About Trafilea

Trafilea is a dynamic and innovative Tech E-commerce Group that operates multiple direct-to-consumer brands in the intimate apparel and beauty sectors, with a focus on using data-driven strategies to scale their businesses. In addition to our products, we have our own online community dedicated to promoting body positivity. As a rapidly growing global player, Trafilea is committed to creating high-quality products and services that enhance the customer experience and drive long-term growth.
At Trafilea, we foster a culture of collaboration, innovation, and continuous learning. We believe in investing in our people and providing them with the support and development opportunities they need to grow both personally and professionally. With our remote-first approach, you'll have the freedom to work from anywhere in the world, surrounded by a diverse and talented team that spans the globe.

Mission

The Data Science Specialist is entrusted with spearheading innovation and fostering excellence in data analysis, establishing industry-leading benchmarks both within the organization and across the wider industry landscape.

This role entails steering through intricate data challenges, pioneering mathematical applications in data science, and converting state-of-the-art research findings into actionable business intelligence.

As a Data Science Specialist, you will serve as a pivotal strategic advisor, wielding influence over long-term business strategies through data-powered insights while cultivating a culture of economic mindfulness, adept communication, and ongoing learning among teams.

General Accountabilities

• Lead in solving complex and abstract data challenges, providing insights that shape industry standards and drive significant business transformations.
• Innovate in applying mathematical theories to data science, significantly contributing to developing new analytical frameworks.
• Conduct influential research initiatives, advancing the field of data science and mentoring others in research methodologies.
• Translate research findings into actionable insights and methodologies, guiding the organization in adopting advanced data science techniques.
• Serve as a key strategic advisor, using data insights to influence long-term business strategies and decision-making processes.
• Lead initiatives that drive business growth through technical innovation and the application of state-of-the-art data analysis techniques.
• Ensure effective cross-team collaboration, setting a culture of priority setting, urgency, and economic thinking in alignment with organizational goals.
• Foster a culture of feedback, mentorship, and knowledge sharing across teams, enhancing the organization's collective data science capability and documentation practices.

Role-related Competencies & Requirements

• Minimum of 5 years of experience in data analysis, with a proven track record of solving complex data problems and contributing to industry advancements.
• Expertise in applying mathematical theories to data science, with significant contributions to the development of new analytical frameworks.
• Demonstrated experience in leading research initiatives and translating findings into actionable business insights.
• Strong strategic thinking and advisory skills, with the ability to influence long-term business strategies through data-driven insights.
• Exceptional communication skills, capable of engaging effectively with diverse teams and fostering a culture of clear, concise, and impactful communication.
• Leadership in fostering a culture of economic thinking, priority setting, feedback, mentorship, and knowledge sharing across teams.
• Proficiency in advanced data analysis tools and programming languages used in data science (e.g., Python, R, SQL).
• Proven experience in marketing, e-commerce marketplace, or growth teams.

Expected Outcomes for initial 3 months

First 30 Days:

Understand the current data landscape, tools, and methodologies used within the organization. Establish relationships with key stakeholders and teams. Begin identifying major data challenges and opportunities for innovation. Understand Acquisition/Retention business operations and processes and how data plays a big part in them.

First 60 Days:

Lead a significant research initiative or innovation project, applying advanced mathematical theories to solve a pressing data challenge. Provide mentorship to team members, fostering a culture of continuous learning and improvement. Propose three new data approaches to impact the business unit under analysis.

First 90 Days:

Translate a major research finding into an actionable business strategy, influencing long-term business decisions. Implement improvements in cross-team collaboration and communication practices, enhancing the organization's data science capability and efficiency. Implement 2 of 3 data analyses, making a considerable impact on the business