Data Scientist - Financial Crimes

Location: San Jose, United States. Fully in-person schedule up to 5 days a week.

Salary: $114,000–$240,000 annually base salary, plus potential bonuses, incentives, and restricted stock units.

Company

hirify.global operates safety, security, data privacy, and cybersecurity programs to protect U.S. user data, applications, and the content ecosystem.

What you will do

• Develop, implement, and optimize machine learning models for money laundering, fraud, and other financial crime detection.
• Analyze large transactional and user datasets to identify suspicious patterns and behaviors.
• Support transaction monitoring, sanctions, KYC, and high-risk investigation teams through data analysis.
• Design dashboards and reporting tools to communicate financial crime detection insights.
• Design, validate, and implement AML scenarios and tune thresholds to improve detection performance.
• Integrate machine learning solutions with product, engineering, and operations systems while documenting related projects and methodologies.

Requirements

• Master’s degree in statistics, mathematics, finance, computer science engineering, or a similar quantitative field, or equivalent practical experience.
• At least 3 years of experience in data analysis, statistical modeling, and machine learning, preferably focused on financial crime compliance or related domains.
• Proficiency in Python, HQL, Neo4j, and Spark, with experience using machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
• Experience creating interactive dashboards and reports with tools such as Tableau, Power BI, or matplotlib.
• Strong analytical and critical-thinking skills, including the ability to work with large datasets and communicate evidence-based conclusions.

Nice to have

• Ph.D. in a relevant quantitative field.
• Familiarity with Hadoop, Spark, and distributed computing platforms.
• Experience in anti-money laundering and financial crime compliance.
• Ability to explain technical concepts clearly to non-technical stakeholders.

Culture & Benefits

• On-site collaboration focused on speed, alignment, team development, and integrated execution.
• Medical, dental, and vision insurance from day one.
• 401(k) savings plan with company match, paid parental leave, disability coverage, and life insurance.
• Wellbeing benefits, 10 paid holidays, 10 paid sick days, and 17 days of paid personal time with increasing accruals by tenure.
• Inclusive workplace with opportunities to work alongside global and diverse teams.