Data Scientist
About Codeway
Codeway is a technology company building AI-powered mobile apps used by over 300 million people worldwide.
Since 2020, we’ve launched 60+ products across photo editing, productivity, entertainment, and more—many of which lead their categories. Our standout apps include Retake, Wonder, and Chat & Ask AI.
With a deep focus on AI research and proprietary technologies, we build experiences that define new standards in mobile. In 2024, we became the most downloaded app publisher on iOS globally. None of this happens without the team. Our 270+ people bring curiosity, clarity, and ownership to everything we build. Recognized as Turkey’s #1 LinkedIn Top Startup and a certified Great Place to Work across Europe and the tech industry, Codeway is built to attract, grow, and empower top talent.
That’s our way. This is Codeway.
POSITION
This role will focus on leveraging the app data to optimize the efficiency of marketing campaigns and app features. The ideal candidate will have a robust understanding of statistical analysis and classical machine learning methods with a passion for applying them to real-world time-series forecasting problems.
WHAT YOU’LL BE DOING?
· Develop and own machine learning models to predict LTV and churn for our subscription-based apps.
· Design and implement custom loss functions and evaluation metrics tailored to business objectives (e.g., ranking, calibration, cohort forecasting).
· Drive improvements in automation, maintainability, and reproducibility to support scale and cross-functional adoption of already existing ML models and pipelines.
· Collaborate closely with data, product, and marketing teams to uncover insights and ensure models drive action.
· Stay up to date with recent ML research, tools, and modeling approaches — and translate ideas from papers into practice.
WHAT YOU’LL BRING?
· 2+ years of experience as a Data Scientist or an ML Engineer.
· BS in engineering/physics/math or related field. MS/PhD is a big plus.
· Solid understanding of time series forecasting, user behavior modeling, or subscription lifecycle metrics.
· Strong skills in Python, machine learning frameworks (e.g., scikit-learn, PyTorch, TensorFlow), and model deployment best practices.
· Familiarity with LTV prediction challenges in consumer apps is a big plus.
· Strong problem-solving and communication skills – able to work independently and cross-functionally in a fast-paced environment.
· A strong understanding of statistics and the ability to identify and assess potential biases in data are essential.
NİCE TO HAVE:
· Previous experience in Customer Lifetime Value and Churn Prediction within subscription based businesses.
· Contributions to large-scale codebases or open-source projects.
· Previous experience with cloud data platforms such as BigQuery.
· Proficiency in SQL and experience working with large datasets.
· Experience in putting models in production and experiment tracking.
Your personal data that will be collected through your applications made due to this advertisement will be processed automatically by the data controller Codeway in accordance with the Personal Data Protection Law No. 6698 ("KVKK") and relevant legislation for the purpose of conducting job application processes. You can access detailed information on this matter from the "Candidate Information Notice" page at https://www.codeway.co.
Bu ilan sebebiyle yapacağınız başvurular aracılığıyla toplanacak kişisel verileriniz veri sorumlusu Codeway tarafından 6698 sayılı Kişisel Verilerin Korunması Kanunu (“KVKK”) ve ilgili mevzuat kapsamında iş başvuru süreçlerinin yürütülmesi amacıyla otomatik yollarla işlenecektir. Detaylı bilgiye https://www.codeway.co adresindeki Aday Aydınlatma Metnimizin sayfasından ulaşabilirsiniz.
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Now What?
We are dedicated to maintaining a brief and transparent recruitment process.
Application
Apply through our website or LinkedIn, sen us your CV or LinkedIn profile. No harm in writing a few word about yourself.
Case Study
We might send you a task to solve to understand your capabilities at the overall
HR Interview
Let’s talk about your experience & expectations and see what we can achieve together in a quick HR Interview
Technical Interview
You will meet with future team lead to go over the case and your technical capabilities in detail
