Staff Data Scientist

7+ years (or 5+ with PhD) of proven track record in Data Science, Machine Learning, Computer Vision, or Image Analysis in industry.

Have a wealth of experience from working on complex, real-world AI problems in medical imaging or computer vision requiring careful consideration of data needs.

Proficient in Python, including statistical and machine learning packages (e.g.

scipy, sklearn, statsmodels, seaborn) with a commitment to writing clean, reproducible and scalable code.

Familiarity with image and 3D processing tools like VTK and ITK, and visualization tools like 3DSlicer and MITK, a plus.

Understanding of standard statistical techniques and ability to apply appropriate statistical methods to a range of data structures; experience with medical imaging data a plus.

$220,000 to

$280,000, bonus, and equity. #LI-IB1 #LI-Hybrid

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Engage with cross-functional teams (Product, Research,

Engineering, and Process Engineering) and help guide the overarching vision for data analysis, curation, and annotation to improve our AI models.

Drive the definition of algorithm and data requirements necessary to deliver on end-point objectives.

Data Campaigns and Annotation Strategy:

Introduce best practices and efficient processes to enable multiple, large-scale annotation campaigns for continuous AI product improvements.

Spearhead the strategic design of data campaigns needed to advance AI algorithms.