Data Scientist, Analytics (Remote, Canada)

Data Scientist, Analytics (Remote, Canada) Events in recent years have made us all too familiar with the havoc that natural disasters can wreak, and the increasing frequency and intensity with which they are occurring. Despite record levels of losses, conventional methods of risk modeling continue to paint at best an incomplete picture of these threats. ZestyAI [http://zesty.ai/] uses novel data gathering and data science methods to produce higher quality information about the risks to property from catastrophes like storms and wildfires. While AI alone may not be able to thwart these disasters, it can help us become more prepared for them, and ultimately that will lead to better outcomes. As a Data Scientist, Analytics, you will work closely with product, engineering, and machine learning teams to apply data science to complex product and business problems.You will use diverse data sources to evaluate product performance, generate actionable insights, and support evidence-based decision-making across ZestyAI’s products.You will also help establish the analytical processes, monitoring frameworks, and best practices needed to maintain product quality and scale the organization. You thrive in a collaborative, creative environment that moves fast and are comfortable implementing structures and processes to help the company scale. The Opportunity: * Translate product management, engineering, and business questions into structured analytical approaches, applying appropriate statistical, experimental, and data science methods to measure product performance and guide decision-making * Champion data quality of ZestyAI data products * Lead product monitoring and quality assurance by designing and maintaining dashboards and KPIs * Develop automated ETL and data workflows * Iterate rapidly on everything; all of the above happens in a fast-paced business-driven environment that you must be comfortable with What You Bring to the ZestyAI [http://zesty.ai/] Team: * BA / BS degree in Math, Physics, Engineering, Computer Science, or Economics * MS or Ph.D. is certainly a bonus * 2–3 years of experience in analytics, data science, or related roles, including experience building data workflows, defining metrics, and developing dashboards or monitoring tools * Strong organizational and management skills with past experiences implementing best practices and processes * Strong analytical problem-solving skills and comfort working with ambiguous, cross-functional questions * Proficient in SQL * Proficient in programming language (Python or R) * Experience working with cloud platforms (Google Cloud Platform, AWS, etc) * Must be legally eligible to work in Canada Nice to Have: * 1 - 2 years of experience working with imagery and/or geospatial data * Working knowledge of modeling framework and performance metrics * Familiarity with, or an interest in, experimental design, causal inference, and applied statistical methods * DBT Experience * Prefect (or another workflow tool like Airflow) Experience * Data Visualization Experience Why ZestyAI [http://zesty.ai/]: * Be part of a well-funded growth-stage company * Market competitive comp and equity incentives to give you a stake in our future * Comprehensive health care plan * Flexible Time Off * An upbeat and collaborative work culture * Company-sponsored outings and offsites

Apply data science to complex product and business problems by evaluating performance and generating actionable insights. Establish analytical processes, monitoring frameworks, and automated ETL workflows to maintain product quality.

Requires a bachelor's degree in a quantitative field and 2-3 years of experience in analytics or data science. Proficiency in SQL, Python or R, and experience with cloud platforms are essential.

• Market Competitive Compensation • Equity Incentives • Comprehensive Health Care Plan • Flexible Time Off • Company-sponsored Outings and Offsites

• Data visualizationPreferred
• SQLPreferred
• Amazon Web ServicesPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• SQL
• Python
• R
• Google Cloud Platform
• AWS
• ETL
• Data Visualization
• Geospatial Data
• Experimental Design
• Causal Inference
• DBT
• Prefect
• Airflow
• Statistical Modeling
• KPI Design
• Data Quality Assurance
• Risk Modeling
• Business Metrics
• Advanced Mathematics
• Workflow Management
• Apache Airflow
• Google Cloud Platform (GCP)
• Artificial Intelligence
• Amazon Web Services
• Dashboard
• Management
• Decision Making
• Computer Science
• Extract Transform Load (ETL)
• Data Quality
• Economics
• R (Programming Language)
• Problem Solving
• Python (Programming Language)
• Key Performance Indicators (KPIs)
• Machine Learning
• Performance Metric
• Physics
• Product Engineering
• Product Management
• Quality Assurance
• SQL (Programming Language)
• Statistical Methods
• Product Quality (QA/QC)
• Data Science

• Data & Analytics
• Technology
• Science & Research
• Engineering
• Environmental & Sustainability
• Data Scientist/Analytic Consultant
• Data Analyst
• Statistical, Mathematical and Related Associate Professionals
• Business Intelligence Analysts
• Data Scientists

Minimum education

Bachelor’s degree

Minimum experience

2+ years

Posting language

English

Working hours

40 hours per week