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Weekend Data Science Jobs in Utah (NOW HIRING)

Domo

Senior Data Scientist

American Fork, UT · On-site

These four domains apply to all aspects of building production data science, machine learning, and AI pipelines in Domo-including use case discovery, ROI estimation and tracking, data ingestion, data ...

Domo

Senior Data Scientist

American Fork, UT · On-site

These four domains apply to all aspects of building production data science, machine learning, and AI pipelines in Domo-including use case discovery, ROI estimation and tracking, data ingestion, data ...

Pluralsight, LLC

Data Scientist

Draper, UT · On-site

$121K - $160K/yr

You will apply your experience in data science, machine learning, and statistical analysis to solve complex challenges, enhance our product offerings, and deliver actionable insights that propel our ...

MasterCard

Senior Data Scientist

Holladay, UT · On-site

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 ...

KēSTA I.T.

Data Scientist

Lehi, UT · On-site

$120K - $145K/yr

You will be part of a broader data science function, partnering closely with product, engineering, and operational teams to analyze data, run experiments, and expand the use of advanced analytics ...

Meetcute

Data Scientist

Provo, UT · On-site

Several years of data science experience are preferred. Requirements You need to be: Independent Smart Good at communicating Capable Python programmer Able to think critically and effectively about ...

swirecc

Data Scientist

Draper, UT · On-site

... data science and advanced analytics for large manufacturing and retail company. Employ Artificial Intelligence and Machine Learning techniques across all business channels, customer and consumer ...

swirecc

Data Scientist

Draper, UT · On-site

... data science and advanced analytics for large manufacturing and retail company. Employ Artificial Intelligence and Machine Learning techniques across all business channels, customer and consumer ...

swirecc

Data Scientist

Draper, UT · On-site

... data science and advanced analytics for large manufacturing and retail company. Employ Artificial Intelligence and Machine Learning techniques across all business channels, customer and consumer ...

Waystar

Data Scientist

Lehi, UT · On-site

This person will primarily work as part of the larger Data Science team interacting Product Management and Application teams to conduct analysis and experimentation to maximize the utility of ...

Patientco

Data Scientist

Lehi, UT · On-site

This person will primarily work as part of the larger Data Science team interacting Product Management and Application teams to conduct analysis and experimentation to maximize the utility of ...

Crew Career Center

Data Scientist

Lehi, UT · On-site

This person will primarily work as part of the larger Data Science team interacting Product Management and Application teams to conduct analysis and experimentation to maximize the utility of ...

Epicor

Senior Data Scientist

Lehi, UT · Hybrid

Familiarity with R for data science or analytics research. * Experience writing or interpreting ML/AI whitepapers or applied research. * Exposure to big data pipelines and distributed compute ...

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 ...

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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 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
Senior Data Scientist

Senior Data Scientist

Domo

American Fork, UT • On-site

Full-time

Posted 5 days ago

Job description

COMPANY OVERVIEW
Domo's AI and Data Products Platform lets people channel AI and data into innovative uses that deliver a measurable impact. Anyone can use Domo to prepare, analyze, visualize, automate, and build data products that are amplified by AI.
POSITION SUMMARY
Sr. Data Scientists at Domo are client-facing experts who work with Domo's strategic clients to develop custom production data science solutions that address and improve business challenges. Domo Data Scientists also work closely with Domo's Product Team to inform and develop data science products that accelerate Domo use and adoption. This role requires data scientists to understand and demonstrate competence in four knowledge domains: data engineering, model building, customer and initiative management, and problem solving. These four domains apply to all aspects of building production data science, machine learning, and AI pipelines in Domo-including use case discovery, ROI estimation and tracking, data ingestion, data preparation and cleaning, feature engineering, modeling, training, productionizing, and building out technical and end-user dashboards.
Time is balanced between calls and on-site interactions with Domo clients, with independent time allocated to informing and building data science products and solutions. Furthermore, Sr. Data Scientists on this team are teachers and trainers, with a firm emphasis on evangelizing data science best practices and enabling customers to understand and own their Domo data science solutions.
Sr. Data Scientists at Domo are encouraged to pursue projects that enhance clients' user experience and move forward the vision of data science at Domo. This can include contributing to the building of Domo data science products, designing and architecting apps, writing knowledge base articles, developing sales and marketing solutions, or contributing to Domo-sponsored published works.
At the senior level, data scientists are expected to demonstrate expert knowledge and industry respect and longevity in at least two of the four knowledge domains (data engineering, model building, customer and initiative management, and problem solving). Thought leadership and expertise for Senior-level data scientists can be evidenced through a cohesive body of work as is demonstrated in a portfolio of production DSML projects, publications, presentations, reports, patents, and other industry-relevant accomplishments.
JOB REQUIREMENTS
  • University degree and equivalent industry experience with an emphasis in data science, statistics, behavioral science, computer science, or related field
  • Strong R and/or Python skills (5+ years)
  • Knowledge and demonstrated application of a breadth of statistical and data science approaches
  • Portfolio of at least one completed data science and/or statistics project, including visualizations, presentations, reports, etc. (a relevant class project can be considered for junior-level applicants)
  • Experience in any type of customer-facing role (2+ years)
  • Flexibility to travel for work as much as 20% of time
  • Strong written and oral skills
  • Detail oriented
  • Exceptional time management skills

PREFERRED QUALIFICATIONS
  • Master's Degree or PhD with an emphasis in data science, statistics, behavioral science, computer science, or related field.
  • Portfolio of independently completed data science and/or statistics projects, including visualizations, presentations, reports, etc. (industry-specific portfolio preferred)
  • Evidence of developing and deploying business-relevant data science or machine learning solutions in production
  • Experience teaching statistics and/or data science, with evidence of success (such as favorable course evaluations, etc.)
  • Project management experience
  • Experience using Domo (1+ years)

ITEMS TO INCLUDE IN YOUR APPLICATION
Upload the following to the Resume/CV field
  • Current resume
  • Current CV, if applicable
  • Data Science Portfolio: Highlight at least one use-case that showcases your work and the importance of it
  • Evidence of teaching success, if available
  • Customer evaluations, ratings, feedback, endorsements, etc., if available
  • If selected for an interview, please prepare a 15-minute presentation that showcases your data science work (preferably customer-facing work) and the impact of it

VIEW OUR BENEFITS
Domo is an equal opportunity employer

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