Posting Title RES O 30R - Senior Mines Data Scientist_ Amended
Position Classification Research Officer R30
Union GEU
Work Options Hybrid
Location Campbell River, BC V9W 6Y7 CA
Daajing Giids, BC V0T 1S0 CA
Fort St John, BC V1J6M7 CA
Kamloops, BC V2H 1B7 CA
Kelowna, BC V1Z 2S9 CA
Multiple Locations, BC CA (Primary)
Prince George, BC V2N4P7 CA
Revelstoke, BC V0E 3K0 CA
Smithers, BC V0J 2N0 CA
Vancouver, BC V6B 0N8 CA
Victoria, BC V9B 6X2 CA
Williams Lake, BC V2G 5M1 CA
Salary Range $88,152.35 - $100,665.30 annually
Close Date 12/7/2023
Job Type Regular Full Time
Temporary End Date Ministry/Organization BC Public Service -> Energy, Mines & Low Carb Inn.
Ministry Branch / Division Mine Audit and Strategic Services, Mines Health, Safety and Enforcement
Job Summary A great opportunity to take the next step in your careerThe Mines Health, Safety and Enforcement Division (MHSE) provides oversight of the mineral exploration and mining sector throughout the mining life cycle. The division includes the Office of the Chief Inspector; the Regulatory Management and Enforcement Branch, the Abandoned Mines Branch and the Mine Audits and Strategic Services Branch (MASS).
MASS provides cross-divisional leadership and delivery of the key mining-related continuous improvement program areas for the Ministry of Energy, Mines and Low Carbon Innovation (the Ministry): Mines Digital Services (MDS), mine audits program, and mines data management, business intelligence and reporting. MASS also provides leadership and support on corporate and other strategic initiatives for MHSE.
The Senior Mines Data Scientist is situated in the Strategy and Advisory Services Team (SAS Team) in the MASS Branch. The SAS Team works closely with the rest of the branch and other business areas across the Ministry and other government agencies to provide mining-related strategic planning, research and advisory services that contribute to continuous improvement for maintaining an effective regulatory program. This includes working across the Ministry to develop strategic plans and initiatives for data management and digital services; provide business intelligence services to the mines divisions; and work closely with MDS to support database development, sustainment, and maintenance for the suite of mining oversight digital tools.
The Senior Mines Data Scientist functions as the senior technical expert for mines data management and business intelligence for the mines divisions to drive data driven decision-making to meet our strategic and operational priorities for permitting and compliance and enforcement. You will also work closely with the SAS Team and MDS to develop data standards and data policies to ensure integrity of mining-related data resources and data products and to provide leadership in managing our information as a valuable, sustainable asset. In addition, you will collaborate with digital, design and strategic policy professionals to provide technical and methodological advice and expertise to multi-pronged strategic and digital projects. This position will lead the Mines Business Intelligence Team, including developing the program's policies and procedures.
Job Requirements: - Degree in a related field from a recognized institution (such as Data Science, Computer Science, GIS, Statistics, Mathematics, Economics, or an equivalent discipline), and four (4) years related experience; or, a diploma in a related field and five (5) years related experience; or, certification in a related field and six (6) years related experience; or, seven (7) years related experience.
- Related experience must include each of the following:
- Experience leading and coaching multi-disciplinary senior-level professionals in the development and implementation of data science projects.
- Experience identifying and solving complex business problems through applying an evolving range of data science tools and techniques and machine learning to solve complex business problems.
- Experience effectively presenting the results of complex analysis to both technical and non-technical audiences
- Experience advising senior decision-makers using non-technical language on strategic and operational business enhancements based on findings of data science projects.
- Experience designing, implementing and optimizing repeatable statistical and predictive models and algorithms at scale.
Preference may be given to those with any of the following:
- Graduate level degree in Data Science, Computer Science, GIS, Statistics, Mathematics, Economics, or an equivalent discipline.
- Experience leading project teams and managing project budgets for two (2) years or more.
- Experience in relational and/or object data modeling, data warehousing, data management principles and documenting business requirements for two (2) years or more.
- Experiencing designing and executing all data process steps, from understanding business requirements, to training and deploying models.
- Experience applying scientific methods in predictive models and natural language processing to analyze a wide variety of structured and un-structured data.
- Experience working within the natural resource sector.
Willingness statements:
- Willing to keep up to date with cutting-edge techniques in machine-learning and big data analytics and find ways to advance the organization's capabilities in analytics.
- Willingness and ability to learn new technologies on the job.
For questions regarding this position, please contact
Emily.Quinn@gov.bc.ca .
About this Position: Flexible work options are available; this position may be able to work from home a few days a week subject to an approved telework agreement.
This position can be based in a Natural Resource Sector office. The locations listed above are to assist applicants in searching for this opportunity and are not a complete list of locations.
An eligibility list may be established to fill future temporary and permanent vacancies.
Employees of the BC Public Service must be located in BC at the time of employment.
Amendment November 29, 2023: Posting closing date extended to December 7, 2023.
Working for the BC Public Service:The BC Public Service is committed to creating a diverse 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.
The Indigenous Applicant Advisory Service is available to applicants that self-identify as Indigenous (First Nations, status or non-status, Métis, or Inuit) seeking work or already employed in the BC Public Service. For guidance on applying and interviewing, please contact
IndigenousApplicants@gov.bc.ca or 778-405-3452.
How to Apply:Your application must clearly demonstrate how you meet the job requirements listed above.
Cover Letter: NO - Please do not submit a cover letter as it will not be reviewed.
Resume: YES - A resume is required as part of your application, however, it may not be used for initial shortlisting purposes.
Questionnaire: YES - You will need to complete a comprehensive questionnaire to demonstrate how you meet the job requirements. 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 how you obtained your relevant experience. The questionnaire will take approximately 60 minutes to complete.
Helpful tips, videos and more regarding the application process can be found on the Your Job Application page of MyHR. If you are experiencing technical difficulty applying, e-mail
BCPSA.Hiring.Centre@gov.bc.ca , before the stated closing time, and we will respond as soon as possible.
Additional Information:A Criminal Record Check (CRC) will be required.
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 at the bottom of the posting.
Applications will be accepted until 11:00 pm Pacific Standard Time on the closing date of the competition.
Job Category Communications, Compliance and Enforcement, Information Management/Information Technology, Leadership and Management, Natural Resource Sector, Policy, Research and Economics
Category
Government Sales and Marketing