This position can be based in San Francisco or Remote.
Butter is the payments stack for the modern subscription economy. We're building an inclusive remote-first culture that enables our employees to contribute from anywhere in the world. We believe that anyone can have an impact so we want you to join our team to modernize subscription payments.
You will predict the future to drive value for our customers.
Our customers rely on us to help them recapture lost revenue and drive insights into their payments data.
You will help us uncover what we don't know and should be looking at, propose new areas for us to analyze and model. We'll also look to you to suggest new products we should consider offering customers. You'll ensure we have clean and accurate data for both reporting and modeling purposes.
You will build models, data pipelines, and business critical reports. You'll visualize the data for consumption both internally and externally (customer-facing).
Areas you're comfortable with:
You've have 3+ years of experience working in the field. You use sql, pandas, sklearn, spark and potentially tensorflow or pytorch to build models. For user segmentation you're considering KNN/K-means or perhaps DBSCAN. You have an understanding of when to use cosine similarity vs euclidian distance. Terms like dot product, boosting, bagging, and gradients aren't greek to you. XGBoost is something you've encountered before.
You strongly believe that action creates information.
You want to work on a small team and have lots of responsibility.
You look forward to being scrappy and enjoy overcoming challenges.
We are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply.
Butter Payments is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Atomic considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.
Please review our CCPA policies here.