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Senior Data Science Startup Jobs in Utah (NOW HIRING)

BYU Pathway

IT Data Scientist

Bluffdale, UT · On-site

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 ...

BambooHR

Sr. Data Engineer

Draper, UT · Hybrid

$107K - $128K/yr

Essential Job Duties As a Senior Data Engineer, you will play a key role in designing, building ... Collaborate with data analysts, data scientists, ML engineers, business stakeholders, and AI ...

Bread Financial

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Senior Manager and above Direct Reports : 0 Work Environment * Normal office environment. (Remote ...

ParetoHealth

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

Position Summary: The Senior Data Engineer will design, build, and maintain serverless data ... The role will also partner with Data Science to support MLOps, including reproducible machine ...

Patientco

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

This is a senior individual contributor role focused on designing, building, and optimizing ... Bachelor's degree in computer science, Information Systems, Data Engineering, or a related field ...

Crew Career Center

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

This is a senior individual contributor role focused on designing, building, and optimizing ... Bachelor's degree in computer science, Information Systems, Data Engineering, or a related field ...

Patientco

Sr Director of Data Science

Lehi, UT

$237K/yr

Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. * 15 ... Strong understanding of data security, privacy regulations (e.g., HIPAA), and compliance ...

Waystar

Sr Director of Data Science

Lehi, UT · On-site

$237K/yr

Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. * 15 ... Strong understanding of data security, privacy regulations (e.g., HIPAA), and compliance ...

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IT Data Scientist

Bluffdale, UT • On-site

The Church of Jesus Christ of Latter-day Saints
Religious Organizations • 10K+ employees
Learn more about The Church of Jesus Christ of Latter-day Saintsexternal

Full-time

This job post has expired 1 day ago. 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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