Aquabyteposted 3 months ago
$130,000 - $170,000/Yr
Full-time • Mid Level
Hybrid • San Francisco, CA
Professional, Scientific, and Technical Services

About the position

Aquabyte is seeking a Data Scientist to help develop and deploy new algorithms to fish farms across the world. You'll be responsible for software and machine learning model development of our on-camera and cloud software. This is a hybrid position, and we are seeking candidates who reside in the Bay Area and can commute to our San Francisco office twice a week on Tuesdays and Wednesdays. The ideal candidate will excel in both in-person collaboration and a flexible work setting.

Responsibilities

  • Interact and manage databases and data infrastructure.
  • Conduct in-depth data analytics and build statistical data inference models of biological processes.
  • Develop understanding of the weight and health of individual fish and fish populations.
  • Work closely alongside engineers with years of industry and academic experience.

Requirements

  • BS/MS in relevant technical degree.
  • 3+ years of experience with data-science.
  • Strong coding ability; strong grasp of Python, SQL.
  • Strong database management skills.
  • Strong software engineering skills; knowledge of best practices, testing, and deployment.
  • Strong data analytics & modeling skills.

Nice-to-haves

  • Familiarity with snowflake, dbt, airflow, pandas.
  • Experience with Docker and cloud SW development (i.e. AWS).

Benefits

  • Competitive salaries and generous equity.
  • Unlimited vacation policy.
  • Flexible working hours + hybrid work policy.
  • Medical, vision, & dental insurance.
  • Retirement matching plan.
  • Potential travel to Norway.
  • Evolve in a fast-paced environment.
  • Be able to shape a business in its early days.
  • Get ideas, feedback, and suggestions from other best-in-their-field colleagues.
  • Mentorship opportunities.

Job Keywords

Hard Skills
  • Database Management
  • Docker
  • Machine Learning
  • Python
  • SQL
  • 2EzeogWl4 1YvFbE9BWNoc
  • a6xmdeLhk kYedb6uh9W5
  • EOkuqxLB m7UrC8PORTek
  • TdZmP 2RXuv4WZ
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