Data Science Engineer

Our Data Science team is comprised of algorithm experts and data science technologists who leverage the power of data to deliver transformative experiences for our users and drive continued innovation. As a Data Science Engineer, you will be a creative thinker and utilize data, machine learning, and software development skills to craft high-impact solutions that transform our business.

What you’ll do as a Data Science Engineer (Risk)

• Help design algorithms and systems, leveraging machine learning and quantitative techniques to produce products that effectively identify and mitigate risk within Fraud, Anti Money Laundering, and Responsible Gaming domains.

• Build offline and online data products utilizing tools such as SQL  and Python to feed into machine learning systems.

• Learn about engineering design, development, deployment, and operations of scalable technical products.

• Collaborate with business stakeholders across the company to plan and execute valuable data science projects.

• Get integrated with the team and contribute to crucial R&D initiatives right away.

What you’ll bring

• Experience in Data Science, Machine Learning, and Statistical Modeling with successful product implementations in production.

• Strong comfort level with object-orientated programming in Python and experience with data modeling, data manipulation, and visualization tools.

• Strong background with expert-level experience leveraging SQL to gather and process data.

• Experience with version control (e.g., git)

• Ability to effectively communicate technical concepts to internal and external teams

• Curiosity to learn new domains, technologies, and quantitative techniques

• Experience with the Databricks and Kubernetes platforms