Data Science Innovation Lead

3 days ago

Queenstown, New Zealand Seagate Technology Full time

About Seagate Technology

At the forefront of AI Transformation, our Data Science and Tools Development team accelerates product development by leveraging AI and Machine Learning technologies. We enhance research capabilities and drive continuous innovation.

The Ideal Candidate

We seek a highly skilled Senior Staff Data Scientist to lead data-driven projects, mentor junior team members, and collaborate with cross-functional teams. The ideal candidate will have a strong background in data science, machine learning, and statistical analysis, with a proven track record of solving complex problems and delivering actionable insights.

Key Responsibilities

  • Lead and execute data science projects from concept to deployment, ensuring high-quality deliverables.
  • Develop and implement advanced machine learning models and algorithms to solve business problems.
  • Analyze large and complex datasets to extract meaningful insights and identify trends.
  • Collaborate with stakeholders to understand business requirements and translate them into data-driven solutions.
  • Mentor and guide junior data scientists, fostering a culture of continuous learning and development.
  • Communicate findings and recommendations to both technical and non-technical audiences through reports, presentations, and visualizations.
  • Stay up-to-date with the latest advancements in data science, machine learning, and related technologies.

Requirements

  • Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
  • 8+ years of experience in data science, machine learning, or a related field.
  • Proficiency in programming languages such as Python or SQL.
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Strong analytical and problem-solving skills, with the ability to work with large and complex datasets.
  • Familiar with Apache Hadoop, Spark, and Kafka for handling large-scale data processing.
  • Excellent communication and presentation skills, with the ability to convey complex concepts to diverse audiences.
  • Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Proven ability to work collaboratively in a team environment and manage multiple projects simultaneously.

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