Data Scientist
On-site Istanbul Full-time Mid-level Data Science
At a glance
Mid-level Data Science role at Spyke Games. Istanbul · full-time.
Pay not stated Data Scientist salary
RoleData Science
SeniorityMid-level
LocationIstanbul
WorkplaceOn-site
EmploymentFull-time
PostedOct 21, 2022 · 4y ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Put machine-learning models into production to guide player segmentation, behavior predictions and growth decisions
- Build systems that personalize player experiences, including the rules that determine what each person sees
- Run production data and model workflows, checking data quality and setting up monitoring and alerts
- Set up experiments with product and marketing, assess results, then help decide what to do
- Analyze player and monetization data, turning opportunities to improve engagement, retention or revenue into shippable actions
What you bring
- A degree in engineering, statistics or another quantitative field
- At least one year of hands-on data science or Python development, including work that reached production
- Strong Python and SQL skills, plus experience with a column-based cloud warehouse such as BigQuery
- Practical knowledge of supervised learning for tabular data, including model validation, feature work and interpretation
- A grounding in experimentation statistics and data engineering, with familiarity with tools such as GCP or Apache Airflow
Who this fits
This mid-level role suits you if you can write maintainable Python and take models and workflows into production. You’ll work with product and marketing teams on experiments and decisions. The job is based on-site in Istanbul, Türkiye.
From the employer
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 a 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.
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 a 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 productionize ML models that drive product and marketing decisions — player segmentation, player behavior prediction, and growth modeling.
- Design personalization and optimization systems that decide what each player sees, and the decision logic behind them — not just the prediction.
- Own your pipelines in production. Build and maintain ETL and model workflows on our orchestration stack, and keep them healthy with monitoring, data quality checks and alerting.
- Design and run experiments. Define test groups, choose the right metrics, evaluate results honestly, and drive the decision together with the product and marketing teams.
- Run exploratory analysis on player and monetization data to find scalable ways to improve engagement, retention and revenue — and turn findings into a concrete, shippable action.
Job Requirements
- Degree in Engineering, Statistics or a related quantitative field.
- 1+ years of hands-on data science or Python development experience, with code that reached production
- Strong Python, with clean, reviewable, maintainable code. Comfortable with Git and code review.
- Strong SQL and real experience with a columnar cloud warehouse — BigQuery preferred.
- Practical ML depth in supervised learning on tabular data: gradient boosting, classification and regression, proper validation, class imbalance, feature engineering and model interpretability.
- Experience in data engineering and familiarity with tools such as GCP, Apache Airflow, Docker, Flask.
- Statistics and experimentation fundamentals: hypothesis testing, confidence intervals, sample size.
- Effective use of AI tools in your daily workflow, with the judgment to review and validate what they produce rather than shipping it blindly.
Data Science work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Science
Find me workBy the team behind dataroles.