Sr Data Scientist Namer Emea at Zapier

Hi there!
 
We're looking for Senior Data Scientists to join the Data Insights team at Zapier. Data Insights is responsible for driving impactful insight, experimentation, and quantitative research at Zapier. We work across Product, Growth & Revenue, Marketing, and Support, steering our business stakeholders to make data-informed decisions and deepening business understanding of opportunities and risks.
Our Data Scientists are semi-embedded into different business zones, developing tight-knit thought partnerships with key stakeholders. We’re hiring for a range of zones (NAMER/EMEA), so if you are a creative quantitative analyst interested in helping to grow a product that helps the world automate their work so they can get back to living, this may be the right challenge for you!
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 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 hands-on experience in defining and analyzing large, complex datasets, finding actionable business solutions to loosely defined revenue and operations problems.

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’re also excited by helping your team and stakeholders develop KPIs and self-serve dashboards. We believe in empowering our stakeholders to build their own dashboards and own their own first-order analysis.

You’re technically competent with relevant analytics tools (e.g. Python or R), including at least one SQL dialect - they’re all about the same; we happen to use Redshift.

You have deep expertise in designing and analyzing rigorous experiments of varying degrees of complexity. This includes mastery of at least one data visualization tool. We primarily use Looker.

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 care about the details and understand that without high-quality instrumentation, we cannot drive high-quality, impactful insights.

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:
 

Analyze user behavior to find and explain novel drivers of key outcomes, such as activation, engagement, upgrades, and churn. Work with business teams to design, analyze and interpret experiments that help them to improve these metrics.

Drive proactive analysis/research into high-potential green fields.

Use a variety of statistical methods to explore, discover and present user and market insights in order to proactively guide a range of business decisions, such as how Zapier strategically positions itself in the automation market.

Ensure all teams have insight to data and can answer their own first-order questions.

Develop data literacy programs and provide easy-to-use tools with clear documentation, examples, and tutorials.

Perform basic ETL tasks to model new dimensions and facts in our data warehouse’s dimensional model. For the heavier lifts, you’ll be supported by Data Warehouse Engineering colleagues.

Tools you’ll probably use include AWS Redshift, SQL, Looker, Amplitude, DBT and Python or R.

As a part of Zapier's all-hands philosophy, help customers via support to ensure they have the best experience possible.


 
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:
United States: min 138,300 mid 172,900 max 207,500 USD
Canada: min 138,300 mid 172,900 max 207,500 CAD
Europe: min 82,600  mid 103,300  max 124,300 EUR
A Candidate's compensation package is finalized once the interview process is concluded and accounts for experience, competencies (job knowledge, skills and abilities) and internal equity. We use a competency-based approach to base pay, which means we set pay for all Zapier employees based on their competency and skills demonstrated in their role. In alignment with that philosophy, the upper half of a pay range is typically reserved for individuals who have consistently demonstrated a high level of job knowledge and skills for their current role and level while at Zapier.
For more information on Zapier’s Total Rewards please click here.
 
How to Apply
At Zapier, we believe that diverse perspectives and experiences make us better, which is why we have a non-standard application process designed to promote inclusion and equity. We're looking for the best fit for each of our roles, regardless of the type of education or companies in your background, so we encourage you to apply even if your skills and experiences don’t exactly match the job description. All we ask is that you answer a few in-depth questions in our application that would typically be asked at the start of an interview process. This helps speed things up by letting us get to know you and your skillset a bit better right out of the gate. Please be sure to answer each question; the resume and CV fields are optional.
After you apply, you are going to hear back from us—even if we don’t see an immediate fit with our team. In fact, throughout the process, we strive to never go more than seven days without letting you know the status of your application. We know we’ll make mistakes from time to time, so if you ever have questions about where you stand or about the process, just ask your recruiter!
Zapier is an equal-opportunity employer and we're excited to work with talented and empathetic people of all identities. Zapier does not discriminate based on someone's identity in any aspect of hiring or employment as required by law and in line with our commitment to Diversity, Inclusion, Belonging and Equity. Our code of conduct provides a beacon for the kind of company we strive to be, and we celebrate our differences because those differences are what allow us to make a product that serves a global user base.
Zapier is committed to inclusion. As part of this commitment, Zapier welcomes applications from individuals with disabilities and will work to provide reasonable accommodations. If reasonable accommodations are needed to participate in the job application or interview process, please contact jobs@zapier.com.
Even though we’re an all-remote company, we still need to be thoughtful about where we have Zapiens working. Check out this resource for a list of countries where we currently cannot have Zapiens permanently working.
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