Is the Data Scientist role remote?

It's hybrid — Stripe expects some on-site time in Seattle, WA.

What's the salary range?

Stripe lists $192,000–$288,000 for this role.

How much experience is required?

3–3 years of relevant experience for this Data Scientist role.

Where is the role based?

Stripe is hiring for this position in Seattle, WA.

What's the tech stack?

Joblaze extracted these technologies from the posting: Machine Learning, statistical analysis, SQL, Python, R.

What seniority level is this role?

Stripe targets mid-level candidates for this position.

Is this full-time or contract?

Full-time for this Data Scientist role at Stripe.

Data Scientist at Stripe - Joblaze

Joblaze summary

In this role, the Data Scientist at Stripe will focus on applying statistical and machine learning techniques to large datasets, aiming to forecast user and product performance. Proficiency in Python, R, and SQL is essential, particularly for building ETL pipelines and implementing data-driven solutions. This position is ideal for someone with a strong quantitative background and at least three years of relevant experience, particularly in collaborating with product and business teams. Stripe's mission to enhance global economic access adds a significant layer of impact to the work.

Joblaze insights

Listed about a month ago on Joblaze — tracked directly from Stripe's career page.
Stripe has 511 other open roles including Product Designer, Internal Tools, Full Stack Engineer, Growth, Partner Development Manager.
2358 active Python roles on Joblaze right now.
1036 active SQL roles on Joblaze right now.
270 active Machine Learning roles on Joblaze right now.
Salary band is above the typical range for Data Science (median ~$174,500).

Quick facts

Is the Data Scientist role remote?: It's hybrid — Stripe expects some on-site time in Seattle, WA.
What's the salary range?: Stripe lists $192,000–$288,000 for this role.
How much experience is required?: 3–3 years of relevant experience for this Data Scientist role.
Where is the role based?: Stripe is hiring for this position in Seattle, WA.
What's the tech stack?: Joblaze extracted these technologies from the posting: Machine Learning, statistical analysis, SQL, Python, R.
What seniority level is this role?: Stripe targets mid-level candidates for this position.
Is this full-time or contract?: Full-time for this Data Scientist role at Stripe.

From the original posting

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

What you’ll do

Responsibilities

Apply statistical, time series forecasting and machine learning models on large datasets to predict future performance of users or products.
Partner closely with Sales and Data Science teams to identify important questions and answer them with data.
Design, implement and launch data science solutions using Python and R to empower data-driven decisions and products at scale.
Create analyses that generate insights for business teams.
Design, analyze, and interpret the results of experiments.
Build ETL data transformation pipelines in SQL.

Who you are

Minimum requirements

Must have a Master's degree or foreign equivalent in Computer Science, Business Analytics, Statistics, or a related quantitative field, plus 3 years of experience in a Data Scientist or related occupation.

3 years of experience building ETL data transformation pipelines in SQL;
3 years of experience working closely with product and business teams to identify important questions and answer them with data;
2 years of experience productionalizing and implementing machine learning models;
2 years of experience productionalizing and implementing software products;
2 years of experience designing, analyzing, and interpreting the results of experiments;
2 years of experience designing, and analyzing software architectures;
2 years of experience designing, implementing, and launching data science solutions;
2 years of experience designing, implementing, and launching software solutions; and
2 years of experience applying statistical and machine learning models on large datasets to predict future performance of users or products.

Salary : $192,000 - $288,000/yr.

This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary.

40 hrs/week

50% Telecommuting Permitted.

Multiple Positions Available.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. WA04 #LI-DNI