Series Entertainment Logo

Series Entertainment

Principal Data Scientist/MLE

Sorry, this job was removed at 04:12 p.m. (MST) on Friday, Jun 27, 2025
Remote
3 Locations
170K-205K Annually
Remote
3 Locations
170K-205K Annually

Similar Jobs

4 Hours Ago
Easy Apply
Remote
Ontario, ON, CAN
Easy Apply
Senior level
Senior level
eCommerce • Information Technology • On-Demand • Professional Services • Software
The Head of New Ventures will lead the ideation, incubation, and delivery of new initiatives at Thumbtack, partnering with internal and external teams to unlock growth opportunities.
4 Hours Ago
Remote
Canada
230K-311K Annually
Mid level
230K-311K Annually
Mid level
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
The Manager, Account Management leads sales teams, drives growth strategies, and ensures consistent execution of sales methodologies and revenue goals.
Top Skills: GongOutreachSales NavigatorSalesforce
4 Hours Ago
In-Office or Remote
Toronto, ON, CAN
78K-160K Annually
Junior
78K-160K Annually
Junior
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
The Bilingual SMB Account Manager will nurture relationships with merchants, drive sales, and support customer growth using Square's products and services.
Top Skills: CRMSalesforce

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).

At Series AI, we cherish diversity and strive to create an inclusive environment for all employees. We are an equal opportunity employer and welcome individuals from all backgrounds. If you are motivated by the challenge of pioneering data-driven innovations in the gaming landscape and enhancing operational intelligence, we eagerly await your application.

Embark on your next professional adventure and apply today to be a part of our trailblazing team!

Series Entertainment embraces diversity and is committed to creating an inclusive environment for all employees. We are an equal opportunity employer, welcoming individuals from various backgrounds, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. If you are driven by the challenge of enhancing development operations and want to impact the future of gaming technology, we want to hear from you!

Take the next step in your career and apply to be part of our cutting-edge team today!

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account