Senior Data Scientist

Transmit Security gives businesses the modern tools they need to build secure, trusted and end-to-end digital identity journeys to innovate and grow. CX-focused, cybersecurity conscious leaders rely on Transmit Security’s xCIAM platform to provide their customers with smooth experiences protected from fraud across all channels and devices.

Transmit Security serves many of the world’s largest banks, insurers, retailers, and other leading brands, collectively responsible for more than $1.3 trillion in annual commerce. For more information, please visit www.transmitsecurity.com.

About the Role:

Transmit Security is a top player in its game and is heading for an exciting year. In this role, you will take an integral part in the creation of a new and innovative SaaS product.

If you are a talented Data Scientist that likes to solve complex problems and looking for your next challenge we want you to join our team!

What you’ll do:

• Research, develop, and deploy a diverse array of machine learning models that operate in real-time and at large scale, with a primary focus on preventing and analyzing fraud attacks.
• Perform data mining, exploration, and analysis.
• Create data visualizations, reports, dashboards, and data audits.
• Leverage predictive models to optimize customer experiences that will affect millions of users worldwide.
• Creating automated anomaly detection.

What you’ll need:

• Bachelor's degree in computer science, or a related field from a familiar university
• At least 5 years of experience as a Data-scientist
• Experienced with identity management/risk assessment/fraud detection.
• Familiarity with cloud-based infrastructure.
• Independent, persistent, and a "getting things done" person.
• Excellent interpersonal skills.

Advantages:

• Master’s degree in Computer Science or a related field.
• Experience with big data analytics technologies such as Spark and Hadoop.
• Experience in data mining and machine learning.
• Ability to store and process unstructured data with NoSQL databases.

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