Data Scientist
Job Summary
Job Description
Spyke Games is seeking an experienced Data Scientist to build, grow, and optimize mobile games. You will design and run experiments, build ML algorithms, and promote data-driven decision making. Experience with predictive modeling, time series analysis, and big data methodologies is essential.
Must have:
- Predictive Modeling
- Time Series Analysis
- Machine Learning
- Big Data Methodologies
Good to have:
- Deep Learning
- Reinforcement Learning
- Data Visualization
- AWS/Google Cloud
Perks:
- Fast-Paced Environment
- Smartest Minds
16 skills required
Job Details
About Spyke Games
We are a leading mobile gaming company founded by gaming veterans who have built and scaled massive gaming businesses for the past decade.
We want to build the next generation of mobile game franchises to be played by millions of people around the globe for years. We are bringing together the smartest, the most talented and ‘fun to work with’ group of people united around this single mission. Fostered with team spirit and collaboration, we strive to create a passionate, energetic and eager to learn “geek” culture focused on games.
We’re looking for an experienced Data Scientist to help build, grow and optimize our mobile games. At Spyke, you will be working in a fast-paced, hyper-growth environment with some of the smartest minds in the industry. This scale and pace comes along with very interesting business challenges which we will solve together, using a technology-agnostic and data-informed decision making approach.
Job Responsibilities
- Build and implement ML & Optimization algorithms that will be used for Product & Marketing
- Build and maintain ETL automation to structure data
- Run exploratory analysis and find scalable ways to improve engagement and monetization
- Design and run experiments, run them together with relevant teams, and communicate learnings
- Create and maintain reports and dashboards.
- Promote data-culture across the organization
Job Requirements
- Full-stack data scientist
- Degree in Mathematics, Physics, Statistics, Computer Science or Engineering
- Experience in predictive modeling, time series analysis, machine learning, big data methodologies, deep learning, and reinforcement learning
- Proficiency in Python & SQL and strong coding skills
- Experience in data engineering and familiarity with AWS or Google Cloud Platform
- Experience in data visualization
- Familiarity with tools such as Airflow, Tableau, BigQuery, Firebase
We respect your privacy and will treat your data confidential as part of the recruitment process. If you’d like more details, please read our Statement of Personal Data Protection Law (KVKK)
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