600 IT & Software Developer jobs in the US
Data Scientist - Fraud Analytics - Colorado Springs
$93,770 - 168,790
USAA
Research Parkway 2025, Colorado Springs + Remote
$93,770 - 168,790
Requirements
Must:
- Bachelors degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, engineering, or a related quantitative field; OR 4 years of relevant experience may substitute for a degree.
- At least 2 years of experience in predictive analytics or data analysis, OR an advanced degree in a quantitative subject.
- Proficient in training and validating statistical and machine learning models.
- Experience with at least one programming language for statistical analysis and AI/ML models (e.g., Python, R).
- Capable of writing clear, well-commented code.
- Familiar with querying and preprocessing data from various databases (SQL, HQL, NoSQL).
- Experience handling structured, semi-structured, and unstructured data types.
- Knowledge of descriptive, diagnostic, and inferential statistics.
- Familiarity with classical supervised modeling techniques (e.g., regression, decision trees).
- Understanding of unsupervised modeling concepts (e.g., k-means clustering).
- Strong communication skills to present analytical insights to non-technical stakeholders.
Responsibilities
- Capture, interpret, and manipulate both structured and unstructured data to provide analytical solutions.
- Choose suitable modeling techniques based on data limitations and business requirements.
- Develop and implement models following the Model Development Control and Model Risk Management frameworks.
- Create technical documents for knowledge retention and risk assessment.
- Consult with peers for mentorship and guidance as required.
- Translate business inquiries into specific analytical questions, complete analyses, and present findings to non-technical colleagues.
- Collaborate with Data Engineering, IT, and other departments to deploy analytics aligned with business goals and best practices.
- Pursue opportunities for learning new techniques and technologies.
- Ensure that risks related to business activities are accurately identified and managed according to policies.
Description
At USAA, we empower our members to achieve financial security with competitive products, exceptional service, and trusted advice. We strive to be the top choice for the military community and their families. Joining us means being part of a company that values honesty, integrity, loyalty, and service. As a Data Scientist II for Fraud, youll be integral in developing machine learning models to enhance our fraud detection capabilities. We offer a flexible work environment requiring four days in the office each week, with potential locations including San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. While relocation assistance is not provided, remote work is possible within the continental U.S. with some travel. Our employees benefit from outstanding wellness programs, comprehensive benefits, and opportunities for career development.
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You can find Data Engineer salaries in the United States here.
How many Data Engineer jobs are in the United States?
Currently, there are 600 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?
bunny.net, Murmuration, D3 Security Management Systems, Perri's Corporation, Diploma Healthcare Group, Ironclad TEK Inc., Clarity.ca Inc. among others, are currently hiring for Data roles in the United States.
The company with most openings is USAA as they are hiring for 81 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is USAA as they are hiring for 81 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.