Data Scientist

We are searching for talented Data Scientists to join our Finance, Analysis and Systems Support Branch to support the Employment Services Transformation project. We are growing our capacity in the data science space and need your help! This is a great opportunity to showcase your leadership and data science expertise and statistical/analytical knowledge in order to enhance the Ministry's ability to derive data insights and support system planning and decision making.

If you are ready to contribute your data science skills to improving the lives of Ontarians, we would love to hear from you!

Note: The successful candidate will have the option of working from the following satellite office locations:

- 777 Bay St, Toronto
- 55 Cedar Pointe Dr, Barrie
- 135 N Front St, Belleville
- 3155 Howard Ave, Windsor
- 132 Second St E, Cornwall
- 299 Concession St, Kingston
- 615 Pembroke St E, Pembroke
- 901 Lansdowne St W, Peterborough
- 347 Preston St, Ottawa
- 505 Park Rd N, Brantford
- 870 Richmond St, Chatham
- 119 King St W, Hamilton
- 4275 King St E, Kitchener
- 1200 Commissioners Rd E, London
- 1450 1st Avenue W, Owen Sound
- 150 Christina St N, Sarnia
- 301 St Paul St, St Catharines
- 477 Queen St E, 4th Floor, Sault Ste Marie
- 159 Cedar St, Sudbury
- 195 First Ave W, North Bay
- 5520 Hwy 101 E, Timmins
- 189 Red River Rd, Thunder Bay
- 227½ Second Ave S, Kenora

What can I expect to do in this role?

As a Data Scientist, you will work with colleagues across our division to deliver novel data science solutions to tangible, real-world problems. Just some of the things you can expect to do day-to-day include:

• Training, deploying, and maintaining statistical and machine learning models in production environments;
• Carrying out novel exploratory, inferential, and predictive analyses on complex structured and unstructured data assets;
• Creating data visualization and communication tools and telling strong data stories;
• Connecting and working with your colleagues beyond ministry lines to deliver integrated data, analytics, and data science services

We also believe strongly that data science and continuous learning go hand-in-hand, and we reflect that by offering an environment where our team can learn, grow, and apply new skills while supporting a continuous stream of value delivery to our clients.

How do I qualify?

Analytical Knowledge and Expertise:

• You have experience applying a broad variety of techniques for descriptive, exploratory, inferential and predictive analytics.
• You have knowledge of mathematical foundations of common data science modelling approaches.
• You have the ability to synthesize the big picture from disparate data sources while demonstrating strong attention to detail skills.
• You have the ability to learn public sector policy and program research, development, and analysis principles, practices and methods.

Technical Knowledge and Expertise:

• You have experience applying theories, principles and best practices in the field of data science and advanced analytics, data modelling, data mining and evidence-informed decision-making.
• You have experience working with data science programming languages (e.g. Python, R, Scala) and data querying languages (e.g. SQL, Hive, Cypher) to load, prepare, and use high variety / high volume data assets for reporting, analysis, and statistical / machine learning model development.
• You have knowledge of data/database management principles, technologies, and best practices for working with structured and unstructured data assets.

Communication, Consultation and Negotiation Skills:

• You have experience in data storytelling and communication through different mediums – for example, dashboards, briefings, reports, and slide decks.
• You have the ability to communicate complex technical concepts with clarity to non-technical colleagues.
• You have consultation, consensus-building and networking skills to maintain strong relationships with internal and external stakeholders.
• You have persuasion and influencing skills to convince stakeholders of project relevance and necessity.
• You have negotiation, conflict management and consensus-building skills to resolve contentious issues, maximize team/stakeholder contribution, achieve consensus, and produce required deliverables.

Problem Solving and Strategic Thinking Skills:

• You can investigate complex problems, challenging assumptions, and make sense of information.
• You can creatively think and propose innovative ways to look at problems by using data mining approaches on the set of information available.
• You make sure the right questions are being asked, solicit feedback, and iterate until you reach meaningful conclusions backed by solid analysis.

Project Management Skills:

• You have experience working on projects with diverse project teams and stakeholder groups and competing priorities.
• You have the ability to lead projects independently and ensure satisfactory and timely results delivery.
• You have the ability to learn structured project management approaches such as PMBOK, Agile, etc.

OPS Commitment to diversity, inclusion, accessibility, and anti- racism:
We are committed to build a workforce that reflects the communities we serve and to promote a diverse, anti-racist, inclusive, accessible, merit-based, respectful and equitable workplace.

We invite all interested individuals to apply and encourage applications from people with disabilities, Indigenous, Black, and racialized individuals, as well as people from a diversity of ethnic and cultural origins, sexual orientations, gender identities and expressions.

Visit the OPS Anti-Racism Policy and theOPS Diversity and Inclusion Blueprint pages to learn more about the OPS commitment to advance racial equity, accessibility, diversity, and inclusion in the public service.

We offer employment accommodation across the recruitment process and all aspects of employment consistent with the requirements of Ontario'sHuman Rights Code. Refer to the application instructions below if you require a disability-related accommodation.

All external applicants (including former employees of the Ontario Public Service) applying to a competition in a ministry or Commission public body must disclose (either in the cover letter or resume) previous employment with the Ontario Public Service. Disclosure must include positions held, dates of employment and any active restrictions as applicable from being rehired by the Ontario Public Service. Active restrictions can include time and/or ministry-specific restrictions currently in force, and may preclude a former employee from being offered a position with the Ontario Public Service for a specific time period (e.g. one year), or from being offered a position with a specific ministry (either for a pre-determined time period or indefinitely). The circumstances around an employee's exit will be considered prior to an offer of employment.

Remember: The deadline to apply is Wednesday, June 22, 2022 11:59 pm EDT. Late applications will not be accepted.

We thank you for your interest. Only those selected for further screening or an interview will be contacted.