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Urgent! Director, Data Science Job Opening In McLean – Now Hiring Capital One
Overview
Director, Data ScienceData 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! Fast-forward 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 data-driven decision-making.
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 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.
In this role, you will:
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product 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 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 full-time 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 part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Candidates 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 candidate’s 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).Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
Learn more at the.
Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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Unlock Your Director Data Potential: Insight & Career Growth Guide
Real-time Director Data Jobs Trends in McLean, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Director Data in McLean, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 122197 jobs in United States and 590 jobs in McLean. This comprehensive analysis highlights market share and opportunities for professionals in Director Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Capital One is currently hiring and seeking a Director, Data Science to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Director, Data Science Jobs McLean.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Capital One adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Director, Data Science Jobs United States varies, but the pay scale is rated "Standard" in McLean. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Director, Data Science typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Director, Data Science, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Director, Data Science interview at Capital One, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Capital One's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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