Unveiling the Role of Principal Associate, Data Scientist in the Retail Banking Sector
In the contemporary digital era, data is the fulcrum of all operations. Capital One, a Fortune 200 company, is a testament to this fact. The company, which started as a startup, revolutionized the credit card industry by personalizing each credit card offer using statistical modeling and relational database, a technology that was at the cutting edge in 1988. Today, Capital One is a global leader in data-driven decision-making, thanks to its innovative use of data and passion for it.
As a Principal Associate, Data Scientist at Capital One, you get to be part of a team that’s spearheading a new wave of disruption on an unprecedented scale. The team utilizes the latest advancements in computing and machine learning technologies to process billions of customer records. The goal is to unlock big opportunities that help everyday people save money, time, and agony in their financial lives.
Team Description and Role Overview
The Bank Operations Data Science team at Capital One is working towards building a futuristic back office. This office will help identify when the bank fails to assist its customers, when customers are satisfied, and furthermore, help the bank identify process failures. The team’s solutions range from basic time series forecasting to advanced optimization, focusing on not only identifying potential issues but also providing interpretable output that front-line agents can use to meet customers’ needs better.
In the role of Principal Associate, Data Scientist, you will be expected to partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love. You will leverage a broad stack of technologies like Python, Conda, AWS, H2O, Spark, and more to reveal the insights hidden within vast volumes of numeric and textual data. Additionally, you will also build machine learning models through all phases of development, from design to training, evaluation, validation, and implementation. Lastly, you will need to flex your interpersonal skills to translate the complexity of your work into tangible business goals.
Who is the Ideal Candidate?
The ideal candidate for the Principal Associate, Data Scientist role is innovative, continually researching, and evaluating emerging technologies. They stay current on state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creativity is another essential trait; the candidate should thrive on defining big, undefined problems, love asking questions, and push hard to find answers.
Furthermore, the candidate should be technically proficient, comfortable with open-source languages and passionate about further development. Experience in building models, validating them, and backtesting them is also crucial. They should not be fazed by “big data” and should have the skills to retrieve, combine, and analyze data from a variety of sources and structures. Understanding the data is often the key to great data science, and the ideal candidate should comprehend this.
Qualifications and Salary
The basic qualifications for this role include a Bachelor’s Degree plus 2 years of experience in data analytics, or Master’s Degree, or PhD, and at least 1 year of experience in open source programming languages for large scale data analysis, machine learning, and relational databases. Preferred qualifications include a Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field, experience working with AWS, and at least 2 years’ experience in Python, Scala, or R, machine learning, and with SQL.
The full-time annual salaries for this role vary by location. For instance, in McLean, VA, the salary ranges from $161,800 – $184,600 and in Richmond, VA, it ranges from $147,100 – $167,900.
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. The company promotes a drug-free workplace and will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.
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