Senior Data Scientist - Fraud
MercurySalary not specified
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial ServicesIndustries
Requirements
- Customer first mindset, passionate about making right decisions for customers
- Innovative, continually researches and evaluates emerging technologies, stays current on state-of-the-art methods
- Creative, thrives on defining big undefined problems, asks questions, shares new ideas
- Leadership skills, challenges conventional thinking, works with stakeholders to improve status quo, passionate about talent development
- Technical proficiency with open-source languages, hands-on experience developing data science solutions using open-source tools and cloud computing platforms
- Statistically-minded, experience building, validating, and backtesting models; familiar with confusion matrix, ROC curve, clustering, classification, sentiment analysis, time series, and deep learning
- Data expertise, skilled in retrieving, combining, and analyzing big data from various sources and structures
- Basic Qualifications: Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 6 years data analytics experience; OR Master's Degree or MBA with quantitative concentration plus 4 years; OR PhD in a quantitative field
Responsibilities
- Partner with cross-functional team of data scientists, software engineers, and product managers to deliver customer-loved products
- Leverage technologies (Python, Conda, AWS, H2O, Spark, etc.) to reveal insights from huge volumes of numeric and textual data
- Build machine learning models through all phases: design, training, evaluation, validation, and implementation
- Translate complexity of work into tangible business goals using interpersonal skills
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What technologies will I be working with in this role?
You will leverage a broad stack of technologies including Python, Conda, AWS, H2O, Spark, and more to analyze huge volumes of numeric and textual data.
What skills make an ideal candidate for this position?
The ideal candidate is customer-first, innovative, creative, a leader who challenges conventional thinking, technically proficient with open-source tools and cloud platforms, and statistically-minded with experience building, validating, and backtesting models.
Is this a remote position or does it require office work?
This information is not specified in the job description.
What is the salary or compensation for this role?
This information is not specified in the job description.
What is the team culture like for this data science role?
The Fraud Data Science team deeply cares about doing things the right way, automating, and innovating to improve customer experience and prevent fraud, while partnering cross-functionally with data scientists, software engineers, and product managers.
Capital One
Offers diverse financial products and services
About Capital One
Capital One provides a variety of financial services aimed at making banking accessible and easy for everyone. The company offers products such as credit cards, savings accounts, car loans, and business checking accounts, catering to both individual consumers and small businesses primarily in the United States. Capital One's approach includes user-friendly banking solutions with no fees or minimums for checking accounts, allowing customers to manage their finances more effectively. They generate revenue through interest on loans, credit card fees, and investment banking services. What sets Capital One apart from its competitors is its strong commitment to financial inclusion and literacy, demonstrated through community partnerships and educational initiatives, such as collaborations with Khan Academy. The company's goal is to create a more inclusive financial system and empower customers with the knowledge and tools they need to make informed financial decisions.
McLean, VirginiaHeadquarters
2014Year Founded
$15.9MTotal Funding
IPOCompany Stage
Fintech, Financial ServicesIndustries
10,001+Employees
