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Discovery Machine Jobs in Draper, UT (NOW HIRING)

BYU Pathway

IT Data Scientist

Bluffdale, UT · On-site

$150 - $200/hr

Proven ability to lead knowledge discovery efforts and engineering of machine learning model development * Established track record with data wrangling and data transformation * Expert in coding in ...

ALPLA Group

Maintenance Technician

Salt Lake City, UT · On-site

Apply today and discover what a career at ALPLA can offer. What Will You Enjoy Doing Main ... Troubleshooting and repairs: o Diagnose technical problems and malfunctions in molding machines ...

Torus Inc.

Supply Chain Analyst

Salt Lake City, UT · On-site

$80 - $100/hr

Stay up to date with industry trends in electrical components and machining services. * Complete ... to discover, purchase, and install the Torus products that will help them live clean, renewable ...

Torus, Inc.

Supply Chain Analyst

Salt Lake City, UT · On-site

Stay up to date with industry trends in electrical components and machining services. * Complete ... to discover, purchase, and install the Torus products that will help them live clean, renewable ...

Acosta

Juice Barista Part Time

Murray, UT · On-site

$15 - $16/hr

Follow all safety requirementswhen using equipment (e.g. hot machinery or sharp blades). Practice ... Join Product Connections and discover a workplace where your ideas matter, your growth is supported ...

Acosta

Juice Barista Part Time

West Jordan, UT · On-site

$15 - $16/hr

Follow all safety requirementswhen using equipment (e.g. hot machinery or sharp blades). Practice ... Join Product Connections and discover a workplace where your ideas matter, your growth is supported ...

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Showing results 41-60

All JobsDiscovery Machine JobsDiscovery Machine Jobs in Draper, UT

Discovery Machine information

See Draper, UT salary details

$13

$24

$45

How much do discovery machine jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for discovery machine in Draper, UT is $24.63, according to ZipRecruiter salary data. Most workers in this role earn between $20.00 and $26.06 per hour, depending on experience, location, and employer.

What is the difference between Discovery Machine vs Data Analyst?

AspectDiscovery MachineData Analyst
Required CredentialsTypically requires a degree in computer science, data science, or related fields; certifications like AWS, Azure, or data analysis tools are commonUsually requires a degree in statistics, mathematics, or related fields; certifications in Excel, SQL, or data visualization tools are common
Work EnvironmentWorks in tech companies, data-driven industries, often in collaborative teamsWorks across various industries, including finance, marketing, healthcare, often in office settings
Employer & Industry UsageUsed in technology, software development, and data science companiesUsed across multiple industries for interpreting and visualizing data

The Discovery Machine and Data Analyst roles share overlapping skills in data handling and analysis but differ mainly in technical focus and industry application. Discovery Machines often involve working with AI and machine learning models, while Data Analysts focus on interpreting data to inform business decisions.

What job categories do people searching Discovery Machine jobs in Draper, UT look for?

The top searched job categories for Discovery Machine jobs in Draper, UT are:

What cities near Draper, UT are hiring for Discovery Machine jobs?

Cities near Draper, UT with the most Discovery Machine job openings:

Discovery Machine jobs near you

IT Data Scientist

The Church of Jesus Christ of Latter-day Saints

Bluffdale, UT • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Church of Jesus Christ of Latter-day Saints rating

8.7

Company rating: 8.7 out of 10

Based on 84 frontline employees who took The Breakroom Quiz

3rd of 18 rated religious organizations

Job description


An IT Data Scientist is a master professional who is fully responsible for advising the appropriate use and application of data science methods as well as overseeing the development and implementation of data science solutions. The Data Scientist provides senior-level leadership on the full spectrum of data science efforts. This role directs and guides the use, development, testing, implementation, and maintenance of data science models, in partnership with internal business intelligence stakeholders and in compliance with technical and architectural standards. This position is a senior technical expert in the application of data science methods to support strategic, operational, and tactical decision making. The person in this role mentors other data scientists and has influence across the organization.
This individual works with divine guidance to provide or support technology that furthers the mission of the Church and reflects the eternal impact of the gospel.
We value early, mid and late-career candidates and encourage all applicants with the posted skills and abilities to apply.
Responsibilities
Execute large scale models using advanced analytical, modeling, and machine learning techniques, including, but not limited to, Logistics Regression, Linear Models, Conjoint Analysis, Spatial Models, Time-series models
As part of the data intelligence team, create and support a cloud-based data science solution
Create scalable, efficient, automated processes for data analysis and machine learning models
Work closely with data engineers and product managers to turn data analysis into actionable algorithms
Champion a data-driven culture and help develop best-in-class data science capabilities
Create standards and procedures for data science teams
Provide significant direction for strategic plans and product roadmaps
Inform the development of requirements related to the creation, tracking, collecting, and accessing data
Analyze and protect data, including troubleshooting
Follow data science best practices
Fulfill technical lead role for data science solutions
Respond to escalated incidents and engage vendors as necessary
Conduct general research and evaluate emerging trends
Leverage skills, knowledge, and general professional experience to aid and mentor teammates
Qualifications
  • Master's degree required
  • 12 years relevant professional experience including eight years of experience supporting product development activities and guiding technology decisions
  • Experience with machine learning algorithms (Linear Regression, Multiple Regression, Decision Trees, Random Forest, Logistic Regression, Naïve Bayes, SVM, K-means, Hierarchical Clustering, Deep Learning, NLP)
  • Expert knowledge of machine learning libraries such as scikit-learn, TensorFlow, and keras
  • Significant experience with data mining and statistical analysis
  • Provide leadership to others working with large datasets for exploratory analysis
  • Proven ability to lead knowledge discovery efforts and engineering of machine learning model development
  • Established track record with data wrangling and data transformation
  • Expert in coding in an advanced coding language, such as Python
  • Demonstrated senior level understanding of statistics and math
  • Proven successful ability to work with large and complex data sets using SQL or Python
  • Quantitative aptitude and the ability to gather and interpret data
  • Possesses and applies comprehensive knowledge of multiple fields of specialization to the completion of significant assignments
  • Proven expertise in successful automation and deployment
  • Proven exceptional leadership skills
  • Experience working in a structured enterprise-scale operational environment on a global scale with thousands of users
  • Exceptional communicator; both written and verbal; including explaining complex situations and concepts in simple terms to a non-technical audience
  • Demonstrated ability to mentor and train peers
  • Strong understanding of the business processes being supported by the solution
  • Outstanding troubleshooter, with the ability to think under pressure and drive the hardest problems to resolution
  • This job operates in a professional office environment
  • To successfully perform the essential functions of the job there may be physical requirements which need to be met such as sitting for long periods of time and using computer monitors/equipment

Preferred:
  • PhD degree

About Us
Church employees find joy and satisfaction in using their unique talents and abilities to further the Lord's work. From the IT professional who develops an app that sends the gospel message worldwide, to the facilities manager who maintains our buildings- giving Church members places to worship, teach, learn, and receive sacred ordinances-our employees seek innovative ways to share the gospel of Jesus Christ with the world. They are literally working in His kingdom.
Only members of the Church who are worthy of a temple recommend qualify for employment. Apart from this, the Church is an equal opportunity employer and does not discriminate in its employment decisions on any basis that would violate U.S. or local law.
Qualified applicants will be considered for employment without regard to race, national origin, color, gender, pregnancy, marital status, age, disability, genetic information, veteran status, or other legally protected categories that apply to the Church. The Church will make reasonable accommodations for qualified individuals with known disabilities.

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