Senior Data Scientist

Portugal
Permanente
Horário completo

Há 4 dias

We are seeking a highly skilled and motivated Senior Data Scientist to join our dynamic team.In this role, you will leverage advanced statistical modeling, machine learning, and data analysis techniques to uncover actionable insights, build cutting-edge predictive models, and drive business impact. This is an opportunity to work with diverse datasets, cloud platforms, and innovative tools to solve complex challenges while collaborating with cross-functional teams.ResponsibilitiesApply mathematical, statistical, and machine learning techniques to drive insights and support decision-makingUtilize tools and frameworks like TensorFlow or PyTorch for predictive and prescriptive modelingIdentify, validate, and leverage internal and external data sources to uncover patterns and opportunitiesDevelop and refine hypotheses, exploring data within analytics sandboxes and evolving models over timeImplement data manipulation and analysis using libraries like Pandas, NumPy, and Scikit-learnCollaborate with broader teams to ensure proper sourcing, cleaning, and preparation of data for analysisManage and optimize datasets within relational databases using SQL and appropriate governance practicesCreate and present compelling data visualizations using tools such as Matplotlib, Seaborn, or PlotlyContribute to the organization's data strategy by ensuring alignment with data management best practicesDeploy machine learning models into production using cloud solutions like Amazon SageMaker and EC2Coordinate with engineers and stakeholders to implement scalable solutions for data workloadsRequirementsMinimum 3 years of experience in data science, machine learning, or related fieldsProficiency in Python, with experience in libraries such as Pandas, NumPy, and Scikit-learnKnowledge of machine learning frameworks like TensorFlow or PyTorchSkills in cloud platforms like AWS, including tools such as S3 and SageMakerExperience with big data technologies like Spark, relational databases using SQL, and JupyterFamiliarity with version control systems including GitUnderstanding of natural language processing (NLP) techniques and sentiment analysis methodologiesQualifications in open-source data science tools, libraries, and frameworksExposure to data visualization best practices using Matplotlib, Seaborn, or PlotlyExperience with data governance principles, ensuring compliance and qualityNice to haveFamiliarity with Docker for containerization and deployment workflowsExpertise in Snowflake for advanced analytics and data warehousingCapability to work with the Atlassian suite, including Bitbucket, JIRA, and ConfluenceUnderstanding of simulation, complex event processing, and scenario-based analysisWe 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

EPAM Systems

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