Senior Manager for ML Capabilities - Data Scientis...

Company:
Location: Vienna, VA 22180

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Towers Crescent (12066), United States of America, Vienna, Virginia

Senior Manager for ML Capabilities - 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

The ML Capabilities team builds models and libraries that other data science teams use as features or ingredients in their modeling. We partner with the Strikers team, a flexible team of data scientists providing expertise where there are no data scientists or providing surge capacity for existing data science teams. We also partner with AI Training Team, which provides high-fidelity human-labeled data for training, testing, and monitoring models.

Role Description

In this role, you will:

  • Lead part of the ML Capabilities team to deliver models and services used by data scientists in their modeling work.

  • Balance people leadership with technical individual contributions, leading from within GitHub.

  • Build causal inference, machine learning, and statistical models through all phases of development, from design through training, evaluation, validation, and implementation.

  • 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.

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

The Ideal Candidate is:

  • 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 causal inference, clustering, classification, sentiment analysis, time series, and deep learning.

  • 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.

  • Influential. You communicate technical ideas clearly to technical or non-technical audiences in ways that build trust in the methods you use. You bring leadership along in the journey of adopting the latest technologies.

  • 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.

Basic Qualifications:

  • Bachelor’s Degree plus 7 years of experience in data analytics, or Master’s Degree plus 5 years of experience in data analytics, or PhD plus 2 years of experience in data analytics

  • At least 3 years’ experience in open source programming languages for large scale data analysis

  • At least 3 years’ experience with machine learning

  • At least 3 years’ experience with relational databases

Preferred Qualifications:

  • PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics

  • At least 1 year of experience working with AWS

  • At least 1 year of experience managing people

  • At least 5 years’ experience in Python, Scala, or R for large scale data analysis

  • At least 5 years’ experience with machine learning

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

*** Mention DataYoshi when applying ***

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