Vice President, Marketing Data Science and Analytics

Razor Group • Boston, MA

266d

About The Position

Razor Group is seeking a highly driven and analytical leader to join our team as the owner and Vice President of the Decision Engine, managing the optimization and automation of pricing, advertising, demand planning, and inventory management. This is a unique opportunity to have a massive impact at a rapidly growing company by directly influencing the profitability and growth of our portfolio of brands. You will build and lead a talented team in developing and implementing the core algorithmic logic that powers our automated decision-making engine, optimizing pricing and advertising strategies for thousands of consumer products. This role offers a high degree of ownership, autonomy, and the chance to shape the future of e-commerce. Our Decision Engine is the technological backbone of Razor's success. It's a sophisticated system that leverages advanced algorithms and machine learning to automate and optimize key business levers, including pricing, advertising, and inventory management. By analyzing vast amounts of data, the Decision Engine identifies opportunities to maximize profitability and drive growth across our portfolio of brands.

Requirements

• Hold a Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, Operations Research, or a related quantitative field from a top-tier university.
• Demonstrate 10+ years of relevant experience in data science, algorithmic development, or quantitative modeling, with a proven track record of building and deploying successful automated quantitative algorithms with multi-year roadmaps.
• Hold 6+ years of experience managing and mentoring high-performing teams of diverse skillsets and experience.
• Bring experience in e-commerce, consumer products, or retail industries is required.
• High proficiency in Python and SQL, with experience developing and deploying production-level pipelines at scale.
• Strong understanding of statistical modeling, machine learning algorithms, and optimization techniques.
• Leverage experience with cloud computing platforms (e.g., AWS, GCP, Azure) and big data technologies.
• Hold experience working with large datasets and building scalable data pipelines.
• Implement experience with A/B testing and experimentation methodologies.

Nice To Haves

• Exceptional analytical and problem-solving skills.
• Strong leadership abilities with a demonstrated ability to inspire and motivate a team.
• Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
• Self-motivation, proactivity, and results-orientation with a strong sense of ownership and accountability.
• Thrive in a fast-paced, dynamic, and entrepreneurial environment.
• Passion for leveraging data and technology to drive business impact.
• Strong business acumen and strategic thinking abilities.

Responsibilities

• Own the vision, strategy, and roadmap for data science and automation at Razor.
• Collaborate with executive leadership to define key performance indicators (KPIs) and align algorithmic strategies with overall business objectives.
• Drive the strategic financial direction of the business through the implementation of innovative economic models and systems.
• Stay ahead of industry trends and emerging technologies in e-commerce, pricing optimization, and advertising to identify opportunities for continuous improvement.
• Lead the team in the presentation of findings, insights, and recommendations to executive leadership and investors.
• Lead the design, development, testing, and implementation of advanced algorithms for dynamic pricing, advertising bid optimization, and supply-side levers.
• Oversee the development and maintenance of data pipelines that feed the Decision Engine with timely market data, competitor insights, and internal performance metrics.
• Lead the data science team in the development of predictive models that forecast demand, price elasticity, and the impact of advertising campaigns.
• Work closely with engineering and product leaders to advance the capability of the Decision Engine platform.
• Proactively identify opportunities for improvement in algorithmic performance and implement solutions to maximize profitability and efficiency.
• Recruit, manage, mentor, and develop a team of experienced data scientists and analysts, fostering a culture of innovation, collaboration, and continuous learning.
• Hire and onboard new team members, ensuring that the team has the necessary skills and expertise to achieve its objectives.
• Provide guidance and support to team members on technical challenges, career development, and performance management.
• Effectively delegate responsibilities and empower team members to take ownership of their functions.
• Work closely with internal stakeholders across various departments, including brand management, marketing, supply chain, and finance, to ensure alignment and effective implementation of algorithmic strategies.
• Build strong relationships with external partners, including advertising platforms (e.g., Amazon, Google, Facebook) and data providers, to leverage their capabilities and insights.
• Communicate effectively with both technical and non-technical audiences, translating complex technical concepts into clear and actionable insights.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Education Level: Bachelor's degree