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Overnight Python Data Science Jobs in Utah (NOW HIRING)

Crumbl

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

Required : • Bachelor's or Master's degree in Data Science, Information Systems, or a related ... • Strong Python for data engineering (modular, testable pipeline code) • Hands-on dbt ...

Pura

Staff Data Scientist

Pleasant Grove, UT · On-site

Qualifications: * 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 ...

Pura USA

Staff Data Scientist

Pleasant Grove, UT · On-site

$90 - $130/hr

Qualifications: * 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 ...

Pura

Staff Data Scientist

Pleasant Grove, UT · On-site

Qualifications: * 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 ...

Crumbl

Data Engineer

Provo, UT · On-site

$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 ...

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 ...

Nicholas & Company Inc

Data Engineer

Salt Lake City, UT · On-site

$109K - $131K/yr

You will work collaboratively with our data science and business intelligence teams to ensure the ... Previous experience in Python for data processing and analysis. * Previous experience in developing ...

New

Crumbl

Data Engineer

Provo, UT · On-site

$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 ...

Fint Solutions Inc

Senior Data Scientist

Provo, UT · On-site

We are looking for a Data Scientist with strong experience in analytics, machine learning, and ... Python and SQL * Machine Learning & Statistical Analysis * Data Visualization (Tableau/Power BI)

New

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 ...

Crew Career Center

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.

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.

Waystar, Inc

Data Scientist

Lehi, UT · On-site

$90 - $120/hr

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

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All JobsPython Data Science JobsOvernight Python Data Science JobsOvernight Python Data Science Jobs in Utah

Overnight Python Data Science information

What is an overnight Python data science job?

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.

How much does an Overnight Python Data Science professional make?

An overnight Python Data Science professional typically earns between $70,000 and $120,000 annually, depending on experience, location, and industry. Salaries may be higher for those with advanced skills in machine learning, big data tools, and relevant certifications, especially for roles requiring overnight or shift work.

What skills and qualifications are needed to thrive as an overnight Python data science professional?

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.

Overnight Python Data Science jobs near you

Data Engineer

Crumbl

Provo, UT • On-site

$109K - $131K/yr

Full-time

Re-posted 2 days ago

Job description

Job Summary:
Crumbl is the fastest-growing cookie company in the nation, seeking a skilled and motivated data engineer to join their growing team. The successful candidate will be responsible for building and maintaining data pipelines 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:
Required:
• 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
Company:
Crumbl offers more than 275 specialty cookie and dessert flavors that rotate weekly. Founded in 2017, the company is headquartered in Lindon, USA, with a team of 10001+ employees. The company is currently Late Stage.

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