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Senior Data Scientist - High Salary & Relocation to Honolulu

Oceanic Data Solutions
Honolulu
Estimated Salary
USD 160.000 – USD 220.000
Live Update
27 Juli 2026
Deadline
27 Jul 2027

Job Description

We are seeking a visionary Senior Data Scientist to join our elite team in the beautiful city of Honolulu. We offer a generous relocation package and a competitive salary package designed for top-tier talent looking to make an impact.

At Oceanic Data Solutions, we are at the forefront of big data innovation. As a Senior Data Scientist, you will drive strategic initiatives, build predictive models, and uncover insights that shape the future of our enterprise. If you are ready for a challenge and a life-changing relocation to paradise, we want to hear from you.

Responsibilities

  • Design, develop, and deploy advanced machine learning models and statistical algorithms.
  • Analyze large, complex datasets to drive business strategy and operational efficiency.
  • Collaborate closely with cross-functional engineering and product teams to define technical roadmaps.
  • Optimize existing data pipelines and infrastructure for high performance and scalability.
  • Mentor junior data scientists and contribute to a culture of technical excellence.
  • Present complex findings to executive stakeholders in a clear, compelling manner.

Qualifications

  • Master’s or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in data science, machine learning, or data engineering.
  • Expert proficiency in Python (PyTorch, TensorFlow, Scikit-learn) and SQL.
  • Experience with cloud platforms (AWS, GCP) and big data technologies (Spark, Hadoop).
  • Strong analytical problem-solving skills with a track record of delivering measurable results.
  • Excellent communication skills and the ability to translate technical concepts for non-technical audiences.

Required Skills

Python Machine Learning SQL TensorFlow AWS Data Analysis Statistical Modeling Big Data Relocation

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