Data Scientist II (6-Month Term, Potential Extension)
- Canada
Salary Range: $49.76-$67.63 per hour · Full-time
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Job details
- Pay
- Salary Range: $49.76-$67.63 per hour
- Job type
- Full-time
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- Posting language
- English
- Posted
Original job description
Salary Range: $49.76-$67.63 per hour
Term Duration: This is a 6-month temporary position, with the possibility of an extension
Metrolinx is connecting communities across the Greater Golden Horseshoe. Metrolinx operates GO Transit and UP Express, as well as the PRESTO fare payment system. We are also building new and improved rapid transit, including GO Expansion, Light Rail Transit routes, and major expansions to Toronto’s subway system, to get people where they need to go, better, faster and easier. Metrolinx is an agency of the Government of Ontario.
At Metrolinx, equity, diversity and inclusion are essential to living our values of serving with passion, thinking forward and playing as a team.
Our Marketing Customer Analytics Office is looking for a Data Scientist II to join the team. This individual will be accountable for establishing the analytical methodologies and developing and implementing models for delivering and maintaining Metrolinx ridership & revenue projection under different scenarios. Model results impacts budget and subsidy plans across the company and are regularly presented to Senior Management, MTO and the Minister’s Office for evidence-based decision making.
What will I be doing?
Leads the analytical process to predict the impact of GO & UP service levels on ridership & revenue, customer acquisition, retention and loyalty.
Trains machine learning models to analyze, categorize and forecast service change impacts
Leads the model creation, development and execution process from beginning to end
Oversees work quantifying the potential ridership and revenue impact of customer-centric business opportunities, such as the introduction of new services, the impact of capital builds, and the impact of customer programs
Designs and implements end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support business processes.
Leads analytical efforts to pinpoint opportunities that align with strategic goals, targets, and key performance indicators (KPIs); recommends data-driven solutions and establishes performance metrics to measure the impact and return on investment (ROI) of identified opportunities.
Leads projects, and provides mentorship to other analytics roles throughout the organization
Ensures best practices are disseminated to the team, and oversee the implementation of innovative and creative ways to source and integrate data or tools to continually advance Metrolinx’s modeling and analytical capability
Create AI/ML models to improve processes within Innovation and Information Technology and lead KPI analysis that identifies service quality and efficiency of delivery
Perform data engineering, including ETL, data integration, data contextualization and aggregation, to enable data science work
Conducts data extraction from relational databases (using SQL), or Hadoop environments
Crafts raw data and analysis into well-written and persuasive content, establishing recommendations and actions that will support business objectives.
Develops recommendations and oversees the implementation of the recommendations that enhance data governance, data quality and related policies
Leads Key Performance Indicator (KPI) analysis, presented monthly to SMT, to identify drivers of ridership and fare revenue and inform strategic decisions of service planning and design
What Skills and Qualifications Do I Need?
Completion of a Degree in Statistics, Applied Math, Engineering, Computer Science, or a related discipline – or a combination of education, training, and experience deemed equivalent
Demonstrated progressive experience in data mining, statistical analysis, and/or predictive analytics. Experience with establishing revenue models in a progressive environment.
Advanced knowledge and working experience with SQL, Python, PySpark / SparkR, ETL, Tableau, Power BI with distributed databases and complex data sets
Statistical analysis (hypothesis testing, A/B Test analysis, etc)
Predictive and prescriptive modeling (understanding the future / forecasting / advice on possible outcomes)
Demonstrated applied machine learning modeling experience
Proficient in leveraging Microsoft Azure for data handling, analysis and visualization
Proficient in integrating large and disparate datasets using python
Proficiency in MS Office (Outlook, Word, Excel, PowerPoint, etc.)
Strong problem solving and critical thinking skills
Has a passion for continuous learning, and identifies best practices to help increase ridership and revenue
Don’t Meet Every Requirement?
If you’re excited about working with Metrolinx but your past experience doesn’t quite align with every qualification of this posting, we encourage you to apply. You just might be the right candidate for this or other roles. We are always looking for great talent to join our team.
We invite all interested individuals to apply and encourage applications from members of equity-deserving communities, including those who identify as Indigenous, Black, racialized, women, people with disabilities, and people with diverse gender identities, expressions and sexual orientations.
Accommodation:
Metrolinx is an equal opportunity employer and committed to a diverse and inclusive workforce. We are also committed to offering reasonable accommodation to job applicants in accordance with applicable legislation. If you require assistance or an accommodation at any point during the hiring process, please contact us at: 416-202-5601 or email hr.recruitment@metrolinx.com.
Application Process:
All applicants must be legally entitled to work in Canada. Metrolinx will be using email to communicate with you for all job competitions. It is your responsibility to include an updated email address that is checked daily and accepts emails from unknown users. As we send time-sensitive correspondence, we recommend that you check your email regularly. If no response is received, we will assume you are no longer interested in pursuing the opportunity. Please be advised that a Criminal Record Check may be required of the successful candidate.
Should it be determined that any background information provided is misleading, inaccurate or incorrect, Metrolinx reserves the right to discontinue with the consideration of your application.
We thank all applicants for their interest, however, only those selected for further consideration will be contacted.
WE ARE AN EQUITABLE AND INCLUSIVE EMPLOYER.
More about this job
Responsibilities
The Data Scientist II will develop and implement analytical models to project ridership and revenue for Metrolinx service scenarios. They will also design end-to-end data pipelines and lead KPI analysis to inform strategic decision-making for senior management.
Requirements
Candidates must hold a degree in Statistics, Applied Math, Engineering, Computer Science, or a related field. They are required to have progressive experience in data mining, statistical analysis, and predictive modeling using tools like SQL, Python, and Azure.
Skills
- Data mining
- Statistical analysis
- Predictive analytics
- SQL
- Python
- PySpark
- SparkR
- ETL
- Tableau
- Power BI
- Machine learning
- Azure
- Data governance
- Data quality
- KPI analysis
- Forecasting
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Government & Public Sector
- Transportation
- Marketing
Keywords
- Data Scientist
- Ridership projection
- Revenue modeling
- Machine learning
- SQL
- Python
- PySpark
- SparkR
- ETL
- Tableau
- Power BI
- Azure
- Data governance
- Data quality
- KPI analysis
- Predictive analytics
- Statistical analysis
- Data pipelines
- Hadoop
- Service planning
- Marketing analytics
- Forecasting
- Hypothesis testing
- A/B testing
- Data integration
- Data contextualization
- Strategic planning
- ROI analysis
- Metrolinx
- Public sector