Senior Data Scientist

Capital One Mclean , VA 22107

Posted 3 weeks ago

McLean 2 (19052), United States of America, McLean, Virginia

Senior Data Scientist

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! 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.

Team Description

Spring by Capital One is a discounts marketplace for small businesses. We tap Capital One's large network of corporate suppliers to negotiate outstanding deals for our customers. At Spring, data is at the center of everything we do. As a Data Scientist at Spring, you'll be part of a fast-paced 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 small business save money and time in their financial lives.

In this role, you will:

  • Partner with a cross-functional team of data analysts, data scientists, business analysts, software engineers, marketing experts, and product managers to deliver a product customers love

  • Leverage a broad stack of technologies - Python, SQL, 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

  • Conduct experiments (e.g A/B tests) to optimize Spring's product and marketing strategies

  • Perform marketing segmentation to reach out to the optimal target audience and drive sign-ups and product utilization.

  • Flex your interpersonal skills to translate the complexity of your work into tangible business results

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 are 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 back-tested 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 phase 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:

  • Bachelor's Degree plus 2 years of experience in data analytics, or Master's Degree, or PhD

  • At least 1 year of experience in open source programming languages for large scale data analysis

  • At least 1 year of experience with machine learning

  • At least 1 year of experience with relational databases

Preferred Qualifications:

  • Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics), or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics)

  • Experience working with AWS

  • At least 2 years' experience in Python, Scala, or R

  • At least 2 years' experience with machine learning

  • At least 2 years' experience with SQL

  • Experience analyzing survey data

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

icon no score

See how you match
to the job

Find your dream job anywhere
with the LiveCareer app.
Mobile App Icon
Download the
LiveCareer app and find
your dream job anywhere
App Store Icon Google Play Icon

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Senior Data Scientist


Posted 4 months ago

VIEW JOBS 10/2/2020 12:00:00 AM 2020-12-31T00:00 Who We Seek: * Passion Seekers. You genuinely care about the work that you do and its impact on society. * Self-Starters. You're a go-getter who isn't afraid to step up and disrupt the status quo. * Entrepreneurs. You bring fresh ideas to the table, work hard, develop business and consistently seek new challenges. * Collaborators. You're a great contributor to a high performing team that accomplishes great feats for our clients. What You Will Do: This position supports application development efforts as a Senior Data Scientist. As a Senior Data Scientist, you will be providing all the necessary technical expertise to architect, design, and model data including providing advanced and predictive data analytics from complex and high value projects using big data and data science technology for overarching enterprise. You will also be responsible for providing thought leadership for our clients while providing technical oversight for solution deployment engagements. Job Duties: * Assist with architecture and design data approaches and solutions for a large set of data * Understands and improves how data is modeled against the program Logical Data Model * Understands and improves how data is sourced from different sources and ingested with the data integration solution * Ensures that enterprise architects are addressing all data requirements in their respective projects and solutions * Lead technical engagements to assess client business and technical objectives, determine deliverables, evaluate risk and execute projects effectively. * Design enterprise-class security systems for a production environment * Align standards, frameworks and security with overall business and technology strategy * Identify and communicate current and emerging security threats * Conduct Design Workshops with multiple stakeholders * Identify security design gaps in existing and proposed architectures and recommend changes or enhancements * Work with Service Design management to develop strategic plans for architecture, engineering, integration, and dashboard * Provide reporting and feedback to senior management as required * Work as part of a team throughout the software development life cycle * Collaborate with designers and analysts to provide Engineering and Sustainment services in Development, Security and Operations activities * Share best practices and improve processes within and across sprint teams, and mentor more junior developers Required Skills: * Shall have at least 10 years of experience in enterprise data architecture and management * Shall have at least eight (8) years of experience in Conceptual/Logical/Physical data modeling * Shall have experience in modeling solutions in AWS that us AI/ML algorithms * Shall have at least ten (10) years of proven expertise in Relational and Dimensional Data Modeling * Must have experience of cloud architecture, specifically AWS, as it relates to data processing (i.e., EC2, S3, Redshift, etc.) * Must be able to define & maintain BI/Data Warehouse methodologies, standards, and industry best practices * Shall have experience leading and architecting enterprise wide initiatives, specifically system integration, data warehouse build, data mart build, data lakes, etc. for a large enterprise * Shall have experience briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior levels of management * Shall have, at a minimum, a Bachelor's degree in data science, engineering, statistics Desired Skills: * Experience implementing technical solutions in complex and heterogeneous environments * Strong understanding of the core principles of data science and machine learning * Ability to analyze, summarize and characterize large or small data sets with varying degrees of fidelity or quality; able to identify and explain any insights or patterns within them * Solid experience applying one or more of the following analytical methods * Strong understanding of and experience with advanced statistical theoretical knowledge * Solid experience in exploratory data analysis and visualization * Experience collaborating with Agencies to mature operational processes, reduce redundancies, and develop innovative solutions * Strong experience in ensuring customer satisfaction, problem resolution, and risk management on several medium to large projects * Experience in conducting assessments at an Enterprise by reviewing technical documentations, conducting interviews and workshops to identify gaps and developing a tailored solution is highly desired * Proven ability to work across multiple functional teams in the creation of an application development process Years of Experience: 10+ years Minimum Education Required: Bachelor's Degree Must be able to obtain a Government Clearance Due to federal client requirements, only US Citizens can be considered About Us: Attain is a place for great ideas and the people who have them. As a management, technology, and strategy consulting firm, our professionals provide innovative solutions to revolutionize government, education, health, and nonprofit organizations and positively impact those they serve. We are business analysts, technologists, digital strategists, managers of change, and forward thinkers, with the entrepreneurial drive to shape the future. Our team is present in 40 states and the District of Columbia. Visit to explore your path forward with Attain. Attain is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Applicants have rights under Federal Employment Laws. For more Information visit EEO, EEO Poster Supplement, Family and Medical Leave Act (FMLA), and Employee Polygraph Protection Act (EPPA). Attain Mclean VA

Senior Data Scientist

Capital One