Senior Data Scientist in Artificial Intelligence Team

As one of the largest AI teams in Europe, we work with the latest methods of machine learning (including deep neural networks), extensive data resources and appropriate computing resources. The results of our work get published, tested in international scientific contests, and deployed in products used by hundreds of millions of people worldwide.

In Samsung Ads Project we work in close collaboration with HQ in Silicon Valley on AI models generating campaign audiences for content providers. Our role is to deliver new features and enhance the whole model pipeline: from data preprocessing, through modeling, to serving output for specific campaigns.

Role and Responsibilities 

• Development of Machine Learning models for audience building and/or user profiling (research as well as production-grade code base)
• Design, set up and maintenance of data and ML pipelines with MLOps tools, including analysis, exploration and processing of various data types
• Taking ownership of technical mentoring and leading subprojects
• Contribution to project planning
• Continuous knowledge development, tracking and implementation of the latest trends
• Contribution to creation of innovative technology by means of development of prototypes, proof of concepts, scientific publications and/or patent applications
• Delivering functional and technical documentation

Technologies in use

• Python
• Airflow
• AWS
• TensorFlow
• PyTorch

Team:

• Friendly atmosphere focused on teamwork
• Wide range of trainings and a huge support in developing algorithmic skills
• Opportunity to work in multiple projects
• Working with the latest technologies on the market 
• Monthly integration budget
• Possibility to attend local and foreign conferences
• Flexible working hours 

Equipment:

• PC workstation/Laptop + 2 external monitors
• OS: Linux

Benefits:

• Private medical care (possibility to add family members for free)
• Multisport card
• Life insurance
• Lunch card
• Variety of discounts (Samsung products, theaters, restaurants)
• Unlimited free access to Copernicus Science Center for you and your friends
• Possibility to test new Samsung products

Location:

• Office in Warsaw Spire near Metro station
• Working in a hybrid model: 3 days from the office per week
• Attractive relocation package

• Excellent programming skills in Python
• 5+ years of experience in applying Data Science/Machine Learning on large scale datasets and building or maintaining ML pipelines
• Solid experience in deploying Python code for ML pipelines in production environment, especially cloud based (AWS preferred)
• Deep understanding of ML algorithms (both from a theoretical and practical perspective) with expert level knowledge of ML libraries (scikit-learn, pandas, TensorFlow, PyTorch, pyspark, etc.) or experience in ML pipelines deployment solutions proven by knowledge of related tools: AWS (e.g. Airflow, EMR, Sagemaker), PySpark
• Working experience in SQL and NoSQL databases (e.g. Snowflake)
• Good knowledge of CI/CD principles (e.g.: GitHub and GitHub Actions)
• Master level degree in Machine Learning, Computer Science, Mathematics, Physics or related fields 
• Command of English in speech and writing allowing free communication in cross-team international collaboration 

Nice to have

• PhD in Machine Learning, Computer Science, Mathematics, Physics or related fields 
• Experience in any of the following domains: recommendation systems, ads targeting, user profiling, churn prediction
• Familiarity with algorithms optimization (memory, processing speed, scalability, GPU)