SVP, Data Science

Summary

Join iSpot.tv as their SVP of Data Science, a strategic leadership role driving data science initiatives across linear, streaming, and digital platforms. You will oversee a multidisciplinary team, collaborating across departments to leverage data-driven insights for innovation and growth. This critical role requires developing and implementing a comprehensive data science strategy, leading and mentoring a team, and ensuring high-quality project delivery. The position demands strong leadership, communication, and collaboration skills, along with extensive experience in data science and analytics. iSpot.tv offers a competitive compensation package including salary, equity, and standard benefits, plus a hybrid and flexible workplace policy.

Requirements

• Master’s or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related field
• 15+ years of experience in data science or analytics, with at least 5 years in an executive leadership role
• Demonstrated success in building and leading high-performing data science teams
• Proven track record of applying data science to drive business value and strategic insights
• Strong understanding of machine learning, AI, and statistical modeling techniques
• Excellent communication, leadership, and collaboration skills

Responsibilities

• Develop and implement a comprehensive data science strategy aligned with the company’s vision and goals
• Serve as a key thought leader in the application of AI, machine learning, and advanced analytics to the ad measurement domain
• Collaborate with executive leadership to embed data science into broader corporate strategy and decision-making
• Lead, mentor, and scale a team of data scientists, analysts, and machine learning engineers
• Foster a culture of innovation, collaboration, and professional growth
• Ensure the team's capabilities stay at the forefront of industry advancements
• Oversee the end-to-end delivery of data science projects, ensuring prioritized, timely and high-quality outcomes
• Implement best practices for model development, testing, validation, and deployment
• Establish robust data governance and compliance frameworks
• Partner with cross-functional teams (product, engineering, marketing, etc.) to identify opportunities and drive data-driven initiatives
• Clearly communicate complex data concepts and findings to non-technical stakeholders
• Advocate for data-driven decision-making across the organization
• Lead the development of innovative measurement methodologies that address challenges in cross-platform ad attribution, audience measurement, and outcome-based reporting
• Drive research initiatives that foster innovation and explore new methodologies
• Ensure robust experimentation and validation of methodologies to maintain the highest levels of accuracy and reliability
• Stay abreast of emerging technologies, trends, and best practices in data science and AI
• Spearhead experimentation and implementation of AI-driven solutions for real-time data processing, predictive analytics, and personalization
• Facilitate experimentation and the rapid prototyping of new ideas into the company’s measurement capabilities where applicable

Preferred Qualifications

• Experience in ad-tech, mar-tech, or related domains
• Background in big data technologies and cloud platforms (AWS, Azure, GCP)
• Experience with technologies such as Python, R, SQL, TensorFlow, PyTorch
• Expertise in data governance, ethics, and regulatory compliance frameworks

Benefits

• Salary and equity in one of Seattle’s hottest start-ups
• Other standard benefits
• Hybrid & Flexible Workplace Policy
• Variable commission for employees in eligible roles
• Annual bonus targets for eligible roles
• Stock options
• (pre-approved) overtime pay