Aquatic Informatics

Senior Data Scientist (BB-F4E2E)

Found in: Neuvoo Bulk CA


Do you want a meaningful role in a company that is making a difference in the world? Do you want to be involved in one of the most important environmental resource areas today? Do you want to learn what’s involved in developing and deploying machine learning and predictive analytics solutions from colleagues with years of research and development experience? Then join our energetic and growing team and help revolutionize an industry.

About our company

Founded in 2003, Aquatic Informatics provides software solutions that address critical water data management, analytics and compliance challenges for the rapidly growing water industry. Aquatic Informatics is the trusted provider of water management solutions to over 1,000 municipal, federal, state/provincial, hydropower, mining, academic, and consulting organizations in over 60 countries that collect, manage, and process large volumes of water data.

Aquatic Informatics’ platforms include AQUARIUS analytics software for natural environments, WaterTrax compliance and electronic reporting tools for municipalities, Linko software for the management of industrial pretreatment and hauled waste records and Tokay for backflow prevention. From source water through to the receiving environment, our interconnected data management platforms drive the efficient management of water information across the water cycle to protect human health and reduce environmental impact.

Aquatic Informatics is headquartered in Vancouver, Canada and has offices in the US and Australia. We are one of the fastest-growing clean technology companies in Canada. We value independent thinking, initiative, teamwork, a relentless pursuit of quality, a playful spirit, and a sense of humour. We like smart people – IQ and EQ – who care about the environment and want to do good in the world.

About the opportunity

Aquatic informatics is looking for a Senior Data Scientist to join our growing Data Science team in our Vancouver office. Specific responsibilities of the role include:

  • Identify and translate business problems into deliverable research problems.
  • Build supervised and unsupervised learning systems to aid in identifying patterns in time series data.
  • Develop predictive models of water processes in the natural and urban environment to optimize decision making.
  • Contribute to building data science best practices on the team and a culture of excellence.
  • Collaborate with engineering teams on implementing and deploying solutions into production.
  • Build internal tools for monitoring and investigation purposes
  • Lead cross-team cooperation and mentor junior scientists.
  • Qualifications


  • Masters or PhD in data science, computer science/engineering, statistics, or a related quantitative discipline.
  • Experience

  • Proven track record leading and delivering on products and/or practical research endeavours.
  • 5+ years of industry experience in applied machine learning, predictive modeling and data analysis OR 3+ years of industry experience combined with an additional 2+ years of academic research experience.
  • Skills

  • Solid understanding of foundational statistics concepts and machine learning algorithms: linear/logistic regression, random forest, boosting, neural networks, etc.
  • Excellent software development skills (experience with the Python science stack required).
  • Outstanding English communication skills, both verbal and written.
  • Passion for using data to solve challenging, real-world problems.
  • Assets

  • Background in environmental or water science.
  • Knowledge of industrial control systems and/or IoT devices.
  • Experience with time series data.
  • Experience deploying data science solutions into production.
  • Experience with AWS or other cloud services and cloud technologies.
  • Experience with Hadoop, Spark, or similar frameworks.
  • calendar_today1 day ago

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