Principal Data Scientist
Description
As a Principal Data Scientist, you will play a critical role in leveraging data and AI to make decisions in real time to deliver the right reward and message to the right customer at the right time and medium, and create a competitive advantage for the organization. The ideal candidate will be a tenured Data Scientist, ML or AI engineer that has a proven track record of designing and implementing cutting-edge, real-time and AI-empowered applications along with the corresponding ML/DL algorithms. We're looking for an AI expert who wants to be at the forefront of innovation in the iGaming industry. Join us in shaping the future of iGaming with breathtaking experiences that thrill and delight players around the world.
Responsibilities
- Design scalable, reliable and high-performance AI applications along with their corresponding ML/DS algorithms.
- Set the tech direction in the AI tribe in order to deliver state-of-the-art AI models in production.
- Inspire and mentor fellow data scientists, fostering technical and soft skill growth.
- Stay ahead of the AI curve, applying emerging technologies to enhance our capabilities, disrupt the industry and showcase what’s truly possible.
- Define the company-wide AI technical and product roadmap, in-line with the business product roadmap. Resist the AI hype and enable impact-driven prioritization with quick and impactful PoCs that demonstrate the value.
- From ideation, to translation of business needs to technical requirements, all the way to operationalization and maintenance, demonstrate autonomy on high-complexity and ambiguous projects and ownership of the outcome.
Requirements
- 8+ years of hands-on experience leveraging large-scale data to build ML/DS models with Python
- PhD-level expertise in one or more of the following domains: Recommendation Systems, Time-series, Reinforcement Learning, Graph Learning
- A deep understanding of the ML development lifecycle and how to optimize the trade-offs in each step.
- Proven track record of designing, implementing, optimizing and scaling performant AI-empowered applications.
- Solid experience with MLOps and quality evaluation practices in order to operationalize and maintain those applications in production.
- Excellent communication and collaboration skills targeting a diverse audience from stakeholders to cross-functional technical teams, in order to provide technical guidance and insight.
- Expertise in constraint optimization, uplift modeling, causal inference & personalization (Nice to have)
- Exposure to a variety of domains especially CRM and a diverse family of models (Nice to have)
- Familiarity with a wide range of big data technologies, such as Apache Spark, Delta Lake, Apache Kafka, Apache Flink and NoSQL databases (Nice to have)
Benefits
- A buddy will support you with your onboarding
- Competitive pay & bonus scheme
- Developmental 360° feedback framework
- Hybrid way of working & remote options
- Monthly meal allowance
- Nice rigs - 2.5K monitor, latest i7, tons of RAM, fast SSD
- Private health insurance for you & your family
- Relocation package & "Brain Gain" relocation bonus for Greek expats
- Unlimited access to Udemy & continuous training