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Statistical Learning Jobs in Orem, UT (NOW HIRING)

Data Analysis Tutor

Provo, UT · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of data collection methods, data cleaning, descriptive statistics, data ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of data collection methods, data cleaning, descriptive statistics, data ...

Complete familiarity with various statistical and machine learning techniques including: classification, regression, dimension reduction, clustering, and various multivariate methods * Complete ...

Complete familiarity with various statistical and machine learning techniquesincluding:classification, regression, dimension reduction, clustering,and various multivariate methods * Complete ...

Complete familiarity with various statistical and machine learning techniquesincluding:classification, regression, dimension reduction, clustering,and various multivariate methods * Complete ...

Data Science Tutor

Provo, UT · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

College Math Tutor

Provo, UT · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Skilled at breaking down function analysis, statistical inference basics, and mathematical modeling ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Skilled at breaking down function analysis, statistical inference basics, and mathematical modeling ...

Use statistical analysis and advanced machine learning techniques to build descriptive, diagnostic and predictive models. Use ML Ops to deploy models. Use PowerBI for business reporting and ...

Use statistical analysis and advanced machine learning techniques to build descriptive, diagnostic and predictive models. Use ML Ops to deploy models. Use PowerBI for business reporting and ...

X-ray Tubes Senior Manufacturing Engineer

Orem, UT · On-site

$79K - $108K/yr

Develop and implement Statistical Process Control (SPC) to monitor variation and changes in ... Considers changes, production issues, and new situations as opportunities for learning or growth.

Complete familiarity with various statistical and machine learning techniques including: classification, regression, dimension reduction, clustering, and various multivariate methods * Complete ...

Complete familiarity with various statistical and machine learning techniquesincluding:classification, regression, dimension reduction, clustering,and various multivariate methods * Complete ...

Complete familiarity with various statistical and machine learning techniquesincluding:classification, regression, dimension reduction, clustering,and various multivariate methods * Complete ...

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Statistical Learning information

See Orem, UT salary details

$61.1K

$80.9K

$96.5K

How much do statistical learning jobs pay per year?

As of Jul 16, 2026, the average yearly pay for statistical learning in Orem, UT is $80,915.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $95,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Statistical Learning Specialist, and why are they important?

To thrive as a Statistical Learning Specialist, you need a strong background in statistics, probability, and machine learning, typically supported by an advanced degree in statistics, mathematics, computer science, or a related field. Expertise with programming languages such as Python or R, experience with statistical software (e.g., SAS, MATLAB), and familiarity with data analysis libraries are essential. Critical thinking, problem-solving, and effective communication skills help translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful patterns from data and driving data-informed decision-making.

What is statistical learning?

Statistical learning is a field within data analysis and machine learning that focuses on understanding and modeling the relationship between variables using statistical methods. It involves techniques such as regression, classification, and pattern recognition, often utilizing tools like R or Python. Professionals in this area analyze data to make predictions or inform decisions based on statistical models.

What jobs make $1,000,000 a year?

In the field of statistical learning, high-paying roles such as data science executives, chief data officers, or senior machine learning engineers can reach or exceed $1,000,000 annually, especially in large tech companies or finance firms. These positions typically require advanced skills in statistical modeling, programming, and experience managing large datasets, often combined with performance-based bonuses and stock options.

What careers can you get with statistics?

A career in statistical learning can lead to roles such as data analyst, data scientist, statistician, machine learning engineer, and quantitative researcher. These positions typically require skills in programming, data analysis, and statistical software, and are common in industries like finance, healthcare, technology, and government. Certifications in data analysis or machine learning can enhance job prospects.

How do professionals in statistical learning typically collaborate with data scientists and domain experts on projects?

Professionals in statistical learning often work closely with data scientists and domain experts to ensure that the models they develop are both statistically sound and practically relevant. Collaboration usually involves joint problem definition, sharing data insights, and iterative feedback on model performance. Statistical learning experts contribute their knowledge of algorithms and statistical methods, while data scientists handle data pre-processing and engineering, and domain experts provide context to interpret results. This multidisciplinary teamwork helps ensure that solutions are robust and actionable for stakeholders.

Is 40 too late for data science?

Statistical learning roles in data science do not have strict age limits, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be developed through online courses, certifications, and practical experience regardless of age.

What is the difference between Statistical Learning vs Data Analyst?

