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Stats Perform Jobs in Oregon (NOW HIRING)

Deloitte

Lead AI and Data Science Engineer II

Portland, OR · On-site

$108K - $143K/yr

... statistical and machine learning methods to generate rigorous, actionable insights. * Perform analytics in cloud-based environments, support the development of clear leadership-ready presentations ...

Town of Koehler

Office Asst V2

Portland, OR · On-site

$10K/yr

Compile, perform data analysis, prepare, and submit various reports including required AA/EEO statistical reports. Perform other duties as assigned. Examples of Duties test test link test.

Sandvik

Applications Engineer - Metrology

Tualatin, OR · On-site

Perform statistical analysis, measurement system analysis (MSA), and R&R studies * Measure and validate dimensional data using contact and non-contact tools * Analyze measurement results against ...

CoorsTek

Global Process Engineer Sr

Hillsboro, OR · On-site

$113K - $146K/yr

... statistical tools. * Experience managing and leading diverse project teams, acting as a team player with strong leadership abilities who communicate effectively. * Performs detail-oriented tasks ...

Upstart

Staff Analyst

OR · On-site +1

$61K - $81K/yr

Perform rigorous statistical analyses to evaluate past experiments and natural experiments * Build and maintain workflows that automate and scale standard reporting Minimum Qualifications * Master ...

Industrial Electric Manufacturing

Demand Planner

OR · Remote

$83K - $102K/yr

Perform other duties as assigned by supervisor. Competencies: * Analytical Skills: Ability to work with data to develop, analyze, and refine statistical forecasts. * Attention to Detail: High level ...

RLA Engineering LLC

Be Seen First

Wafer Fab Process Engineer

Corvallis, OR · On-site

... statistical analysis. Duties and Responsibilities * Develop fundamental understanding of ... Perform other duties as needed Education and Credential Requirements * Bachelor's degree in ...

Smarsh

Lead Data Scientist

OR · On-site +1

The ideal candidate for this position will possess the ability to perform both independent and team ... Solid statistics knowledge (hypothesis testing, ANOVA, chi-square tests, etc...) * Knowledge of NLP ...

AmeriSave Mortgage Corp.

$130K - $150K/yr

Write Python scripts to perform statistical analysis, automate data pipelines, and integrate machine learning workflows. Leverage Python for data preparation, model training, and result generation.

HiredFirst

Supervisor, Laboratory

The Dalles, OR · On-site

$2.5K - $2.9K/wk

... routine and stat testing * Supervise lab staff, scheduling, training, and performance * Ensure compliance with Joint Commission, CLIA, CAP, FDA, OSHA, and HIPAA * Perform Clinical Laboratory ...

RTI International

... across social, statistical, data, and laboratory sciences, engineering, and other technical ... Perform economic research tasks of significant technical complexity, applying standard and ...

PlayStation Global

Senior Product Analyst

OR · On-site +1

Lead A/B test experiments, validate test data, monitor progress, perform post-test analysis, and ... Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Business, Economics, or a ...

Tires Les Schwab

Lead Pricing Analyst

Bend, OR · On-site

... perform the essential functions/primary responsibilities. 40% - Market-Back Modeling & Statistical Analysis: * Architect, manage, and continuously refine value-based, market-back retail pricing ...

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Showing results 41-60

All JobsStats Perform JobsStats Perform Jobs in Oregon

Stats Perform information

See Oregon salary details

$25.4K

$104.7K

$176.6K

How much do stats perform jobs pay per year?

As of Aug 18, 2026, the average yearly pay for stats perform in Oregon is $104,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $113,100.00 per year, depending on experience, location, and employer.

What is Stats Perform?

Stats Perform is a global sports technology company that specializes in sports data and artificial intelligence (AI). They provide data, analytics, and insights to sports teams, media, and betting companies to enhance performance, fan engagement, and decision-making. Their services include live sports data, predictive analytics, and AI-driven content solutions across various sports. Stats Perform works with leagues, broadcasters, and digital platforms to deliver real-time data and innovative sports experiences.

How does a role at Stats Perform typically collaborate with data scientists and product teams to deliver sports analytics solutions?

At Stats Perform, professionals frequently work in cross-functional teams alongside data scientists, engineers, and product managers to develop and refine sports analytics products. Collaboration often involves regular meetings to discuss project requirements, share insights from data, and iterate on models or features based on feedback. Team members must communicate complex statistical findings in an accessible way to inform product development and ensure solutions meet the needs of clients, such as broadcasters, teams, or betting operators. This collaborative environment encourages ongoing learning and the chance to contribute to innovative, high-impact analytics projects.

