Business Analyst/Data Scientist

Important messages

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Assessment accommodation

Duties

Working with other senior and junior data scientists and data analysts, the main duties of the position include a number of data-driven tasks such as analysis of administrative data, performance reporting, predictive modeling, risk mapping, anomaly detection, and application/algorithm development. This may includes the use of techniques such as neural networks, random forests, support vector machines, Optical Character Recognition, Natural Language Processing, and the regression model family. The incumbent is expected to develop data solutions and products, business cases, proposals, research briefings, and other material for internal purposes and management.

Work environment

The Integrity Business Analytics Division (IBAD) at Service Canada is currently looking for candidates on a full-time basis to help accelerate and maintain our data science capacity and fulfil our business objectives. Our team of analysts are responsible for providing analytic and technical support for the integrity operations of Canada’s largest programs such as EI, Old Age Security, and the Canada Pension Plan. Working closely with our stakeholders, our group applies the latest in data mining techniques to develop predictive models and other data-driven tools to ensure that the right Canadians are being paid the right benefit at the right time. This innovative, fast-paced work environment is ideal for individuals that are looking to apply data science techniques to real-world business problems.

Intent of the process

The purpose of this process is to establish a pool of qualified candidates to staff various positions. The pool could also be used to staff similar positions within Employment and Social Development Canada.

Positions to be filled: Number to be determined

Information you must provide

Your résumé.

In order to be considered, your application must clearly explain how you meet the following (essential qualifications)

EDUCATION
Graduation with a degree* from a recognized post-secondary institution with acceptable specialization in economics, sociology, statistics and data science.

Note: Candidates must always have a degree. The courses for the specialization must be acceptable and may have been taken at a recognized post-secondary institution, but not necessarily within a degree program in the required specialization. The specialization may also be obtained through an acceptable combination of education, training and/or experience.

Degree equivalency

EXPERIENCE

Experiences 1 through 3 are common to both streams (Business Analyst/Data Scientist) while Experiences 4 and 5 refers to the Business Analyst only and Experience 6 refers to the Data Scientist stream only.

*** For each, be sure to elaborate your responses on how you meet the Essential Qualifications. For example, stating that a particular activity was conducted without any explanation of how you accomplished it or your role in that activity, will typically end up not meeting the requirement. ***

Common to both streams (Business Analyst/Data Scientist)
• E1: Recent*** experience in the preparation of two of the following: research/analytical proposals, deck presentations, reports, or briefing notes to Management****
• E2: Significant** and recent*** experience conducting quantitative analysis or data-intensive research projects to develop and produce 2 of the following: reports, dashboards, business intelligence products, technical solutions, and/or data visualization products;
• E3: Significant** and recent*** experience in data manipulation and analysis using one or more of the following software: Python, SAS, or R. This includes data exploration techniques, dimension reduction methods, outlier detection, etc.;

Stream 1: Business Analyst

• E4: Significant** and recent*** experience in extracting, linking, mining and analyzing operational /program data from relational databases using one or more of the following statistical software such as SAS, SPSS, SQL, R, Python, Oracle, Cognos;
• E5: Experience in data governance activities, such as the data integrity and quality issues

Stream 2: Data Scientist

• E6: Experience developing or applying two of the following data mining techniques: decision trees, neural networks, network analytics, support vector machines, text mining, Optical Character Recognition (OCR), geospatial mapping, or Bayesian analysis.

* A baccalaureate or higher level degree, as established by educational authorities, unless the type of credential is specified in the relevant Qualification Standard.
**Significant experience is an approximately of one year of accumulated experience.
***Recent experience is experience acquired within the last 3 years.
**** Management defined as Manager-level and above

The following will be applied / assessed at a later date (essential for the job)

Various language requirements
Bilingual imperative BBB/BBB; English or French essential

Information on language requirements

KNOWLEDGE

Stream 1: Business Analyst
• K1: Knowledge of quantitative analysis techniques and methods

Stream 2: Data Scientist
• K2: Knowledge of data mining techniques and methods
• K3: Knowledge of advanced analytics and predictive modeling methodologies

ABILITIES
• A1: Ability to prepare materials and reports for senior management
• A2: Ability to analyze raw data using SAS, Python, or R
• A3: Ability to communicate effectively in writing
• A4: Ability to communicate effectively orally

PERSONAL SUITABILITIES
• PS1: Initiative
• PS2: Judgment
• PS3: Reliability
• PS4: Attention to details

The following may be applied / assessed at a later date (may be needed for the job)

ASSET QUALIFICATIONS

Stream 1: Business Analyst
• AQ1: Completion of a course or training related to data science or data visualization
• AQ2: Knowledge of HRSDC’s data partners and organizational databases
• AQ3: In-depth knowledge of SAS

Stream 2: Data Scientist
• AQ4: Graduation with a Master’s degree or PhD from a recognized university with a specialization in engineering, economics, mathematics or statistics
• AQ5: Graduation with Bachelor’s degree/diploma from a recognized university with a specialization in computer science, data science, applied mathematics, or applied statistics.
• AQ6: Completion of a course or training related to computer programming
• AQ7: Experience in applying data mining techniques or predictive modeling in an operational setting
• AQ8: Experience in applying network or geospatial analysis in an operational setting

Conditions of employment

Reliability Status security clearance

Other information

The Public Service of Canada is committed to building a skilled and diverse workforce that reflects the Canadians we serve. We promote employment equity and encourage you to indicate if you belong to one of the designated groups when you apply.

Information on employment equity

The Public Service of Canada is committed to building a skilled and diverse workforce that reflects the Canadians we serve. We promote employment equity and encourage you to indicate if you belong to one of the targeted groups when you apply.

Reference checks may be sought.

An interview may be administered.

A test may be administered.

Candidates must meet the essential qualifications to be appointed to a position.

Candidates may be required to meet the asset qualifications or the organizational needs, depending on the requirements of the specific position being staffed.

The Public Service of Canada recognizes that the diversity of its employees' population contributes to its strength and integrity. We are committed to achieving employment equity and developing a highly capable workforce that is representative of Canadian Society. We therefore encourage women (especially in non-traditional occupations), Aboriginal peoples, persons with disabilities, and members of visible minority groups to apply and declare themselves as part of one or more of the above mentioned employment Equity Designated Groups.

Acknowledgment of receipt of applications will not be sent; we will contact candidates when the screening process is completed.

Please identify clearly for which position(s) you are submitting an application.

You must provide proof of your education credentials.

Persons are entitled to participate in the appointment process in the official language of their choice.

You must indicate on your application if you require a technical aid for testing or an alternative method of assessment.

Preference

Preference will be given to veterans and to Canadian citizens, in that order, with the exception of a job located in Nunavut, where Nunavut Inuit will be appointed first.

Information on the preference to veterans

We thank all those who apply. Only those selected for further consideration will be contacted.