Who we are
At Fortis Games we aspire to make great games that bring people together while redefining how game companies work. We believe in building a sense of belonging through our games, their communities, and how we operate and treat each other. Through our game communities, we will create powerful connections and lasting memories. We will foster a culture of diversity, equity and belonging where together our diverse skills, experiences and backgrounds impact the games we make.
We are an early but mighty organization with a leadership team of game industry veterans. There are many opportunities for you to have a big impact on the products we'll be making as well as the overall direction of the company. If you're passionate about tackling difficult problems with direct and thoughtful communication and team first mentality, we may be the right place for you.
About the role
We are looking for an experienced Sr data scientist to be the first hire for our centralized data science team. As a data scientist, you will be hands-on in addition to partnering with the Director of Data Analytics to guide the direction of this new R&D team. You will be the subject matter expert on predictive and prescriptive analytics. You will partner with data engineering to build production-level machine learning and statistical models and provide statistical mentorship to the larger analytics department.
What you’ll achieve
- 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 game studios and data analysts to generate enhanced customer insights
- 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
What you’ll need to be successful
- 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
- 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
- A generalist mindset who enjoys tackling problems across the data science domain
Why join us
There are many reasons to join us, but here are a few:
- We strongly believe we are changing how games studios operate and at the core of what we do is making great games that create a connected community
- We're not just about making Games Where You Belong. We're also about building communities where our people belong. That's why Fortis is a thriving environment that celebrates diversity, embraces inclusivity, and fosters growth.
- Build and grow with a seasoned team of accomplished talent who have left an impactful mark in their disciplines, both in and out of gaming
Fortis is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, protected veteran status, or any other basis protected by applicable law, and will not be discriminated against on the basis of disability.
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