Staff Data Scientist

Relha LLC

United States

United States

Ähnliche Jobs finden

Über

Job Summary: We are looking for a seasoned Senior Data Scientist with deep expertise in risk modeling and fraud strategy to join our team. In this role, you will design, build, and operationalize advanced machine learning and AI-driven models that power our risk decisioning and fraud prevention capabilities. You will work closely with fraud strategy, product, and engineering teams to translate complex data signals into actionable risk frameworks — ensuring our systems are not only accurate but adaptive to evolving threat landscapes. Beyond model development, you will play a key role in modernizing our monitoring and alerting infrastructure, leveraging AI to proactively detect anomalies, reduce false positives, and improve the speed and precision of risk interventions. You will mentor junior data scientists and be a strategic thought partner to stakeholders, driving a culture of rigor, experimentation, and continuous improvement.
Job Description: Lead and manage data science projects, ensuring timely delivery and alignment with business goals.
Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making.
Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives.
Collaborate with cross‑functional teams to understand data needs and provide actionable insights.
Ensure data quality and integrity through regular audits and validation processes.
Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.
Minimum Qualifications: 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Additional Responsibilities & Preferred Qualifications: Proven experience building and deploying risk models in production environments Strong understanding of fraud strategy lifecycle — how model scores translate into rules, thresholds, decline/accept decisions, and case management workflows.
Familiarity with model explainability (SHAP, LIME, etc.) and the ability to communicate model behavior to non‑technical fraud strategy and compliance stakeholders.
Experience working with transaction‑level data at scale (e.g., payments, e‑commerce, fintech) is strongly preferred.
Travel Percent: 0
Primary Location | Pay Range: San Jose, California | ($176,500.00 - $262,350.00 Annually) Additional Location(s) | Pay Range: Chicago, Illinois | ($160,500.00 - $238,700.00 Annually) Austin, Texas | ($160,500.00 - $238,700.00 Annually) Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.
For the majority of employees, PayPal’s balanced hybrid work model offers 3 days in the office for effective in‑person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
#J-18808-Ljbffr

United States

Sprachkenntnisse

English

Hinweis für Nutzer

Dieses Stellenangebot wurde von einem unserer Partner veröffentlicht. Sie können das Originalangebot einsehen hier.

Ähnliche Jobs finden