Data Scientist: Empowering Customer Management through Machine Learning

20 hours ago


Dinan, Bretagne, United States Capital One Full time

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 cutting-edge technology in 1988.

Fast-forward a few years, and this little innovation and our passion for data have skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

We are looking for a skilled Data Scientist to join our Mainstreet Customer Management Data Science team, which builds industry-leading machine learning models to empower various customer management decisions for our existing customers.

The successful candidate will partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product that customers love.

Leveraging a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - they will reveal the insights hidden within huge volumes of numeric and textual data.

The ideal candidate is creative, innovative, technical, and statistically-minded, with hands-on experience developing data science solutions using open-source tools and cloud computing platforms.

Required skills include at least 1 year of experience in open source programming languages for large-scale data analysis, machine learning, relational databases, and AWS.

Preferred qualifications include a Master's Degree in a STEM field, plus 3 years of experience in data analytics, or a PhD in a STEM field.

This role offers a comprehensive compensation package, including a competitive salary range of $153,900 - $175,700 per annum for Illinois (Hybrid On-site), based on level of experience.

Average annual salary estimate is $164,650. In addition to base pay, candidates may also be eligible to earn performance-based incentive compensation, which could include cash bonuses and/or long-term incentives.

Capital One promotes a diverse and inclusive work environment and is an equal opportunity employer.



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