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کد آگهی: KP4036065568
استخدام Senior Data Scientist
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گروه اسنپ | Snapp Group
در تهران
اطلاعات شغل:
نوع همکاری: تماموقت
مدرک تحصیلی مورد نیاز: کارشناسی
وضعیت نظام وظیفه: کارت پایان خدمت یا معافیت
مهارتهای مورد نیاز:
Data science
Python
SQL
NoSQL
Pytorch
پرداختها: توافقی
متن کامل آگهی:
Requirements:
- 5+ years of professional experience in a Data Scientist or Machine Learning role with a primary focus on model development.
- Demonstrated experience managing the end-to-end machine learning lifecycle in a production setting.
- Proven ability to productionize models and validate their business impact using controlled experiments like A/B testing.
- Expertise with deep learning frameworks, particularly PyTorch.
- Strong knowledge of machine learning algorithms, principles, and best practices.
- Solid foundation in statistics, including hypothesis testing, experimental design, and data interpretation.
- Strong experience with Python and excellent proficiency in SQL for data extraction and manipulation.
Duties:
- Model Development: Design, build, train, and rigorously test machine learning models (including classical ML and deep learning) to solve specific business challenges.
- End-to-End Implementation: Execute all steps of the machine learning pipeline, from initial data exploration and feature engineering through to final model deployment.
- Productionization: Work with engineering teams to successfully productionize models, ensuring they are scalable, reliable, and perform efficiently in real-time environments.
- Validation and Optimisation: Plan and execute rigorous A/B testing and other validation experiments to measure model performance and impact.
- ·Deep Learning Application: Apply and implement solutions using modern deep learning frameworks, with a strong preference for PyTorch.
- Technical Analysis: Apply advanced knowledge of statistics and machine learning theory to choose appropriate algorithms, interpret results, and ensure sound experimental design.
- Performance Monitoring: Continuously monitor the performance of deployed models, diagnose issues, and implement necessary retraining and improvements.
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یکشنبه 27 بهمن 1404، ساعت 13:32