Data science [h1.location_city]
[job_alerts.create_a_job]
Data science • ventura ca
- [promoted]
Senior Engineering Manager, Data Science
VirtualVocationsSan Buenaventura, California, United StatesDirector, Data Science & Machine Learning
AngiCalifornia- [promoted]
Co-Founder in Residence, The Next Generation of Plastics Recycling
Deep Science VenturesOxnard, CA, USLead Data Engineer - AWS
Tiger AnalyticsOxnard, CA, United StatesScience Teacher – GCSE Drive – Guernsey
Marchant RecruitmentChannel Islands- [promoted]
Data Entry Online
SEETO REALTYOxnard, CA, USData Engineer
KORE1 TechnologiesOxnard, CA, US- [promoted]
Data Scientist
DEL REY Systems & Technology, Inc93043, CA, US- [promoted]
Senior Account Executive - Enterprise & Mid-Market (EU)
Science ExchangeOxnard, CA, US- [promoted]
Instructor in Earth Science (Part-Time Pool)
InsideHigherEdVentura, California, United StatesSenior Data Engineer
SimplePracticeOxnard, CA, United StatesFBS Associate Data Engineer
CapgeminiOxnard, CA, United StatesSenior Data QA Engineer
RxVantageOxnard, CA, United StatesData Engineer
Creative ChaosOxnard, CA, United StatesData Analyst
Barrow Wise ConsultingCA, USAFinancial & Data Analyst
PavagoOxnard, CA, US- [promoted]
Data Processes Manager - Remote
CRHOxnard, CA, USEARTH SCIENCE (ENVIRONMENTAL SCIENCE)
Santa Rosa Junior CollegeSonoma County, CA- [promoted]
Virtual Data Entry Clerk
Maxion CorpOxnard, CA, USSenior Engineering Manager, Data Science
VirtualVocationsSan Buenaventura, California, United States- [job_card.full_time]
A company is looking for a Senior Engineering Manager, Data Science.
Key Responsibilities
Lead and collaborate across R&D to drive business value through machine learning solutions
Work with product and engineering stakeholders to shape the strategic direction of AI-enabled products
Coach and mentor data scientists and ML engineers while executing ML initiatives
Required Qualifications
Advanced degree in Data Science, Statistics, Applied Math, Computer Science, Engineering, or equivalent disciplines
5+ years of experience leading Data Science and ML Engineering teams
Experience deploying machine learning solutions in large-scale production environments
Strong knowledge of statistics and machine learning foundations
Experience with ML model building using libraries such as Scikit, Tensorflow, and PyTorch