Do you want to be part of a team that can concretely mitigate climate change?
ChrysaLabs is a company specializing in agricultural technologies that has developed a soil analysis solution based on spectroscopy and artificial intelligence allowing farmers to reduce the use of fertilizers and increase their agricultural yield.
Our mission is to make agriculture more sustainable, more profitable, and to facilitate the adoption of environmentally friendly agricultural practices through the use of our technology.
The team is growing (again!) to accommodate our strong growth! And we are currently looking for a Data Analyst who wants to evolve in a young technology company.
The data analysis team supports the company’s efforts in analyzing the performance of ChrysaLabs technology with clients and in carrying out large-scale projects for the development of new tools that enhance various soil data. The hybrid role combines the analytical skills of a data analyst with the technical expertise of a data scientist to explore soil data, provide agronomic recommendations, and develop solutions actionable by agronomists and farmers.
– Participate in the design and implementation of data analysis projects, including defining objectives, success metrics, and analysis methodology in line with the needs of other departments.
– Conduct complex data analyses, ensuring they are properly executed and interpreted, and that the results are based on sound data and analysis.
– Work closely with other departments, such as the Data Science, R&D,Customer Success,Marketing,Product departments, etc., to understand the data needs and business objectives.
– Support the management in creating presentations that showcase data using clear, concise, and useful graphs and tables with the aim of persuading (for example, presentations to current or prospective clients).
– Support the management in handling, evaluating, and interpreting data to draw conclusions for strategic thinking in support of the company’s business vision.
– Prepare reports and presentations to communicate the results of data analysis to internal and external stakeholders.
– Establish quality control processes to ensure the accuracy and consistency of the data and analyses produced by the team.
– Integrate new data into databases as needed and contribute to the development of data management, storage, and processing architecture.
– Run and configure existing predictive models on new data and report the findings to the Data Science and Customer Success teams.
– Conduct a comparative analysis by examining the differences or similarities between predictive model performance and client use cases.
– Collaborate with the data science and infrastructure teams to enhance existing data analysis tools, identify opportunities for process and performance improvements in data analysis, and foster innovation within the team by exploring new data analysis techniques, tools, and methodologies.
– Ensure that the team complies with data protection regulations and ethical best practices when collecting, using, and managing data.
– A university degree in computer science, statistics, mathematics, data science, or a related field is often required. A master’s degree or higher may be an asset.
– A minimum of 4 years of experience in a similar field.
Technical skills
– Mastery of commonly used data analysis tools and programming languages (Python mandatory), as well as data visualization tools.
– Expertise in data manipulation and transformation, including data collection, cleaning, and preparation.
– Expertise in developing advanced tools for analyzing and visualizing complex data. Knowledge in handling georeferenced data and soil science is an asset.
– Industrial experience in adapting machine learning techniques to real-world challenges (domain adaptation, semi-supervised learning, soft labeling, time series analysis, decision tree learning, artificial neural networks, etc.).
– A strong understanding of statistical concepts, machine learning, and predictive analysis.
– The ability to design analysis methodologies, develop models, and interpret results.
– The ability to simplify statistical results through concise and easily understandable presentations for internal and external stakeholders.
– The ability to showcase data through graphs and tables with the aim of convincing internal and external stakeholders.
Cross functional skills
– Excellent ability to communicate complex information clearly and understandably, both in writing and orally, particularly in the creation of reports and presentations.
– The ability to understand the needs of internal and external stakeholders, as well as to provide relevant data analyses to support their decision-making.
– Knowledge of data protection regulations and ethical best practices related to data usage is a plus.
– The ability to adapt to changes within the team and to adjust data analysis processes to the evolving needs of the company and the market.
– A startup spirit that promotes sustainable development by helping to reduce the impact of agriculture on the environment
– A stimulating and dynamic work environment. For real.
– Modern facilities, with tools TO help you do your job easily
– Adjustable desks, plants everywhere, the most beautiful light north of Mount Royal.
– Fully stocked kitchen.
– An excellent corporate culture that understood that without humans, there would be no business.
– A horizontal and really accessible management: our CEO is in the office hockey team and half of the team is blocking with our CTO (He is not worse!)
– Group insurance and pension plan with employer participation
– Career growth mindset ingrained in our DNA. We want you to grow.
– The most accommodating telecommuting, flexible schedule and work-family policies
– Annual allowance for your well-being.
– Nerf gun available for foam ball fights!
– 5 to 7 frequent, Lunch & Learn, etc.
Does this offer appeal to you? Send us your application!