738 IT & Software Developer jobs in the US
Lead Data Scientist - Fraud Detection Analytics - PLANO
$138,230 - 248,810
USAA
Legacy Drive 5601, PLANO
$138,230 - 248,810
Requirements
Must:
- A bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, engineering, or a related quantitative field; alternatively, 4 years of relevant experience in statistics, mathematics, quantitative analytics, or similar fields may substitute for a degree.
- At least 6 years of experience in predictive analytics or data analysis.
- A minimum of 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models.
- Proficiency in one or more dynamic scripting languages (such as Python, R, etc.) for statistical analyses and building/scoring AI/ML models for at least 4 years.
- Proven ability to write code that is clear, well-documented, and logically structured, ensuring high code transparency.
- Strong experience querying and preprocessing data from structured and unstructured databases using query languages such as SQL, HQL, or NoSQL.
- An advanced understanding of classical supervised modeling techniques such as linear/logistic regression, and decision trees, as well as unsupervised techniques like clustering algorithms.
- Relevant experience guiding and mentoring junior technical staff on business interactions and model development.
- Competence in communicating analytical and modeling outcomes to non-technical business partners, focusing on actionable recommendations.
Responsibilities
- As a Senior Data Scientist - Fraud Identity Analytics, I am responsible for creating and implementing quantitative solutions to enhance our capability in detecting and preventing identity theft, account takeovers, and synthetic fraud.
- I will develop and continuously refine internal identity theft and authentication models to reduce fraud losses and enhance user experience.
- Collaborating closely with the Strategies team and Directors of Fraud Identity Analytics and Model Management, I will prioritize model builds and incorporate technology to implement a Financial Crimes graph database strategy.
- My tasks include deploying graph databases and techniques to identify criminal networks involved in fraudulent activities and delivering significant benefits.
- I will conduct ad-hoc analyses using both descriptive and inferential statistics while drafting technical documents for knowledge persistence and risk management purposes.
- I will manage project risks, ensuring the timely achievement of breakthroughs, and maintain awareness of innovative methods and opportunities for professional development.
- Mentoring junior data scientists and actively participating in internal communities to advance data science technologies will also be key aspects of my role.
Description
At USAA, our mission is to empower our members to achieve financial stability through competitive products, outstanding service, and reliable advice. We aspire to be the premier choice for the military community and their families. By joining our team, you will embrace a career defined by our core values of honesty, integrity, loyalty, and service. This position offers a flexible work setting that requires presence in the office for 4 days each week, and is available in locations such as San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Please note that relocation assistance is not offered for this role. Compensation for this position ranges from $138,230 to $248,810, based on market data and individual experience. We also provide an extensive benefits package that promotes physical, financial, and emotional well-being, including comprehensive health plans, a 401(k), a pension plan, various insurance options, and opportunities for career development. We invite all qualified applicants to apply and be part of our inclusive team at USAA.
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The company with most openings is Leidos as they are hiring for 88 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.