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Senior Product Manager - Applied Data Science

Company: Michael Page
Location: San Francisco
Posted on: September 16, 2021

Job Description:

MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.


* Collaborate with the clinical operations, clinical informatics, and clinical sales teams to develop a detailed understanding of the data work-flows.

* Define and highlight the areas with the largest impact from using data science techniques.

* Formulate a prioritized roadmap of ML/DL projects, defining a clear and measurable success criteria.

* Collaborate with the Data Science and Engineering teams to recommend the optimal ML/DL approach and technical design.

* Create a Data Science and Engineering dashboard to give stakeholders real time visibility on key performance and quality metrics in real-time.

* Drive toward a more agile pipeline development cycle, spanning between 2 to 4 weeks ideally.

* Manage external partners or contractors for labeling and annotation work

* Productize the ML/DL pipelines, ensuring that performance and quality meets expectations through measurable business metrics.

* 8 or more years of product management experience

* Deep knowledge of data operations and processes

* Deep expertise in all data science methodologies, techniques and approaches

* Hands on experience with Computer Vision, NLP based pipelines, and data analytic tools and practices

* Experience with data set curation, labeling, annotation tools and strategies

* Hands on expertise with defining data quality parameters and measurement techniques

* Firsthand experience in working with clinical operations, data scientists, and bioinformatics teams to deliver a unified data model/dictionary

* Experience working with external partners in areas such as labeling, annotation etc.

* Preferred: Expertise with healthcare data

Our client's goal is to empower citizens to have control over their health and healthcare data. With our client's platform, people can access their healthcare data as well as share it with respecting parties universally while streamlining the process to provide higher quality provider interactions, more efficient referrals and second opinions, share data with researchers looking for cures, and more precise clinical trial matches.

* Venture backed, Series A equity

* Generous Benefits and Discretionary Time Off

Keywords: Michael Page, San Francisco , Senior Product Manager - Applied Data Science, Other , San Francisco, California

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