Machine Learning Architect

5 days ago


Queenstown, New Zealand Seagate Technology Full time

Data Science and Tools Development Team

We are a cutting-edge team at Seagate Technology, accelerating AI Transformation within Product Development. Our mission is to leverage AI and Machine Learning technologies to drive innovation and growth.

Job Description

We are seeking a highly experienced Senior Staff Data Scientist to join our team. As a Senior Data Scientist, you will lead data-driven projects, mentor junior team members, and collaborate with cross-functional teams to drive business growth and innovation.

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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