Data Science Fellow
Research Officer R27
This posting is to establish an eligibility list for future permanent and/or temporary vacancies.
There are currently 3 temporary positions available until approximately January 2020.
Use your data expertise to help ask better questions and solve problems that matter
The Data Science Fellow positions provide an early-career opportunity to help the Province understand and respond to complex challenges facing citizens by applying emerging techniques and using vast and diverse data. These positions offer an entry point to government and chance to experience the value of public service and explore the prospects of a long-term career with the BC Public Service.
The Ministry of Citizens’ Services performs a dynamic, corporate leadership role in government to support the development of an innovative, modern and robust technology environment; to improve accessible and responsive services and information to citizens; and to provide enabling infrastructure for ministries and the broader public sector to transform how government works on a day-to-day basis.
Within the Office of the Chief Information Officer, the Integrated Data Division (IDD) provides leadership, corporate services, and policy development to support data-driven decision-making and innovation. The Division offers programs that enable integration, access and analysis of public sector data (Data Innovation Program and DataBC), and support cross-government analysis and capacity building (Data Science Partnerships). IDD also leads the implementation of the Province’s open data initiative and helps program areas across government connect to tech sector innovation through the Start-Up in Residence.
As a member of a multi-disciplinary team this position provides leadership in the field of data science. The position will help solve problems that matter to citizens by applying deep technical expertise and partnering with technical and policy experts, and other stakeholders. Responsibilities will include the development and implementation of data science projects that include detailed statistical analysis, data visualizations, and the algorithms that make use of diverse data types. This role includes providing specialist advice to senior ministry decision makers on the use and incorporation of data science ‘best practices’ and demonstrating the value of new approaches.
The capital of British Columbia, Victoria is a beautiful city, with beautiful beaches and harbours, and a variety of provincial parks to explore. Located on Vancouver Island, Victoria offers a bustling downtown scene and has a wide range of restaurants and entertainment venues to choose from.
The BC Public Service is an award winning employer and offers employees competitive benefits, amazing learning opportunities and a chance to engage in rewarding work with exciting career development opportunities. For more information, please see What We Offer.
The BC Public Service is committed to creating a diverse and inclusive workplace to represent the population we serve and to better meet the needs of our citizens. Consider joining our team and being part of an innovative, inclusive and rewarding workplace.
For complete details about this opportunity, including accountabilities, please refer to the attached job profile. For specific position related enquiries, please contact firstname.lastname@example.org DO NOT SEND YOUR APPLICATION TO THIS EMAIL ADDRESS. For more information about how to complete your job application, add/edit your resume and for more useful tips when applying for jobs, please refer to the Your Job Application page on the MyHR website. If you are still experiencing technical difficulty applying for a competition, please send an e-mail to BCPSA.Hiring.Centre@gov.bc.ca, before the stated closing time, and we will respond as soon as possible to assist you.
NOTE: Applications will be accepted until 11:00 pm Pacific Standard Time on the closing date of the competition.
In order to be considered for this position, your application must clearly demonstrate how you meet the education and experience as outlined below:
- Graduate degree in data science, computer science, statistics, mathematics or a related field; or, a degree in a related field with two years’ recent and related experience in a data science role.
- Experience using scientific methods through experimental design, exploratory data analysis and hypothesis testing.
- Experience designing, implementing and optimizing repeatable statistical and predictive models and algorithms at scale with diverse data types (e.g. structured, semi-structured, unstructured); machine learning experience preferred.
- Experience determining appropriate use of various problem structuring methods and statistical methods for sampling, distribution assessment, bias and error.
- Experience creating and delivering presentations for the purpose of decision making preferred.
- Experience identifying business problems and providing advice on business enhancements based on findings of data science projects.
Applicants selected to move forward in the hiring process may be assessed on the Knowledge, Skills, Abilities and Competencies as outlined in the attached Job Profile located in the Additional Information section at the bottom of the posting.
A Criminal Record Check (CRC) will be required.
Cover letter required: NO – Please do not submit a cover letter as it will not be reviewed.
Resume required: YES – A resume is required as part of your application, however, it may not be used for initial shortlisting purposes.
Questionnaire: YES (COMPREHENSIVE) – As part of the application process, you will be prompted to complete a comprehensive online questionnaire to demonstrate how you meet the job requirements. Please allot approximately 60 minutes to complete the questionnaire.
IMPORTANT: Comprehensive questionnaire responses will be used to shortlist applicants against the job requirements. Please ensure you include all relevant information about your educational accomplishments and employment history including job titles, start and end dates (month and year) of your employment, and your accountabilities and accomplishments.