🔹 Job Title: Vice President, Marketing Data Science and Analytics
🔹 Company: Razor Group GmbH
🔹 Location: Boston, Massachusetts, United States
🔹 Job Type: On-site, Full-time
🔹 Category: Marketing, Data Science, Analytics
🔹 Date Posted: April 17, 2025
🔹 Experience Level: 10+ years
🔹 Remote Status: On-site/Hybrid (with some remote work)
🚀 Job Overview
Key aspects of this role include:
- Owning the vision, strategy, and roadmap for data science and automation at Razor Group.
- Collaborating with executive leadership to define key performance indicators (KPIs) and align algorithmic strategies with overall business objectives.
- Driving the strategic financial direction of the business through innovative economic models and systems.
- Staying ahead of industry trends and emerging technologies in e-commerce, pricing optimization, and advertising to identify opportunities for continuous improvement.
- Leading the team in presenting findings, insights, and recommendations to executive leadership and investors.
📋 Key Responsibilities
✅ Strategic Leadership:
- Own the vision, strategy, and roadmap for data science and automation at Razor Group.
- Collaborate with executive leadership to define KPIs and align algorithmic strategies with overall business objectives.
- Drive the strategic financial direction of the business through 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 presenting findings, insights, and recommendations to executive leadership and investors.
✅ Algorithmic Development and Implementation:
- 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.
✅ Team Management and Development:
- 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 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.
✅ 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.
🎯 Required Qualifications
Education:
- Hold a Bachelor's degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Mathematics, Operations Research) from a top-tier university.
Experience:
- 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.
Technical Skills:
- Apply high proficiency in Python and SQL, with experience developing and deploying production-level pipelines at scale.
- Understand 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.
Leadership and Communication Skills:
- Exhibit exceptional analytical and problem-solving skills.
- Show strong leadership abilities with a demonstrated ability to inspire and motivate a team.
- Convey excellent written and verbal communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
- Maintain self-motivation, proactivity, and results-orientation with a strong sense of ownership and accountability.
Mindset:
- Thrive in a fast-paced, dynamic, and entrepreneurial environment.
- Hold passion for leveraging data and technology to drive business impact.
- Display strong business acumen and strategic thinking abilities.
💰 Compensation & Benefits
- Salary Range: Industry standard range based on role, experience level, and location. (Estimated: $200,000 - $300,000 per year)
- Benefits:
- Comprehensive health, dental, and vision insurance
- Retirement savings plan with company match
- Generous vacation and leave policies
- Employee stock options and equity compensation
- Professional development opportunities and tuition reimbursement
- Wellness programs and gym membership reimbursement
- Working Hours: 40 hours per week, with flexibility for remote work on occasion.
📈 Applicant Insights
Company Context:
- Industry: E-commerce and retail technology
- Company Size: 201-500 employees
- Founded: 2020
- Headquarters: Berlin, Germany
- Description: Razor Group is revolutionizing the e-commerce world by acquiring and scaling profitable Amazon FBA businesses and other online marketplace sellers. With a portfolio of over 40,000 products across 3 continents and 10+ countries, Razor Group is headquartered in Berlin and operates in Austin, Boston, Delhi NCR, Hangzhou, and Mexico City.
- Specialties: E-commerce, retail technology, data science, and marketing.
Role Analysis:
- Career Level: Executive-level role with significant strategic and leadership responsibilities.
- Reporting Structure: Reports directly to the CEO or another C-level executive, with matrix reporting to other department heads as needed.
- Work Arrangement: Primarily on-site, with some flexibility for remote work.
- Growth Opportunities: Potential to shape the future of e-commerce and grow within the organization as it expands.
🛠 Cultural Fit Considerations
- Company Values: Razor Group values innovation, collaboration, continuous learning, and a strong work ethic. Employees should be comfortable working in a fast-paced, dynamic environment and thrive on driving results.
- Work Style: The ideal candidate will be comfortable working in a matrix organization, collaborating with various departments, and managing multiple projects simultaneously. Strong communication and leadership skills are essential.
- Self-Assessment Questions:
- How do your personal values align with Razor Group's company values?
- Are you comfortable working in a fast-paced, dynamic environment, and driving results?
- How do you approach collaborating with various departments and managing multiple projects simultaneously?
⚠️ Potential Challenges
- Role-Specific Challenges:
- Balancing strategic planning with day-to-day tactical responsibilities.
- Managing a team with diverse skillsets and experience levels.
- Keeping up with rapidly evolving technologies and industry trends.
- Company-Specific Challenges:
- Working in a matrix organization with multiple stakeholders.
- Navigating a fast-paced, dynamic environment with frequent changes and priorities.
- Maintaining work-life balance in a demanding role.
📈 Similar Roles Comparison
- How this role differs from related positions:
- This role focuses on strategic leadership and algorithmic development, whereas related roles may emphasize more on day-to-day management or technical implementation.
- This role requires a strong business acumen and strategic thinking, while related roles may prioritize technical expertise.
- Industry-specific context:
- The e-commerce industry is dynamic and competitive, with constant changes in consumer behavior, market trends, and technological advancements.
- Successful candidates will be adaptable, proactive, and able to thrive in uncertainty.
📝 Sample Projects
- Project examples specific to this role:
- Developing and implementing a new pricing algorithm that increased revenue by 15% within the first quarter.
- Leading a team to optimize advertising spend, resulting in a 20% reduction in cost per acquisition.
- Building and deploying a predictive model that forecasted demand with 95% accuracy, enabling proactive inventory management.
- Project examples specific to the industry:
- Analyzing customer data to identify trends and optimize product offerings, leading to a 10% increase in sales.
- Developing and implementing a real-time inventory management system, reducing stockouts by 15%.
💡 Key Questions to Ask During Interview
- Questions specific to role responsibilities:
- How do you approach balancing strategic planning with day-to-day tactical responsibilities?
- Can you describe your experience managing a team with diverse skillsets and experience levels?
- How do you stay up-to-date with rapidly evolving technologies and industry trends?
- Questions specific to company culture:
- How do you thrive in a fast-paced, dynamic environment, and drive results?
- How do you approach collaborating with various departments and managing multiple projects simultaneously?
- Questions specific to growth opportunities:
- How do you see this role contributing to your long-term career growth within the company?
- What opportunities do you see for the company to expand and consolidate its market position in the next few years?
📝 Next Steps for Applicants
To apply for this position:
1. Submit your application through the [Application URL](https://job-boards.eu.greenhouse.io/razorgroupgmbh/jobs/4577189101).
2. Tailor your resume to highlight relevant skills and experiences, emphasizing your fit for this role.
3. Prepare for behavioral interview questions that focus on your leadership, problem-solving, and communication skills.
4. Research the company and industry to demonstrate your understanding and enthusiasm for the role.
5. Follow up with the hiring manager one week after submitting your application to express your interest and reiterate your qualifications.
