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Data Science Manager

San Francisco

SpringCube

Full-time - Engineering Manager

Social Networking & Media

Posted 1 week ago

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 rapidly growing technology company is transforming the TV advertising industry through the intelligent application of artificial intelligence and machine learning. Its platform combines sophisticated media buying with proprietary analytics to create an automated, digital-like experience for businesses advertising across linear and streaming television.

The organization works with fast-growing brands across multiple industries and has received recognition across the advertising technology sector for its connected TV platform, innovative advertising technology, and workplace culture. Its leadership team includes experienced founders and senior technology executives from major technology and media companies.

The organization is seeking a Data Science Manager to lead its growing AI product data science function. This foundational leadership role will focus on building and managing a team of data scientists responsible for customer-facing features powered by machine learning and large language models.

Responsibilities

  • Manage and grow a team of data scientists focused on AI and machine learning product development.
  • Facilitate the team’s design of algorithms and models to research, innovate, and deliver product features that expand business opportunities.
  • Empower the team to explore new methodologies and continuously improve existing algorithms.
  • Develop strong working relationships across Product, Engineering, and Infrastructure teams to foster alignment, support shared decision-making, and accelerate AI-powered feature delivery.
  • Collaborate with partner teams to define project scope, translate product requirements into technical approaches, and ensure successful delivery.
  • Own Data Science prioritization for AI and machine learning outcomes while allocating resources and managing team workloads.
  • Drive execution of AI and machine learning projects by tracking progress, coordinating timelines, and ensuring timely, high-quality delivery.
  • Assess and mitigate delivery risks while maintaining accountability for downstream business impacts.
  • Promote high-quality experimentation, modeling, and evaluation standards with an emphasis on reliability and product value.
  • Develop lightweight but effective team processes that support rapid iteration and scalable AI delivery.
  • Conduct performance reviews, coach team members, and support career development planning for direct reports.
  • Contribute to hiring and onboarding initiatives for the Data Science team.

Qualifications

  • Master’s degree or equivalent professional experience in a technical field such as Computer Science, Mathematics, Physics, Data Science, or a related discipline.
  • Minimum of 2 years of management experience.
  • Minimum of 6 years of experience in Data Science or a related technology role.
  • Strong strategic thinking and project management capabilities, including priority and dependency management across multiple large-scale projects and stakeholders.
  • Strong organizational and leadership skills, with the ability to make informed tradeoffs through cost-benefit analysis.
  • Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders and drive cross-functional alignment.
  • Proven ability to lead through ambiguity and develop new features or systems from 0 to 1.
  • Advanced knowledge of statistics and probability, particularly their application to model development.
  • Intermediate to advanced experience with data manipulation tools such as SQL and Python.
  • Experience working with cloud computing environments such as AWS.
  • Experience with machine learning workflows, frameworks, and toolkits.

Preferred Qualifications

  • PhD in a technical field.
  • Demonstrated experience leading AI initiatives, particularly projects involving large language models, embeddings, ranking, or recommender systems.
  • Successful track record of implementing AI solutions from concept through production.
  • Experience in the TV media industry or advertising technology is a plus.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals 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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