Director, Data Science, AI/ML

Crate and Barrel•Northbrook, IL

27d•Remote

About The Position

We inspire purpose-filled living that brings beauty and quality to the modern home. Together, we achieve. Associates across our business drive results, innovate, and inspire. Drawn together by our shared values and passion for our customers and our brands, we deliver home furnishings that are expertly designed, responsibly sourced, and bring timeless style and function to people's homes. From the day we opened our first store in Chicago in 1962 to the digital innovations that engage millions of customers today, our iconic brand is over 60 years in the making-and our story is still unfolding. We're here for it. We think you should be too. We're looking for a driven professional with an inclusive mindset to join our team as a Director, Data Science, AI/ML We are looking for a visionary and results-oriented Director of Data Science, AI/ML, with 12-15+ years of extensive experience, including senior leadership roles. This individual will lead the AI & ML Ops Team, shaping our long-term AI/ML vision, driving innovation, and building a world-class team. You'll collaborate with senior leaders to align our analytics capabilities with key business objectives and deliver transformative insights that drive growth and success. This position is fully remote This role is a People leader position

Requirements

Exceptional leadership, strategic thinking, and organizational development skills.
Proven ability to lead and scale large, distributed advanced analytics organizations.
Deep understanding of advanced analytical techniques and methodologies, including machine learning, statistical modeling, and data visualization.
Strong business acumen with the ability to translate complex business needs into analytical strategies and actionable insights.
Excellent communication, presentation, and influencing skills, with the ability to articulate complex analytical concepts and engage effectively at all levels, including executive leadership.
Demonstrated experience in managing budgets, resource planning, and optimizing team capacity.
Expertise in driving innovation and managing large-scale, complex analytical projects from conception to iterative delivery in an agile environment.
Ability to foster a strong, positive, and productive data-driven culture that champions knowledge sharing and continuous learning.
Strong analytical and problem-solving skills, with a data-driven approach to decision-making.
Experience in talent management, including recruiting, developing, and retaining senior analytics leaders.
Strong understanding of financial implications in decision-making, ensuring responsible use of company resources.
Master's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Machine Learning, Operations Research, or a related field. (or equivalent extensive practical experience).
9+ years of progressive experience in in data science, machine learning, optimization models, or related field, with at least 4 years in leadership roles managing teams and complex projects.
Proven success in leading, and motivating high-performing analytics teams.

Nice To Haves

PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, or related field.is preferred.

Responsibilities

Oversees multiple Data Science, AI/ML projects, typically a sub-domain, providing technical direction, leadership, and guidance to ensure alignment with organizational goals and priorities.
Oversees analysis and assessments to identify problems within company processes, ensuring the development of high-quality, actionable insights and models that inform strategic decision-making and drive business improvements.
Drive excellence, innovation, and operational efficiency across the department as well as champion agile practices.
Provides insights and recommendations to decision-makers, including executive leadership, to influence business strategy, drive change, and achieve key business outcomes, and to communicate the value of advanced analytics and AI to the organization
Establishes and champions best practices, quality standards, and robust knowledge-sharing frameworks across multiple teams, building centers of excellence and promoting a culture of data-driven decision-making, continuous learning, and shared understanding throughout the organization.
Facilitates cross-functional collaboration with other teams and departments, including engineering, product, marketing, and sales, to align analytical efforts with business objectives and drive cross-functional initiatives, and to ensure seamless integration of analytical solutions into business processes.
Leads delivery and execution of large-scale projects, removing roadblocks, mitigating risks, and ensuring timely completion of complex analytical programs, while adhering to budget constraints and project timelines.
Influences the development of the long-term data science, AI/ML strategy, identifying emerging trends, evaluating new technologies, and shaping the organization's data strategy to maintain a competitive edge and drive innovation in the field.
Drives data science, AI/ML model development excellence within their teams through mentorship, training, and process improvement, fostering a culture of continuous learning, innovation, and collaboration, and promoting the adoption of new analytical techniques and tools.
Manages team performance, including setting goals, conducting performance reviews, and providing feedback across multiple teams, and developing future data scientists and ML Operations leaders within the organization, and building a strong and sustainable talent pipeline.