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Overnight Python Data Science Jobs in Utah (NOW HIRING)

Crumbl

Data Engineer

Provo, UT

$108K - $130K/yr

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements ... Strong Python for data engineering (modular, testable pipeline code) * Hands-on dbt experience ...

Upbound Group

Data Engineer IV - AI & Data Products

Draper, UT · On-site

$107K - $128K/yr

... Data Scientists and AI use cases/agents. • Create and maintain data domain assets (pipelines/ETLs, sematic models and other assets) using Python, SQL, and other approved tools. • Build high ...

Awardco

Lead Data Scientist

Lindon, UT

Summary Awardco is looking for a results-driven, hands-on leader to build and lead the Data Science ... Advanced experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data ...

Upbound

Data Engineer IV - AI & Data Products

Draper, UT

$107K - $128K/yr

... Scientists and AI use cases/agents. * Create and maintain data domain assets (pipelines/ETLs, sematic models and other assets) using Python, SQL, and other approved tools. * Build high quality ...

Patientco

Data Scientist

Lehi, UT

... computer science, mathematical, predictive modeling and statistical methods, & knowledge. This ... Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g.

Crew Career Center

Data Scientist

Lehi, UT

... computer science, mathematical, predictive modeling and statistical methods, & knowledge. This ... Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g.

Waystar

Data Scientist

Lehi, UT · On-site

... computer science, mathematical, predictive modeling and statistical methods, & knowledge. This ... Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g.

Zions Bank

Applied AI Scientist

Midvale, UT · On-site

Proficiency in programming and data science tools: * Languages: Python, R, or Java * Libraries/Frameworks: NumPy, Scikit-learn, PyTorch, TensorFlow * Visualization: Matplotlib, Seaborn, GGPlot ...

Zions Bancorporation

Applied AI Scientist

Midvale, UT · On-site

Proficiency in programming and data science tools: * Languages: Python, R, or Java * Libraries/Frameworks: NumPy, Scikit-learn, PyTorch, TensorFlow * Visualization: Matplotlib, Seaborn, GGPlot ...

Waystar

Data Scientist

Lehi, UT · On-site

... science and statistical methods, while maximizing the utility of predictive modeling and analytics ... Python predictive modeling • Demonstrated competency in RDBMS (e.g. SQL Server) • Ability to ...

Enterprise Services

Applied AI Scientist

Midvale, UT · Hybrid

Proficiency in programming and data science tools: * Languages: Python, R, or Java * Libraries/Frameworks: NumPy, Scikit-learn, PyTorch, TensorFlow * Visualization: Matplotlib, Seaborn, GGPlot ...

Waystar

VP, Data Sciences

Lehi, UT · On-site

Education: Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics ... Strong command of SQL, Python, or R for data manipulation and analysis. * Experience with business ...

Patientco

VP, Data Sciences

Lehi, UT

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a ... Strong command of SQL, Python, or R for data manipulation and analysis. Experience with business ...

Crew Career Center

VP, Data Sciences

Lehi, UT

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a ... Strong command of SQL, Python, or R for data manipulation and analysis. Experience with business ...

Kforce Technology Staffing

Data Engineer

Draper, UT

$107K - $128K/yr

Partner with analytics and data science teams to operationalize insights in production environments ... Python, Scala, Java, VB (or similar) * CI/CD & DevOps: Azure DevOps, CI/CD pipelines

New

Awardco

Lead Data Scientist

Lindon, UT · On-site

Summary Awardco is looking for a results-driven, hands-on leader to build and lead the Data Science ... Advanced experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data ...

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Overnight Python Data Science information

What are Overnight Python Data Science jobs?

Overnight Python Data Science jobs involve working night shifts to perform data analysis, build models, or process data using Python programming. These roles may include tasks like cleaning datasets, running automated pipelines, and generating reports for teams that operate on a 24-hour cycle. Such positions are common in industries that require round-the-clock data monitoring or support, such as finance, healthcare, or IT operations. Professionals in these roles typically have experience with Python, data science libraries, and may collaborate with global teams across different time zones.

What are the main challenges of working as an Overnight Python Data Science professional, and how can I succeed in this role?

Working as an Overnight Python Data Science professional often means handling data pipelines, model monitoring, and urgent troubleshooting during hours with limited team support. The main challenges include quickly resolving unexpected data issues, maintaining high attention to detail during late hours, and communicating findings to daytime teams. Success in this role relies on strong problem-solving skills, proactive communication (such as clear shift handovers), and the ability to work independently while following established protocols. Building robust documentation and automating regular tasks can also help manage workload and reduce errors.

What are the key skills and qualifications needed to thrive as an Overnight Python Data Science professional, and why are they important?

