Senior Data Scientist (Python) İş Tanımı
About us: Talent has no borders. Proxify's mission is to connect top developers around the world with the opportunities they deserve. So, it doesn't matter where you are; we are here to help you fast-track your independent career in the right direction. 🙂 Since our launch, Proxify's developers have successfully worked with 1200+ happy clients to build their products and growth features. 5000+ talented developers trust Proxify and its network to fulfill their dreams and objectives. Proxify is shaped by a global network of supportive, talented developers interested in remote full-time jobs. Our Glassdoor (4.5/5) and Trustpilot (4.8/5) ratings reflect the trust developers place in us and our commitment to our members' success. The Role: We are looking for a Senior Data Scientist (Python) to join one of our high-growth client teams as a technical lead in data innovation. In this role, you will be responsible for transforming complex, high-velocity datasets into predictive models and actionable systems that directly influence product strategy and business operations. You will bridge the gap between pure research and production software engineering. You will not just build prototypes in notebooks; you will design, train, evaluate, and deploy robust machine learning models into live cloud environments. This is a role for a systems-thinking data scientist who values clean, modular Python architecture, statistical rigor, and scalable data pipelines. What we are looking for: 5+ years of professional experience as a Data Scientist, with expert-level mastery of the Python data ecosystem ( Pandas, NumPy, SciPy, Scikit-Learn ). Deep theoretical and practical knowledge of supervised and unsupervised learning, regression, classification, clustering, and time-series forecasting. Proven track record of moving models out of Jupyter Notebooks and into production environments using containerization ( Docker ) and microservice design. Strong proficiency in writing complex, optimized SQL queries and experience handling large-scale data using distributed computing frameworks like PySpark or Ray. Experience with machine learning lifecycle tools (such as MLflow, DVC, or Weights & Biases ) for model tracking, versioning, and feature store management. Hands-on experience leveraging cloud data infrastructure (AWS, GCP, or Azure) and managed ML services (e.g., SageMaker or Vertex AI). Time zone: CET (+/- 3 hours). We are unable to consider applications from candidates in other time zones. Nice-to-have: Deep Learning experience using PyTorch or TensorFlow/Keras . Experience with NLP frameworks (Hugging Face, spaCy) or deploying LLM-based pipelines (LangChain, vector databases). Familiarity with orchestration tools like Apache Airflow or Prefect. Strong background in experimental design, A/B testing methodologies, and statistical significance validation. Responsibilities: Design, build, and optimize scalable predictive models and machine learning algorithms to solve complex business challenges. Architect and maintain robust data pipelines and feature sets, ensuring data quality, consistency, and integrity across training and inference layers. Partner with Data Engineers, Product Managers, and Backend Teams to integrate ML models seamlessly into core application APIs. Conduct rigorous peer code reviews for data science workflows, championing production-grade Python design patterns and linting standards. Translate highly technical metrics (Precision, Recall, ROC-AUC, RMSE) into clear business outcomes and executive-level recommendations. What we offer: Get paid, not played No more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options. Predictable project hours Enjoy a harmonious work-life balance with consistent 8-hour working days with clients. Flex days, so you can recharge Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify. Career-accelerating positions at cutting-edge companies Discover exclusive long-term remote positions at the world's most exciting companies . Hand-picked opportunities, just for you Skip the typical recruitment roadblocks and biases with personally matched positions. One seamless process, multiple opportunities A one-time contracting process for endless opportunities, with no extra assessments. Compensation Enjoy the same pay, every month with positions landed through Proxify.
Senior Data Scientist (Python) İlanındaki ATS Anahtar Kelimeleri
Bu ilanın metninde ATS beceri sözlüğümüzle eşleşen 5 anahtar kelime var. En sık geçenler: Python (2 kez), Code reviews (1 kez), Data science (1 kez).
Programlama dilleri, çatılar ve platformlar
- Python · ilanda 2 kez · benzer ilanlarda %93
CV'nde karşılığı: Python ifadelerini ilandaki yazımıyla geçir; birini projesi ve ölçeğiyle bir deneyim maddesinde göster.
Veri, analitik ve yapay zekâ
- Machine learning · ilanda 1 kez · benzer ilanlarda %80
- Data science · ilanda 1 kez · benzer ilanlarda %73
CV'nde karşılığı: Machine learning ve Data science ile yaptığın sorguyu, panoyu ya da raporu sonucuyla anlat.
Mimari, yöntem ve çalışma araçları
- Code reviews · ilanda 1 kez · benzer ilanlarda %13
- Design patterns · ilanda 1 kez · benzer ilanlarda %3
CV'nde karşılığı: Code reviews ve Design patterns için ekipte gerçekten üstlendiğin işi adıyla yaz.
Terimler ilan metninden kural tabanlı sözlükle çıkarıldı; sözlük dışı beceriler listelenmez.
