Data Scientist

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Posting Date (m/d/yy): May 9, 2024

Location: Ottawa, ON, CA

Company: Canada Post - Postes Canada

Job Requisition Id: 180824 
Business Function: Business Transformation 
Primary City: Ottawa 
Other Location(s): Wherever the successful candidate lives in Canada 
Province: Ontario 
Employment Type: Full-Time 
Employment Status: Permanent 
Language Requirement: English Essential 
Employee Class and Level: CPMGA02 
Number of Vacancies: 1 
Job Closing Date (MM/DD/YYYY): 05/23/2024

All qualified candidates will be considered however preference will be given to Indigenous people (First Nations, Metis or Inuit) or persons with a disability. This is a special measure employment equity initiative and candidates from this group who wish to qualify for preferential consideration must self-identify.

 

An eligibility list to be created for a period of twelve (12) months.

 

 

Job Description

 

The Data Scientist is responsible for the delivery of leading-edge analytical solutions and works closely with the Internal Audit team members to understand the data needs of different lines of business. The Data Scientist crafts solutions to support information-based decisions, produces in-depth analysis for key business issues and builds predictive models to improve processes and for key projects.

 

Job Responsibilities

 

Below are the main job requirements and responsibilities for the Data Scientist.

 

•    Conducts high level reviews to identify client needs, problems and opportunities alongside other team members to determine if a possible solution can be developed by Internal Audit. 

 

•    Develops Analytical Briefs that summarize the methodology to be used on specific projects highlighting key data sources, anticipated variables reviewed and expected output for the analysis.

 

•    Analyzes and creates customer use cases, including results, gaps, recommendations and is able to translate them to analytical data applications and models with a vision and documentation to implementing a solution. 

 

•    Leverages SAS and other data query tools as required to pull data from multiple sources and amalgamate into new data sets for analytical and modeling purposes and evaluates key performance metrics and evaluate trends.

 

•    Develops analytical models for data generated by a variety of applications and products; Builds analytics applications and visualizations.

 

Job Responsibilities (continued)

 

•    Performs data mining tasks, such as classification, regression, clustering, recommendations, and text analysis.

 

•    Builds, evaluates, and improves various algorithms at the core or existing or new data driven products. Continuously identifies opportunities and solutions to better meet business needs.

 

•    Effectively communicates the business and technical benefits of the analytic solution to both business and technical audiences.

 

•    Develops and implements various types of predictive models, segmentation strategies, contact management strategies, multi-channel offer strategy, data mining analyses, and performs research and development regarding new innovative analytic techniques to drive top line and bottom-line growth.

 

•    In some cases, manages junior analysts, assigns and approves and certifies work, and provides coaching and development opportunities to broaden skill set and experience. 
 

Qualifications

 

Education


•    Completed post-secondary education in a related field (Math/Statistics, Economics, Engineering), graduate level preferred

 

 

Experience


•    3 to 5 years of relevant analytics experience


•    2 or more years’ experience in a supervisory capacity


•    Experience with SQL, Python, AWS, Teradata, Teradata Studio preferred


•    Significant experience working with methodologies such as predictive modeling, profiling, segmentation forecasting, operations research, and data mining


•    Broad experience in business management, marketing, planning and finance, operation and project management, intimate knowledge of cross-enterprise functions and operations 


•    Demonstrated analytical experience in a marketing, operations, or digital environment

 

Other Candidate Requirements


•    Demonstrated ability to build an analytical plan based on a business issue (i.e., data needed, methods used, model type needed, etc)


•    Knowledge of IT processes and infrastructure required to support business intelligence and analytics
 

Other Information

 

Safety Sensitive Positions
This position may be considered a Safety Sensitive position and has additional requirements under Canada Post's Substance Use Policy. 


Employment Equity

Canada Post will represent Canada’s diversity and provide a safe and welcoming workplace that embraces and celebrates our differences. We are committed to employment equity and encourage applications from women, Indigenous People, persons with disabilities and visible minorities.

Disability is defined as a persistent or episodic physical, sensory, or mental health condition and/or functional limitation. Disability includes both visible and hidden conditions and/or limitations that may impact vision, hearing, mobility, flexibility, dexterity, pain, learning, developmental, mental/psychological, and memory.
 

Conflict of Interest
The Conflict of Interest Policy prohibits employees from hiring, supervising or reporting to, directly or indirectly via the reporting hierarchy, their immediate family or close personal relations. Should you feel that you may be in an actual or potential Conflict of Interest in regard to this job opportunity, you must communicate with the designated Human Resources representative.

 

Accommodation

Canada Post is committed to providing an inclusive and barrier-free work environment, starting with the hiring process. If you are contacted by Canada Post regarding a job opportunity, please advise if you have any restrictions that need to be accommodated.  All information received in relation to accommodation will be kept confidential.

 

Important Message
Your application must clearly demonstrate how you meet the requirements as Canada Post cannot make assumptions about your education and experience. We thank all those who apply. Only those selected for further consideration will be contacted.

 

Our signature behaviours 

Make the call – We’re empowered to make decisions, respectfully challenge the status quo, and support others to do the same.
Know the destination– We understand Canada Post’s strategy and goals and how we contribute to them, and we move forward with open minds when exploring new approaches. Deliver for others – We take pride in doing our personal best, demonstrate care for others, and support and encourage them to reach their potential.  
Ignite our pride– We play a role in making Canada stronger by celebrating who we are, the communities we service, and issues that matter.


Our values 
Our Values have three dimensions: “We matter as individuals, We matter to one another, We matter to our country”
TRUST                  
I earn the trust placed in me every day, and I trust that my safety and well-being are everyone’s top priority. 
We do our best work when we trust each other. 
We value the trust Canadians have in us, and understand it is earned with every decision and interaction. 
RESPECT
I understand respect is the foundation of a successful workplace.              
We respect each other as colleagues and treat each other as we would like to be treated.               
We respect our country and the communities we serve, and understand we have a responsibility to be a positive force for change.
DELIVER
I challenge myself to safely deliver every day because what I do matters.
We are a network of people, united by what we accomplish and deliver together.
Delivering a stronger Canada for Canadians is at the heart of what we do

 


Job Segment: Database, Scientific, R&D Engineer, Data Mining, Research Scientist, Engineering, Technology, Science

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