This job board retrieves part of its jobs from: Emploi √Čtudiant | Toronto Jobs | Work From Home

Tech jobs every day in Canada!

To post a job, login or create an account |  Post a Job

   Canadian Tech jobs   

Website updated every day with fresh jobs in the IT industry

previous arrow
next arrow
Slider

New

Data scientist co op 2019 kw

Capital One

This is a Full-time position in Kitchener, ON posted November 8, 2019.

Kitchener (93018), Canada, Kitchener,Kitchener, ON,At Capital One, were building a leading information-based technology company.

Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking.

We measure our efforts by the success our customers enjoy and the advocacy they exhibit.

We are succeeding because they are succeeding.

Guided by our shared values, we thrive in an environment where collaboration and openness are valued.

We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results.

We elevate each other and obsess about doing the right thing.

Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams.

Together, we are on a quest to change banking for good.

Data Scientist Co-op 2019 KW About Capital One Canada Weve been helping millions of Canadians for over 20 years by providing them with access to credit.

Were on a journey to put our customers first, and keep them there, by providing innovative, smart solutions that make banking effortless.

Working with us Capital One is more than you think.

Were a data-driven tech company that just happens to do credit cards.

We focus on customer-first solutions, and were united with this common goal.

We have all the advantages of a startup, with the resources of a big company.

Working here means youre curious, innovative spirit will be encouraged as you push boundaries and try new things, while your career is nurtured and supported.

Our environment is creative and filled with teams that are passionate about the dynamic work theyre doing.

Were ahead of other banks in tech and we want to keep it that way.

As the pioneers of Big Data in the financial industry, we thrive on using data analysis to solve complex problems and build a world class business.

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.

What youll be doing as a Data Scientist: 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.

The types of projects Data Scientists are responsible for include the following: 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 Basic qualifications: Currently enrolled in an Undergraduate or Masters program, graduating by 2020 Preferred qualifications: 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 Experience with statistical analysis and data mining using tools such as R, SAS, Matlab, Stata, or SPSS Experience building and maintaining data pipelines Experience in a Linux/Unix environment, with Git, AWS, or APIs Excellent verbal and written communication skills Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment.

We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com.

All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One’s recruiting process, please send an email to Careers@capitalone.com 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.

Capital One Financial is made up of several different entities.

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).