United States onlyAt Weights Biases, our mission is to build the best developer tools for machine learning. Weights Biases is a series C company with $250 million in funding and a rapidly growing user base. Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue Cross Blue Shield, Lyft, and more.
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 unblock the business by answering questions via our data. Data Science at WB 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 a collective understanding of the business and product. Create observability into our users and build a 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
- Experience in one of the following domains: SaaS startups, B2B Marketing, and/or the AI market.
- 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.
- 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.
Our 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
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 [email protected].
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