Data Scientist

**Why Entersekt**

Founded over 11 years ago, with more recent investments from Accel-KKR, Entersekt is a leader in mobile authentication, mobile app security, and payments enablement technology, offering highly scalable products with a track record of success across multiple continents.

Entersekt enables secure digital transactions for leading financial institutions globally. We exist to create a world where everyone can transact digitally without fear or compromise. Currently, we protect the digital transactions of over 67 million active users on our platform and hold over 60 registered patents that recognize innovation in digital security, payments, and user experience. Entersekt offers their customers secure authentication and digital payments experiences that removes unnecessary friction. Entersekt has invested in, and created, a diverse product portfolio that positions the company well to execute on its expansion in North America and European markets.

**The Role**

Objectives for this role:

- 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.

**Skills and Experience**
- 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 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.

**Personality Attributes**
- A 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.

We place a lot of value on how we treat prospective employees and appreciate the time and effort that goes into job hunting. That is why we aim to keep the hiring process as quick and seamless as possible while ensuring the best possible fit for both you and the company.

Working at Entersekt is truly a dream. You get exposed to cutting-edge technology, colleagues who are leaders in their fields, and an awesome working environment that includes flexible hours, remote work, and plenty of growth opportunities.