Principal Data Scientist, Ads
RedditSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, BankingIndustries
Requirements
- Currently has, or is in the process of obtaining, one of the following with expectation of degree completion by start date:
- Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 6 years of data analytics experience
- Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) or MBA with quantitative concentration plus 4 years of data analytics experience
- PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 1 year of data analytics 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
- Passion for Generative AI with prior experience in AI from professional or academic background
- Preferred: At least 2 years experience in AI, Information Retrieval, Deep Learning, or NLP
- Preferred: PhD in STEM field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience
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 large volumes of numeric and textual data
- Build machine learning models through all phases: design, training, evaluation, validation, and implementation
- Translate complex work into tangible business goals using interpersonal skills
- Focus on cutting-edge Generative AI techniques: Retrieval Augmented Generation (RAG), Context Engineering, Prompt Engineering, and LLM Fine Tuning
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the employment type for this position?
This is a full-time position.
Is this role remote or does it require office work?
This information is not specified in the job description.
What technical skills are required for this Data Scientist role?
The role requires proficiency in Python, Conda, AWS, H2O, Spark, and experience building machine learning models including clustering, classification, sentiment analysis, time series, and deep learning. Additional expertise in Generative AI techniques such as Retrieval Augmented Generation (RAG), Context Engineering, Prompt Engineering, and LLM Fine Tuning is essential.
What is the company culture like for this team?
The team is innovative, leadership-driven, and passionate about Generative AI, working cross-functionally with data scientists, software engineers, and product managers to deliver customer-loved products while challenging conventional thinking.
What qualifications make an ideal candidate for this role?
Ideal candidates have a Bachelor's degree in a quantitative field like Statistics or Economics, hands-on experience with open-source tools and cloud platforms, statistical modeling expertise, and a passion for Generative AI from professional or academic backgrounds.
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
Benefits
Medical, Dental, & Vision coverage
Onsite Health Centers
Prescription saving with network of local pharmacies
Stock Purchase Plan
Education Assistance
401(k)
Flexible Spending Accounts
Life and Disability insurance
Generous paid time off + corporate & floating holidays
Registered dieticians on site, cooking classes and free virtual fitness classes
Employee Assistance Program
Risks
Increased competition in subscription management tools may dilute Capital One's advantage.
Over-reliance on partnerships could expose Capital One to technological risks.
Departure of key personnel like Joe Rodriguez may affect risk management continuity.
Differentiation
Capital One offers user-friendly banking with no fees or minimums for checking accounts.
The company partners with Khan Academy to provide financial literacy education.
Capital One is the first major U.S. bank to offer subscription management tools.
Upsides
Capital One's mobile app is a model for secure, user-friendly digital banking.
Data sharing with Worldpay enhances payment security and fraud prevention.
Partnerships with fintechs like Minna Technologies improve customer experience.
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