Seeking a Data Scientist/Machine Learning Semi Senior to develop data - based solutions in Buenos Aires. Must have strong Python skills and experience in Machine Learning.
About the role
- Senior Data Scientist responsible for developing quantitative solutions to prevent fraud at USAA. Collaborating with teams to enhance fraud detection through advanced analytical techniques.
Responsibilities
- Develop and implement quantitative solutions to improve ability to detect and prevent identity theft, account takeover, and fraud
- Develop and continuously update internal identity theft and authentication models to mitigate fraud losses
- Closely partner with Strategies team, Director of Fraud Identity Analytics and Director of Fraud Model Management on model builds
- Partner with Technology to deploy a Financial Crimes graph database strategy, including vendor selection
- Deploy graph databases and graph techniques to identify criminal networks engaging in fraud
- Generate and prioritize fraud-dense rings to mitigate losses and improve Member experience
- Identify and work with technology to integrate new data sources for models and graphs
- Export insights to decision systems to enable better fraud targeting
- Drive continuous innovation in modeling efforts including advanced techniques like graph neural networks
- Collaborate with the analytics community to share standard methodologies
Requirements
- Bachelor’s degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience may be substituted in lieu of degree.
- 6 years of experience in a predictive analytics or data analysis
- 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models.
- 4 years of experience in one or more dynamic scripted languages (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models.
- Proven experience writing code that is easy to follow, well documented, and commented where vital to explain logic (high code transparency).
- Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc.
- Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc.
- Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics.
- Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts.
- Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc.
- Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc.
- Experience guiding and mentoring junior technical staff in business interactions and model building.
- Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results.
Benefits
- comprehensive medical, dental and vision plans
- 401(k)
- pension
- life insurance
- parental benefits
- adoption assistance
- paid time off program with paid holidays plus 16 paid volunteer hours
- various wellness programs
- career path planning and continuing education assistance
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Scientist/Developer at SEB transforming complex financial data into predictive insights through data modeling and simulations. Strong Python and finance skills required in a hybrid work environment.
Senior Data Scientist leveraging computer vision and machine learning to support Quality Control at Walmart. Collaborating with engineering and business to deliver scalable data solutions.
Senior Data Scientist addressing complex ML and AI challenges at JLL. Collaborating in a hybrid environment with a focus on real estate technology in Tel Aviv.
Applied Data Scientist designing and implementing AI - driven pipelines for Binance's blockchain products. Collaborating on complex systems to enhance market understanding and trading intelligence.
Data Science Team Lead at OREDATA, leading teams to resolve data science challenges in a hybrid environment. Joining a digital transformation firm with a strong collaborative culture.
Data Scientist analyzing claims data, optimizing processes and collaborating across departments at Allianz Spain. Utilizing statistical techniques and developing predictive models for operational efficiency.
Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
Clinical Data Manager supporting research projects and managing patient databases at Mass General Brigham. Interact with patients and maintain data integrity in clinical research.
Technical Lead in Data Science at Voleon, driving the design and implementation of analytical systems. Mentoring a growing team of data scientists while ensuring methodological rigor in finance applications.