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Data visualization Jobs in Kent, WA
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Data visualization • kent wa
Senior Data Scientist
AkvelonWASchool Data Assistant- Dartford
AcademicsKent, South EastData Entry Clerk
PrideStaffAuburn, WASHINGTON, USRegulatory Data Analyst
SouthEast Alaska Regional Health ConsortiumRenton,WAEngineering Data Analyst
MassGenicsAuburn, Washington- Promoted
Remote Accounting Expert - AI Trainer ($50-$60 / hour)
Data AnnotationFederal Way, Washington- Promoted
Data / Attendance Secretary - Elementary
Federal Way Public SchoolsAuburn, WA, United StatesWork from Home Data Entry Clerk
GL Inc.Renton, Washington- Promoted
Data Entry Product Support - No Experience
GLOCPAIssaquah, Washington- Promoted
Pharmacy Data Entry Technician
Key Compounding Pharmacy LLCFederal Way, WA, US- Promoted
Visualization Technical Support Specialist
VirtualVocationsRenton, Washington, United StatesData Engineer
HasbroRenton, WA, United StatesStaff Data Scientist
CrunchbaseWashington, United StatesData Center Procurement Killer!
RM Staffing B.V.Federal Way, WA, USSenior Data Solutions Analyst
World Vision USAFederal Way, WA, USSolutions Architect – Professional Visualization
NVIDIARemote, WA, USSoftware Engineer, Data Visualization
Stoke SpaceKent, Washington, United StatesData Center Maintenance Technician Sabey Data Centers
Another SourceTukwila, Washington, USAEngineering Data Analyst
Innova SolutionsAuburn, WashingtonThe average salary range is between $ 75,369 and $ 138,982 year , with the average salary hovering around $ 96,119 year .
- pediatric dentist (from $ 42,500 to $ 356,250 year)
- independent contractor (from $ 46,800 to $ 300,000 year)
- electrical engineering (from $ 138,750 to $ 245,000 year)
- solutions engineer (from $ 125,000 to $ 245,000 year)
- psychiatrist (from $ 46,875 to $ 241,962 year)
- machine learning engineer (from $ 109,500 to $ 238,773 year)
- flooring installer (from $ 39,000 to $ 234,000 year)
- engineering director (from $ 113,070 to $ 226,544 year)
- machine learning (from $ 109,500 to $ 221,400 year)
- dentist (from $ 50,000 to $ 220,000 year)
- Santa Clara, CA (from $ 98,000 to $ 200,000 year)
- Chicago, IL (from $ 99,238 to $ 192,500 year)
- Sunnyvale, CA (from $ 71,175 to $ 187,500 year)
- Seattle, WA (from $ 90,000 to $ 179,375 year)
- San Jose, CA (from $ 92,500 to $ 175,475 year)
- San Mateo, CA (from $ 92,500 to $ 175,350 year)
- San Francisco, CA (from $ 90,063 to $ 175,000 year)
- Phoenix, AZ (from $ 101,350 to $ 173,740 year)
- Daly City, CA (from $ 79,450 to $ 171,500 year)
- New York, NY (from $ 80,916 to $ 165,675 year)
The average salary range is between $ 82,499 and $ 153,216 year , with the average salary hovering around $ 105,000 year .
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Senior Data Scientist
AkvelonWA- Full-time
About us
Akvelon Inc. (USA) works in the field of software engineering based on a variety of technologies. Our company is a member of the vendor program, which gives employees the opportunity to work with clients in the United States and other countries ( Microsoft, Facebook, Airbnb, Dropbox, Pinterest, and many others). This is a great opportunity to learn from and work with leading engineers of world-renowned companies.
About project
We seek a highly skilled and motivated Senior Data Scientist to join our team. This role is critical in developing and implementing machine learning models and algorithms that enhance our AI-driven medical imaging platform. You will work closely with cross-functional teams, including software engineering, product management, and clinical experts, to develop innovative solutions that transform 2D X-ray images into 3D, ultimately impacting patient care.
Responsibilities
- Data Analysis :
- Analyze large datasets to extract meaningful insights and patterns.
- Perform exploratory data analysis to inform model development and refinement.
- Collaborate with clinical experts to understand and incorporate domain-specific knowledge into models.
- Model Development and Optimization :
- Design and develop machine learning models with the software engineering team.
- Ensure models are scalable, robust, and performant in real-world clinical settings.
- Monitor and evaluate model performance, making improvements as necessary.
- Stay current with the latest research and advancements in machine learning and medical imaging.
- Collaboration and Communication :
- Collaborate with cross-functional teams to understand user needs and translate them into technical requirements.
- Communicate technical progress and challenges to stakeholders, including executive leadership.
- Contribute to the development of technical documentation and presentations.
- Quality and Compliance :
- Implement best practices for data management, model development, and deployment.
- Ensure compliance with industry standards and regulatory requirements (e.g., HIPAA, FDA).
- Maintain a strong focus on quality assurance and user experience.
Requirements