Data Analyst

At Weights & Biases, our mission is to build the best tools for AI developers. We founded our company on the insight that while there were excellent tools for developers to build better code, there were no similarly great tools to help ML practitioners build better models. Starting with our first experiment tracking product, we have since expanded our solution into a comprehensive AI developer platform for organizations focused on building their own deep learning models and generative AI applications.

Weights & Biases is a Series C company with $250M in funding and over 200 employees. We proudly serve over 1,000 customers and more than 30 foundation model builders including customers such as OpenAI, NVIDIA, Microsoft, and Toyota.

You will collaborate with Data Scientists, Machine Learning Engineers, and Product Engineers to understand our business through data and analytics. Through this role you will have frequent opportunities to partner with decision-makers across the business to perform key analysis, build robust reporting, and un-block the business by answering questions via our data. Data Science at W&B is a pillar of the product, business, and culture; as such the Data Science team informs strategy directly, and partners with all parts of the business to build a data-first habit.

Responsibilities

Collaborate across the business to create collective understanding of the business and product. create observability into our users and build collective understanding of our business and product.

Pair with our Data Engineers to expand and improve our data models in our warehouse.

Pair with our Data Scientists to apply and improve our statistical models for growth, churn, and other key business dynamics.

Requirements

Strong analytical and statistical intuition.

History of writing succinct and impactful reports and analysis.

History of writing easy-to-follow SQL and effective documentation for your projects.

Experience in one of the following domains: SaaS startups, web applications, B2B Marketing, and/or the AI market.

Basic knowledge of data orchestration / data pipeline tools (dbt, dagster, airflow, etc).

Theoretical or practical understanding of machine learning workflows and terminology.

Theoretical or practical understanding of web apps and best practices for logging and event instrumentation.

Core Skills

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.

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.

Curious and driven: Explore machine learning and learn more about the engineering stack and common ML workflows. Solve problems in both fast-paced, short term sprints and in larger, more long-term projects.

Organized: A core part of engineering support at Weights & Biases is organizing feedback from many channels into a single, orderly stream. Your organization skills and time management will be key to running this process well.

Benefits

🏝️ Flexible time off

🩺 Medical, Dental, and Vision for employees and Family Coverage

🏠 Remote first culture with in-office flexibility in San Francisco

💵 Home office budget with a new high-powered laptop

🥇 Truly competitive salary and equity

🚼 12 weeks of Parental leave (U.S. specific)

📈 401(k) (U.S. specific)

Supplemental benefits may be available depending on your location

Explore benefits by country

The US base pay for this position ranges from $99,000 USD per year in our lowest geographic market up to $128,000 USD per year in our highest geographic market. Weights & Biases is committed to providing competitive salary, equity and benefits packages for all full-time employees. Individual compensation will be commensurate with the candidate's experience, qualifications, and geographic location.

We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at careers@wandb.com.

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