Director, Data Scientist - Apollo/Card Data
Director, Data Scientist - Apollo/Card Data
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$ 263900 - 301200
1 Vacancy
Job Description
Data is at the center of everything we do. As a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database cutting edge technology in 1988! Fastforward a few years and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of datadriven decisionmaking.
As a Data Scientist at Capital One youll be part of a team thats leading the next wave of disruption at a whole new scale using the latest in computing 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.
Team Description
Apollo (part of Card DMDC) is Capital Ones one stop shop for authoritative 360 degree information on US businesses. We are on a mission to build a market leading business critical Business Data Product and Platform that gives our customers a competitive advantage through information. Our customers rely on Apollos data and capabilities to market sell verify underwrite serve and protect business customers often in realtime intelligent ways.
Business data is a complex multibillion dollar problem that is poorly served by legacy providers. We are tackling this critical opportunity by acquiring and processing massive amounts of data leveraging cuttingedge ML/AI to resolve identity and predict valuable features and architecting interfaces that allow our users to seamlessly integrate Apollo into their workflows Data Science is at the heart of Apollo and this role will have an opportunity to shape the next generation of capabilities.
Role Description
In this role you will:
Lead a team of data scientists and collaborate with machine learning engineers data engineers business analysts and product managers to deliver product(s) customers love.
Lead machine learning and data science technical direction and execution (operations governance processes and practice) working closely with product management to craft a roadmap and success criterion.
Lean on your deep technical background in graphbased machine learning deep learning software engineering and algorithm development to organize grow and manage the ML/AI capabilities for the product.
Flex your interpersonal skills to translate the complexity of your work into tangible business goals
The Ideal Candidate is:
Technical Innovator. You have a strong background in ML/AI and engineering practices with experience in Entity Resolution Information Retrieval Graphbased ML LLM/Embeddings or Deep Learning. You have handson experience developing effective data science solutions while pushing the envelope with stateoftheart techniques.
Customerback. Product mindset. You are deeply curious about customer needs and bring a product mindset to drive business results integrating ML/AI design engineering and execution. You identify highleverage efforts and the necessary tradeoffs to shape a roadmap that balances transformative innovation with timetovalue and pragmatism.
Empathetic People Leader. You establish a culture of inclusiveness cooperation and candor. Youre passionate about talent development provide frequent actionable feedback to team members and promote innovation
Strategic Thinker and Communicator. You love asking questions and pushing hard for answers. You challenge conventional thinking and work with stakeholders to identify and improve the status quo by bringing clarity to big undefined set the team vision and inspire your team and peers to execute towards it.
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 Bachelors 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 Masters 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 working with machine learning
At least 4 years of experience utilizing relational databases
Preferred Qualifications:
PhD in STEM field (Science Technology Engineering or Mathematics) plus 5 years of experience in data analytics
At least 1 year of experience working with AWS
At least 3 year of experience managing people
At least 5 years of experience in Python Scala or R for large scale data analysis
At least 5 years of experience with machine learning
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum fulltime annual salaries for this role are listed below by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for parttime roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean VA: $263900 $301200 for Dir Data ScienceCandidates hired to work in other locations will be subject to the pay range associated with that location and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidates offer letter.
This role is also eligible to earn performance based incentive compensation which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive competitive and inclusive set of health financial and other benefits that support your total wellbeing. Learn more at theCapital One Careers website. Eligibility varies based on full or parttime status exempt or nonexempt status and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy childbirth or related medical conditions) race color age national origin religion disability genetic information marital status sexual orientation gender identity gender reassignment citizenship immigration status protected veteran status or any other basis prohibited under applicable federal state or local law. Capital One promotes a drugfree workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries including to the extent applicable Article 23A of the New York Correction Law; San Francisco California Police Code Article 49 Sections; New York Citys Fair Chance Act; Philadelphias Fair Criminal Records Screening Act; and other applicable federal state and local laws and regulations regarding criminal background inquiries.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 ator via email at . 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 Ones recruiting process please send an email to
Capital One does not provide endorse nor guarantee and is not liable for thirdparty 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).
Required Experience:
Director
Employment Type
Full-Time
