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Remote Data scientist Jobs in Spokane Valley, WA
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Data scientist • spokane valley wa
Senior Data Scientist
AkvelonWAPrincipal Data Scientist
T-MobileWA, , Building 2Data Entry Product Support - No Experience
GLOCPASpokane, WashingtonWork from Home Data Entry Clerk
GL Inc.Spokane, WashingtonData Scientist
Versa NetworksSpokaneData Scientist, Autonomous Vehicle Infrastructure Analytics
NVIDIARemote, WA, USProcess Development Scientist (Inspection development) 34160
CIS International LLCSpokane, WA, United StatesMedical Laboratory Scientist MLS or MLT 0002
Spearhead Staffing LLCSpokane, WAAI Research Scientist : AEC. Remote US or Canada
AutodeskRemote, Washington, USAEntry Level Data Scientist
SynergisticITSpokane, WA, USLead Electrical Engineer - Data Centers
McKinstrySpokane, WAStaff Data Scientist
CrunchbaseWashington, United StatesSenior Data Scientist - Algorithm Architect
MaximusSpokane, USData Analyst - Asset Management
InteconWA, US - Remote (any location)Data Entry Clerk Jobs - Hiring
MyJobResourceSpokaneData Entry Clerk (100% Remote)
RemoteOnlineSpokaneData Entry Work From Home
Only Data Entry ClerkSpokaneProcess Development Scientist
Weil Group, IncSpokane, WA, United StatesData Entry Clerk - Work From Home
FireWorks Remote JobsSpokane, WA, USSr Data Analyst (Pharmacy Claims)
Molina HealthcareSpokane, WA, United StatesThe average salary range is between $ 119,649 and $ 201,247 year , with the average salary hovering around $ 152,486 year .
- director of software engineering (from $ 160,600 to $ 245,000 year)
- machine learning engineer (from $ 145,000 to $ 235,450 year)
- machine learning (from $ 135,458 to $ 234,943 year)
- rf design engineer (from $ 115,000 to $ 226,693 year)
- director of analytics (from $ 81,250 to $ 225,000 year)
- engineering program manager (from $ 175,250 to $ 221,600 year)
- reliability engineer (from $ 120,000 to $ 219,500 year)
- rf engineer (from $ 132,246 to $ 219,500 year)
- verification engineer (from $ 145,486 to $ 217,750 year)
- software engineering manager (from $ 167,500 to $ 211,000 year)
The average salary range is between $ 102,614 and $ 172,004 year , with the average salary hovering around $ 128,698 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