SR DATA SCIENTIST
7 days ago
Overview
What are we building?
Hard Rock Digital is a team focused on becoming the best online sportsbook, casino, and social casino company in the world. We’re building a team that resonates passion for learning, operating, and building new products and technologies for millions of consumers. We care about each customer's interaction, experience, behavior, and insight and strive to ensure we’re always acting authentically.
Rooted in the kindred spirits of Hard Rock and the Seminole Tribe of Florida, the new Hard Rock Digital taps a brand known the world over as the leader in gaming, entertainment, and hospitality. We’re taking that foundation of success and bringing it to the digital space — ready to join us?
Responsibilities
What’s the position?
We are looking for a Senior Data Scientist to join our quickly growing data science team. As a Senior Data Scientist, you will be a technical leader embedding data driven intelligence into marketing, advertising, customer service, security and product. The role requires an individual that’s technically talented, able to train, operationalize, monitor and optimize a wide variety of models in many contexts and is passionate about leveraging data science to generate value. Because we operate with a startup mindset, we will be reliant on your skills as a data scientist, but also your passion and ownership over all aspects of your work.
Qualifications
What are we looking for?
- Strong experience in building and applying machine learning models for Ad Tech and MarTech.
- Experience in analyzing customer behavior, lifetime value, and building recommendation systems.
- Skilled in Python and its data libraries (like NumPy, Pandas, sklearn), big data (PySpark), and deep learning tools (TensorFlow, PyTorch).
- Experience with cloud platforms like GCP, AWS, and Snowflake for data science projects.
- Bachelor's degree or higher in a quantitative field (like Math or Computer Science) or 5+ years of relevant data science experience.
Exposure to and interest in:
- Cloud platforms: AWS, GCP, DBT, Snowflake and their respective ML services.
- Databases: SQL and/or NoSQL (e.g. DynamoDB, Snowflake).
- Experience deploying and improve real-time ML models (eg. MLFlow, Sagemaker)
Modeling experience for one or more of the following applications:
- Advertising, Marketing and promotions
- Recommendations and personalization
- Customer analytics
- Security and malfeasance
- Familiarity with, model deployment pipelines, monitoring, versioning, A/B testing and reporting
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