Drive the development of cutting-edge machine learning models and big data analytics capabilities
Collaborate with business partners to identify opportunities for data science-driven solutions
Conduct exploratory data analysis (EDA) and refine predictive models using advanced algorithms
Present results to stakeholders, simplifying complex concepts into clear, actionable insights
Research and stay current with the latest trends in data science technologies

Requirements

Data Scientist driven by curiosity and a passion for applying a strict scientific approach
Experienced with big data sets and successfully built machine learning models
Worked with structured and unstructured data at all stages of data science
Exposure to the Machine Learning lifecycle and statistical concepts
Can learn new tools independently and quickly
Proficient in one or more statistical programming languages (i.e., Python/Pyspark)
Demonstrated experience writing complex SQL queries to extract and integrate data
Familiarity with open source libraries such as Kubernetes, Tensorflow, or PyTorch
Experience with relational databases, big data platforms, data lakes (Databricks, Spark, Snowflake, or similar), and cloud infrastructure
Can nurture relationships across teams, gaining trust to influence decisions
Professional communication skills, including translating complex concepts for different audiences

Benefits

health and wellness benefits
employer-matched RRSP savings
a performance-based bonus program
free movies
free grocery delivery

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningbig data analyticsexploratory data analysispredictive modelingstatistical programmingSQLKubernetesTensorflowPyTorchdata science

Soft Skills

curiosityscientific approachrelationship buildingtrust influenceprofessional communicationsimplifying complex conceptscollaborationindependent learning