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Senior Data Scientist

Office in Switzerland: Kanton Zurich, Zurich
Machine Learning Engineering
& 12 others

EPAM is looking for a talented Senior Data Scientist to join our team in Zürich, Switzerland.

In this role, you will collaborate with a leading banking client to design, develop and deploy AI solutions powered by Microsoft Azure. You will play a key role in building robust data pipelines, developing machine learning models and ensuring seamless integration of AI-driven insights into business processes.

We offer a hybrid work model with a mix of remote and on-site work in Zürich.

If you are passionate about leveraging cutting-edge technologies to solve complex problems and thrive in a collaborative environment, we encourage you to apply.

Responsibilities
  • Design and implement scalable data pipelines for preprocessing, wrangling and ensuring data quality and accessibility
  • Develop and deploy machine learning models using Azure Machine Learning Studio, Databricks and other Azure AI services
  • Utilize big data technologies such as Apache Spark, Hadoop and Azure Synapse Analytics to process large datasets efficiently
  • Collaborate with cross-functional teams to integrate AI solutions into business workflows
  • Ensure adherence to cloud security best practices while working with Azure infrastructure and storage solutions
  • Visualize data insights using tools like Microsoft Power BI and present findings to stakeholders effectively
  • Monitor and optimize machine learning models to ensure high performance and reliability
Requirements
  • Strong expertise with Apache Spark and Databricks for big data processing and analysis
  • Proficiency in Azure Machine Learning and Azure Synapse Analytics for AI solution development
  • Advanced programming skills in Python and SQL for data engineering and model development
  • Familiarity with Apache Hadoop and Azure Blob Storage for handling large-scale data storage and processing
  • Knowledge of Azure DevOps for CI/CD pipelines and project management
  • Understanding of Azure Security best practices for cloud-based solutions
  • Experience with MLflow for managing machine learning lifecycle
  • Proficiency in Microsoft Power BI for data visualization and reporting
  • Fluency in English is required, German is a plus
We offer/Benefits
  • 5 weeks of vacation
  • EPAM Employee Stock Purchase Plan (ESPP)
  • Enhanced parental leave
  • Extended pension plan
  • Daily sickness allowance insurance
  • Employee assistance program
  • Global business travel medical and accident insurance
  • Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
  • *All benefits and perks are subject to certain eligibility requirements

• Please note that any offers will be subject to appropriate background checks

• We do not accept CVs from recruiting or staffing agencies

• For this position, we are able to consider applications from the following:

  • - Swiss nationals
  • - EU/EFTA nationals
  • - Third-country nationals based in Switzerland with an appropriate work permit
  • - Displaced people from Ukraine who are currently in Switzerland and hold, or have already applied for, S permits