Aquabyteposted 3 months ago
$130,000 - $170,000/Yr
Full-time • Mid Level
Pittsburgh, PA

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 remote position, with candidates expected to work within 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 our team's operational needs and collaboration efforts. 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 currently focused on helping salmon farmers better understand their fish population and make environmentally sound decisions. Through custom underwater cameras, computer vision, and machine learning we are able to quantify fish weights, detect the health status, and generate optimal feeding plans in real time. Our product operates at three levels: on-site hardware for image capture, cloud 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 all levels of the stack. Above all, 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.

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.
  • Collaborate closely with engineers with 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, we'll be dedicated to investing in you and supporting you as you grow

Job Keywords

Hard Skills
  • Database Management
  • Docker
  • Machine Learning
  • Python
  • SQL
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  • bRD4i8QYM jQXAGyM
  • hWgjK b3QH4ikm
  • lgGCso01e 8LyvqUIsxJlO
  • OKEYJ AkSQi6claOW
  • wNsBOetuK WvtYVnmjGcR
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