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Data Scientist

Aquatic Informatics Vancouver, British Columbia Full-Time
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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

You will become an integral member of the team researching and operationalizing algorithms and models for processing water and other environmental data. Working in an Agile scrum team, you will be exposed to the breadth of data science activities, including hypothesis definition, data wrangling and exploratory data analysis, model development and validation, and production deployment and debugging test and customer-reported issues.


Masters or PhD in data science, computer science/engineering, statistics, or a related quantitative discipline. 2+ years of hands-on experience in applied machine learning, predictive modeling and data analysis. Solid understanding of mathematical concepts and techniques including: time series analysis, regression modeling, forecasting, and machine-learning. Experience with at least one scientific language (Python, R, Matlab) and knowledge of software design principles. Passion for data - thrive on using data to solve challenging real-world problems. Life long learner - incessantly inquisitive about emerging research and technology. Excellent English communication skills, both verbal and written.


Experience with python packages and frameworks including pandas, NumPy, scikit-learn, TensorFlow, and PyTorch. Background in environmental science. Experience with data visualization. Experience deploying data science solutions in production. Experience with AWS or other cloud services and cloud technologies.

Recommended skills

Scikit Learn
Data Science
Data Visualization
Data Analysis
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