# Director, Data Science **Company**: Capital One Canada **Location**: Toronto, Ontario **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Category**: Data Science **Industry**: Finance **Apply**: https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/Toronto-ON/Director--Data-Science_R1003071-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_e549a922-833 ## Description As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in AI and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. In this role, you will: - Partner with a cross-functional team of data scientists, AI & ML engineers, and product managers to deliver enterprise products customers love - Leverage a broad stack of technologies , Python, Conda, AWS, H2O, Spark, and more , to reveal the insights hidden within huge volumes of numeric and textual data - Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation - Flex your interpersonal skills to translate the complexity of your work into tangible business goals The ideal candidate is: - Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. - Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. - Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. - A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. - Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. - Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. - A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. **Basic Qualifications:** - Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date : - A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 9 years of experience performing data analytics - A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 7 years of experience performing data analytics - A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 4 years of experience performing data analytics - At least 4 years of experience leveraging open source programming languages for large scale data analysis - At least 4 years of experience building/deploying AI/ML models in production - At least 4 years of experience designing and analyzing A/B tests **Preferred Qualifications:** - PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics - 3+ years of experience working with AWS - 5+ years of experience in Python, Scala, or R for large scale data analysis - 5+ years of experience with machine learning - 5+ years of experience with Spark **Working at Capital One** - You’ll be empowered to take end-to-end ownership of your work and your career, backed by a high-performance, hybrid culture and holistic suite of benefits designed to support your whole self. - Take ownership of your own potential: Whether you’re looking to upskill, pivot into new business areas, or master your craft, you’ll have access to tools and mentorship to reach your potential and define your career trajectory. - Find your rhythm: We believe trust fosters the flexibility and autonomy required to balance personal needs with a focus on high performance. We support a hybrid model – with 3 days in the office per week – that gives room for both collaboration and personal commitments. - Benefits built for your life: We take a holistic approach to well-being, providing support for you and those who are most important to you. This includes: full coverage for spouses, domestic partners and dependents, a one-time Work From Home allowance to build your comfortable workspace, up to $3,000 in mental health coverage and up to $5,000 in annual tuition subsidies. ## Skills ### Required - Python - Conda - AWS - H2O - Spark - Machine Learning - Data Analysis - A/B Testing ### Nice to have - PhD in STEM field - Experience working with AWS - Scala - R --- Source: [Apply at capitalone.wd12.myworkdayjobs.com](https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/Toronto-ON/Director--Data-Science_R1003071-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)