Data Scientist

Summary

Join Entersekt, a leader in digital banking fraud prevention, and become a Data Scientist. Collaborate with product managers to analyze data and improve authentication success rates. Use statistical analysis and machine learning to detect fraud patterns and define the next generation of Entersekt’s risk and fraud engine. Champion a data-driven culture by communicating the value of data science to stakeholders. Stay updated on the latest data science trends and technologies. Half your time will focus on partnering with product managers, and the other half on building Entersekt’s fraud prevention engine. Entersekt offers a cutting-edge technology environment, with colleagues who are leaders in their fields, and an awesome working environment that includes flexible hours, remote work, and plenty of growth opportunities.

Requirements

• 3 - 5+ years’ experience in all aspects of the data science lifecycle from data collection to model deployment
• Strong foundation in statistical analysis, machine learning, and data visualization
• Bachelor’s degree in computer science, computer engineering or information systems with coursework in one of the data science related disciplines
• Hands-on experience with a variety of data science tools and techniques such as Python, R, SQL and Hadoop
• Advanced experience in pattern recognition and predictive modeling
• Proven ability to work effectively in a dynamic, fast-paced environment that has several product portfolios

Responsibilities

• Collaborate with product managers to analyze data and identify ways to improve authentication success rates
• Use statistical analysis and machine learning techniques to detect patterns in data that can be used to improve fraud detection
• Work with a cross-functional team to define the next generation of Entersekt’s risk and fraud engine, using data science techniques to improve the accuracy and efficiency of the engine
• Be at the forefront of championing a data-driven culture at Entersekt by communicating the value of data science to stakeholders and encouraging the use of data-driven decision-making
• Stay up to date on the latest data science trends, technologies, and best practices, to ensure that the company is using the most effective data science techniques
• Half of your time will be focused on partnering with key product managers to analyze data, extrapolate insights and recommend improvements of Entersekt and our technology partner’s products
• The other half of the role is focused on working under the guidance of the CTO to build out Entersekt’s fraud prevention engine and create an IP moat for the business

Preferred Qualifications

• Healthy self-esteem, you will be challenged by some bright minds on a regular basis
• Excellent communication and presentation skills, you will need to translate your analysis findings to internal stakeholders
• Deeply analytical and ability to see patterns
• An attitude of being proud of the final deliverable and taking ownership
• Ability to plan and keep to the deadline or raise flags early if that is at risk

Benefits

• Flexible hours
• Remote work
• Plenty of growth opportunities