To thrive as an Overnight Python Data Science professional, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and machine learning concepts, often backed by a degree in a quantitative field. Familiarity with tools such as Jupyter Notebook, Pandas, Scikit-learn, and data visualization libraries, along with experience using databases and cloud platforms, is typically required. Excellent problem-solving skills, attention to detail, and the ability to work independently during non-standard hours help you excel in this role. These skills and qualities are vital for efficiently analyzing data, building reliable models, and delivering actionable insights in a time-sensitive, often autonomous overnight environment.

What is the difference between Overnight Python Data Science vs Data Analyst?

AspectOvernight Python Data ScienceData Analyst
Required SkillsPython, data analysis, machine learning, statistical modelingExcel, SQL, data visualization, basic statistics
Work EnvironmentRemote or night shifts, tech-focused companies, data-driven rolesOffice-based or remote, business or marketing departments
Industry UsageTech, finance, e-commerce, healthcareRetail, finance, marketing, consulting

Overnight Python Data Science roles focus on advanced data analysis, machine learning, and programming skills, often requiring night shifts and remote work. Data Analysts typically handle data visualization, reporting, and basic analysis during regular hours. Both roles are essential in data-driven industries but differ in technical complexity and work schedules.

What are the most commonly searched types of Python Data Science jobs in Utah? The most popular types of Python Data Science jobs in Utah are:
Overnight Python Data Science jobs near you
Data Engineer

Data Engineer

Crumbl

Provo, UT

$108K - $130K/yr

Full-time

Posted 10 days ago

Job description

Crumbl HQ is seeking a skilled and motivated data engineer to join our growing team. The successful candidate will be responsible for building and maintaining data pipelines using dbt and Prefect to support data-driven decision-making across the organization.
Responsibilities
  •  Design, build, and maintain scalable and reliable data pipelines through ELT/ETL extraction methods.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data quality
  • Develop and maintain documentation, including data dictionaries, workflow diagrams, and data flow diagrams
  • Ensure the integrity and security of data by implementing appropriate controls and monitoring
  • Optimize and tune data pipelines to ensure efficient processing and query performance
  • Implement and maintain data security policies and procedures, including access controls, encryption, and data masking
  • Design and implement data processing workflows using dbt and Prefect to support data science and machine learning applications
  • Develop and maintain data ingestion processes to bring data from external sources into the organization’s data environment
  • Identify and address performance issues with data pipelines, and work with infrastructure and operations teams to optimize system performance
  • Conduct testing and validation of data pipelines to ensure they are functioning correctly and meeting business requirements
  • Participate in code reviews and contribute to the development of best practices for data engineering
  • Stay current with emerging technologies and trends in data engineering and data science, and identify opportunities to leverage them within the organization
Qualifications
  • Bachelor’s or Master’s degree in Data Science, Information Systems, or a related field
  • 3+ years building and maintaining production data pipelines (degree in a related field or equivalent experience)
  • Advanced SQL: window functions, CTEs, and query/performance tuning on large datasets
  • Strong Python for data engineering (modular, testable pipeline code)
  • Hands-on dbt experience: models, tests, macros, and incremental materializations
  • Production Snowflake experience: schema design, performance tuning, and warehouse/cost optimization
  • AWS data services (e.g., S3, Glue, Lambda)
  • Data quality and observability with dbt + Elementary
  • Infrastructure-as-code with Terraform and version control with Git
  • Dimensional data modeling (star/snowflake schemas, SCDs) and lakehouse concepts
  • Strong problem-solving skills and clear communication with analysts, scientists, and stakeholders

Benefits & Perks

- Medical, dental, and vision benefits
- 15 days PTO/year
- 10 paid holidays
- Paid parental leave
- Personal phone bill reimbursement
- Gym reimbursement
- Corporate DoorDash® DashPass membership
- Regular company and team activities
- 401k with competitive matching contribution plan
- Excellent opportunities for career growth
- Work in a hyper-growth company

Crumbl was founded in 2017 by Jason McGowan & Sawyer Hemsley in Logan, Utah. It is now the fastest-growing cookie company in the nation with over 1000 locations in the USA and Canada. Crumbl is powered by cutting-edge technology, iconic branding, delicious desserts, and passionate people.

Crumbl HQ and franchisees provide employment for over 26,000 people across the United States, and all of our franchises are owned and operated by independent members of the local community.

Crumbl’s 200+ unique cookie flavors rotate weekly and are served in our famous pink box! 

Crumbl is an equal opportunity employer. Crumbl provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

Recruitment Agencies: Crumbl HQ doesn't typically partner with 3rd party recruitment resources. If we require assistance on this search we will contact selected partners directly; we do not accept unsolicited candidate submissions.

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.