Staff Data Scientist (AMER)

Location: AMERICAS EAST COAST UTC-5

Our fully remote, distributed environment enables us to work with awesome people from around the world. Our team members work from 38 different countries. We generally hire based on timezones and try to keep teams together by making sure that every Zapien overlaps with their manager & teammates for at least a few hours a day.

 

Hi there!

We're looking for Staff Data Scientists to join the Data Enablement team at Zapier.

Data Enablement is responsible for catalyzing our data science capabilities by empowering data scientists and business stakeholders through owning our experimentation and data science platforms.

If you’re interested in advancing your career at a fast-growing, profitable, impact-driven company, then read on…

• Our Commitment to Applicants
• Culture and Values at Zapier
• Zapier Guide to Remote Work
• Zapier Code of Conduct
• Diversity and Inclusivity at Zapier

 

About You

• You have experience working with Machine Learning models in production. You have 5+ years of relevant experience writing clean Python code with reproducible results. You also have experience with some of the following tools/concepts: unit testing, OOP, packaging, app creation frameworks.
• You are a skilled written communicator. Zapier is a 100% remote team and writing is our primary means of communication. You communicate complex technical topics clearly and in an approachable way.
• You have proven stakeholder management expertise. As a collaborative thought partner, you're gifted at explaining your findings clearly to a non-technical audience.
• You have deep expertise in designing and analyzing rigorous experiments of varying degrees of complexity. This includes mastery of A/B test design.
• You combine your strong business acumen with statistical expertise (e.g. confidence intervals, regression modeling, significance testing). This includes demonstrated experience with common machine learning techniques for deep data mining and exploration (e.g. predictive modeling, time series modeling, classification, and clustering techniques).
• You enjoy collaboration and knowledge sharing. You appreciate our team’s values of eagerness to collaborate with teammates with any level of statistical knowledge, iterating over your deliverables, and being curious.
• You understand that perfect is the enemy of good. You will default to action by initially shipping solutions that simply work and work simply while iterating as needed.

 

Things You’ll Do

Zapier is a fast-growing and remote-first company, so you'll get experience on many different projects to support our stakeholders. Here are some things you might get to help our teams with:

• Work with Engineering teams on fine tuning Large language Models, as well as improve our systems and processes in the space.
• Improve our Experimentation Platform by leading change on tooling, infrastructure and design, expanding its use cases beyond traditional A/B testing, owning documentation and advocating usage among technical and non technical stakeholders.
• Assist multiple data teams on advanced Experimentation and Machine Learning projects.
• Ensure all data teams have the best tools and processes in place  to serve our stakeholders and derive value from data.
• Develop data literacy programs and provide easy-to-use tools with clear documentation, examples, and tutorials.
• Tools you’ll probably use include AWS Redshift, SQL, Looker, dbt, Databricks, Airflow, Eppo, and Python.

 

Zapier Compensation Guiding Principles

We believe all Zapiens should be rewarded competitively and equitably, using practices that are simple and transparent. This philosophy ensures we’re able to find, grow, and retain exceptional people from a broad range of backgrounds. Here’s how we define our compensation principles:

• Competitive: Zapier pays well among the technology sector.
• Equitable: Consistent pay practices; competency-based pay.
• Simple: Pay is well understood, and pay practices are built for scale.
• Transparent: Zapiens know how pay works, including how their pay is determined.

The pay ranges for this role are: