$192,000–$288,000 Per Year
Analysis Skills, Architectural Analysis, Business Analysis, Computer Science, Data Management, Data Science, Database Extract Transform and Load (ETL), Forecasting, Machine Learning, Partner Sales, Performance Modeling, Python Programming/Scripting Language, R Programming Language, SQL (Structured Query Language), Sales Commission, Software Architecture Design, Statistics, Training Data Sets
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.
Data Scientist,Stripe, LLC, Seattle, WA. 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.
40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m. Salary: $192,000 - $288,000/yr.
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.
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.
Must also have the following:
- 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.
50% Telecommuting Permitted.
Multiple Positions Available.
Please apply online at https://bit.ly/4myoHm7 and click "Apply for this role" to submit your application- WA04