Senior Data Scientist

Key Skills

Algorithms, Analytical Techniques, Apache Hadoop, Bayesian networks, Data Visualization, Deep Learning, Effective communication skills, English Proficiency, Java Programming, Machine learning techniques, MapReduce, MySQL, Natural Language Processing (NLP), Python Programming, R Programming, Social Network Analysis, SPARK Programming, Speech recognition, Speech Technology

Job Description

Nice Actimize is seeking data scientists, mathematicians/statisticians, and data engineers to develop, analyze and program cutting-edge algorithms that will be at the core of our fraud prevention and Anti-money Laundering applications. Our behavioral analytics / machine-learning platform is the leader in providing Fraud Detection and Anti-money Laundering solutions. You will extend, develop, program and implement new algorithms and underlying mathematical theory, and use your analytics skills to help design and implement core components of our algorithms and models. You can have a daily, direct impact on the continued evolution of our innovative products.

The position is based in Mountain View, California and reports to the Data Scientist Team Lead.

Skills and Experience Required:

• PhD/MS in Statistics, Computer Science, Applied Mathematics, Physics, Electrical Engineering or other quantitative fields with focus on machine learning, mathematical algorithms, probability, and statistical modeling
• 5+ years of experience in algorithm development and statistical analysis of massive datasets, or equivalent coursework
• Hands-on experience working with real-world problems using statistical analysis, data visualization, and machine learning tools in Python or R
• 1-2 years of experience writing SQL queries and working with databases (MySQL preferred).
• Ability to work and communicate well with product managers and engineers to translate requirements into design that can be implemented into codes for fraud detection, Anti-Money Laundering (AML) and data visualization.
• Desire to balance theory with pragmatic problem-solving skills to develop and apply advanced algorithms to real world problems and data
• Passionate about being at the forefront of Fraud detection, AML and cyber-crime in general.
• Resourceful, flexible, and adaptable team player

Additional Preferred Qualifications:

• Experience in developing User Behavior Models
• Understanding of Bayesian Statistics
• Experience in Natural Language Processing (NLP)
• Experience with Java/Hadoop/MapReduce/Spark
• Familiarity with AWS, Azure and/or Google Cloud AI/ML Platforms
• Knowledge of Social Network Analysis