Data Scientist, Watchlist

About the Opportunity:

The organization provides advanced identity verification and fraud prevention solutions using predictive analytics and machine learning. This team is seeking a Data Scientist to build fraud and risk products, analyze complex data, and develop models that advance digital trust and reduce identity fraud.

Responsibilities:

• Design, develop, and implement machine learning models and statistical algorithms for fraud detection and identity verification.

• Analyze large datasets to uncover actionable insights, fraud patterns, and opportunities for product enhancements.

• Collaborate with product, engineering, and cross-functional teams to translate business requirements into data-driven solutions.

• Develop 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 and communicate insights to various audiences.

• Apply the latest machine learning algorithms and techniques to improve model performance.

• Build, maintain, and monitor robust, scalable models in production environments; participate in code reviews and peer discussions.

• Contribute to a collaborative team environment and communicate trends or patterns that inform broader product strategies.

Requirements:

• Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field, or equivalent professional experience.

• Proficiency in Python (preferred) or R, with experience in machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost.

• Experience analyzing, cleaning, and modeling 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.

• Proven ability to translate business challenges into data science solutions and communicate outcomes.

Benefits & Perks:

• The organization is an equal opportunity employer that values diversity and provides accommodation during the application or hiring process.

Note:

RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.