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Data Science Manager, Marketing

SpringCube

Full time - Engineering Manager

Sports

United States, Boston - Massachusetts

Published 2 weeks ago

Salary: Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A leading technology-driven entertainment and sports company is integrating AI across its business to enhance customer experiences, streamline operations, and unlock new possibilities. The organization fosters a culture of innovation, embracing emerging technology to shape the future of its products and services. Teams work collaboratively to leverage AI for smarter decisions, personalized experiences, and measurable business impact.

Summary
The Data Science Manager, Marketing, will lead a team of data scientists and machine learning engineers to drive strategy and execution for personalized customer experiences. This role involves guiding projects from concept to production, delivering scalable machine learning systems, and setting technical and strategic direction across the organization.

Responsibilities

  • Manage, coach, and grow a team of data scientists and engineers focused on delivering high-impact personalization initiatives
  • Lead the team through the Model Development Lifecycle (SDLC), ensuring technical rigor and engineering best practices
  • Partner with Product, Engineering, Marketing, and Revenue teams to scope projects, prioritize work, and deliver data-driven solutions
  • Foster a collaborative, experimental, and continuous improvement culture within the team
  • Conduct regular performance evaluations, provide constructive feedback, and support professional growth and development
  • Set strategic priorities and align team roadmaps with larger business objectives
  • Promote software engineering and MLOps best practices, including automation, containerization, monitoring, and testing
  • Stay current on trends in machine learning, personalization, and marketing to continuously evolve capabilities

Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Machine Learning, or a related field; advanced degree preferred
  • Minimum 5 years of experience in data science or machine learning engineering, including at least 2 years in a leadership role
  • Proficiency in Python and SQL, with experience on modern data platforms and cloud environments
  • Strong understanding of the Software Development Lifecycle and experience leading teams through delivery cycles
  • Hands-on experience with machine learning systems, statistical modeling, and experimentation frameworks
  • Knowledge of DevOps and MLOps practices, including containerization, automation, and production monitoring
  • Exceptional communication and collaboration skills with the ability to influence cross-functional teams and executives
  • Experience in the gaming or entertainment industry is a strong plus

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

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SpringCube is a technology recruitment firm and tech-focused career platform. Since 2001, we’ve connected top talent with leading companies across Singapore and Southeast Asia.

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