23222 Senior Data Scientist (Machine Learning / Computer Vision) - HealthTech / Diagnostics

Sunnyvale, CA

Posted: 06/20/2018 Industry: Data Scientist Job Number: 23222

Job Description

Category : Data Scientist
Location/City : CA - Sunnyvale
Area Code : 650
Job Type : 1: Full Time
Country/Locale : USA
Id : 23222

23222 Senior Data Scientist (Machine Learning / Computer Vision) - HealthTech / Diagnostics Location: Sunnyvale, CA
Our client is a consumer medical devices company developing a human-centered suite of products using science and technology to empower everyday people to monitor and better understand their health anytime, anywhere. Be a part of a team whose vision is to combine a broad array of electrical and biochemical sensors with intelligent algorithms to develop In-vitro diagnostic and medical devices that will support personalized medicine.
Do some good. Have fun. Make history.

Job Description
The Senior Data Scientist will contribute directly to algorithm development; design, training, and implementation in a collaborative environment. We are seeking a highly technical, data-centric individual with great communication skills to join our client ?'s team. The Senior Data Scientist will be a member of the Algorithms and Machine learning group, working closely with the Principal Data Scientist, the VP of Engineering, and the Data engineering teams.

Duties and Responsibilities
-Design and development algorithms related to image analysis and machine learning systems in a mobile environment.
-Able to demonstrate that the developed algorithms meet accuracy requirements.
-Provide guidance to data collection teams on test protocols including design of experiments, number of samples, and protocols for data collection.
-Summarize algorithm development, training and validation of the algorithms in technical reports.
-Write specifications and requirements related to the algorithms for the product development phase.
-Provide guidance to software team for implementation of the algorithms during the product development phase.
-Collaborate closely with other cross-functional teams to validate the developed algorithms we are a small team, everyone must be ready to roll up sleeves and help cross-functionally to improve efficiency and create excellent products. Required Experience
-Master's or PhD. in computer science, data science, applied mathematics, engineering, or related technical field.
-5+ years (Masters.) or 3+ years (Ph.D.) experience in algorithm development.
-Knowledge of machine learning and data mining.
-Solid understanding of supervised learning algorithms including regression, support vector machines with kernels, and neural networks, cross-validation techniques, feature extraction, feature selection and color image analysis.
-Excellent programming skills in Matlab, Python.
-Strong verbal communication skills; able to translate data technology across teams.
-Ability to focus and to achieve scheduled milestones; possessing a passion for data accuracy.
-Excellent written communication skills. Preferred Experience
-Experience with regulated consumer devices (such as in the medical/healthcare arena or quality controlled environment).
-A desire to learn new biotechnologies quickly and work in a fast-paced, dynamic, collaborative environment.

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