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Data Science Jobs in Remote, OR (NOW HIRING)

Work closely with project teams, enterprise developers, systems analysts, data scientists, and architects to deliver solutions aligned with the enterprise-wide data strategy. * Monitor changes in the ...

Head of AI

OR · On-site +1

This executive role owns practice P&L, builds scalable offerings (GenAI, ML, data science, AI platforms, MLOps), and partners with sales and delivery leaders to expand revenue and customer impact ...

Head of AI

OR · Remote

This executive role owns practice P&L, builds scalable offerings (GenAI, ML, data science, AI platforms, MLOps), and partners with sales and delivery leaders to expand revenue and customer impact ...

Sr. Data Analytics Engineer

OR · Remote

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will ...

AWS Data Engineer Snowflake

OR · On-site

$107K - $128K/yr

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff Augmentation and Managed Services * We are BigData Experts * We are Cloud Experts * We are Enterprise ...

AWS Data Engineer Snowflake

OR · Remote

$117K - $140K/yr

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff Augmentation and Managed Services * We are BigData Experts * We are Cloud Experts * We are Enterprise ...

Be Seen First

Partner closely with Discovery Biology, Chemistry, and Formulation Science to evaluate nonclinical ... Data Standards & Protocol Governance: Author, update, and review experimental protocols to embed ...

New

Be Seen First

Partner closely with Discovery Biology, Chemistry, and Formulation Science to evaluate nonclinical ... Data Standards & Protocol Governance: Author, update, and review experimental protocols to embed ...

New

Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field. Python * Azure OpenAI * OpenAI APIs * LangChain * LangGraph * LlamaIndex * Semantic Kernel

Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field. * Python • Azure OpenAI • OpenAI APIs • LangChain • LangGraph • LlamaIndex • ...

... data, science, and technology to deliver bespoke engagement solutions that help clients reimagine how they engage with their patients, payers, people, and providers to improve treatment outcomes. Our ...

... data, science, and technology to deliver bespoke engagement solutions that help clients reimagine how they engage with their patients, payers, people, and providers to improve treatment outcomes. Our ...

AI Engineer

OR · On-site +1

Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field. * Python • Azure OpenAI • OpenAI APIs • LangChain • LangGraph • LlamaIndex • ...

... data, science, and technology to deliver bespoke engagement solutions that help clients reimagine how they engage with their patients, payers, people, and providers to improve treatment outcomes. Our ...

... data, science, and technology to deliver bespoke engagement solutions that help clients reimagine how they engage with their patients, payers, people, and providers to improve treatment outcomes. Our ...

Showing results 21-40

Data Science information

See Remote, OR salary details

$37.5K

$122.6K

$196.3K

How much do data science jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science in Remote, OR is $122,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $135,900.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What are the most commonly searched types of Data Science jobs in Remote, OR?

The most popular types of Data Science jobs in Remote, OR are:

What are popular job titles related to Data Science jobs in Remote, OR?

For Data Science jobs in Remote, OR, the most frequently searched job titles are:

What job categories do people searching Data Science jobs in Remote, OR look for?

The top searched job categories for Data Science jobs in Remote, OR are:

What cities near Remote, OR are hiring for Data Science jobs?

Cities near Remote, OR with the most Data Science job openings:

Infographic showing various Data Science job openings in Remote, OR as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $122,617 per year, or $59 per hour.

Lead, Enterprise Data Analyst

Under Armour, Inc.

OR • Remote

Full-time

Medical, Retirement

Re-posted 10 days ago


Under Armour rating

6.9

Company rating: 6.9 out of 10

Based on 113 frontline employees who took The Breakroom Quiz

22nd of 104 rated fashion retailers


Job description

Values & Innovation

At Under Armour, we are committed to empowering those who strive for more, and the company's values - Act Sustainably, Celebrate the Wins, Fight on Together, Love Athletes and Stand for Equality - serve as both a roadmap for our teams and the qualities expected of every teammate.

Our Values define and unite us, the beliefs that are the red thread that connects everyone at Under Armour. Our values are rallying cries, reminding us why we're here, and fueling everything we do.

Our pursuit of better begins with innovation and with our team's mission of being the best. With us, you get the freedom to go further - no matter your role. That means developing, delivering, and selling the state-of-the-art products and digital tools that make top performers even better.

If you are a current Under Armour teammate, apply to this position on the Internal Career Site Here. 

