Verdigris

Moffett Field, CA
11-50 employees
Better data, smarter Buildings. Know your building's energy usage in time to save money.

Senior Data Scientist

Senior Data Scientist

This job is no longer open
Verdigris is on a mission to sustain and enrich human life through responsive energy intelligence. Our AI sensors automate energy management and predict unseen equipment failures in mission-critical buildings. This is a critical step for autonomous, sustainable environments responsive to their inhabitants. 

Extraordinary outcomes need exceptional teams. As a company we value working together and continuously growing.

About you

As a Senior Data Scientist, your mission is to bring insights to life. You will build robust, scalable, and efficient algorithms for reducing the energy footprint of buildings across the globe. You are a team-minded data scientist who will refine our tech stack, our engineering culture, mentor other engineers and impact our portfolio of mission-critical commercial buildings. Your primary responsibility is to produce robust and meaningful insights and automations for our customers, but also help scale a growing team. Your communication skills will allow you to convey information to your team members, sales, marketing, and other teams.

Responsibilities

    • You will mentor within a team of continuously improving engineers
    • You will enhance our agile engineering practices and pairing culture
    • You will research and develop novel IP and algorithms and help translate those into useful product features.
    • You will work across teams with product managers and customer teams to build deep customer empathy and prioritize work that delivers meaningful customer outcomes. 
    • You will also assist in deploying algorithms you have created to a production environment.
    • You’ll perform all necessary technical engineering skills to help meet the team and company goals.

Required Qualifications

    • You hold an advanced degree (BS or MS) in Computer Science, Software Engineering, Computer Engineering, Mathematics, Physics or equivalent
    • You learn continuously and are passionate about applying what you know about data science and ML in real-world applications such as reducing energy usage in buildings across the globe.
    • You have at least 4 years of full time industry experience and are an expert in data science
    • You have led and mentored engineering teams
    • You have engineered a full release cycle of a commercial product
    • You can code in 1 or more functional languages, Python, and Javascript.
    • You embrace paired programming, test driven development and continuous integration
    • You listen actively and build consensus
    • You empathize strongly with customer problems
    • You can communicate complex concepts simply

Nice to Haves

    • You are experienced in our Machine Learning Stack (Pandas, Tensorflow, Keras, Numpy, Scikitlearn, Python, Scython, Pytorch)
    • You are experienced in cloud computing environments like AWS, Docker, Kubernetes, Terraform.
    • You understand SQL and relational database architectures and tradeoffs (PostgreSQL, MySQL, MSSQL, etc.)
    • You’ve built and deployed production level machine learning and software at scale.
We invite you to include your GitHub/BitBucket/GitLab account, any blogs or websites you maintain, and any software projects you worked on that you're proud of with your submission.

Applying to Verdigris is a chance to make an impact by joining a mission-driven startup. We’re aggressively innovating for the energy management industry hoping to affect climate change.
Verdigrisians aim to be ego-free authorities in our fields. We take our work seriously and strive for an opportunity-filled environment supportive of curious minds. 

You can expect thoughtful, hardworking and funny teammates. When we are not sheltering-in-place, you can usually find someone to tour our historic NASA campus or make empanadas from scratch. We value differing perspectives and embrace candid, direct, and constant feedback. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, origin, gender, orientation, age, or status.
This job is no longer open
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