🥼[Position Filled] Data Scientist

Quantified Citizen

Quantified Citizen

Data Science
Canada
Posted on Friday, June 2, 2023
We are seeking a Data Scientist who will develop data-driven solutions to support our product, sales, leadership, and marketing teams.
An ideal candidate is adept at working with large data sets to find opportunities for optimizing product user experience as well as research study data models. Candidates are expected to have extensive experience with data mining/analysis, using a variety of data tools, building, implementing and training models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional areas.
Location
Remote
Metro Vancouver (PST) or the GTA (EST) preferred, but not required.
Timeframe
Open now 📭
Role Type
Full-time
About Us
Quantified Citizen is a Seed-stage mobile health research startup (featured on Joe Rogan) aimed at disrupting the unnecessary cost and time of clinical research by democratizing the process, and enabling anyone to design & deploy clinical grade health research studies to engaged participants who receive personalized health insights.
We launched our flagship mobile research app and have had over 51,000 iOS app installs with a 4.7 star rating. Among our initial studies, we've partnered with world-famous mycologist Paul Stamets on a UBC research ethics approved 17,000+ participant correlational study on the effects of microdosing psychedelic substances on cognitive performance and mental health. We published two papers in Nature Scientific Reports (including the #3 most downloaded paper published in 2021). We've also partnered with award-winning cinematographer Louie Schwartzberg on a 6,500+ participant Gratitude Study. Stay tuned for a variety of new public studies in development.
Help us bring health research to everyone!
About the Position
Provide high level statistical analysis of health data from research studies
Research and develop statistical learning models for data analysis
Collaborate with product and engineering teams to understand company needs and devise possible solutions
Communicate results and ideas to key decision makers
Implement new statistical or other mathematical methodologies as needed for specific models or analysis
Keep up-to-date with latest technology trends
This is a remote job, even for employees in Vancouver or Toronto. You are free to work where you work best. You will be expected to regularly overlap 2-4 hours of your workday with the Vancouver workday (PST/PDT) to interact with our core team.
What We Expect from You
3+ years of experience analyzing large datasets, in a statistical or mathematical capacity
A Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field with demonstrable practical experience is valuable
Experience writing code (Python, R, SPSS) to manipulate data and draw insights from large data sets, including tools like Jupyter, Pandas, SciPy, PySpark
Experience with advanced statistical techniques and concepts for technical analysis, identifying discrete populations in a dataset, developing summary reports, and business intelligence (regression, properties of distributions, statistical tests and proper usage, etc.)
Experience or knowledge of machine learning, including practical use-cases (clustering, random forest, artificial neural networks, etc)
Clear and actionable communication skills, verbal and written
Interest in learning and applying new technologies and techniques
Familiarity with one or more of the following are assets as well:
Statistical and data mining techniques: GLM/Regression, text mining, social network analysis, etc.
Amazon Web Services, particularly the services related to data processing, analysis or reporting
Ability to use advanced machine learning algorithms and statistics like regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
Visualization tools like Tableau, QuickSite, Power BI, D3, ggplot
Distributed computing tools like Map/Reduce, Hadoop, Hive, Gurobi
Working with Health data or with data related to regulatory compliance
Please note: Preference is given to candidates that have an interest or background in psychology (or similar), mental health, microdosing, health & wellness or what Quantified Citizen working on in general.
Hiring Statement
Quantified Citizen is an equal opportunity employer. We value diversity and do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.
Last updated: @July 28, 2021