Fortis Games is looking for an experienced Sr. Data Scientist to build and lead their centralized data science team, aiming to enhance game development and player experience through advanced analytics and machine learning.
Requirements
- Proficient in supervised learning (i.e., regression, random forest), unsupervised learning (i.e., clustering, dimensionality reduction, anomaly detection), reinforcement learning (i.e., multi-armed bandits), and causal inference
- Extensive experience in driving customer insights, preferably for mobile apps
- Prior experience in gaming analytics, preferably mobile free-to-play
- Deep experience in building experimentation frameworks (Bayesian and Frequentist)
- Expert in SQL, Python, R or equivalent programming languages
- A generalist mindset who enjoys tackling problems across the data science domain
Responsibilities
- Develop machine learning and statistical models that power our centralized intelligence platform
- Prototype, automate, and productionalize analysis frameworks that improve the capabilities and efficiency of the larger analytics department
- Partner with data engineering to build production-level machine learning and statistical models
- Provide statistical mentorship to the larger analytics department
- Leverage your connections in the larger data science community to ensure Fortis is at the forefront of data science in gaming
- Apply best practices in MLOps to ensure reliability and scalability of our systems as our gaming portfolio grows
- Mentor the larger analytics department on statistical techniques
Other
- Be the first hire for our centralized data science team
- Partner with the Director of Data Analytics to guide the direction of this new R&D team
- Be the subject matter expert on predictive and prescriptive analytics
- Ability to thrive in dynamic, 0-1, startup environments
- Excellent communicator who can partner with highly technical stakeholders as well as explain highly technical concepts to a non-technical audience
