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Python Data Science Jobs in Utah (NOW HIRING)

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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 ...

SynergisticIT

business analyst

Salt Lake City, UT · On-site

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. We welcome candidates with all visas and citizens to apply. Who ...

SynergisticIT

Python/R Developer

Salt Lake City, UT · On-site

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time ...

The David Movie

Data Scientist

Provo, UT · On-site

$110K - $130K/yr

This is a data science role, not an ML engineering role. Day one is about analytical rigor: metrics ... SQL and Python fluency. SQL is your first language for data exploration. Python for analysis ...

New

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

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 ...

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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 ...

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 ...

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How much do python data science jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for python data science in Utah is $53.37, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $60.62 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Python Data Science position, and why are they important?

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

How much does a Python data scientist make?

A Python data scientist's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with strong skills in machine learning, statistical analysis, and data visualization tools like Pandas and TensorFlow tend to earn higher salaries.

What are typical day-to-day responsibilities in a Python Data Science role?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in data science roles, due to its extensive libraries such as Pandas, NumPy, and scikit-learn that facilitate data analysis, visualization, and machine learning. Its simplicity and versatility make it a preferred programming language in the data science field, often complemented by knowledge of SQL and data visualization tools.

What is a Python Data Science job?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into data science at various ages. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter notebooks, regardless of age.

Is Python a high paying job?

Python Data Science roles are generally well-paid due to high demand for skills in data analysis, machine learning, and automation. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech sector.
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:
What are popular job titles related to Python Data Science jobs in Utah? For Python Data Science jobs in Utah, the most frequently searched job titles are:
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Python Data Science jobs near you
Principal Data Scientist 19060

Principal Data Scientist 19060

Northrop Grumman Corporation

Roy, UT • On-site

$108K - $162K/yr

Full-time

Medical, Life, PTO

Posted 10 days ago

Northrop Grumman rating

8.1

Company rating: 8.1 out of 10

Based on 347 frontline employees who took The Breakroom Quiz

110th of 527 rated manufacturers

Job description

RELOCATION ASSISTANCE: Relocation assistance may be available
CLEARANCE REQUIRED FOR START: Yes
CLEARANCE TYPE: Secret
TRAVEL: Yes, 10% of the TimeDescription
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.
  • Northrop Grumman Defense Systems is seeking a Principal Data Scientist. This position will be located in Roy, Utah or Manhattan Beach, California and will support the Sentinel program.
    The SDS Division Analytics team is seeking an experienced data professional. They will work directly with the Division Analytics Chief Data Engineer, frontend data visualization specialists, and product stakeholders by developing, deploying, and maintaining data pipelines from authoritative data sources needed for metrics and analytics. These data pipelines are crucial for the Division to gain insight into their data to positively influence decision-making at the highest levels and within individual teams.

What you will get to do:
  • Work with a team of talented professionals passionate about the work they do
  • Engage with teams across the entire program to understand their analytics and data modeling requirements
  • Help architect and build data pipelines connected to multiple program ASoTs
  • Apply data engineering processes and procedures to manage infrastructure, storage, and transformation of data to enable scalable and performant analytics
  • Develop and publish Tableau server dashboards and visualizations used to inform individuals and leaders across the program.
  • Apply state of the art data science approaches to develop analytical solutions providing program insights
  • Work within an agile framework focused on stakeholder outcomes
  • Recommend process changes to business leaders to improve efficiency

Basic Qualifications
  • 5 Years experience with bachelor's degree in relevant field of study; 3 years with masters; a PhD; or 4 additional years of relevant experience in lieu of a degree
  • Active U.S. Government DoD Secret security clearance at time of application, current and within scope, with an ability to obtain and maintain Special Access Program (SAP) approval within a reasonable period of time, as determined by the company to meet its business need
  • Proficiency in writing, optimizing, and troubleshooting complex SQL queries
  • Experience managing and maintaining SQL databases
  • Experience in defining and tracking key performance indicators (KPIs) and metrics related to business and engineering analytics
  • Expertise in developing and managing ETL processes
  • Advanced proficiency in Python programming for data analysis, manipulation, and automation
  • Proficient in using version control systems such as Git for collaborative development
  • Familiarity with Agile/Scrum methodologies for project management
  • Strong communication skills to present findings and insights to both technical and non-technical stakeholders effectively

Preferred Qualifications
  • 5 years of relevant experience with a bachelor's degree, 3 years relevant experience with a master's degree, or a PHD in either Data Science, Mathematics, Computer Science, or Engineering
  • Experience with IBM Rational DOORS requirements management software and with DXL (DOORS eXtension Language) scripting
  • Experience with Teamwork Cloud Cameo modeling software and its data structures
  • Strong experience in publishing, maintaining, and managing Tableau reports on Tableau Server
  • Capability to bridge the gap between business requirements and technical specifications
  • Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services
  • Familiarity with DevOps practices and tools for data science deployment
  • Proficiency in applying advanced statistical methods and machine learning techniques
  • Experience in performing predictive and prescriptive analytics

Primary Level Salary Range: $108,200.00 - $162,400.00
The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.
Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.
The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.
Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

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About Northrop Grumman

Sourced by ZipRecruiter

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible.

Industry

Space research administration

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

Year founded

1939

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