Senior Data Analyst, Weights & Biases
Product, WNB
$165-242k
+ Employee Stock Purchase Program
MLOps platform for developers
Be an early applicant
MLOps platform for developers
201-500 employees
Be an early applicant
$165-242k
+ Employee Stock Purchase Program
201-500 employees
Company mission
Weights & Biases's mission is to build the best tools for machine learning.
Role
Who you are
- You’re someone who loves exploring user behavior and finding patterns in messy product data
- You enjoy collaborating with PMs and engineers, and you’re motivated by influencing product decisions with data
- You’re equally comfortable writing SQL, running an A/B test, or explaining your findings in plain English
- Strong SQL and python skills; experience with large, event-driven datasets
- Strong working familiarity with analytical and statistical techniques for analysis, testing, and identifying casual relationships
- Familiarity with common analytics concepts (funnels, retention, cohort analysis, experiment design)
- Ability to partner with PMs and engineers, and turn questions into structured analysis
- History of writing easy-to-follow code and effective documentation for your projects
- Experience with dbt, Hex, and experimentation platforms is a plus.
Desirable
- Autonomous: If you work well in a self-directed environment, and proactively find ways to improve processes and collaborate with team members or engaged users, your initiative will really shine in this role
- Outgoing and friendly: You'll love this role if you enjoy connecting with real users day to day, helping them solve issues and understand good patterns for using our tools. Day to day you'll be answering questions and requests with a kind, thoughtful tone that makes users feel appreciated and connected to our team
- Theoretical or practical knowledge of machine learning workflows and terminology
What the job involves
- As a Senior Data Analyst (for Product), you’ll be embedded with product teams to help them understand what’s working, what’s not, and where to focus next
- You’ll dig into usage data, run experiments, and build reporting that helps PMs and engineers see how customers are engaging with W&B. Your analyses will directly shape product direction
Our take
Weights & Biases (W&B) builds development tools for machine learning, helping businesses to create and use deep learning models. In order for deep learning to work, it’s necessary for companies to be able to monitor how the models are behaving as they are trained. With over 200,000 customers, W&B has differentiated itself from its competitors such as IBM Watson Studio and Valohai by focusing exclusively on machine learning practitioners and not on sales aspects of the technology, and by its competitive pricing.
The company has also launched a product to help different parties collaborate on machine learning models. This is geared at researchers, reducing the need for them to rerun their training examples repeatedly. Over time, this will help to move machine learning technology forward. What's more, W&B's technology is free for personal and academic use, which has fueled adoption enormously, and it is now being used by research institutions such as UC Berkeley and enterpise companies like Samsung and Salesforce.
The dependence on machine learning is growing as more and more companies begin to use artificial intelligence to handle business tasks, so demand for this sort of software is rising. Having raised substantial funding, W&B is moving to futher develop its product, grow its team and increase its marketing reach.
Steph
Company Specialist at Welcome to the Jungle
Insights
31% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Aug 2023
$50m
LATE VC
Oct 2021
$135m
SERIES C
Total funding: $250m
Company benefits
- 🏝️ Unlimited vacation time
- 🩺 100% Medical, Dental, and Vision for employees and Family Coverage
- 🏠 Remote first culture with in-office flexibility in San Francisco
- 💵 $500 home office budget with new high-powered laptop
- 🥇 Truly competitive salary and equity
- 🚼 12 weeks of Parental leave
- 📈 401(k)
Company HQ
SoMa, San Francisco, CA
Leadership
Chris Van Pelt
(CISO)Earned a BA in Computer Science at Hope College. Previously Lead Engineer and Founder of Figure Eight (acquired by Appen).
Lukas Biewald
(CEO)Earned a BS in Mathematics and MS in Computer Science from Stanford University. Previously Research Scientist and Founder, CEO of Figure Eight (acquired by Appen).
Shawn Lewis
(CTO)Earned his BS in Computer Engineering at Virginia Tech. Previously Engineer at Google and Founder at Beep Networks.
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