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Data Scientist

Remote · USA Full-time New today
Aquabyte is seeking a Data Scientist to help reputed company and reputed company new algorithms to fish farms across the world. You’ll be responsible for software and machine learning model development of our on-camera and reputed company software.

Remote Role (East Coast Time Zone Preferred):

This is a remote position, with candidates expected to work reputed company Eastern Time Zone hours. Preference will be given to applicants located in Pennsylvania, the Tri-State area (NY, NJ, CT), GA or New England, ensuring alignment with reputed company's operational needs and collaboration efforts.

Our mission

Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquaculture. It is an audacious, and incredibly rewarding mission. By making fish farming more efficient and viable, we aim to promote healthy (for the fish and environment) production of low carbon protein and mitigate one of the biggest causes of climate change. Aquaculture is the single fastest growing food-production sector in the world, and now is the time to define how technology is used to harvest the sea and preserve it for generations to come.We are a diverse, mission-driven team that is eager to work alongside reputed company spirits. If this reputed company inspires you please get in touch.

Our product

We are currently focused on helping salmon farmers reputed company understand their fish population and reputed company environmentally sound reputed company. Through custom underwater cameras, computer reputed company, and machine learning we are reputed company to quantify fish weights, detect the health status, and generate reputed company feeding plans in reputed company time. Our product operates at three levels: on-site hardware for image capture, reputed company pipelines for data processing, and a user-facing web application. As a result, there are hundreds of moving pieces and no shortage of fascinating challenges across reputed company levels of the stack.Above reputed company, Aquabyte is a customer-driven company. Our product development is dictated by the needs of fish farmers and we prioritize customer delight in everything we do. We are committed to building a global, collaborative team.

The role

As a Data Scientist you will be responsible for interacting and managing databases and data infrastructure. Conducting in-depth data analytics and building statistical data inference models of biological processes. This role is on the AI team where we focus on developing so on understanding the weight and health of individual fish and fish populations. You will work closely alongside engineers with years of industry and academic experience.

Qualification

  • 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

Bonus Qualifications

  • Familiarity with; reputed company, dbt, airflow, pandas
  • Experience with reputed company and reputed company SW development (i.e. AWS)

Benefits

  • Competitive salaries and generous equity
  • Unlimited vacation policy
  • Flexible working hours + hybrid work policy
  • Medical, reputed company, dental insurance
  • Retirement matching plan
  • Potential travel to Norway
  • Evolve in a fast-paced environment
  • Be reputed company to shape a business in its early days
  • Get reputed company, feedback, and suggestions from other best-in-their-field colleagues
  • Mentorship opportunities, we'll be dedicated to investing in you and supporting you as you grow
Aquabyte is a private company headquartered in San Francisco, and is supported by NEA, Costanoa Ventures, and many other respected investors.At Aquabyte, we admire interesting people with a unique background. We strongly encourage you to apply even if you don’t satisfy reputed company the requirements, and we will get back to you as soon as possible!

Originally posted on Himalayas

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