What are the key skills and qualifications needed to thrive as a sports data analyst at Stats Perform, and why are they important?

To thrive as a Sports Data Analyst at Stats Perform, you need strong analytical skills, statistical knowledge, and experience with data analysis, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with technical tools such as Python, R, SQL, and sports analytics platforms is essential, along with experience in data visualization software. Exceptional attention to detail, communication, and problem-solving abilities help analysts interpret data and share actionable insights with stakeholders. These skills ensure the accurate delivery of data-driven insights that inform strategy and enhance sports performance analysis.

What is the difference between Stats Perform vs Data Analyst?

AspectStats PerformData Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; experience with sports data and analyticsDegree in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentSports analytics companies, media, and broadcasting firmsVarious industries including finance, marketing, healthcare, and sports
Employer & Industry UsageSpecialized in sports data and performance analyticsBroadly used across multiple sectors for data-driven decision making
Common Search & ComparisonOften compared for sports analytics rolesCompared for general data analysis roles

Stats Perform specializes in sports data and analytics, focusing on performance insights for sports organizations and media. Data Analysts have a broader scope, working across various industries to interpret data and support decision-making. While both roles require similar technical skills and educational backgrounds, Stats Perform roles are industry-specific, whereas Data Analysts work in diverse sectors.

What are popular job titles related to Stats Perform jobs in Oregon?

For Stats Perform jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Stats Perform jobs in Oregon look for?

The top searched job categories for Stats Perform jobs in Oregon are:

Stats Perform jobs near you
Infographic showing various Stats Perform job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $104,680 per year, or $50.3 per hour.

Lead AI and Data Science Engineer II

Deloitte

Portland, OR • On-site

$108K - $143K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services

Job description

Lead AI and Data Science Engineer II

Drive the design and delivery of advanced analytics, artificial intelligence (AI), and generative artificial intelligence (GenAI) solutions that inform Talent strategy and workforce decisions. In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You will also partner with business, Talent, and technology stakeholders to translate workforce data into actionable insights, tools, and recommendations.

Recruiting for this role ends on August 10, 2026.

Work You'll Do

In this role, you will lead the data science dimension of that work, shaping research design, analytical methodology, and solution development while helping develop junior data scientists across the full analytics lifecycle.

Strategy & Stakeholder Partnership

  • Partner with the Advanced Analytics & AI leader to help shape and execute the People Analytics portfolio, using data-driven insights to inform Talent strategy, establish priorities, and manage multiple initiatives.
  • Collaborate with stakeholders across Talent, business leadership, and ITS to define business needs, identify analytics opportunities, communicate complex technical concepts, and advise on the benefits and limitations of automation and artificial intelligence (AI).
  • Develop and drive strategy to understand and improve data quality across relevant Talent data assets.

Analytics & Data Science

  • Design and structure analytical work, including research design, project planning, and use case development, and apply advanced statistical and machine learning methods to generate rigorous, actionable insights.
  • Perform analytics in cloud-based environments, support the development of clear leadership-ready presentations, and stay current on developments in data science, behavioral science, and adjacent disciplines.

Software & Data Engineering

  • Develop full-stack, web-based data and generative artificial intelligence (GenAI) applications that improve Talent reporting and business operations.
  • Partner with data engineering teams on pipeline architecture and infrastructure, using knowledge of extract, transform, load (ETL), version control, and continuous integration and continuous delivery (CI/CD) concepts to inform technical decisions.

People Leadership

  • Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing and data collection through analysis and synthesis of findings.
  • Provide structure and oversight for analytically complex projects, while assessing talent, delivering developmental feedback, and contributing to a high-performing analytics team.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

The Talent Experience & Engagement, People Analytics - Advanced Analytics & AI team helps the firm make informed people and business decisions by translating workforce data into actionable insights, tools, and strategies. The team combines behavioral science, organizational research, advanced analytics, and artificial intelligence (AI) to address leadership questions, improve decision-making, and create scalable solutions with measurable impact.

The work is delivered through two connected capabilities. Organizational research and storytelling ground analyses in rigorous social science and clear, decision-oriented narratives. Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns in workforce data, build data and generative artificial intelligence (GenAI) applications, and partner with Talent data engineering teams on pipelines and infrastructure.

