|Location:||CSIS - Canada|
Define, develop and lead a data science program which identifies exploitation opportunities, and provides solutions and capabilities to address them.
Conduct research and recommend potential initiatives to analysts, and branch management and senior executive staff.
Autonomously find, enrich, transform, interpret, and exploit data to create intelligence products.
Act as a Service representative on joint projects related to data science and participate in collaborative efforts where applicable.
Provide mentorship and guidance to fellow Data Scientists and Data Exploitation Analysts, regarding intelligence analysis and associated activities pursued in response to the mandate.
Recommend new data exploitation projects in annual work plans by identifying analytical gaps and suitable solutions.
Regularly update knowledge of academic and industry data science practices and standards.
Effectively communicate and present findings to specialists, management and non-technical audiences. Clearly document methodologies employed in research and data exploitation solutions
Bachelor degree in Mathematics, Statistics, Computer Science, Computer Engineering or field of study related to data analytics and seven (7) years of related experience*
* is defined as experience in data science, data analytics or data mining. Please note that out of the seven (7) years of relevant experience required, at least four (4) years must have been gained in data science specifically.
NOTE: In addition, a higher level of education (Masters or PhD) in Data Science or a related field of study could also be recognized as relevant years of experience. The relevance of the degree will be assessed by the selection committee.
The educational program must be from an accredited learning institution recognized in Canada. If you completed a program outside of Canada you will be required to obtain proof of a Canadian equivalency at your expense from an accredited learning institution recognized in Canada.
The candidate must possess recent1 and significant2 experience in the following:
Experience performing complex data exploitation on large volumes of data to provide tactical and strategic insights directly to analysts, business owners, and decision makers.
Experience gathering requirements and identifying opportunities to apply data science towards business objectives.
Experience prototyping and developing data exploitation capabilities using Python, R, and other technologies.
Experience visualizing analytics, writing reports, producing functional notebooks, and designing and delivering presentations.
Experience working with various Big Data technologies.
Candidates must also possess recent1 and significant2 experience in at least two (2) of the following:
Experience with supervised and unsupervised machine learning.
Experience in the creation and implementation of algorithms and statistical techniques to resolve data science problems.
Experience with text analytics and natural language processing (NLP).
Experience in the design, creation, and implementation of graph analytics.
Experience with complex data processing for time series and patterns of life analyses.
1Recent experience is defined as experience acquired within the last five (5) years.
2Significant experience is defined as the depth and breadth of experience that would normally be acquired by a person in a position where the performance of these duties constitutes his or her main functions over that period of time.
A written exam will be administered. If successful, you will be invited to an interview. The exam will serve to evaluate your technical knowledge as it pertains to the position.
Communication, Initiative, Innovation/Creativity/Ingenuity, Analytical skills, Coaching
|Comments:||Salary: $85,470 to $104,030 per year (under review). Salary is commensurate with qualifications and experience. Some relocation expenses may be reimbursed by the Service.|
|Employer:||Canadian Security Intelligence Services|
|Website:||visit our website...|