739 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, science and engineering, or a related quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related fields in addition to the minimum years of experience required may be substituted for a degree.
- 6 years of experience in predictive analytics or data analysis.
- 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytical models.
- 4 years of experience in dynamic scripted languages (such as Python, R, etc.) for performing statistical analyses and/or developing AI/ML models.
- Demonstrated ability to write clear, well-documented code.
- Solid experience querying and preprocessing data from structured or unstructured databases using SQL, HQL, NoSQL, etc.
- Proven ability to work with structured, semi-structured, and unstructured data formats, including delimited numeric data, JSON/XML files, and text documents.
- Experience conducting ad-hoc analytics using descriptive, diagnostic, and inferential statistics.
- Ability to understand and communicate regulatory implications of various modeling efforts.
- Advanced knowledge of supervised modeling techniques like linear/logistic regression, discriminant analysis, and decision trees.
- Experience with unsupervised modeling approaches such as k-means clustering and DBSCAN.
- Background in mentoring junior team members in technical and business contexts.
- Capacity to convey analytical findings to non-technical stakeholders with a focus on actionable insights.
Responsibilities
- I will gather, interpret, and manipulate both structured and unstructured data to support advanced analytical solutions for the business.
- I will develop scalable, automated solutions using machine learning, simulation, and optimization to generate business insights.
- I will choose the suitable modeling techniques and technologies, considering data constraints, application, and business objectives.
- I will design and implement models within the Model Development Control (MDC) and Model Risk Management (MRM) frameworks.
- I will prepare and assist in preparing technical documents for knowledge preservation and risk management.
- I will evaluate business needs and propose analytical projects to enhance business value.
- I will collaborate with business and analytics leaders to prioritize modeling and analytics initiatives.
- I will maintain a robust library of reusable algorithms and code to ensure transparency and quality in model development.
- I will translate complex business inquiries into specific analytical questions, complete the necessary analyses, and communicate findings to non-technical colleagues with a focus on actionable recommendations.
- I will manage project risks, breakthroughs, and obstacles, escalating potential issues that could impact project success.
- I will develop best practices for engaging with Data Engineering and IT to deploy analytical assets consistent with modeling standards.
- I will ensure that risks associated with business activities are properly identified and controlled in line with compliance policies.
- I will stay updated on emerging techniques and methodologies, seeking continuous professional development opportunities.
- I will mentor junior data scientists in analytics, modeling, and computer science tasks.
- I will actively participate in internal communities that drive the evolution of data science technologies and culture.
Description
At USAA, we are committed to empowering our members to achieve financial security through competitive products, exceptional service, and trusted advice. We aim to be the top choice for the military community and their families. When you join us, you will be part of a fulfilling career aligned with our core values of honesty, integrity, loyalty, and service. We provide a flexible work environment, requiring 4 days in the office each week, with positions available in locations such as San Antonio, TX; Plano, TX; Phoenix, AZ; Colorado Springs, CO; Charlotte, NC; or Tampa, FL. Note that we do not offer relocation assistance for this position. As a Senior Data Scientist in Fraud Identity Analytics, you will focus on the development and execution of quantitative solutions aimed at enhancing USAA's ability to combat identity theft and fraudulent activities. You will partner closely with teams to deploy advanced analytics solutions, including machine learning models and graph analytics, to safeguard our organization and members. We offer competitive compensation, with a salary range of $138,230 - $248,810, depending on experience and market data. Our employees also benefit from comprehensive medical, dental, and vision plans, a 401(k), pension, life insurance, and generous paid time off policies, among other outstanding benefits. We encourage interested candidates to apply promptly, as this position will remain open until filled. USAA is proud to be an Equal Opportunity Employer, ensuring that all qualified applicants receive fair consideration.
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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.