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ATP

Senior Data Scientist

ATP
Turkey · Full-time · Associate

🎯 Join us, learn from us, teach us. Let’s make a difference, together!


ATP is touching the lives of millions every day, perhaps yours as well! Whether you are trading stocks on your mobile device, placing an order for a burger at a restaurant or waiting for delivery to arrive you may be interfacing with one of our software solutions, without even realizing it.


Working at ATP, you will touch people’s lives and contribute to a more productive and sustainable future. As a team, we define our values with the words “team spirit”, “people centricity”, “innovation” and “sustainability”. We challenge new members joining our team not only to learn from us, but also to teach us and make a difference together.


🚀About Us


ATP (Ata Technology Platforms), is one of the leading providers of enterprise class IT platforms and services for mission critical applications. Having gone public in June 2021 (Borsa Istanbul: ATATP), we are expanding our business in Turkey, China, Asia Pacific and the EMEA region. As a multinational company, we differentiate ourselves with innovative technologies, exclusive team of talents and strategically focused brands. Execution of our strategy is carried out with an organization that consists of 5 major brands;


  • Tradesoft, develops software solutions for brokerage firms, fund/portfolio management companies and other financial institutions. Our state-of-the-art trading system handles over 5.000 transactions every second and our systems currently account for 50% of the trading volume of Istanbul stock exchange among competitive systems used by brokerage firms.
  • Zenia, enterprise POS (point-of-sale), restaurant management, and multi-channel order management and delivery solutions are currently used by quick service restaurants at over 2,800 locations globally. We have proudly delivered over 350 million orders and still counting.
  • ATP Digital, is a leading provider of digital transformation solutions to mid-to-large size companies, with technical know-how and industrial expertise that have resulted in over 540 successful projects.
  • ATP GSYO, our corporate venture capital arm, invests in and supports technology startups with commercially viable solutions that have strategic importance to ATP and global sales potential. ATP GSYO has recently invested in AtaExpress embodying the digital delivery application TiklaGelsin and the delivery service platform Fiyuu.
  • ATP GreenX, is a global marketplace for sustainable energy products that brings together producers and consumers, actively contributing to the global Green Energy Market.
  • ATP RobotX delivers autonomous robotic solutions for the retail, logistics, manufacturing, and service industries, accelerating operational efficiency across business processes. Our robots seamlessly integrate with existing systems to optimize in-store operations, inventory management, and customer experience.


About the Role


We are seeking a Senior Data Scientist to lead high-impact projects that bridge advanced research and production-grade applications. In this role, you will be responsible for designing, developing, and deploying sophisticated machine learning models to solve complex business problems. You will work across the entire data lifecycle, from hypothesis generation and feature engineering to model deployment and monitoring, ensuring that our data-driven solutions are both scalable and scientifically rigorous.


What You’ll Bring?


  • PhD/MS in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field (or equivalent industry experience).
  • 5+ years of hands-on experience in Data Science, including:
  • Expertise in statistical modeling, hypothesis testing, and exploratory data analysis (EDA).
  • Proven track record in building and deploying ML models (XGBoost, LightGBM, Random Forest, etc.).
  • Deep understanding of Deep Learning frameworks (PyTorch or TensorFlow).
  • Strong programming skills in Python and proficiency with the data science stack (Pandas, NumPy, Scikit-learn).
  • Experience with SQL and managing large-scale datasets in cloud or on-premise environments.
  • Ability to design experiments, benchmark models, and optimize for both predictive accuracy and computational efficiency.
  • Exceptional communication skills and English fluency.


What You’ll Be Doing?


  • Lead end-to-end Machine Learning projects, including supervised/unsupervised learning, predictive modeling, and statistical analysis.
  • Design and implement scalable data pipelines for structured (tabular, time-series) and unstructured data sources.
  • Collaborate with stakeholders to translate business requirements into technical AI/ML specifications and measurable KPIs.
  • Optimize and deploy models in production using MLOps best practices, focusing on performance, reliability, and automated monitoring.
  • Drive innovation by staying ahead of General AI research (e.g., ensemble methods, deep learning, reinforcement learning) and applying state-of-the-art techniques.
  • Mentor junior team members and establish best practices for coding, experimentation, and model validation.


Nice-to-Have (Plus)


  • Experience with Computer Vision (OpenCV, object detection, segmentation).
  • Familiarity with Generative AI and Large Language Models (LLMs).
  • Experience with Cloud ML platforms (AWS SageMaker, Azure ML or GCP AI Platform).


Touch Your Career; Get in Touch with ATP!🚀


"Bu ilan sebebiyle yapacağınız başvurular aracılığıyla toplanacak kişisel verileriniz veri sorumlusu ATP Teknoloji ve Yazılım A.Ş. (“ATP”) tarafından 6698 sayılı Kişisel Verilerin Korunması Kanunu (“KVKK”) ve ilgili mevzuat kapsamında iş başvuru süreçlerinin yürütülmesi amacıyla otomatik yollarla işlenecektir. Çalışan Adayı Aydınlatma Metni’ne buradan ulaşabilirsiniz."

Key Skills

Ranked by relevance

ai machine learning deep learning cloud computer vision data analysis pytorch python pandas numpy mlops sql aws gcp
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Posted
Apr 06, 2026
Type
Full-time
Level
Associate
Location
Istanbul
Company
ATP

Industries

IT Services IT Consulting

Categories

Information Technology

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