Takibe ekle ve CV'ni bu ilana göre hazırlaBenzer İlanlarda Beceri ve Deneyim Dağılımı
Kıdem ve ek bilgiler çıkarıldığında "Data Scientist" başlığında toplanan 30 ilan (bu ilan dahil) 9 Haziran ile 19 Ekim 2026 arasında yayımlandı. Aşağıdaki oranlar bu ilanların metinlerinden sayıldı.
| Anahtar kelime | İlan | Pay | Bu ilanda |
|---|---|---|---|
| PythonProgramlama dilleri, çatılar ve platformlar | 28 | %93 | Geçiyor |
| Machine learningVeri, analitik ve yapay zekâ | 24 | %80 | Geçiyor |
| Data scienceVeri, analitik ve yapay zekâ | 22 | %73 | Geçiyor |
| SQLVeri, analitik ve yapay zekâ | 21 | %70 | Geçmiyor |
| AWSBulut, DevOps, altyapı ve güvenlik | 11 | %37 | Geçmiyor |
| LLMVeri, analitik ve yapay zekâ | 10 | %33 | Geçmiyor |
| RAGVeri, analitik ve yapay zekâ | 10 | %33 | Geçmiyor |
| AzureBulut, DevOps, altyapı ve güvenlik | 9 | %30 | Geçmiyor |
Aranan asgari deneyim
Deneyim yılı belirten 23 benzer ilanda ortanca beklenti 3 yıl.
| Asgari deneyim | İlan | Pay |
|---|---|---|
| 0-1 yıl | 1 | %4 |
| 2-3 yıl | 11 | %48 |
| 4-5 yıl | 10 | %43 |
| 6 yıl ve üzeri | 1 | %4 |
Benzer ilanların 8 tanesi (%27) İngilizce bilgisi istiyor.
Kaynak: cvanaliz'deki aktif ilanlar; bir terimin geçmesi zorunlu olduğu anlamına gelmez.
Proxify Hakkında
Talent has no borders. Proxify's mission is to connect top developers around the world with the opportunities they deserve. So, it doesn't matter where you are; we are here to help you fast-track your independent career in the right direction. 🙂 Since our launch, Proxify's developers have successfully worked with 1200+ happy clients to build their products and growth features. 5000+ talented developers trust Proxify and its network to fulfill their dreams and objectives. Proxify is shaped by a global network of supportive, talented developers interested in remote full-time jobs. Our Glassdoor (4.5/5) and Trustpilot (4.8/5) ratings reflect the trust developers place in us and our commitment to our members' success. The Role: We are looking for a Senior Data Scientist (Python) to join one of our high-growth client teams as a technical lead in data innovation. In this role, you will be responsible for transforming complex, high-velocity datasets into predictive models and actionable systems that directly influence product strategy and business operations. You will bridge the gap between pure research and production software engineering. You will not just build prototypes in notebooks; you will design, train, evaluate, and deploy robust machine learning models into live cloud environments. This is a role for a systems-thinking data scientist who values clean, modular Python architecture, statistical rigor, and scalable data pipelines. What we are looking for: 5+ years of professional experience as a Data Scientist, with expert-level mastery of the Python data ecosystem ( Pandas, NumPy, SciPy, Scikit-Learn ). Deep theoretical and practical knowledge of supervised and unsupervised learning, regression, classification, clustering, and time-series forecasting. Proven track record of moving models out of Jupyter Notebooks and into production environments using containerization ( Docker ) and microservice design. Strong proficiency in writing complex, optimized SQL queries and experience handling large-scale data using distributed computing frameworks like PySpark or Ray. Experience with machine learning lifecycle tools (such as MLflow, DVC, or Weights & Biases ) for model tracking, versioning, and feature store management. Hands-on experience leveraging cloud data infrastructure (AWS, GCP, or Azure) and managed ML services (e.g., SageMaker or Vertex AI). Time zone: CET (+/- 3 hours). We are unable to consider applications from candidates in other time zones. Nice-to-have: Deep Learning experience using PyTorch or TensorFlow/Keras . Experience with NLP frameworks (Hugging Face, spaCy) or deploying LLM-based pipelines (LangChain, vector databases). Familiarity with orchestration tools like Apache Airflow or Prefect. Strong background in experimental design, A/B testing methodologies, and statistical significance validation. Şirketin diğer ilanlarını inceleyerek ekipler ve aranan yetkinlikler hakkında daha geniş bir görünüm elde edebilirsin.
Proxify iş ilanlarını görProxify Tarafından Yayımlanan Diğer İlanlar
Bu işverenin cvanaliz'de listelenen 30 ilanı daha var; en yeni 12 tanesi aşağıda.
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- Senior Cloud Engineer (Azure) Türkiye14 Eylül 2026 tarihinde yayımlandı
- Senior Fullstack Developer Türkiye14 Eylül 2026 tarihinde yayımlandı
- Senior DevOps Engineer (Azure) Türkiye14 Eylül 2026 tarihinde yayımlandı
