Do you write perfectly modular, decoupled data analysis code that always works on the first try? Do you have every modern deep learning use case and network topology memorized? Do you know everything there is to know about inferential and predictive model-building?
Of course not. Nobody does, and we get that, so let's try again.
Have you worked on lots of data science projects where you tried, failed, learned, and tried again? Are you the kind of person that your colleagues reach out to for help when they get stuck, because even if you don't know the answer, you always help them find it? Are you ready to lead a team of like-minded data scientists and analysts in delivering services that improve the lives of Ontarians?
Then you are exactly the kind of person we would love to meet here at the Data Science Deployment and Support Unit.
As a part of the Business Intelligence and Practice Division, our role is to enhance the ministry's evidence-informed decision making by applying cutting-edge data science tools and methods to integrated human services data. Our work includes:
Exploring, analysing, and deriving new insights from our data assets;
Building, deploying, and maintaining statistical and machine learning models;
Automating data preparation and analysis processes;
and much, much more
If you're ready to help us build and operationalize this vision, then we encourage you to apply!
What can I expect to do in this role?
As a Lead Data Scientist, you will:
Lead, mentor, and directly support a team of data scientists, data analysts, and research analysts in delivering data science products and services across a wide array of applications and projects
Manage foundational, cross-cutting data science projects, including projects focused on enablement, operationalization, and capacity-building
Provide strategic advice, guidance, and supports to ministry leadership to build and maintain data science functions
Serve as a ministry-wide expert to directly support your colleagues in their data science work and in growing data science knowledge, capacities, and culture
How do I qualify?
Technical Knowledge and Expertise:
expert-level knowledge and experience with tools and technologies associated with data science, such as deployment platforms, version control systems, and business intelligence/dashboarding tools.
expert-level knowledge and experience working with at least one data science programming language (e.g. Python, R, Scala) to explore, understand, and build analytic models from data assets of varying size, type, and quality.
knowledge of data management principles, technologies, and best practices for working with high-volume structured and unstructured data.
knowledge of principles of software engineering as they apply to data science models in production environments.
Analytics Knowledge and Expertise:
expert-level knowledge and experience applying data science approaches, methods, and techniques for descriptive, exploratory, and predictive analytics.
knowledge and experience in applying machine learning approaches, methods, and techniques for supervised and unsupervised applications.
knowledge of mathematical foundations of common data science modelling approaches.
the ability to learn public sector policy and program research, development, and analysis principles, practices and methods.
experience providing advice, guidance, and coaching to colleagues working on analytics or data science projects.
experience providing advice and guidance to senior management on capacity-building, project portfolio management, and strategic planning.
Communication, Consultation and Negotiation Skills:
expert-level knowledge and experience in data storytelling and communication through different mediums – for example, dashboards, briefings, reports, and slide decks.
experience communicating complex technical concepts to non-technical colleagues, particularly to support training and growth.
consultation, consensus-building and networking skills to maintain strong relationships with internal and external stakeholders.
persuasion and influencing skills to convince stakeholders of project relevance and necessity.
negotiation, conflict management and consensus-building skills to resolve contentious issues, maximize team/stakeholder contribution, achieve consensus, and produce required deliverables.
Project Management Skills:
experience working on projects with diverse project teams and stakeholder groups as well as competing priorities.
knowledge of structured project management approaches such as PMBOK, Agile, etc.
the ability to learn project portfolio management to guide and ensure completion of multiple concurrent projects.
1 Temporary, duration up to 18 months, 315 Front St W, Toronto, Toronto Region
Association of Management, Administrative and Professional Crown Employees of Ontario
Understanding the job ad - definitions
Wednesday, January 27, 2021
W-SS-159608/21 The information that you provide for the purpose of this competition and the results from this competition may be used to fill other positions. These positions may be of various tenures including short-term assignments. Your information and the results from this competition will be retained for the purpose of filling vacancies in accordance with the applicable collective agreement or policy provisions.