Job Description

Developer

: Coordinate data conversations with stakeholders, data sources Explore and analyze complex datasets to identify patterns and anomalies (SQL, Python) Develop and de-ploy machine learning models Work with business to understand logic Lead data analytics process with the product team to gather insights and identify solutions Collect, organize, ana-lyze, and present insights. Organize project steps and document questions, findings, process-es (confluence, JIRA) Proficiency in Python R BQ SQL as well as experience with data ma-nipulation, analysis Data Engineer Data Scientist Expertise in cloud technologies like Google Cloud Platform (GCP), including tools like BigQuery Data Engineer Data Scientisat combina-tion of technical expertise, hands-on experience with data science tools and methodologies, familiarity with cloud technologies, and the ability to drive impactful insights from data. Data Scientist Able to work with Data Engineer and recommend suggestion to pipeline changes for staging strategy for technical critical (pipeline performance, data model, scheduler arrange-ment for data availability) End to end hands on experience with setting up Data Pipeline using Air Flow instance Data Engineer Qualifications Bachelors or Masters degree in Economics, Statistics, Data Science,

Applied Mathematics, or a related field (PhD is a plus) 3 years of ex-perience in data modeling, preferably in a pricing or retail environment Strong experience with regression models, time series forecasting, and causal inference Proficiency in Python, R, or similar programming languages for data analysis Knowledge of SQL and experience working with large datasets Excellent communication skills with the ability to present complex con-cepts clearly 4 years of experience as a data analyst Must be able to work effectively both on teams as well as be self-motivated, task oriented and organized. Strong customer focus and obsession with quality Ability to work in a fast-paced and agile development environment Abil-ity to gather document details requirements user stories from stakeholders for a data request Able to identify source systems and data steward Able to write and run SQL queries from Data Lake, Big Query, and Vendor Master as required Validate query results to ensure it meets cri-teriarequirements Stakeholder management Experienced in JIRA, scrum ceremonies, and Ag-ile Methodology Familiarity with anomaly detection and a variety of ML models and algorithms Excellent problem-solving skills and attention to detail Curiosity and a passion for exploring and understanding complex datasets

Exp Required: 10

Job Types: Full-time, Fixed term contract

Work Location: Hybrid remote in Mississauga, ON L4W 5K4