VP of Research Analytics & Data Science

INTRO We’re seeking a visionary senior leader who understands and respects the duty of steering a team of talented professionals. This person will make vital decisions about the growth of our entire organization while upholding our core values. As your task, you need to identify opportunities that may bring significant benefits to the company’s profitability and implement them. Using data as a key differentiator in our market is crucial. This opportunity allows you to formulate strategies and spearhead the creation of world-class research products. You will have an impact on our data analytics team and culture within a global, data-driven company that creates worlds beyond gameplay and unites communities. EXPECTATIONS HOW - Be a Heart-First, People-First, Senior Leader Exhibit the values we stand by. Understand and care for your team members, knowing that, as their leader, you serve them. - Excel as a Senior Manager Champion best practices for project management, and find the right formula making your teams exhibit high performance. Prioritize pragmatically, communicate effectively, and know when to multitask and when to focus. - Be the Face of Your Teams Form strong relationships and true partnerships with your stakeholders at the senior leadership level. - Serve as a Leadership-Team Member Be willing and capable of continuous learning and improvement as a leader and manager. Be deliberate about enhancing the culture of our leadership team. Spend time with your peers, rejoice together, resolve issues together, and be authentic. WHAT Deep Business Consultation - Answer executive/directional questions using predictive simulations and macro-context analysis. - Partner with company leaders, provide in-depth analysis, forecasting, and prescriptive recommendations to formulate and adjust business strategy. - Present opportunities for applied data science use cases and see them through. - Maintain a living pipeline of business-moving hypotheses and analyze their potential. Run a mature DS shop. - Use a modular approach for our mature DS offering, creating elements that can be repurposed. - Design, build, manage testable and adaptable ML-powered software that powers EFG’s products. Innovation Arm Leadership - Data Assets - Continuously scrutinize internal/external strategic data assets that enhance our information and context. - Capabilities Lab - Expand our business methodologies and broaden our data product portfolio. From AI/NN/NLP to GenerativeAI. - Publish industry thought leadership - aim to be a defining voice in our industry through data research and a scientific approach. Data Org Alignment - Define and monitor our data org’s KPIs including the effectiveness of data science and research analytics. - Educate and disseminate stories company-wide. - Collaborate with our Insights Analytics team working towards driving Business OKRs with end-to-end analytics products. Develop a collaborative partnership with the ML Eng/Ops team ensuring strategic alignment. Requirements EXPERIENCE Research Analytics - Proven record of delivering measurable business impact through advanced quantitative analyses and statistical modeling. - Profound experience with Statistical Forecasting, Predictive Modeling, using multiple statistical approaches to provide deep business insights. - Experience in generating Prescriptive Analytics outcomes and furnishing actionable strategies for business units. - Experience running a high-performance Research Lab aimed at proactively identifying business hypotheses worth pursuing, irrespective of the technology involved. - Experience leading a Data Innovation Arm: identifying strategic data assets to procure and experimenting with new tools/paradigms to test like AI/NN/NLP/GPT. Data Science - Practical know-how of building, growing, and managing applied DS teams, making real-time and batch models, and frequent model updates. Understand what a good DS-Lifecycle should look like. - Successful integration of DS into various business domains (product, marketing, tech) with proficiency in online and offline model delivery. - Your teams’ model delivery track record has included several different DS approaches, and you can decide when to use various methods based on experience. Stakeholder Management - Proficient in handling complex problems, managing ambiguity, and seeing through the clutter in a rapid-paced environment. - Proven track records of Service rooted in care for your customers with high levels of satisfaction. Tools - Hands-on experience with machine learning modeling and statistical forecasting on large data sets, proficient in scripting and querying languages. - Understanding of the broader picture of the ecosystem, experienced with ML Ops, Data Quality, Monitoring/Observability tools, etc. TRAITS - Culture eats strategy for breakfast - You prefer to have fun while achieving goals. High-five your team members, recount fun anecdotes, and always have the team’s back. - You're enthusiastic about continuous learning: You appreciate that there's always something new to learn. You stay updated on new trends in data, understand various tools to solve diverse problems, and look forward to the next release of your favorite tool. - Past experience in the Esports/Gaming/Betting/Events industry would be greatly advantageous. - You take the time to celebrate victories and enjoy the journey.