THE OPPORTUNITY

Build and lead a small but high-calibre team of data scientists and data engineers as part of a  fast-paced, high-growth business. Media Players is on a mission to become the world's leading provider of data-driven sports marketing and analytics. We combine data science with marketing psychology and world-class media execution to drive measurable engagement for our clients and partners. 

The Data Team works hand-in-glove with the Marketing Team to provide the core assets needed for microtargeted campaigning (e.g. custom segmentation, predictive scoring, attribution models), while also acting as a ‘skunkworks' that continually innovates with the most powerful data and technology available to provide a competitive edge for the business.

Working within a matrix organization and overseeing the operation of a diverse team, this position requires an individual with very strong leadership, organisational and communication skills, as well as the technical competencies to prototype and productionise solutions that deliver demonstrable success. For the right candidate, this role offers the opportunity for autonomy and personal ownership within a dynamic, high-growth international business.

RESPONSIBILITIES

• Build and lead a multidisciplinary team of data scientists and data engineers to drive enhanced customer acquisition strategies for our partners and clients.
• Lay the technical foundations of the team; being hands-on at first and then transitioning to building, empowering and leading a high performing team.
• Provide mentorship and coaching to your team; undertake day-to-day performance management and guide professional development.
• Delegate effectively and empower team members to take responsibility for their individual objectives. Provide regular feedback and foster a relationship of trust with your team.
• Facilitation of knowledge sharing both within the team and across the wider business. Enable regular communication with other teams across MP to ensure that the developed learnings and best practices are adopted across the organisation.
• Maintain a strong level of technical knowledge, and be aware of any new technical developments that may benefit the business

REQUIREMENTS

• Experience at the edge of data science, engineering and devOps, and knowledge of how these disciplines come together to enable machine learning algorithms to be developed and deployed to production.
• Three to five years experience as a technical practitioner in data science or engineering, and a desire to transition into a leadership role (though you may or may not have already taken the first step). Past experience in B2C communications and marketing highly desirable.
• Experience integrating the data science and engineering workflow with modern marketing and advertising platforms highly desirable.
• Experience with developing and deploying models within a CDP or other cloud based data infrastructure.
• Demonstrable management and interpersonal skills. A desire to coach, mentor and build these skills within an small but steadily growing team
• Strong technical skills covering programming (ideally Python), databases (relational and noSQL), machine learning and statistics.
• Experience with identifying data science and data engineering talent, and in building, motivating and retaining strong technical teams.
• Experience applying abstract mathematical concepts to noisy real-world data.
• Entrepreneurial drive and the desire to contribute to building an early stage company.
• Ability to balance multiple projects, often with simultaneous and competing deadlines.
• The ability to work effectively with people from a variety of backgrounds.
• GDPR compliance experience highly desirable.
• Willing and able to travel regularly between Miami and London.