Senior Associate, Data Science - NLP

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

At Capital One, data is at the center of everything we do. When we launched 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.

Department Summary:

The Card ML team is working to transform every corner of our business with machine learning. To accomplish this goal, we use the latest techniques in machine learning - deep learning, reinforcement learning, genetic algorithms, and natural language processing - and marry them with real-time streaming data in the cloud, to create best-in-class enterprise-scale ML products. We tackle a huge variety of business problems and work with vast quantities of data of every kind.

Role Summary:

As an ML Scientist at Capital One, you’ll be joining an applied research group that’s driving the next wave of disruption at a whole new scale. Using the latest technology and state-of-the-art machine learning, you’ll unlock opportunities that help everyday people save money, time and difficulty in their financial lives. We do machine learning research and product development differently at Capital One. ML scientists aren’t siloed in the lab, but instead partner closely with software engineers, product managers, and business stakeholders, to innovate and build ML applications at scale. Speech and language scientists in this group work on an array of challenging problems, including speech recognition in noisy environments, automated insights from unstructured text, and the next generation of virtual assistants. In this role, you will apply expertise in ML engineering and reproducible science to support design, execution and delivery of these business critical outcomes. We also encourage active participation in the wider research community.

The Ideal Candidate will be:

-Technical. You are independent and can develop your own algorithms and experiments. You have hands-on experience developing ML solutions, from concept to production, and selecting the right tool for the job at hand. You have significant experience with cloud computing and IAAS. You are fluent in Python and comfortable with C/C++ or Java/Scala.

-Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art ML methods, technologies, and applications. You ask why, explore and openly share your disruptive ideas.

-Business-Minded. You can analyze customer needs and drive towards impactful business outcomes.

-Leader. You challenge conventional thinking and traditional ways of operating, and you work with stakeholders to identify and improve the status quo.

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 

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