Is the Data Scientist role at Spyke Games remote?

The Data Scientist role at Spyke Games is an on-site position located in Istanbul.

How do I apply for the Data Scientist position at Spyke Games?

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Data Scientist

Spyke GamesIstanbul2w ago

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

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Data Scientist

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