Data Scientist

About the role

Chat with Stripe sales Data Scientist Stripe logo Jobs Our opportunity Life at Stripe Benefits University See open roles Open mobile navigation Jobs Our opportunity Life at Stripe Benefits University See open roles Close mobile navigation Roles at Stripe Role details Data Scientist 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. 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 In-office expectations Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible. Pay and benefits The annual US base salary range for this role is $192,000 - $288,000. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. 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. Office locations Seattle Job type Full time Apply for this role We look forward to hearing from you At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us. 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