Data Scientist

R&D / Engineering Raanana, Israel Job Number: 19253

Position at NICE Actimize

NICE Actimize is a subsidiary of NICE (NASDAQ: NICE), the worldwide leading provider of software solutions, that enable organizations to take the next best action in order to improve customer experience and business results, ensure compliance, fight financial crime, and safeguard people and assets. At Actimize we focus on fight financial crime and eliminate fraud in the world financial system.

Job Purpose and responsibilities:

• Tackle the most challenging puzzles in the Financial Fraud Detection domain leveraging advanced Analytics and Machine
and Deep Learning algorithms, including Federated and continuous transfer learning frameworks.
• Conduct large-scale data analysis and develop predictive models for the largest Financial institutions in the world.
• Develop, define and share Modeling and Data Science practices.
• Communicate with Professional Services and with Clients regarding Machine Learning development plans, model performance and recommendations.
• Provide guidance for the design and development of proprietary Machine Learning tools, platforms and products.
*This role is a replacement for maternity leave for 6-9 months.

Necessary Qualifications:
• M.Sc. in Computer Science, Statistics, Mathematics, Physics, Engineering or equivalent.
• Minimum of 3 years experience with statistical model development. Deep and diverse experience with multiple statistical procedures and data mining algorithms, including Classification, Regression and Clustering.
• Experience in modeling with Python.
• Vast experience using SQL.
• Strong analytical skills and agility with using quantitative tools to solve analytical problems.
• Good oral and written communications skills, and ability to interact with software developers, project managers, business analysts, product managers and with clients.
• Ability to work in multi-disciplinary agile teams.
• Innovative aptitude.

Additional Desired Qualifications:
• Knowledge in the Financial industry and\or Fraud Detection.
• Experience in Unsupervised and Anomaly Detection methods.
• Experience with Big Data technologies such as Spark and Cloud technologies such as AWS.

NICE is committed to provide an environment based on equal opportunity for all qualified applicants and employees. It is the policy of NICE to afford equal employment opportunities to qualified individuals, regardless of age, race, color, creed, religion, citizenship, ancestry, national origin, sex, gender, pregnancy, mental or physical disability, marital status, veteran status, service in the Armed Forces, sexual or affectional orientation, atypical hereditary cellular or blood traits, genetic information, status as a victim of domestic or sexual violence, and/or any other status protected by any applicable federal, state and/or local statute or regulation.