Pincipal Data Scientist

Position Overview

• Location Type: Remote
• Employment Type: Full-Time
• Salary: (Salary not provided in the text)
• Job Type: Principal Data Scientist, AI/ML

Series AI is seeking a visionary Principal Data Scientist, AI/ML to lead data science initiatives and architect/build advanced data systems. This role is ideal for a candidate who thrives on using ML/AI tools in novel and impactful ways, while also educating others on their application.

Requirements

• Education: 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.
• Experience: Proven track record of architecting and deploying scalable data systems and ML/AI-driven solutions.
• Technical Skills:
  • 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.

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.

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.
• Experience with early-stage or rapidly growing companies or gaming companies.
• 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).

Company Information

• Company: Series AI
• Culture: Series AI cherishes diversity and strives to create an inclusive environment for all employees.
• Equal Opportunity Employer: We are an equal opportunity employer and welcome individuals from all backgrounds.