Beaverton, OR

Data Jobs in Beaverton, OR

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Today

Lead Data Scientist

Nike Beaverton, OR

Beaverton, OR

Today

Full time Python Data Analysis Data Analytics

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Job Description

The Lead Data Scientist role at Nike Sport Research Lab (NSRL) is an onsite position in Beaverton, OR, focused on hands-on technical leadership for projects that use sensor and camera data to understand human movement and athletic performance. You will partner with scientific and engineering teams to deliver validated, reusable insights and software capabilities.

What You’ll Do

Lead complex projects end-to-end using sensor and camera data to study human movement and performance.
Design rigorous analytical solutions, guide project execution, and collaborate with scientific and engineering partners to produce credible, useful, and reusable outcomes.
Apply machine learning, computer vision, signal processing, and statistical modeling to problems in human movement and athletic performance.
Create analytical workflows using data sources including IMUs, wearable sensors, camera-based systems, computer vision pipelines, and other measurement technologies.
Ensure algorithm outputs are connected to the movement or performance phenomena they represent by making assumptions, limitations, uncertainty, and failure modes explicit.
Coordinate complex technical execution by clarifying questions, defining analytical plans, communicating risks, and managing trade-offs.
Design and evaluate models and measurement approaches using appropriate scientific, statistical, and computational validation methods.
Build reusable datasets, software, pipelines, and documentation to support reproducible research and future project work.
Evaluate emerging methods and technologies and translate state-of-the-art research into practical, scientifically credible capabilities for athlete measurement and performance analysis.
Provide technical guidance through code and analysis review and mentorship, communicating methods and findings clearly to technical and non-technical partners.

Required Qualifications

Master’s degree in Computer Science, Data Science, Statistics, Engineering, Biomechanics, Kinesiology, Applied Mathematics, Physics, or a related field.
6+ years of applied experience post-degree in data science, machine learning, statistical modeling, signal processing, computer vision, or a related technical field, including ownership of complex projects.
Strong Python proficiency and experience building tested, maintainable, reproducible analytical software using modern version control, code review, and development practices.
Experience working with complex measurement data such as time-series signals, IMUs, wearable sensors, image or video data, camera-based systems, or multimodal datasets, including rigorous signal processing and computer vision model evaluation and validation.
Strong communication and collaboration skills.
Experience with human movement, biomechanics, physiology, sport science, pose estimation, sensor fusion, and cloud data platforms is strongly preferred.

Technologies You’ll Work With

Python
IMUs
Wearable sensors
Computer vision
Signal processing
Statistical modeling
Pose estimation
Sensor fusion
Cloud data platforms

Team and Reporting

The Lead Data Scientist partners with researchers in biomechanics, physiology, perception, and related disciplines, along with data scientists, engineers, product managers, and other innovation partners.
This role reports to the Director of Data Science and provides hands-on technical leadership within multidisciplinary project teams.

Benefits

Nike offers a generous total rewards package.
Casual work environment.
Diverse and inclusive culture.
Electric atmosphere for professional development.

Interview Accommodations

Nike offers accommodations to complete the interview process, including:

Screen readers
Sign language interpreters
Accessible and single location for in-person interviews
Closed captioning
Other reasonable modifications as needed

Hiring Process

Apply
Meet a Recruiter or Take an Assessment
Interview

Equal Opportunity Employer

NIKE, Inc. is an equal opportunity employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

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11d ago

Accounting & Treasury Data Analyst

Concora Credit Inc. Beaverton, OR

Beaverton, OR

11d ago

Full time Accounting Operations Data Analysis Data Analytics

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Job Description

The Accounting & Treasury Data Analyst role at Concora Credit Inc. focuses on connecting financial data with accounting and treasury operations. The position uses data pipelines and repeatable workflows to support daily treasury activities and improve month-end accounting close efficiency.

Key Responsibilities

Build and streamline repeatable workflows that support the month-end accounting close.
Design and implement data quality controls to maintain integrity across daily treasury functions.
Collaborate with accounting and other teams to automate manual data entry, reconciliations, and reporting processes.
Document new financial data processes, workflows, and system integration methods.
Extract, clean, and analyze high volumes of transaction data from multiple platforms.
Support cash and sub-ledger reconciliations to help accelerate close timeliness.
Manage treasury data feeds.
Create custom dashboards.
Assist in preparing various reports.

Required Qualifications

Bachelor’s degree in accounting, finance, data analytics, or a related field.
1 to 3 years of combined experience in financial data analysis, accounting operations, or corporate treasury.
Proficiency in SQL and Python.
Advanced Excel skills.
Experience working with large data sets.
Experience with data visualization.
Strong problem-solving abilities.
Attention to detail.
Effective communication skills, including the ability to explain technical data concepts to non-technical staff.

Technologies

SQL
Python
Excel
Databricks
NetSuite

Preferred Qualifications

Experience with Databricks, NetSuite, and financial planning software.
Strong knowledge of GAAP and cash workflows.

Benefits

Medical, Dental and Vision insurance for you and your family.
Paid Time Off (PTO).
6 company-observed paid holidays, plus 3 paid floating holidays.
401k after 90 days, with employer match up to 4%.
Pet Insurance.
Wellness perks including onsite fitness equipment at both locations, EAP, and access to the Headspace App.
Tuition Reimbursement.
Flexible Spending Accounts.
Life and AD&D Insurance.
Company paid Long-Term Disability and voluntary Short-Term Disability.

Location and Experience Level

Location: Beaverton, OR (onsite)

Minimum experience: 1 year

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1mo ago

Data Scientist - AI Trainer

DataAnnotation Beaverton, OR 🇺🇸 Remote

Beaverton, OR

1mo ago Closed

$50 - $100/hr Contract Ai Model Training Ai Trainer Ai Training

This position is no longer accepting applications (closed Sep 11, 2026).

Job Description

Work fully remote and set your own pace. DataAnnotation is seeking an existing Data Scientist - AI Trainer to support AI training by assessing quantitative model outputs, building and solving benchmarking problems, and providing clear feedback that helps AI systems reason about data and scientific questions. This is a contract role with flexible scheduling and hourly pay of $50 to $100 USD, with bonus rates available on some projects. Payment is made via PayPal.

In this role, your work directly supports the next generation of AI tools designed for quantitative reasoning. You will evaluate technical outputs for accuracy and real-world validity, and help shape how models learn from data, experiments, and analytical tasks.

Responsibilities

Review and evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, with a focus on technical accuracy and real-world validity.
Develop quantitative problems that are used to train and benchmark AI systems, covering topics such as forecasting, experimental analysis, optimization, and statistical inference.
Produce clear technical explanations and maintain well-documented analytical code.
Provide feedback that informs iterative updates to AI models built for quantitative reasoning and data analytics.

Requirements

3+ years of hands-on experience in a quantitative role or research environment (for example, data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or a related field).
Some coding experience, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (including A/B testing, hypothesis testing, regression, classification, and time-series forecasting).
Fluency in English (native or bilingual level) with strong writing skills.
A bachelor’s degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a Master’s or PhD is a plus.
Relevant credentials are a plus, such as Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise.

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work, using your own computer from home.
Competitive pay: projects are paid hourly at $50 to $100 USD per hour, with bonus rates available on some projects.
Impact: contribute to AI systems that reason about data and analytics.

Important notes: Payment is made via PayPal. DataAnnotation will never ask for any money. This job is only available to candidates located in the US, Canada, UK, Ireland, Australia, and New Zealand.

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Data Jobs in Beaverton, OR

Lead Data Scientist

Accounting & Treasury Data Analyst

Data Scientist - AI Trainer

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