Senior Methodologist

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Are you a data scientist looking to make a real impact in the justice sector? Do you have a passion for problem-solving and enjoy learning and applying new analytic techniques? Are you interested in collaborating with a like-minded team of data scientists and research analysts?

Then you are the exact type of person we are looking to join our methodology team.

In the Analytics and Evidence Branch, our role is to use data to advance evidence-based understanding and decision-making in the justice sector. Our work includes:
• Examining the impact of policy, legislative and external environmental changes, and designing performance measurement frameworks and analytic plans for new and existing initiatives.
• Leading and providing overall practice expertise to the ministry's data science capabilities.
• Employing emerging techniques, to provide new insight and uses of information.

If you're ready to help us build this vision, then we encourage you to apply!

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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 the OPS 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's Human Rights Code. Refer to the "How to apply" section if you require a disability-related accommodation.

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What can I expect to do in this role?

In this role, you will:
• Apply a range of complex data science/machine learning/statistical science techniques to uncover patterns, trends and anomalies in large scale data
• Develop statistical and machine learning models and automate processes to cleanse, integrate and evaluate large data sets from multiple disparate sources
• Apply advanced mathematical and statistical concepts and theories to query, manipulate and manage large data sets
• Utilize appropriate statistical data analysis, predictive modeling, and simulation tools to develop new predictive tools, including factor analysis, cluster analysis, similarity analysis, partial linear regression, classification techniques and other analytical methodologies
• Lead/participate in data science/machine learning/statistical science projects
• Assess potential usefulness and validity of new statistical approaches and data sources
• Develop briefing material and responses based on statistical analysis to information requests, inquiries from senior management (Deputy Minister and Assistant Deputy Minister Offices), senior political officials (e.g. Minister's Office) and corporate agencies (e.g. Treasury Board)
• Design visualizations, interactive graphics, dashboards and other products to communicate key analytical observations and insights, emphasizing clarity and accuracy of methodologies and degree of statistical support for conclusions
• Provide expertise on mathematical, statistical and machine learning concepts for the broader branch analytics team
• Identify and evaluate a wide range of existing and emerging methods, models, and algorithms
• Provide expertise and advice to the development of new methodological processes and tools, and apply innovative approaches to streamline analytical work
• Participate on ministry, inter-ministry and inter-governmental committees and working groups

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How do I qualify?

Technical Knowledge

You have:
• Knowledge of data science, machine learning, mathematics, and statistical analysis methodologies, processes and procedures, and data mining and statistical modeling techniques in both classical statistical frameworks (frequentist, Bayesian) and machine learning frameworks (Tensorflow, PyTorch, Scikit-Learn, etc) to conduct analysis, identify trends, patterns and relationships in data, determine appropriate statistical tools for analysis/modeling, as well as interpret findings and present applications and implications of results
• Knowledge of business analysis techniques (e.g. Six Sigma) to find opportunities for the application of quantitative analytics
• Knowledge of prescriptive and predictive analytics, methodologies and techniques to analyze non-rectangular data and best practices to inform and influence short/long-term Ministry strategic priorities, policy and program development
• Ability to apply principles and application of causal inference techniques such as Instrumental Variables to isolate cause-and-effect relationships from program performance data
• An understanding of government and Ministry mandates and strategic priorities, as well as the scope of justice-related programs and policies to conduct analysis for evidence-based decision making and develop strategies, policies, programs, and initiatives

Analytical and Problem-Solving Skills

You can:
• Identify, evaluate, and implement a wide range of statistical and machine learning methods, models, and algorithms to develop more accurate, complete, objective and anticipatory analysis to guide decision making
• Provide direct support as well as general advice and guidance to the Ministry in ensuring methodological rigour of data science and analytics approaches
• Assess, ingest, integrate and analyze large-scale and varied data assets generated by disparate applications and processes

