Lead Data Scientist

at  Deep Silver Dambuster Studios

ABOUT DAMBUSTER STUDIOS

Originally founded in 1999 as Free Radical Design our ambition and passion comes through as strongly now as when we first began. We are always seeking individuals who can emulate our values - passion, quality, and teamwork - which are embodied in our diverse and inclusive culture.
Even if you’re not sure that you meet all the criteria for a role, don’t be put off from applying - we want to hear from you. Our only requirement is that you work from the UK, and if you’re not here right now we can discuss relocation and sponsorship for some of our positions (if the role is eligible, it’s outlined in the advert below). Our studio is in Nottingham city centre and many of our roles can be offered on a hybrid or fully remote working basis – each role is different, so please refer to the advert below for further information. Our internal Wellbeing Committee and Mental Health First Aiders help ensure that our diversity is championed in a safe environment.

SKILLS AND EXPERIENCE

• Advanced degree in Computer Science, Statistics, Information Systems Management, AI/Machine Learning/Deep Learning, a related discipline, or comparable work experiences
• 5+ years of experience in Data Analytics, Data Science, Data Strategy, Consulting or related experience
• Experience managing, coaching and growing a team of Data Experts (in an international context is a plus)
• Proven record developing, testing, deploying and maintaining complex and optimized scripts/models/data solutions in SQL, Python and/or R
• 3+ years of experience designing, sharing and maintaining BI dashboards (PowerBI, Tableau)
• Effective communication skills, including presenting and sharing information with audiences across a wide array of technical expertise, culture and seniority
• Strong mentoring abilities and team spirit
• Passion for video games
• (Desirable) Experience working in the gaming, entertainment or media industry

ROLE OVERVIEW

• As the Lead Data Scientist, you will be a part of a multinational team that specializes in data engineering, data science, data analysis and user research
• The Data Analytics Team provides insights and actionable results to a wide variety of teams and stakeholders across the organisation
• We ally as a global team to develop cutting-edge data pipelines, reports, analysis and machine learning applications to best support the games we publish
• We work closely with the User Research Team, blending our respective expertise whenever relevant to create accurate, easy to digest and impactful UX reports
• This role requires someone who can be based in or near Nottingham, and attend the studio on a daily basis with some hybrid working

RESPONSIBILITIES

• Collaborate with the Head of the department to align with studios and internal teams on strategic planning and data initiatives.
• Develop, share, and implement the PLAION game analytics roadmap and data services.
• Enhance PLAION’s competitive edge through superior data initiatives for teams, studios, and partners.
• Manage the global data roadmap for both current and new games, ensuring its relevance and reliability.
• Coordinate data and analytical efforts across studios, products, and regions, prioritizing accordingly.
• Support product teams with new data use cases, providing expert consulting and fostering trust with partners.
• Manage the global data roadmap for both current and new games, ensuring its relevance and reliability.
• Coordinate data and analytical efforts across studios, products, and regions, prioritizing accordingly.
• Support product teams with new data use cases, providing expert consulting and fostering trust with partners.
• Lead, coach and grow a team of data experts that can deliver insights and improve the performance of our games
• Support the development of your team in their craft, providing mentorship on a regular basis
• Develop, communicate and implement the vision, roadmap and operational strategy of the Data Analytics Team to deliver against the needs of PLAION business