Qualifications

Required:

  • Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • 6+ years of experience in data science, analytics, or applied research
  • Experience using Python and Structured Query Language (SQL), with working knowledge of JavaScript, TypeScript, HyperText Markup Language (HTML), and Cascading Style Sheets (CSS)
  • Experience applying multivariate statistics and machine learning methods, including regression, structural equation modeling, factor analysis, decision trees, clustering, and dimension reduction, in Apache Spark or Databricks environments
  • Experience developing artificial intelligence (AI) or generative artificial intelligence (GenAI) applications and working with extract, transform, load (ETL), pipeline design, and orchestration concepts
  • Demonstrated experience leading AI strategy and enabling adoption of AI or data engineering tools within a complex organizational environment
  • Mentorship of junior and mid-level analysts, providing guidance across the analytics lifecycle from conception through data mining/analysis and synthesis of results
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Doctor of Philosophy (PhD) in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • Experience in a professional services organization or large matrixed organization
  • Experience designing and building end-to-end data pipelines for reporting and analytics
  • Experience applying behavioral science frameworks to interpret workforce data and generate insight - not solely technical or statistical proficiency
  • Experience with talent systems such as OneModel or SAP

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $118700 to $218600.

Qualifications:

Lead AI and Data Science Engineer II

Drive the design and delivery of advanced analytics, artificial intelligence (AI), and generative artificial intelligence (GenAI) solutions that inform Talent strategy and workforce decisions. In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You will also partner with business, Talent, and technology stakeholders to translate workforce data into actionable insights, tools, and recommendations.

Recruiting for this role ends on August 10, 2026.

Work You'll Do

In this role, you will lead the data science dimension of that work, shaping research design, analytical methodology, and solution development while helping develop junior data scientists across the full analytics lifecycle.

Strategy & Stakeholder Partnership

  • Partner with the Advanced Analytics & AI leader to help shape and execute the People Analytics portfolio, using data-driven insights to inform Talent strategy, establish priorities, and manage multiple initiatives.
  • Collaborate with stakeholders across Talent, business leadership, and ITS to define business needs, identify analytics opportunities, communicate complex technical concepts, and advise on the benefits and limitations of automation and artificial intelligence (AI).
  • Develop and drive strategy to understand and improve data quality across relevant Talent data assets.

Analytics & Data Science

  • Design and structure analytical work, including research design, project planning, and use case development, and apply advanced statistical and machine learning methods to generate rigorous, actionable insights.
  • Perform analytics in cloud-based environments, support the development of clear leadership-ready presentations, and stay current on developments in data science, behavioral science, and adjacent disciplines.

Software & Data Engineering

  • Develop full-stack, web-based data and generative artificial intelligence (GenAI) applications that improve Talent reporting and business operations.
  • Partner with data engineering teams on pipeline architecture and infrastructure, using knowledge of extract, transform, load (ETL), version control, and continuous integration and continuous delivery (CI/CD) concepts to inform technical decisions.

People Leadership

  • Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing and data collection through analysis and synthesis of findings.
  • Provide structure and oversight for analytically complex projects, while assessing talent, delivering developmental feedback, and contributing to a high-performing analytics team.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

The Talent Experience & Engagement, People Analytics - Advanced Analytics & AI team helps the firm make informed people and business decisions by translating workforce data into actionable insights, tools, and strategies. The team combines behavioral science, organizational research, advanced analytics, and artificial intelligence (AI) to address leadership questions, improve decision-making, and create scalable solutions with measurable impact.

The work is delivered through two connected capabilities. Organizational research and storytelling ground analyses in rigorous social science and clear, decision-oriented narratives. Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns in workforce data, build data and generative artificial intelligence (GenAI) applications, and partner with Talent data engineering teams on pipelines and infrastructure.

Qualifications

Required:

  • Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • 6+ years of experience in data science, analytics, or applied research
  • Experience using Python and Structured Query Language (SQL), with working knowledge of JavaScript, TypeScript, HyperText Markup Language (HTML), and Cascading Style Sheets (CSS)
  • Experience applying multivariate statistics and machine learning methods, including regression, structural equation modeling, factor analysis, decision trees, clustering, and dimension reduction, in Apache Spark or Databricks environments
  • Experience developing artificial intelligence (AI) or generative artificial intelligence (GenAI) applications and working with extract, transform, load (ETL), pipeline design, and orchestration concepts
  • Demonstrated experience leading AI strategy and enabling adoption of AI or data engineering tools within a complex organizational environment
  • Mentorship of junior and mid-level analysts, providing guidance across the analytics lifecycle from conception through data mining/analysis and synthesis of results
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Doctor of Philosophy (PhD) in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • Experience in a professional services organization or large matrixed organization
  • Experience designing and building end-to-end data pipelines for reporting and analytics
  • Experience applying behavioral science frameworks to interpret workforce data and generate insight - not solely technical or statistical proficiency
  • Experience with talent systems such as OneModel or SAP

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to ski...

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