Data Scientist, Full-time 2023 - Toronto, Canada - Capital One
Description
161 Bay Street , Canada, Toronto,Toronto, Ontario,Data Scientist, Full-Time 2023
As the pioneers of analytics in the financial industry, we are a company that thrives on data-driven strategy.
Looking forward, there are exciting opportunities for innovation as the industry becomes increasingly focused on digital technology and the amount of data available to drive our strategies continues to exponentially grow.
We offer exciting opportunities for innovation as the industry becomes increasingly focused on digital technology, and the amount of data available to ground our strategies continues to grow.
With your help, we will build the next generation of banking in Canada based on customer-focused values, compelling products and great engineering.
To succeed requires rigorous logical thinking, insatiable curiosity, adaptability, and exceptional teamwork. As a Capital One Data Scientist, you will be at the intersection of business strategy, mathematics, and technology.We hire a ton of Data Scientists straight out of school To give you an idea of what they do, take a look below
- Using machine learning and other data mining techniques to get insights from massive datasets, such as identifying fraud rings
- Understanding what problems create consumer calls through data mining interaction records
- Analyzing online banking patterns
- Mining vast amounts of data to identify trends in credit risk
- Using a combination of quantitative analysis and statistical methods to develop strategic insights and recommendations to optimize products or programs
- Adapting the latest technologies in modelling and data mining to design scientific tests that optimize dollars spent on new initiatives and marketing channels
- Building statistical models to form the foundation of business decisions and regularly monitoring the performance of those models so corrective action can be taken
The Basics What We Need from You
- Will obtain or have obtained a Bachelor's degree or higher and graduating in 2023
- Pursuing a degree in Mathematics, Statistics, Computer Science, Engineering, or another quantitative discipline
- Experience analyzing and manipulating large data sets using tools such as SQL or Python through coop or school programs
- Experience with statistical analysis and data mining using tools such as R, SAS, Matlab, Stata, or SPSS through coop or school programs
- Experience building and maintaining data pipelines
- Experience in a Linux/Unix environment, with Git, AWS, or APIs through coop or school programs is considered an asset
- Excellent verbal and written communication skills
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp.
(COPSSC).More jobs from Capital One
-
Sr. Associate, Process Manager – Research Operations
Toronto, Canada - 5 days ago
-
Manager, Digital Marketing
Toronto, Canada - 1 week ago
-
Manager, Quality Management Office
Toronto, ON, Canada - 1 week ago
-
Marketing Research Summer Intern 2024
Toronto, Canada - 4 days ago
-
Business Analyst
Toronto, Canada - 4 days ago
-
Manager, Operations
Toronto, Canada - 5 days ago