About the role

Aplyr's Quick Take

This role is for a Data Scientist at Stripe, focusing on applying statistical and machine learning models to large datasets. You'll work closely with Sales and Data Science teams to generate insights and build data-driven solutions using Python, R, and SQL. It's primarily an individual contributor role that involves both analysis and implementation.

Good fit

Ideal candidates have a Master's degree in a quantitative field and at least 3 years of relevant experience. You should be comfortable collaborating with business teams and have a strong background in data modeling and software development.

Worth noting

The salary range is quite high, reflecting the demand for skilled data scientists. The role emphasizes both technical skills and business acumen, which may appeal to those looking to bridge the gap between data science and business strategy.

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
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-D

LINI

Skills & Tags

python machine learning ai data analytics product design sales

Aplyr's read

Stripe is a financial technology leader, attracting innovative professionals passionate about transforming online commerce through cutting-edge payment solutions and APIs.
Synthesized from recent postings & public sources

What's promising

•Stripe offers robust career growth opportunities in a rapidly expanding fintech sector.
•The company is known for its innovative approach to online payment solutions.
•Stripe's global reach provides employees with diverse and dynamic work environments.

What to watch

•High-pressure environment due to fast-paced industry demands.
•Complex regulatory landscape could pose challenges for employees.
•Intense competition in the fintech space may impact job stability.

Why Stripe

•Stripe's APIs are integral to many e-commerce platforms worldwide.
•The company prioritizes developer-friendly solutions, setting it apart in fintech.
•Stripe's focus on seamless integration enhances user experience for businesses.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Stripe

Stripe

stripe.com

View company

Stripe is a technology company that builds economic infrastructure for the internet, providing payment processing software and application programming interfaces (APIs) for e-commerce websites and mobile applications. Their platform enables businesses of all sizes to accept payments, send payouts, and manage their businesses online, significantly impacting the way commerce is conducted globally.