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Danaher Corporation Aquatic Informatics - Data Scientist in London, Ontario

About Aquatic Informatics

A wholly-owned subsidiary of the Water Platform of Danaher Corporation (NYSE: DHR), Aquatic Informatics is a mission-driven software company that organizes the world’s water data to make it accessible and useful. We provide software solutions that address critical water data management, analytics, and compliance challenges for the rapidly growing water industry. Water monitoring agencies worldwide trust us to acquire, process, model, and publish water information in real time. We offer a full range of solutions, from standalone software packages for individual users, hosted software services, and enterprise-wide national systems. We serve 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 is headquartered in Vancouver, Canada and has offices in the US and Australia. 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.

If you want a meaningful role with a company that is making a real difference in one of the most important resources in the world: water, then join our energetic growing team. Help us revolutionize an industry!

About The Position

Are you passionate about science, the environment, and machine learning? Our Data and Applied Science Team is looking for an Applied Scientist to contribute to Aquatic Informatics’ suite of predictive analytics products that enable our customers to protect human health!

We are an interdisciplinary team building and operating ground-breaking solutions that bring intelligence to the management of water and energy over the entire water cycle. You will work with business leaders and domain experts to translate ambiguous business problems into testable research problems and collaborate with scientists and engineers to design, build, test, deploy, and monitor lean, scalable machine learning, statistical, and rule-based products that influence critical real-world decisions.

In this role you can make an impact within our organization with the following job duties:

  • Lead development of models of water processes and systems

  • Lead development decision and optimization frameworks to solve critical water infrastructure decision problems.

  • Code machine learning solutions for features across Aquatic Informatics’s product portfolio.

  • Build internal tools for monitoring and investigation purposes.

  • Drive the development of applied science best practices and a culture of excellence.

  • Mentor junior team members and provide technical leadership.


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

  • 5+ years of industry experience in applied machine learning, predictive modeling and data-driven applications.

  • Proven track record delivering lean solutions to complex research problems.

  • Deep understanding of research design and software design.

  • Outstanding in Python or another high-level language (Scala, C#, Java) skills.

  • Understanding of time series data as well as analysis and modeling techniques.

Preferred Skills

  • Knowledge of process control systems and/or IoT technologies.

  • Knowledge of water and/or environmental sciences.

    Danaher Corporation and all Danaher Companies are equal opportunity employers that evaluate qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The “EEO is the Law” poster is available here (http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) .