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Data Scientist / Data Engineer

Full Spectrum

Salary not specified
Sep 11, 2025
Remote, US
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Full Spectrum partners with leading companies in MedTech to develop cutting-edge software for medical devices. Full Spectrum is seeking a curious and customer-focused Data Scientist/Engineer to support a key client project. This role blends the skills of a data engineer and a BI engineer, focusing on turning complex data into clear, actionable insights. You will be the crucial link between raw data and business decision-making.

Requirements

  • Proficiency with Tableau for creating compelling and accurate visualizations
  • Strong proficiency in SQL for complex querying and data analysis
  • Hands-on experience with the AWS cloud platform, particularly with analytical services like AWS Athena and AWS SageMaker
  • Proficiency in Python for data analysis and scripting
  • Experience with data visualization techniques
  • Experience with data pipeline development and optimization
  • Familiarity with software development best practices (e.g., version control with Git, CI/CD, etc.)

Responsibilities

  • Design, develop, and maintain insightful and user-friendly dashboards in Tableau, ensuring data is visualized effectively to answer key business questions.
  • Develop and manage curated data models and sources that are optimized for business intelligence.
  • Utilize SQL and AWS Athena to query and analyze large datasets.
  • Perform light ETL/ELT tasks as needed to prepare and cleanse data for analysis and reporting.
  • Leverage AWS services to support analytics workflows, including preparing datasets for machine learning initiatives using AWS SageMaker.
  • Act as a data subject matter expert, troubleshooting data inconsistencies and providing analytical support to business users.

Other

  • Partner with internal customers to understand their business challenges, gather data requirements, and translate them into technical solutions and analytical frameworks.
  • Excellent analytical, critical thinking, and problem-solving skills with keen attention to detail
  • Demonstrated commitment to high quality
  • Highly motivated, self-disciplined, independent and results oriented
  • Outstanding communication and stakeholder management skills, with the ability to explain complex technical concepts to non-technical audiences