineering, or a related technical field. Self-taught candidates with relevant projects are also welcome.

Recent graduate (or soon to be) in Computer Science, Data Science, Data Engineering, Software Engineering, or a related technical field. Self-taught candidates with relevant projects are also welcome.

Data Analyst Senior

Salt Lake City, UT · On-site +1

$83K - $105K/yr

Degree in Business, Accounting, Finance, Economics, Analytics, or Data Science is preferred. #LI-RC1 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities Click here to learn ...

Bachelor's degree or higher in computer science, economics, mathematics, statistics or a related technical field * 3-5 years of experience in a data-related role * Excellent writing, communication ...

Bachelor's degree or higher in computer science, economics, mathematics, statistics or a related technical field * 3-5 years of experience in a data-related role * Excellent writing, communication ...

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Weekend Data Science information

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

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 is a Weekend Data Science job?

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 are some typical challenges faced by data scientists working specifically on weekends, 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.

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 cities in Utah are hiring for Weekend Data Science jobs? Cities in Utah with the most Weekend Data Science job openings:

Applied AI Scientist

Enterprise Services

Midvale, UT • Hybrid

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Job description

Zions Bancorporation's Enterprise Technology and Operations (ETO) team is transforming what it means to work for a financial institution. With a commitment to technology and innovation, we have been providing our community, clients and colleagues the best experience possible for over 150 years. Help us transform our workforce of the future, today.

As an Applied AI Scientist, you will collaborate with the Enterprise Data Analytics team to analyze and model customer data, learn banking processes, and transform data into actionable insights. You will work alongside other experienced Applied AI Scientists to design and prototype solutions that leverage advanced analytics and AI techniques.

Responsibilities:

  • Understand business and data requirements
  • Discover, clean, and transform data for analysis
  • Design and build analytical and machine learning models
  • Prototype and validate solutions
  • Perform statistical analyses and interpret results
  • Deliver diagnostic, descriptive, prescriptive, and predictive analytics
  • Explore opportunities for machine learning, deep learning, and generative AI in predictive modeling, automation, and model training
  • Communicate findings effectively across multiple levels of management
  • Other duties as assigned

Qualifications:

  • Bachelors degree in Computer Science, Engineering, Statistics, Data Science or related field plus 6+ years of related experience. Masters degree is a plus.
  • Strong quantitative background with applied statistics skills (distributions, hypothesis testing, regression, etc.)
  • Familiarity with predictive modeling, machine learning, generative AI, and data mining techniques
  • Proficiency in programming and data science tools: 
  • Languages: Python, R, or Java
  • Libraries/Frameworks: NumPy, Scikit-learn, PyTorch, TensorFlow
  • Visualization: Matplotlib, Seaborn, GGPlot, Tableau, Power BI
  • Experience with SQL; exposure to Hadoop, Hive, or Spark is a plus
  • Knowledge of ETL workflows and scheduling tools is a plus
  • Strong analytical, organizational, and problem-solving skills
  • Excellent communication and presentation skills
  • Ability to collaborate across teams and work independently
  • Banking or financial services experience is a plus
  • Familiarity with formal project management methodologies preferred

Location:

This position has a hybrid work from home schedule with a minimum of three days per week in the office at the new Zions Technology Center in Midvale, UT.

The Zions Technology Center is a 400,000-square-foot technology campus in Midvale, Utah. Located on the former Sharon Steel Mill superfund site, the sustainably built campus is the company's primary technology and operations center. This modern and environmentally friendly technology center enables Zions to compete for the best technology talent in the state while providing team members with an exceptional work environment with features such as:

  • Electric vehicle charging stations and close proximity to Historic Gardner Village UTA TRAX station.
  • At least 75% of the building is powered by on-site renewable solar energy.
  • Access to outdoor recreation, parks, trails, shareable bikes and locker rooms.
  • Large modern cafe with a healthy and diverse menu.
  • Healthy indoor environment with ample natural light and fresh air.
  • LEED-certified sustainable building that features include the use of low VOC-emitting construction materials.

Benefits: 

  • Medical, Dental and Vision Insurance - START DAY ONE! 
  • Life and Disability Insurance, Paid Parental Leave and Adoption Assistance
  • Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts
  • Paid Training, Paid Time Off (PTO) and 11 Paid Federal Holidays
  • 401(k) plan with company match, Profit Sharing, competitive compensation in line with work experience
  • Mental health benefits including coaching and therapy sessions
  • Tuition Reimbursement for qualifying employees
  • Employee Ambassador preferred banking products

Apply now if you have a passion for impactful outcomes, enjoy working collaboratively with co-workers, and want to make a difference for the clients and communities we serve.

#dice