Director, Data Science – Consumer and Developer Experience

🔥 18 minutes ago

🏄 California, Illinois, +2 more states – Remote

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💵 $244.7k - $335.1k / year

⏰ Full Time

🔴 Lead

🤝 Developer Relations (DevRel)

🦅 H1B Visa Sponsor

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Logo of Capital One

Capital One

10,000+ employees

🏦 Banking

💳 Fintech

💸 Finance

💰 Post-IPO Equity on 2023-05

Banking • Fintech • Finance

Capital One is a leading financial services company that specializes in offering credit cards, auto loans, banking, and savings accounts. With a focus on innovation and technology, Capital One aims to change banking for good by providing customer-friendly solutions and fostering a diverse and inclusive workforce. The company is known for its commitment to creating a positive impact in the banking industry through advanced digital tools and customer service excellence.

📋 Description

• Support strategic priorities for Consumer and Developer Experience as part of the product strategy team • Partner with software engineers, business analysts, and product managers to deliver customer-focused products and business impact • Tackle strategic and analytical questions and deliver insights that influence business decisions • Develop prototypes and partner with product and engineering teams to translate concepts into scaled digital experiences • Leverage Python, Conda, AWS, H2O, Spark, and other technologies to analyze large volumes of numeric and textual data • Build machine learning models through design, training, evaluation, validation, and implementation • Translate complex data science work into tangible business goals • Research and evaluate emerging technologies and apply state-of-the-art methods • Challenge conventional thinking and identify improvements with stakeholders • Develop talent within the team and beyond

🎯 Requirements

• Currently has, or is in the process of obtaining, a required degree by the scheduled start date • Bachelor's degree in a quantitative field plus 9 years of experience performing data analytics; or Master's degree in a quantitative field or MBA with a quantitative concentration plus 7 years; or PhD in a quantitative field plus 4 years • 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 • Hands-on experience developing data science solutions using open-source tools and cloud computing platforms • Experience with clustering, classification, sentiment analysis, time series, and deep learning • Experience building, validating, and backtesting models; interpreting confusion matrices and ROC curves • Preferred: PhD in STEM plus 5 years of experience in data analytics • Preferred: at least 1 year of experience with AWS • Preferred: at least 3 years of experience managing people • Preferred: at least 5 years of experience in Python, Scala, or R for large-scale data analysis • Preferred: at least 5 years of experience with machine learning • Capital One will consider sponsoring a new qualified applicant for employment authorization

🏖️ Benefits

• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI) • Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being • Employment authorization sponsorship may be considered for a new qualified applicant

Apply Now

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