Socure is on a mission to verify 100% of good identities in real time and eliminate identity fraud from the internet by building next-generation fraud and risk products that leverage cutting-edge machine learning algorithms and large-scale data processing.
Requirements
- Proficiency in Python (preferred) or R, with hands-on experience in machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost.
- Demonstrated ability to analyze, clean, and model large-scale datasets using SQL and modern data tools (e.g., AWS, Databricks, Hadoop/Spark).
- Working knowledge of supervised and unsupervised learning, feature engineering, and model evaluation approaches.
Responsibilities
- Design, develop, and implement machine learning models and statistical algorithms to support the development of fraud detection and identity verification solutions, leveraging large-scale and diverse data sources.
- Analyze large datasets and uncover actionable insights, fraud patterns, and new opportunities for product and service enhancements across Socure’s platform.
- Develop and code data processing pipelines, automated workflows, and tools to cleanse, integrate, and evaluate data from multiple sources.
- Provide analytical support to the fraud and risk data science team; present findings and communicate data-driven insights with clear storytelling tailored to technical and non-technical audiences.
- Continuously test and apply the latest machine learning algorithms, libraries, and techniques to improve model performance and adaptability.
- Build, maintain, and monitor robust, scalable models deployed into production environments; participate actively in code reviews and peer discussions.
- Contribute to a collaborative, high-performance team environment; seek out and communicate trends, patterns, or anomalies that inform Socure’s broader product strategies.
Other
- Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field, or equivalent professional experience.
- Collaborate with product, engineering, and cross-functional teams to translate business requirements into data-driven solutions that align with company goals.
- Experience translating business challenges into data science solutions and clearly communicating outcomes.
- Socure is an equal opportunity employer that values diversity in all its forms within our company.
- If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.
