Principal Data Scientist

Are you interested in architecting the future application of data science to live games, content platforms and interactive entertainment? Join us at Series AI, where we are pioneering new frontiers in the gaming industry by leveraging sophisticated data solutions and cutting-edge technology!

We are seeking an innovative Principal Data Scientist, AI/ML to lead our data science initiatives and architect & build advanced data systems. This role is perfect for a scrappy, visionary candidate who thrives on using ML/AI tools in novel and impactful ways – educating others in how to leverage such tools along the way.

Key Responsibilities:

• Develop and implement the strategic vision for data science and ML/AI solutions across our products.
• Architect scalable data systems to support advanced ML/AI functionalities in gaming and interactive platforms.
• Implement best practices and workflows to develop innovative machine learning models and algorithms that enhance user experiences.
• Collaborate with product, engineering, and design teams to integrate ML/AI solutions seamlessly into our products.
• Stay up-to-date with the latest trends and advancements in ML/AI and data science, applying them to keep our offerings cutting-edge.
• Communicate complex data concepts and strategies to stakeholders and non-technical audiences.

Qualifications:

• Master’s or PhD in Data Science, Computer Science, Statistics, ML/AI, or a related field AND/OR 5-7+ years of experience in data science and machine learning, with at least 3 years in a senior role.
• Proven track record of architecting and deploying scalable data systems and ML/AI-driven solutions.
• Strong experience with ML/AI frameworks such as scikit-learn, TensorFlow, PyTorch, MLFLow, and other machine learning tools.
• Solid understanding of data engineering concepts - ETL practices, data pipelines, and distributed data processing - and streaming solutions (Kafka, Flink).
• Familiarity with the full MLOps lifecycle - version control, model deployment, evaluation, performance monitoring, CI/CD.
• Proficiency in programming languages like Python, R, or Java.
• Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment.
• Exceptional communication and collaboration abilities.

Preferred Qualifications:

• Ability to rapidly prototype, evaluate, and iterate to tackle ambiguous or novel challenges.
• Experience with 0-to-1 development of personalized recommendation systems, user behavior modeling, real-time feedback loops, and reinforcement learning a plus.
• Experience with early-stage or rapidly growing companies or gaming companies is a plus.
• Leadership skills with a track record of mentoring and growing high-performance teams.
• Experience with cloud services for AI and data processing (AWS, Google Cloud, Azure, Databricks).