Remote Data Scientist

Description:

• Entersekt is a leader in digital banking fraud prevention and payment security, focusing on mobile authentication, mobile app security, and 3-D Secure authentication.
• The company protects digital transactions for over 210 million active users and holds 120 active patents in digital security and payments.
• The data scientist will analyze data to inform software product design and drive business decisions.
• Responsibilities include collaborating with product managers to improve authentication success rates, using statistical analysis and machine learning to enhance fraud detection, and defining the next generation of Entersekt’s risk and fraud engine.
• The role involves championing a data-driven culture and staying updated on data science trends and best practices.
• Half of the time will be spent analyzing data with product managers, while the other half will focus on building Entersekt’s fraud prevention engine under the CTO's guidance.

Requirements:

• Candidates should have 3-5+ years of experience in the data science lifecycle, from data collection to model deployment.
• A strong foundation in statistical analysis, machine learning, and data visualization is required.
• A Bachelor’s degree in computer science, computer engineering, or information systems with relevant coursework is necessary.
• Hands-on experience with data science tools such as Python, R, SQL, and Hadoop is essential.
• Advanced experience in pattern recognition and predictive modeling is expected.
• Candidates must demonstrate the ability to work effectively in a dynamic, fast-paced environment with multiple product portfolios.

Benefits:

• Entersekt offers exposure to cutting-edge technology and a collaborative working environment with industry leaders.
• The company provides flexible working hours and remote work options.
• There are ample growth opportunities within the organization.
• Entersekt is committed to building an inclusive and diverse workforce, reflecting the global communities it serves.