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Spyke Games

Posted 4 months ago

Open

Data Scientist

IstanbulRemoteFull-time

AI Summary

A data scientist builds and implements ML and optimization algorithms, maintains ETL pipelines, runs experiments, and creates dashboards to improve engagement and monetization for mobile games.

About this role

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

    • Skills

    AirflowAWSBigQueryDeep LearningFirebaseGCPMachine LearningPythonReinforcement LearningSQLTableauTime-series Analysis

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