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Senior Data Scientist

Data Science, Python.Core, Data Analysis, SQL, Machine Learning Model Development, ML Architecture, Jupyter Notebook, Scikit-Learn, Pandas

We are looking for a highly skilled Senior Data Scientist to join our remote team and take charge of developing and implementing cutting-edge machine learning models. As a Senior Data Scientist, you will work with cross-functional teams to define and execute machine learning strategies that drive business growth and improve user experiences. If you have a strong background in data science and machine learning, we encourage you to apply for this exciting opportunity.

Responsibilities
  • Collaborate with cross-functional teams to define and execute machine learning strategies that drive business growth and improve user experiences
  • Design and develop machine learning models that solve complex business problems and improve operational efficiency
  • Implement and deploy machine learning models in production environments
  • Extract insights from complex data sets to inform business decisions and drive innovation
  • Optimize and fine-tune machine learning models to ensure enhanced performance and scalability
Requirements
  • 3+ years of experience in Data Science
  • Strong proficiency in Python.Core, Data Analysis, SQL, and Jupyter Notebook
  • Expertise in machine learning architecture and the ability to design and implement scalable models
  • Experience with machine learning libraries such as Scikit-Learn and Pandas
  • Strong analytical skills and the ability to extract insights from complex data sets
  • Experience with big data technologies such as Hadoop and Spark
  • Excellent communication and collaboration skills to work effectively with cross-functional teams
  • Fluent English language skills with an Upper-Intermediate level or higher
Nice to have
  • Experience with deep learning frameworks such as TensorFlow and PyTorch
  • Experience with cloud-based machine learning services such as AWS SageMaker and Google Cloud AI Platform
Benefits
  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn