Manager, Data Science – Consumer and Developer Experience

🔥 1 minute ago

🏄 California, Illinois, +2 more states – Remote

🏄 California – Remote 🌽 Illinois – Remote 🗽 New York – Remote ⚔️ Virginia – Remote

💵 $179.4k - $245.6k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤝 Developer Relations (DevRel)

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Capital One

WebsiteLinkedInAll Job Openings

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 leaders as part of the product strategy team • Partner with software engineers, business analysts, and product managers to deliver customer-focused products and business results • Use Python, Conda, AWS, H2O, Spark, and other technologies to uncover insights from large numeric and textual datasets • 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 • Develop prototypes and partner with product and engineering teams to scale digital experiences • Analyze strategic and analytical questions across digital engagement, marketing platforms, personalization, supplier and vendor products, and risk management products

🎯 Requirements

• Bachelor's Degree in a quantitative field plus 6 years of experience performing data analytics, or Master's Degree in a quantitative field or MBA with a quantitative concentration plus 4 years of experience, or PhD in a quantitative field plus 1 year of experience • At least 1 year of experience leveraging open source programming languages for large scale data analysis • At least 1 year of experience working with machine learning • At least 1 year of experience utilizing relational databases • Hands-on experience developing data science solutions using open-source tools and cloud computing platforms • Experience with model building, validation, and backtesting • Experience with clustering, classification, sentiment analysis, time series, and deep learning • Experience retrieving, combining, and analyzing data from varied sources and structures • Preferred: PhD in STEM plus 3 years of experience in data analytics • Preferred: At least 1 year of experience working with AWS • Preferred: At least 4 years’ experience in Python, Scala, or R for large scale data analysis • Preferred: At least 4 years’ experience with machine learning • Preferred: At least 4 years’ experience with SQL • Capital One will consider sponsoring a new qualified applicant for employment authorization

🏖️ Benefits

• Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI) • Comprehensive, competitive, and inclusive health, financial and other benefits supporting total well-being • Employment authorization sponsorship consideration for a new qualified applicant • Reasonable accommodations for applicants who require them