Performance Measurement and Project Management

You have:
• Knowledge of performance measurement principles and methods (e.g. logic modelling or benefit realization mapping), including strategic planning, monitoring, and reporting cycles to evaluate program or organizational performance using financial and non-financial measures and identification of evaluation factors, metrics, and outcomes
• Project management skills to plan, strategize and lead/participate in assigned projects/ studies from concept to implementation/recommendations

Consultation and Communication Skills

You can:
• Present highly complex methodological and statistical information to internal/external stakeholders
• Collaborate and exchange information concerning data gathering and data quality, discuss issues and support coordinated operations and projects
• Communicate key issues, explain critical analysis, liaise with branch staff, and contribute to internal capacity-building and training
• Develop complex documents/reports to support statistical and data analysis, prepare correspondence, reports, presentations, briefing materials and other program-related documentation
• Build networks and partnerships with other ministries and jurisdictions and develop effective linkages for consultations and projects

Computer Skills

You have:
• High proficiency with data science and statistical analysis environments (e.g. R, Python, SAS, STATA, MATLAB)
• Proficiency with data storage and retrieval environments (e.g. *SQL, NoSQL)
• Proficiency with data visualization techniques and business intelligence software programs (e.g. Excel, Power BI, Tableau) to synthesize complex analytical results into pictorial or graphical format and identify areas of improvement
• Proficiency with computer software programs including word processing, spreadsheets and database packages to assess data, conduct analysis and prepare reports and presentations

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Additional information:

Note:

• In accordance with the Ontario Public Service (OPS), Employment Screening Checks Policy (ESCP), the top candidate(s) may be required to undergo a security screening check. Refer to the above to determine the screening checks that are required for this position.
  
  Required security screening checks along with your written consent, will be sent to the Transition and Security Office (TSO), Corporate Talent Programs Branch, Talent and Leadership Division to evaluate the results. If applicable, the TSO, with your written consent, will request and obtain any additional employment screening checks that were not obtained directly by you.
  
  A record under the Criminal Code and/or other federal offence record(s) does not automatically mean you will be ineligible for the position. The employment screening check(s) will only be reviewed and evaluated by the TSO for the purpose of making a security clearance decision. The details of an individual's employment screening check(s) will be considered in specific relation to the duties and responsibilities of the position being filled. Employment screening check records will be maintained by the TSO and kept strictly confidential.
• 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.
• T-AG-224743/24(3)

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How to apply:

1. You must apply online.
2. Your cover letter and resume combined should not exceed five (5) pages. For tips and tools on how to write a concise cover letter and resume, review the Writing a Cover Letter and Resume: Tips, Tools and Resources.
3. Customize your cover letter and resume to the qualifications listed on the job ad. Using concrete examples, you must show how you demonstrated the requirements for this job. We rely on the information you provide to us.
4. Read the to make sure you understand this job.
5. OPS employees are required to quote their WIN EMPLOYEE ID number when applying.
6. If you require a disability related accommodation in order to participate in the recruitment process, please Contact Us to provide your contact information. Recruitment services team will contact you within 48 hours.

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.

All Ontario Public Service external job advertisements are posted in English and French. To confirm the language requirements of a job, check the "language of position" information at the top of each job ad. For all positions, candidates will be assessed in English, the business language of the Ontario Public Service. For English/French designated bilingual positions, candidates will also be assessed through French-language proficiency testing.

Toutes les offres d'emploi externes de la fonction publique de l'Ontario sont affichées en anglais et en français. Pour connaître les exigences linguistiques, vérifiez les renseignements sur la " langue du poste " figurant dans le haut de chaque offre d'emploi. Pour tous les postes, l'évaluation des candidates et candidats se fera en anglais, la langue usuelle de la fonction publique de l'Ontario. En ce qui concerne les postes désignés bilingues, la maîtrise du français des candidates et candidats sera également évaluée.

The Ontario Public Service is an inclusive employer.
Accommodation is available under the Ontario's Human Rights Code .