1151 IT & Software Developer jobs in the US
Manager, Data Scientist - Model Risk
$179,400 - 225,100
Capital One
West Cary Street 2933, Richmond
$179,400 - 225,100
Requirements
Must:
- A Bachelors degree in a quantitative discipline such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Computer Science, along with 6 years of experience in data analytics.
- A Masters degree in a quantitative field or an MBA with a quantitative focus, paired with 4 years of experience in data analytics.
- A PhD in a quantitative domain alongside 1 year of experience in data analytics.
- At least 1 year of experience using open-source programming languages for large-scale data analysis.
- At least 1 year of hands-on experience in machine learning.
- At least 1 year of expertise with relational or vector databases.
Responsibilities
- Collaborate with a diverse team of data scientists, software engineers, and product managers to identify and measure risks tied to models.
- Utilize a wide array of technologies, including foundational frameworks (PyTorch, Hugging Face), orchestration tools (LangChain, Vector Databases), and observability platforms to extract insights from extensive multi-modal data.
- Develop machine learning models that challenge existing champion models currently in production, contributing to the governance framework for future models.
- Validate various models across multiple business domains within our Enterprise Services division, effectively communicating identified model risks and their impacts on business outcomes to executives.
Description
At Capital One, we are dedicated to innovation in the data-driven domain, having evolved from a startup to a Fortune 200 company that leads in personalized financial solutions. Our Model Risk Office team is committed to protecting the organization from model failures while advancing decision-making processes through strategic modeling, especially addressing unique risks linked to Generative AI. We prioritize long-term success by investing in new skills, advanced tools, and robust partnerships, aiming for continuous improvement derived from past experiences. This role offers competitive salaries based on location, performance incentives, and a comprehensive benefits package to support your overall well-being.
Something wrong or incorrect with this job? Tell us in the chat 💬 on the right ➡️
You can find Data Engineer salaries in the United States here.
How many Data Engineer jobs are in the United States?
Currently, there are 1151 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.
Is the US a good place for Data Engineers?
The US is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Data Engineer jobs in the United States?
GE Aerospace, Combat Computers Inc., Coniah Consulting Inc., Prenuvo, Gatekeeper Systems Inc, Transport-Bourassa, D3 Security Management Systems among others, are currently hiring for Data roles in the United States.
The company with most openings is Kforce Technology Staffing as they are hiring for 73 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is Kforce Technology Staffing as they are hiring for 73 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.