Full-Stack Data Scientist
San Mateo, California
Applications have closed
Verkada
Imagine all your building and security products on a single cloud-managed platform, accessible from anywhere in the world. Free 30-day trial. Simple, secure and scalable.
Who We AreVerkada is the leader in integrated cloud-managed enterprise building security. Verkada combines our cloud-managed software platform with hardware powered by edge-based processing to provide customers with a real-time view into every part of their organization. Designed with simplicity in mind, Verkada’s video security cameras, access control and environmental sensors natively integrate with our platform and are virtually effortless to install, maintain, and manage across hundreds of sites. Verkada protects more than 6,000 organizations, including more than 30+ of the Fortune 500.
In order to protect the world, we need to talk to tens of millions of decision-makers and explain how Verkada products work. To do that at scale we build in-house solutions that optimize every single detail in the business conversation flow.
At the core of it is our understanding of web protocols and language, as well as the discipline of execution and innovation.
In contrast to classical SWE roles, we focus on 'zero to one' innovation first, and scalability/reliability second. In contrast to classical DS positions, we are constrained by solutions that involve humans in-the-loop ('hybrid AI'), which implies a stronger focus on architecture and UI rather than pure model training. In contrast to growth teams, we are 100% makers, we build things in-house and rethink the communication from a systems perspective. We essentially create scalable middleware that aligns the passion of Verkada product engineers with the needs of prospective customers.
Therefore, to be successful at the job you need to be willing to connect the dots across engineering and practical data science. This role will challenge you as you'd need to grow as a generalist, learn from others across different areas and focus on one area to master.
Verkada is an equal opportunity employer. We strive to be a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is support for members and allies of our internal communities like Women at Verkada, Pride at Verkada, Multicultural at Verkada and Parents at Verkada.
In order to protect the world, we need to talk to tens of millions of decision-makers and explain how Verkada products work. To do that at scale we build in-house solutions that optimize every single detail in the business conversation flow.
At the core of it is our understanding of web protocols and language, as well as the discipline of execution and innovation.
In contrast to classical SWE roles, we focus on 'zero to one' innovation first, and scalability/reliability second. In contrast to classical DS positions, we are constrained by solutions that involve humans in-the-loop ('hybrid AI'), which implies a stronger focus on architecture and UI rather than pure model training. In contrast to growth teams, we are 100% makers, we build things in-house and rethink the communication from a systems perspective. We essentially create scalable middleware that aligns the passion of Verkada product engineers with the needs of prospective customers.
Therefore, to be successful at the job you need to be willing to connect the dots across engineering and practical data science. This role will challenge you as you'd need to grow as a generalist, learn from others across different areas and focus on one area to master.
Ideal Qualifications
- raw smarts, ability to move fast across the innovation lifecycle, from 0 to 1 to n: idea/research, proof-of-concept, prototype, mvp, scalable solution
- for DS-inclined candidate: mastery of python and core statistics/ml/optimization principles, modern NLP/RL techniques is a plus but optional
- for SWE-inclined candidate: experience with setting up web servers, data pipelines (high frequency streams is a plus), job schedulers, message queues (python/go stack preferred), experience with single page front end frameworks is a plus but optional
- for all: positive attitude, first-principles thinking, passion for growth, contribution and impact
Responsibilities
- Design and build scalable, reliable systems, contribute to core infrastructure. Effectively articulate tradeoffs.
- Partner with engineering and business functions to align business requirements, technical roadmap and resources invested
- Come up with creative practical solutions given full autonomy and a budget to invest
- Think big, act with integrity
Verkada is an equal opportunity employer. We strive to be a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is support for members and allies of our internal communities like Women at Verkada, Pride at Verkada, Multicultural at Verkada and Parents at Verkada.
Tags: Data pipelines Engineering Machine Learning Model training NLP Pipelines Python Research Security Statistics
Perks/benefits: Career development
Region:
North America
Country:
United States
Job stats:
10
2
0
Category:
Data Science Jobs
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