Data Science Leader

1 week ago


Palo Alto, California, United States Tiva's client Full time
Job Description

Job Title: Senior Data Scientist - Geospatial Expert

Job Summary:

We are seeking a highly skilled Senior Data Scientist to join our team at Tiva's client. As a Senior Data Scientist, you will be responsible for leading the development of machine learning models and techniques to improve our core capabilities in geospatial data analysis.

Key Responsibilities:

  • Develop and implement machine learning models and techniques to improve our geospatial data analysis capabilities
  • Work closely with product owners and incorporate customer feedback into our products
  • Communicate and publish research findings in various media, including internal presentations, blog posts, patents, and technical papers
  • Report on research and other deliverables to key stakeholders across the Engineering and Product Management teams
  • Work in a cross-functional team to incorporate new techniques and models into our platform
  • Implement methodologies and metrics for measuring and monitoring performance to continuously improve our capabilities
  • Write proposals for new business problems that align with our company's goals

Qualifications:

  • Must have designed, trained, and deployed machine learning models in production
  • Masters degree in a STEM field (e.g., statistics, machine learning, computer science, physics, engineering); PhD preferred
  • 5+ years of demonstrable experience working with large and noisy datasets, and particular experience with datasets that have sparsity in some dimension (e.g., spatially, temporally) would be a big plus
  • Ability to communicate complex concepts and results in a readily-understood manner to a wide audience
  • Proven ability to lead data scientists and engineers, and enable them to be successful in their role. Technical leadership experience is preferred
  • Excellent coding skills (python with a solid familiarity with NumPy, SciPy, pandas strongly preferred)
  • Expertise in machine learning, statistical modeling, and experiment design. A strong publication record in these areas is a huge plus
  • Experience with git, AWS (S3, EC2, etc.), Docker
  • Expertise in working with geospatial data and/or satellite imagery would be an asset
  • Experience working with Computer Vision and Deep Learning modeling is a plus
  • Experience working with Synthetic Aperture Radar (SAR) is a plus

Requirements:

  • Strong understanding of machine learning algorithms and techniques
  • Experience with geospatial data analysis and visualization
  • Excellent communication and leadership skills
  • Ability to work in a fast-paced environment and prioritize tasks effectively

What We Offer:

  • Competitive salary and benefits package
  • Opportunity to work with a talented team of data scientists and engineers
  • Professional development and growth opportunities
  • Flexible work environment

Keywords: data scientist, geospatial, PhD, machine learning, statistical modeling, experiment design, git, AWS, Docker, Computer Vision, Deep Learning, Synthetic Aperture Radar


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