Data Scientist
ChrysaLabs
Data Science
Posted on Jan 20, 2025
Would you like to be part of a team that can concretely mitigate climate change?
ChrysaLabs is an agricultural technology company that has developed a soil analysis solution based on spectroscopy and artificial intelligence, enabling farmers to reduce fertilizer use and increase crop yields.
Our mission is to make agriculture more sustainable, more profitable, and to facilitate the adoption of environmentally-friendly farming practices through the use of our technology.
JOB DESCRIPTION
Are you passionate about leveraging data science to drive sustainability and combat climate change? Join our innovative AgTech team dedicated to advancing soil carbon quantification using cutting-edge reflectance spectroscopy techniques. As a Data Scientist, you will play a pivotal role in harnessing data to build scalable solutions that empower growers, improve soil health, and contribute to global carbon reduction efforts. If you’re eager to combine scientific rigor with impactful product development, we’d love to hear from you!
MAIN RESPONSIBILITIES
– Data Science Operations : Perform data collection, preprocessing, and analysis of spectroscopy data, including building and maintaining data pipelines and developing machine learning models for soil carbon quantification.
– Statistical and Mathematical Leadership : Conduct statistical modeling, uncertainty quantification, and the interpretation of analytical results to ensure scientific rigor and actionable insights.
– Product Development Collaboration : Engage with cross-functional teams to scale predictive models and integrate spectroscopy data insights into large-scale soil carbon quantification products.
– Innovation and Continuous Improvement : Research and implement advanced machine learning techniques and methodologies to enhance soil carbon measurement accuracy and reduce uncertainty in predictions.
– Collaboration and Communication : Partner with agronomists, R&D, and Customer Success to align data science objectives with business goals, and effectively communicate findings to diverse stakeholders.
PROFESSIONAL REQUIREMENTS
– A university degree in computer science, information technology, software engineering, or a related field is required. A master’s degree or higher may be beneficial.
– 2+ years of experience in a data science role or equivalent.
– Ability to communicate in French and English (spoken and written)
KNOWLEDGE AND SKILLS
Technical skills
– Proficient in techniques such as domain adaptation, semi-supervised learning, soft labeling, time series analysis, clustering, decision tree learning, and artificial neural networks. Skilled in applying these methods effectively within real-world application contexts.
– Advanced knowledge of data cleaning, preprocessing, and handling both feature noise and label noise. Experienced in developing insightful data visualizations to communicate findings.
– Strong foundation in statistical techniques, including regression, Bayesian methods, hypothesis testing, and uncertainty quantification. Skilled in applying mathematical models to interpret data and validate predictions.
– Ability to rapidly develop and iterate on prototypes to test hypotheses and explore new approaches. Expertise in critically evaluating and comparing the performance of different models and techniques.
– Familiar with Agile methodologies and proficient in IT collaboration tools such as Git, GitLab, and related version control systems.
Cross functional skills
– Strong ability to communicate technical concepts and processes clearly and effectively, both in writing and verbally, particularly when preparing documentation or presenting analytical findings.
– Skilled at understanding the requirements of internal and external stakeholders, and delivering insights, models, and data-driven recommendations to support their decision-making processes.
– Familiarity with data protection regulations and best practices in data handling and security is a plus.
– Capable of adapting to changes within the team and evolving business priorities, adjusting data science methodologies and approaches to meet dynamic market and company demands.
WHY CHRYSALABS?
– “We play as a team, we win as a team.”
– A startup spirit that promotes sustainable development by helping to reduce the impact of agriculture on the environment.
– A stimulating and dynamic work environment.
– Group insurance available from the first day of employment, and a pension plan with employer participation after the probation period.
– Telecommuting, flexible working hours and work-family policies.
– Annual allowance for your well-being.
– Career development mentality embedded in our DNA. We want you to grow.
– Modern facilities, with tools TO help you do your job with ease.
– Frequent happy hours, Lunch & Learn, etc.
– Adjustable desks, plants everywhere, the best light north of Mount Royal.
– Free snacks and beverages galore!
– An excellent corporate culture that understands that without people, there would be no company.
– Horizontal, truly accessible management