Associate Director, Decision Engine Algorithms

As Europe's fastest-growing unicorn, we revolutionize eCommerce globally. Through strategic acquisitions, scaling initiatives, and cutting-edge technology, we're the top player in the industry. Following our recent acquisition of Perch - the leading US aggregator - and a successful Series D funding round led by Presight Captial, we’re aimed toward a $1 billion top-line business!

Your Role

Razor is seeking a highly driven and analytical leader to join our team as the Associate Director of the Decision Engine, focusing on Pricing and Advertising Algorithms. 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 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.

The Decision Engine

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.

Your responsibilities will include:

• Strategic Leadership:
• Own the vision, strategy, and roadmap for the pricing and advertising optimization algorithms within the Decision Engine.
• 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 pricing and advertising models.
• Stay ahead of industry trends and emerging technologies in e-commerce, pricing optimization, and advertising to identify opportunities for continuous improvement.o Present findings, insights, and recommendations to senior leadership and key stakeholders.
• Algorithmic Development and Implementation:
• Lead the design, development, testing, and implementation of advanced algorithms for dynamic pricing, advertising bid optimization, and other demand-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.
• Build and refine predictive models that forecast demand, price elasticity, and the impact of advertising campaigns.
• Work closely with engineering and product teams to integrate algorithms and models into the Decision Engine platform.
• Proactively identify opportunities for improvement in algorithmic performance and implement solutions to maximize profitability and efficiency.
• Team Management and Development:
• 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 projects.
• Cross-Functional Collaboration:
• 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.

Your Profile

To succeed in this role you:

• Have Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, Operations Research, or a related quantitative field from a top-tier university.
• Have 6+ years of relevant experience in data science, algorithmic development, or quantitative modelling, with a proven track record of building and deploying successful automated quantitative algorithms.
• Have 2+ years of experience in managing and mentoring high-performing teams of data scientists or analysts.
• Have experience in e-commerce, consumer products, or quantitative trading industries is highly desirable.
• Have high proficiency in Python and SQL, with experience in developing and deploying production-level pipelines.
• Have strong understanding of statistical modelling, machine learning algorithms, and optimization techniques
• Have experience with cloud computing platforms (e.g., AWS, GCP, Azure) and big data technologies.
• Have experience working with large datasets and building scalable data pipelines.
• Have experience with A/B testing and experimentation methodologies.
• Have exceptional analytical and problem-solving skills.
• Have strong leadership abilities with a demonstrated ability to inspire and motivate a team.
• Have excellent written and verbal communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
• Are self-motivated, proactive, and results-oriented with a strong sense of ownership and accountability.
• Have ability to thrive in a fast-paced, dynamic, and entrepreneurial environment.
• Have passion for leveraging data and technology to drive business impact.
• Have strong business acumen and strategic thinking abilities.

About Razor Group

We are revolutionizing the e-commerce world, reaching over $1 billion in value and over $700 million in revenue, with the backing of top investors like Black Rock, VPC, and Fortress, Apollo, 468 Capital, Rocket Internet. Along with Perch and our previous acquisitions of Factory14 in Spain, Valoreo in Latin America, and our German competitor Stryze, we now operate a catalogue of over 40,000 products across 3 continents and 10+ countries. Headquartered in Berlin, we are also present in Austin, Boston, Delhi NCR, Hangzhou, and Mexico City!