AspectStatistical LearningData Analyst
Required CredentialsDegree in Statistics, Data Science, or related fieldsDegree in Statistics, Data Science, Business, or related fields
Work EnvironmentResearch, academia, tech companies, data science teamsBusiness, marketing, finance, healthcare organizations
Employer & Industry UsageTech firms, research institutions, startupsCorporations, consulting firms, government agencies
Common Search & ComparisonStatistical Learning vs Data Analyst

Statistical Learning focuses on developing models and algorithms to understand data patterns, often requiring advanced statistical and programming skills. Data Analysts interpret data to generate reports and insights, typically emphasizing data visualization and business understanding. While both roles analyze data, Statistical Learning is more research-oriented and technical, whereas Data Analysts focus on practical data interpretation for decision-making.

What are popular job titles related to Statistical Learning jobs in Orem, UT? For Statistical Learning jobs in Orem, UT, the most frequently searched job titles are:
AVP, Credit Model Development

AVP, Credit Model Development

Synchrony Financial

Draper, UT • On-site

Full-time

Posted yesterday


Synchrony Financial rating

9.1

Company rating: 9.1 out of 10

Based on 51 frontline employees who took The Breakroom Quiz

2nd of 148 rated financial services


Job description

Role Summary/Purpose:

Synchrony's Credit Account Management (ACM) - Model Development role will provide excellent opportunities to support our ACM analytics and modeling capabilities. In this role, you will contribute to the development and execution of models for customer account management.

The successful candidate will be responsible for executing key aspects of the model development lifecycle, including internal model building, assisting in the review of vendor models, supporting validation processes, and assisting with regulatory documentation. We are looking for a candidate who is curious and passionate about technical problem-solving and has hands-on experience in big data environments, computer programming, Python, AWS, Machine Learning (ML), or AI/GenAI.

The successful candidate will have good communication skills, solid hands-on model development experience, and an understanding of model risk. The role will focus on core technical model development and analytics to support account management.

Main Responsibilities:

  • Perform hands-on data collection, data cleansing, model development to support ACM model projects.

  • Partner with Model Risk Management on model validations, annual reviews, and ongoing assessments.

  • Analyze model performance and explain model behavior to business stakeholders.

  • Utilize advanced ML techniques to perform data mining for customer risk analysis and profiling.

  • Prepare and maintain comprehensive model documentation required to meet regulatory and compliance standards.

  • Lead automation initiatives using AWS, Python, Tableau, and related tools.

  • Build expertise in Synchrony's data warehouse and analytics ecosystem.

  • Perform other duties and/or special projects as assigned

Qualifications/Requirements:

  • Bachelor's degree in Statistics, Mathematics, Data Science, or a related quantitative field.

  • Approximately 3+ years of hands-on experience as a model developer or model validator, specifically within financial services, credit risk, or fraud analytics.

  • 2+ years of hands-on technical experience with data science/statistical tools and environments such as Python, Spark, AWS SageMaker, H2O, and SAS.

  • Strong written and verbal communication skills with the ability to present analytical findings and complex modeling concepts to diverse audiences.

  • Ability and flexibility to travel for business as required

Desired Qualifications:

  • Master's Degree or MBA with advanced analytic focus, or equivalent advanced degree

  • Experience using advanced modeling & data mining techniques (e.g. Machine learning, Big Data) to develop/ optimize Credit strategies

  • Strong communication and presentation skills and the ability to interact with and present to senior leaders and clients

  • Experience with commercial lending products and practices

  • Demonstrated ability to identify automation opportunities and lead initiatives that improve efficiency, data quality controls, and analytical processes.

Grade/Level: 10

The salary range for this position is 100,000.00 - 170,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance.

Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge.

Salaries are adjusted according to market in CA, NY Metro and Seattle.

Our Way of Working:

We're proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices.You will be required to commute to your nearestHub (either virtual or physical) for in-person engagement activities such as regularbusiness or team meetings, training and culture events.

*Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences.

Eligibility Requirements:

  • You must be 18 years or older

  • You must have a high school diploma or equivalent

  • You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process

  • You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.

  • New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months' time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months' time in position before they can post. All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don't meet the time in position or performance expectations).

Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Our Commitment:

When you join us, you'll be part of an inclusive culture where your individual skills, experience, and voice are not only heard - but valued. Together, we're building a future where we can all belong, connect, and turn ideals into action. More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow.

This starts when you choose to apply for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. We're proud to have an award-winning culture for all.

Reasonable Accommodation Notice:

  • Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

  • If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627. Representatives are available from 8am - 5pm Monday to Friday, Central Standard Time

Job Family Group:

Credit

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