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