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Data scientist • kent wa
Senior Data Scientist
AkvelonWA- serp_jobs.job_card.promoted
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AkvelonWA- serp_jobs.job_card.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