Purpose of Role

Under Armour is searching for a skilled Lead, Enterprise Data Analytics to join our Enterprise Data Management (EDM) organization. This role bridges business strategy and technical analytics execution, supporting executive reporting and partnering with senior leaders to deliver the metrics and insights used to run a large-scale, global business. You will lead the discovery, design, and delivery of scalable reporting solutions and data products across multiple business domains, enabling leadership and business units alike to make better, more informed decisions. 

Operating as a senior individual contributor, you will lead cross-functional analytics initiatives end-to-end, coach analysts, and raise the bar for analytical best practices across the team - aligning every deliverable with Under Armour's enterprise-wide data strategy.

Your Impact
  • Lead cross-functional requirements discovery and end-to-end analytics delivery, translating business strategy and KPIs into scalable reporting solutions. 
  • Serve as a shared analytics resource across multiple business domains (Retail, Wholesale, Ecommerce, Supply Chain, Sales, Finance, Merchandising, Marketing, and more), aligning business requirements with data and analytical solutions. 
  • Manage the intake and prioritization of analytics requests, balancing competing demands and setting clear expectations on scope, deadlines, and deliverables. 
  • Build and maintain dashboards, reports, and reusable data products using Under Armour's standard BI tools, with an emphasis on clarity, reusability, and self-service insight. 
  • Drive innovation in how UA reports on the business - modernizing, simplifying, and scaling reporting solutions, including the use of AI to accelerate insight delivery. 
  • Coach and mentor analysts, drive analytical best practices, and own documentation and knowledge transfer across the EDM Center of Excellence. 
  • Work closely with project teams, enterprise developers, systems analysts, data scientists, and architects to deliver solutions aligned with the enterprise-wide data strategy. 
  • Monitor changes in the business and proactively recommend where analytics can further improve performance, synthesizing and presenting findings and project status to stakeholders and leadership. 
Qualifications
  • Bachelor's degree with typically 8 years of relevant experience or Master's degree with typically 6 years of relevant experience or typically 12 years of relevant work experience without degree.  
  • 8 years of experience in business intelligence, data analytics, or data strategy roles, with a track record of delivering reporting solutions that drive business decisions.  
  • Hands-on experience with AI tools such as Claude / Claude Code, Codex, Microsoft Copilot, and Snowflake Cortex Code (CoCo). 
  • Experience engaging across business areas: Retail, Wholesale, Ecommerce, Supply Chain, Sales, Finance, Merchandising, Marketing, Accounting, Product, HR, and Emerging Markets.  
  • Demonstrated ability to lead cross-functional analytics initiatives and manage intake and prioritization with limited oversight.  
  • Proficiency in BI and reporting tools such as Tableau and Power BI, along with SQL; experience with Snowflake, DBT, and the modern data stack is a plus. 
  • Experience creating functional and technical specification documents. 
  • Proven ability to express complex operational and technical concepts in business terms, with excellent verbal and written communication skills. 
  • Highly organized self-starter with strong analytical, planning, and problem-solving skills; comfortable managing multiple priorities in a fast-paced, dynamic environment. 
  • Experience coaching or mentoring analysts and championing analytical best practices. 
  • ERP experience is a plus. 
Workplace Location
  • Location: Candidates must reside within a commutable distance to our corporate headquarters in Baltimore, Maryland, as periodic on-site attendance may be required
  • Travel: Possible travel to regional offices, conferences, and trainings
  • Sponsorship Eligibility: UA does not offer sponsorship of job applicants for employment-based work authorization for this position at this time.
Relocation
  • No relocation provided
  • #LI-CP1
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Base Compensation

$100,000.00-$135,000.00 USD

Most new hires fall within this range and have the opportunity to earn more over time. Initial placement within the salary range, however, is based on an individual's relevant knowledge, skills and experience for the position. UA is committed to helping our teammates succeed and advance in their careers. Base salary is only one component of our competitive Total Rewards package.

Benefits & Perks
  • Paid "UA Give Back" Volunteer Days: Work alongside your team to support initiatives in your local community
  • Under Armour Merchandise Discounts
  • Competitive 401(k) plan matching
  • Maternity and Parental Leave for eligible and FMLA-eligible teammates
  • Health & fitness benefits, discounts and resources- We offer teammates across the country programs to promote physical activity and overall well-being
Our Commitment to Equal Opportunity

At Under Armour, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, family or paternal status and any other characteristic protected by applicable law. Under Armour seeks to recruit, develop and retain the most talented people representing a wide variety of backgrounds and perspectives. If a reasonable accommodation is needed to participate in the job application or interview process, please contact our Human Resources team via candidateaccommodations@underarmour.com.


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