Data governance • gresham or
About the Role We're looking for experienced data analysts and data scientists to work as Artifact Experts.You'll review, create, and comment on analytics artifacts — dashboards, analysis decks, SQ...Show more
His combination of honesty, courage and innovative abilities are the traits that embody the firm to this day.Our Mission is to excel at constructing complex infrastructure safer, better, and faster...Show more
Role Overview Mercor is collaborating with a leading AI lab to contract detail-oriented generalists for a data annotation project.Contractors will support the development of AI systems by categoriz...Show more
ACR‑accredited radiation oncology team serving three sites across the Portland–Vancouver area.Legacy Mount Hood Medical Center.Support additional programs and cross coverage at Good Samaritan Medic...Show more
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Econometric Data Analyst (Stata SE).Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform.AI labs and enterprises use micro1 to train mo...Show more
Phlebotomist Position at Mount Hood Hospital.Labcorp is seeking a Phlebotomist to join our team at Mount Hood Hospital in Gresham OR.Work Schedule: Flexible Schedule.Perform blood collections by ve...Show more
We're currently looking for individuals across the country to take part in online paid research, including remote focus groups, product trials, and consumer studies.Earn up to $750 a week in your f...Show more
MINIMUM EDUCATIONHigh School Diploma or GED requiredShow more
Dispatcher/Line Service Technician.Primarily responsible for maintaining a safe and efficient flight environment for customers and employees from around the world.Working in a dual position, Dispat...Show more
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The IT Business Systems Analyst serves as a critical liaison between business stakeholders and technical teams.This role is responsible for analyzing business processes, functions, and procedures t...Show more
NASDAQ: ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge.ADI combines analog, digital, and software technologies into ...Show more
DataAnnotation is committed to creating high-quality AI.Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule....Show more
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Econometric Data Analyst (Stata SE).AI labs train foundational models and enterprises build AI agents.We provide frontier evaluations and reinforcement learning environments used to improve LLM cap...Show more
Clients need a single point of contact who actually understands hardware, not just a relationship manager who has to relay every technical question.Projects span hardware deployment, structured cab...Show more
Project Accounting Specialist Sigma Design is a product development, engineering, and manufacturing firm.Based out of the Pacific Northwest, we offer innovative concept through production services ...Show more
We’re looking for Customer Support Product Testers across the US to work from home and help top brands improve their products before they hit the market.Show more
The average salary range is between $ 102,472 and $ 173,944 year , with the average salary hovering around $ 129,655 year .
About the Role
We're looking for experienced data analysts and data scientists to work as Artifact Experts. You'll review, create, and comment on analytics artifacts — dashboards, analysis decks, SQL / Python notebooks, and modeling spreadsheets — to ensure they meet a high standard of clarity, accuracy, and rigor. ## What You'll Do - Review existing analytics slides, notebooks, and sheets and provide detailed, constructive feedback - Create original analytics artifacts from scratch (insight decks, ad-hoc analyses, A / B-test write-ups, modeling spreadsheets) - Annotate and commentate on artifacts to improve structure, narrative, and analytical rigor - Apply data-analysis expertise to ensure artifacts reflect realistic, high-quality professional output ## Requirements - 4+ years of professional experience in data analysis, analytics engineering, or data science - Comfortable with SQL, Python or R, and presenting findings to non-technical stakeholders - Strong attention to detail and written communication - Self-directed; can deliver consistent, high-quality work on a flexible schedule
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