Data Scientist
Job Description & How to Apply Below
12-month term
The Opportunity At BC Ferries, data is helping shape the future of one of British Columbia's most essential transportation networks. Every day, millions of data points are generated across our vessels, terminals, customers, and operations.
We'relooking for a curious, innovative Data Scientist who is excited to turn that data into meaningful insights, predictive models, AI-powered solutions, and digital products that improve how we serve coastal communities.
As part of our Enterprise Optimization, Data & Insights team,you'llwork on high-impact initiatives that span forecasting, machine learning, artificial intelligence, digital twins, operational optimization, customer experience, and enterprise analytics. This is an opportunity to apply advanced data science in an environment where your work will influence strategic decisions, improve operational performance, and help shape the future of BC Ferries.
Ifyou'repassionate about solving complex business problems, building production-ready machine learning solutions, and collaborating with talented business and technology professionals,we'dlove to hear from you.
The Role Reporting to the Executive Director, Enterprise Optimization, Data & Insights, you add valueto the teamby key areas of oversight such as:
Assisting in collecting, processing, and analyzing large datasets to uncover insights;
Supporting the development and implementation of machine learning models and algorithms;
Collaborating with other dataexpertiseand cross-functional teams to understand business needs and contribute to data-driven solutions;
Creating data visualizations and reports to communicate findings to stakeholders;
Conducting exploratory data analysis toidentifytrends and patterns;
Maintaining data quality and integrity throughout the data lifecycle;
Supporting the establishment and maintenance of data governance practice, ensuring compliance with data policies and standards;
Staying updated with the latest trends and advancements in data science and machine learning;
Investigating approved data use cases and lead the design, research, development and delivery of data products,modelsand deliverables by collaborating directly with teams/individuals across the company;
Productionizingpredictive and descriptive machine learning models in the field of time series analysis and forecasting for demand forecasts;
Exploring, designing, and building AI prototypes to significantly improve customer experience;
Using advanced statistics to develop, build andmaintaindata models to explain subtle trends in business performance;
Working collaboratively in a multi-disciplinary team environmentestablishesand maintaining professional networks with subject matter experts;
Presenting results to senior leadership in a compelling and clear manner to drive business decision-making;
What you bring to the team Master’sDegree in Computer Science,Data Science, Statistics, Machine Learning, Artificial Intelligence, Engineering,Economicsor other related discipline
Certifications such as Microsoft Certified Azure Data Scientist Associate, IBM Data Science Professional Certificate etc.
Minimum4+years of recent and related experience in developing advanced analytics and machine learning solutions using Python, SQL, and modern data science tools
Experience building predictive models using techniques such as regression, decision trees, random forests, gradient boosting, support vector machines, principalcomponentanalysis, deep learning, and time series forecasting
Experience working with structured and unstructured data, statistical modelling, natural language processing, and advanced AI and machine learning techniques
Familiarity with cloud platforms, big data technologies, Git-based version control, and production-ready analytics environments
Strong communication and stakeholder engagement skills, with the ability to present complex analytical findings in a clear and compelling way.
Strong knowledge with relational databases & structured query language (SQL)
Experience with cutting-edge machine learning and deep learning…
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