Senior Data Scientist London, Ontario
3 weeks ago
At ASPIRE we are pioneers in the field of precision insect farming, optimizing the growth and harvesting of an underutilized natural resource in order to meet global demand for sustainable ingredients and materials. Our vision is A WORLD TRANSFORMED BY INSECT TECHNOLOGY.
Senior Data Scientist
We are currently seeking a Senior Data Scientist who thrives in a data-rich environment and enjoys deriving signal from noise. Data are collected automatically from IOT sensors, scanners, robots, and various points across the manufacturing process, and generated manually by research teams monitoring insect health and productivity. The Senior Data Scientist will help prioritize existing data sources and lead the development of new data acquisition initiatives that will further the immediate and long-term optimization of cricket mass-rearing. This will involve collaborating with cross functional teams to identify and prioritize data-driven opportunities to improve our farming practices and processes.
The Senior Data Scientist will perform exploratory analysis to identify trends, patterns and anomalies that can be used to drive business value. The flexibility of our production system enables us to make data-driven changes to our processes. Because the consequences of these decisions will be far reaching and multidisciplinary, the Senior Data Scientist is expected to be an excellent team player and communicator.
At a high level, the Senior Data Scientist is someone who can translate biological data into actionable results while recognizing the constraints and opportunities inherent in any biological system
This role reports to the CSO and will support our London, Ontario facility with a predominantly on-site work structure.
HOW YOU WILL MAKE CONTRIBUTIONS THAT MATTER
Take overall responsibility for data acquisition, processing, and archiving
Plan and document computer data file structure; develop, program, manage, and maintain complex statistical databases; supervise data entry
Formalize analysis plans and reporting specifications
Validate the reliability of measurements and identifiability of models
Lead analysis and interpretation of data
Analyze large amounts of information to discover trends and patterns
Use a variety of modeling and in silico simulation techniques to inform high-quality business decisions and reveal the next set of low hanging opportunities
Develop indices and metrics to facilitate continuous monitoring of production
Communicate processes, models, and results clearly and effectively to Management, and members of other teams at Aspire at all levels
Distil large sets of continuous data into single values that correlate well with variables of interest
Work with the research team at Aspire, as well as our academic partners, to:
Use data to identify possible interactions and efficiencies, and develop those into testable hypotheses
Develop experiment designs consistent with good data collection and processing best practices
Support data analysis and interpretation within the Science Team
Provide data context for biological experiments, and use biological data to parameterise and adjust models
Identify areas of opportunity for machine learning in a heavily automated environment, and lead implementation of these tools within the production process
Develop prediction systems and machine learning algorithms
Maintain knowledge of current and emerging trends in analytical methods and approaches and communicate new approaches to the Science Team
Participate as a valued, active, contributing member of a dynamic research team.
Other related duties and required or assigned.
WHAT YOU BRING TO THE TABLE
A graduate degree in an empirical Science, Biomedicine, Computer Science, Engineering, Math, or relevant field, PhD is an asset
Demonstrated experience analyzing and/or modeling data and communicating the results
Skills in experimental design and data interpretation
Programming Skills:
Demonstrated experience using R or Python for data manipulation, analysis, and modeling
Demonstrated competence with database queries languages like SQL
Experience working with AI and Machine Learning methods (e.g. k-Nearest Neighbors, Naive Bayes, SVM, and Decision Forests) to generate desired business outcomes
Data Analysis:
Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc
Ability to apply a range of advanced statistical techniques in support of scientific research studies and/or experiments
Experience with statistical/analytical tools like R, SPSS, JMP, MATLAB, Minitab, or SAS
Reporting and visualization
Experience generating professional data visualization using statistical tools and commercially available data visualization tools
At least 5 years experience generating reports to explain results to technical and non-technical audiences
An interest in science, curiosity about the natural world, and strong critical thinking and problem-solving skills
Able to work well under pressure, prioritize tasks, and meet external and internal deadlines.
High standards for personal deliverables
Excellent working English
GET EXCITED ABOUT ASPIRE
Aspire has assembled the largest body of research on cricket biology and production in the world.
We are pioneering the industry by customizing, synthesizing and integrating cutting-edge technologies, including an Advanced Automation ASRS, IoT-Enabled Data Accumulation, Artificial Intelligence and Selective Breeding and Biological Optimization processes.
We offer a competitive compensation package that includes paid time off, medical benefits, Maternity/Parental leave top-up, STD/LTD, RRSP and Stock Option plans.
Aspire welcomes all applicants and is committed to a diverse workforce. If you require accommodation, please advise the Human Resources Department of any required accommodation needs.
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