Senior Data Analyst/Scientist



Senior Data Analyst/Scientist

Toronto, Ontario  - Permanent


Job Description

This role will be reporting to the VP Engineering and will work in partnership with the Tech/Development
team, and will build and deploy advanced data capabilities to enable ingesting, engineering, and disseminating of
any data (internal, external, alternative), coupled with an advanced analytics workbench to analyze, visualize, and
model with compute power to augment human limitations. The role will work closely with the technology,
engineering, product management, and business development teams to deploy these new capabilities. The
successful candidate will have a background in a quantitative or technical field, will have experience working with
large data sets, and will have some experience in data-driven decision making. You are scrappy, focused on
results, a self-starter, and have demonstrated success in using analytics to drive the understanding, growth, and
success of a product.

Duties and Responsibilities:

Develop automation as a core capability for service delivery as an automated workforce, identify
automation opportunities for data ingestion and processing, leveraging a variety of technologies.
Communicate, present and demonstrate Data Science technologies to a wide range of audiences
including senior executives, evangelize use of new capabilities and upskill the organization (and own
team) to leverage these capabilities
Provide subject matter expertise related to data automation, analytics and visualization tools
 Build and operationalize data engineering capabilities to centrally ingest structured and unstructured
data, eliminating manual transposition to prepare data for analysis
Remain on the “leading edge” of data analytics technologies to identify new techniques and providers to
meet demand • Serve as a player-coach, working with other analytical colleagues to support multiple
stakeholders across the enterprise.
Work closely with business owners to find opportunities and serve as an ambassador for data science
Develop powerful business insights from, marketing and industrial data using advanced machine learning
techniques


Must Have Skills:

 A Masters degree in Computer Science/Data Science, related field or equivalent experience
 3 to 5 years of professional experience in data science, analytics and machine learning
 Experience With Machine Learning Frameworks, such as TensorFlow , PyTorch, Spark MLib, Theano or Caffee
 Mobility as a Service & Public Transportation experience considered as an asset
 Rewards and Loyalty experience considered as an asset
 Experience working in a Start-up environment
 Excellent verbal and written communication skills and the ability to articulate complex concepts simply and
clearly to cross-functional audiences
 Resilient and able to thrive in a fast-paced, results-driven environment with a high level of energy
techniques


Details:

Starting: ASAP