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Director Applied Science Jobs (NOW HIRING)

Wizard

AI Applied Scientist

$225K - $280K/yr

... Applied Science (PhD or equivalent depth strongly preferred) * Hands-on experience evaluating modern AI/ML systems: LLMs, agents, ranking, or recommendations * Direct experience with LLM-based ...

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Director Applied Science information

What does a director of applied science do?

A Director of Applied Science leads teams of scientists and researchers to develop and implement practical solutions using scientific methods and data analysis. They oversee projects that apply advanced research to solve real-world business problems, often working in fields like machine learning, artificial intelligence, or data science. This role involves strategic planning, team management, and collaboration with other departments to ensure scientific initiatives align with organizational goals. Directors of Applied Science are also responsible for mentoring staff, setting research priorities, and communicating findings to stakeholders.

How does a director of applied science typically collaborate with cross-functional teams to drive innovation?

As a Director of Applied Science, you will frequently work alongside product managers, engineers, and data scientists to translate business objectives into actionable research and technical solutions. This collaborative environment requires strong communication skills to align on project goals, share findings, and integrate scientific advancements into product development. Regular meetings, joint planning sessions, and cross-team workshops are common practices, ensuring that scientific insights directly inform product strategy and drive innovation. Building strong working relationships across departments is key to maximizing the impact of applied science within the organization.

What are the key skills and qualifications needed to thrive as a director of applied science, and why are they important?

To thrive as a Director of Applied Science, you need a deep expertise in scientific research, data analysis, and machine learning, typically supported by a PhD or advanced degree in a relevant field. Familiarity with programming languages (such as Python or R), cloud-based analytics platforms, and experience managing complex research projects are essential. Outstanding leadership, communication, and strategic vision help you guide teams and collaborate across departments. These skills ensure the effective development and implementation of innovative scientific solutions that drive business value.

What are the most commonly searched types of Applied Science jobs?

The most popular types of Applied Science jobs are:

What are popular job titles related to Director Applied Science jobs?

For Director Applied Science jobs, the most frequently searched job titles are:

Director of Applied AI/ML Science - Ads

San Francisco, CA

Faire
See more jobs at Faireexternal

$276K - $379K/yr

Full-time

Re-posted 26 days ago

Key responsibilities

  • Define the holistic data vision and strategy for Ads, including ML models, auction systems, and data engineering pipelines.

  • Manage and grow the team of Applied Scientists and Analytics Engineers, including hiring, mentoring, and setting career development paths.

  • Partner with cross-functional leaders to design and operate the team's planning, prioritization, and execution processes.

Job description

About this Role

Ads is one of the fastest-growing and most strategically important parts of Faire's business, and the Ads Data team - now three years old - is entering a period of hypergrowth. As Director of Data for Ads, you will own the end-to-end data vision and strategy for the Ads business - from the applied science and ML powering our marketplace to the data foundation underneath it.

You'll lead and grow a team spanning Applied Scientists and Analytics/Data Engineers, set the technical vision and roadmap for the group, and partner closely with cross-functional leaders in Product, Engineering, Design, and Strategy & Analytics (S&A) to define how the Ads org operates - its planning cadence, prioritization framework, and execution rigor. This is a rare opportunity to shape, from an early stage, the technical and organizational backbone of one of Faire's most important growth engines.

What You'll Do

  • Define the holistic data vision and strategy for Ads, spanning retrieval/ranking ML (search ads relevance, query understanding, personalization), bidding/marketplace/auction systems (auction design, bid optimization, pacing, budget allocation, advertiser ROI), and data engineering/ETL (pipelines, data foundations, and analytics that power decision-making across the org).
  • People-manage and grow the full group of Applied Scientists and Analytics Engineers on the Ads Data team - hiring, mentoring, setting career development paths, and building a strong technical culture as the team scales through hypergrowth.
  • Own the team's long-term technical roadmap, ensuring it's tightly aligned to company and Ads org strategy, and translate that roadmap into clear priorities, staffing plans, and execution.
  • Partner with cross-functional leaders to design and run the team's operating model - planning cadence, prioritization frameworks, roadmap reviews, and cross-team rituals - so Ads Data operates as a high-leverage, well-run function as it grows.
  • Drive significant business impact through hands-on contribution to high-priority ML/algorithmic problems when needed, while building the team's ability to deliver this work independently and at scale.
  • Serve as a key member of the broader Data leadership team, contributing to how the data org is built and run - both technically (architecture, tooling, standards) and organizationally (processes, career frameworks, hiring bar).
  • Represent Ads Data in company-level strategic conversations, ensuring data and ML considerations are embedded early in product and business planning.

Qualifications

  • 8+ years of experience in data science, applied ML, or ML engineering roles, ideally with exposure to ads, search, recommendation systems, marketplaces, or auctions.
  • 4+ years of experience managing technical teams of 5+ people, including senior ICs.
  • Direct experience with ads marketplaces, auction systems, or search/recommendation systems.
  • Demonstrated ability to set technical vision and strategy for a team or org, and to translate that strategy into roadmaps, priorities, and measurable outcomes.
  • Comfort operating across a broad technical surface area - from ML modeling (bidding, auction, ranking, relevance) to data engineering and analytics infrastructure - with enough depth to earn credibility with ICs across all of these areas.
  • Strong track record partnering with cross-functional partners to define team operating models and drive cross-functional execution.
  • Excellent communication skills, with the ability to flex between technical depth and business-level narrative depending on the audience.
  • Comfort with ambiguity and rapid change - this team is young and growing fast, and the role requires building process and structure while the ground is still shifting.

Great to Haves

  • Academic background in Computer Science, Machine Learning, Statistics, Math, Operations Research, or a related field; PhD a plus.
  • Prior experience building or scaling a data/applied science org from an early stage.

Salary Range

San Francisco: the pay range for this role is $276,000 to $379,500 per year. 

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

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