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Senior Data Scientist

Remote in Portugal
Data Science
& 2 others

We are seeking an experienced Senior Data Scientist to join our team and help drive data-driven decision-making.

In this role, you will develop and implement advanced models, uncover actionable insights, and contribute to solving complex business challenges. You will work closely with cross-functional teams to leverage data and create innovative solutions that support organizational goals.

Responsibilities
  • Apply mathematical, statistical, and probability modeling techniques to solve business problems
  • Use specialized programming languages, tools, and techniques to extract and analyze data
  • Implement methods such as data mining, machine learning, pattern matching, forecasting, and sentiment analysis
  • Source, prepare, and clean data to ensure its quality and readiness for analysis
  • Identify and validate internal and external data sets to exploit their potential for insights
  • Develop descriptive, diagnostic, predictive, and prescriptive models to generate actionable recommendations
  • Find, acquire, and ingest new data sources to expand analytical capabilities
  • Formulate hypotheses and explore data using models and analytics sandboxes
  • Refine requirements, validate, train, and continuously improve machine learning models over time
Requirements
  • Bachelor's degree in Computer Science, Data Science, or a related field
  • At least 3 years of experience in data science roles
  • Proficiency in Python for data analysis and machine learning tasks
  • Experience with Jupyter for creating and sharing data science workflows
  • Familiarity with Snowflake for data storage and analytics
  • Hands-on experience with Docker for containerized environments
  • Knowledge of the Atlassian Suite, including Bitbucket, JIRA, and Confluence
  • Experience with AWS services for data, analytics, and machine learning, such as S3, EMR, and SageMaker
  • Strong analytical and critical thinking skills to uncover insights and solve problems
  • Effective communication skills to collaborate with stakeholders and present findings
  • Ability to adapt to new tools, techniques, and evolving data landscapes
  • High attention to detail and time management skills to handle multiple projects and deadlines
  • A natural curiosity to explore data and uncover hidden patterns
  • Innovative thinking to develop new models and approaches
  • Fluent English skills, both written and spoken, at a B2 level or higher
Nice to have
  • Experience with AWS Neptune for graph database solutions
We offer/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