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Manager Statistical Programming Jobs In San Francisco Ca - 8 Job Positions Available

1 – 8 of 8 jobs
Salesforce jobs

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job CategoryProduct Job Details About Salesforce Salesforce is the #1 AI

Salesforce  17 days ago
HeartFlow, Inc. jobs

Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship product—an AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest

HeartFlow, Inc.  14 days ago
Airbnb jobs

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every

Airbnb  11 days ago
Atlassian jobs

Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and

Atlassian  10 days ago
Doximity jobs

Doximity is transforming the healthcare industry. Join our mission to help every physician be more productive and provide better care for their patients. As medicines largest network in the United States, theres an elevated level of

Doximity  7 days ago
Lyft jobs

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year

Lyft  5 days ago
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MAXIMUS jobs

Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side

MAXIMUS  17 days ago
MAXIMUS jobs

Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side

MAXIMUS  17 days ago

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