Data Scientist - Fraud Detection

Responsibilities

• Develop a model that utilizes online retail-specific order and return trends to identify bad actors and prevent future occurrences of fraud.
• Incorporate business feedback into data science models to adjust to changing business requirements and fraudulent activity patterns.
• Investigate and analyze extensive datasets from diverse sources to identify patterns and anomalies indicative of fraudulent activities.
• Collaborate with cross-functional teams, including IT and security, to integrate fraud detection models into real-time systems and contribute to the development of new tools for fraud prevention within the online retail environment.
• Create and maintain dashboards and apps using Python, SQL, Looker, and Streamlit that provide actionable insights into fraud trends specific to online retail, enabling quick response and mitigation strategies.
• Stay updated on the latest advancements in fraud detection technologies within the online retail industry, contributing to the implementation of new data tools and system integrations.
• Work independently and proactively to address emerging fraud threats in the online retail space, adjusting models and strategies accordingly.
• Present findings and insights related to fraud detection in the online retail industry to executive leadership clearly and action ably.

• Proven experience in building and deploying machine learning models specifically for fraud detection in the online retail sector, focusing on anomaly detection and pattern recognition.
• Expertise in designing and implementing fraud prevention strategies using machine learning techniques, including recommender systems, NLP, and embeddings tailored to online retail data.
• Experience with cloud platforms, especially in handling and analyzing large datasets for fraud detection purposes in an online retail context.
• Master's degree in computer science, Statistics, Data Science, or a related field.
• 1-3 years of experience in data science and machine learning engineering.
• Strong coding skills in Python and proficiency with machine learning libraries and frameworks.
• Proficient in creating and maintaining dashboards and apps using tools such as Looker and Streamlit, demonstrating a high level of expertise in visualizing and interpreting data for effective decision-making.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication and collaboration skills, with the ability to communicate effectively with stakeholders.

Petco Animal Supplies, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or any other protected classification.

Pay range: $87,100.00 - $ per year. Exact rate of pay will be based on position, location, and experience level. For a more detailed overview of Petco Total Rewards, including health and financial benefits, 401K, incentives, and PTO - see