CO
Data Scientist at Capital One on the LLM Customization Team utilizing the latest in computing and machine learning technologies. Collaborating with data scientists and engineers to deliver AI powered products.
About the role
- Analyze large-scale structured and unstructured data from multiple sources
- Build products using AI, ML, and advanced statistical techniques from basic financial analysis to complex machine learning models
- Propose new methods to detect anomalies, optimize conversions, and provide business insights through data
- Design, analyze, and interpret the results of experiments
- Find hidden patterns and relationships in data using statistical analysis and data mining techniques to answer business concerns
- Collaborate with product, engineering, and risk teams to translate business challenges into data science problems
- Apply ML-Ops best practices; improve models and infrastructure to optimize model performance
- Communicate complex data outputs to business-oriented and non-technical audiences
Requirements
- Bachelor's degree in computer science, information technology, industrial engineering, mathematics or statistics
- 5+ years experience in data science or machine learning engineering
- Strong analytical thinking and hands-on experience with scientific computing languages and frameworks such as Python (e.g., scikit-learn, TensorFlow, PyTorch, Flask, h2o.ai)
- Eager to research and apply new models and take initiative
- SQL knowledge is a must
- Multi-disciplinary and cooperative ability to solve problems across finance, marketing, sales, product development and user experience
- Knowledge of developing workflows to deploy machine learning models (ML-Ops)
- Experience working within financial regulations is a plus
- Scientific approach for experimentation and rapid prototyping
- Ability to present ideas, insights, and solutions clearly
- Interest in cutting-edge AI products and experience with Llama, GPT, Gemini
Benefits
- A culture of continuous development: conferences, in-house events & Tech Talks
- Online Training Platform (Free access to Udemy, Harvard ManageMentor, Get abstract, etc.)
- Flexible working model (iyzico Homequarters) with homequarters in Altunizade
- Meal & Internet Allowance
- Transportation Allowance
- Gift voucher for tech needs and ergonomic home workspace
- Macbook (and monitor if needed)
- Employee support program: free psychological counseling, legal advice, financial advice
- Private health insurance
- 1 day birthday leave
- Assigned iyzicoMate for onboarding support
- Detailed orientation program
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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