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Manager of Data Science
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Posting Title- Manager of Data Science & Analytics, Consumer Protection BC- Position Classification- ABC Access- Union- GEU- Work Options- Hybrid- Location- Burnaby, BC V3J 1N3 CA Multiple Locations, BC CA (Primary) Victoria, BC V9B 6X2 CA - Salary Range- $80,556.20 - $92,047.14 annually- Close Date- 12/1/2024- Job Type- Regular Full Time- Temporary End Date- Ministry/Organization- BC Public Service -> Other Public Sector- Ministry Branch / Division- Consumer Protection BC- Job SummaryConsumer Protection BC is a not-for-profit regulator responsible for overseeing certain sectors and specific types of consumer transactions. Our vision is a province where all citizens of BC are empowered in their transactions as a result of rigorous and consistent business compliance and through the provision of information. We are a small team of dedicated and passionate individuals who champion our corporate values of curiosity, integrity and impact. These employee-chosen values guide the delivery of our services and can be seen in our daily work. As an equal opportunity workplace, our values guide our business activities, regulatory work, education efforts, interactions and corporate culture and are supported by the tenets of diversity, equity, inclusion and accessibility. Learn more about who we are as a regulator and employer by exploring our website, including our about us page and our careers page. Consumer Protection BC is looking for a **Manager of Data Science & Analytics** to join our team **Day in the life**: When you get to the office, you have a nice chat with your colleagues before settling in for a meaningful workday. As a self-driven individual, you spend most of your morning working on analyzing some recent inspections data looking for trends and anomalies. Building a predictive model to better inform our inspections work is your primary responsibility right now and you delight in the work. After a nice social lunch and an espresso (coffee is on us), you come back to your desk to work on internal data policies, ensuring plain language the entire organization can understand and use. This work feeds into a presentation you’re giving to all staff to bring them along on your progress. Your work in progressing the organization’s overall data literacy means employees understand better than ever how data and analysis can enhance work processes. You gather feedback and commit to reviewing their concerns and suggestions and reporting back. Before heading out, you look at tomorrow’s calendar. You’re meeting with the Inspections team to talk about their processes, a step that will continue your predictive modelling work. Although, you never know when a data analysis need comes up, so you are open to being flexible with your priorities as needs surface throughout the day. Afterall, you appreciate the ability to be involved with other departments and you are grateful for the opportunity to learn new things all the time. **Who you are**: - An information seeking problem solver who can analyze an issue, identify underlying causes and generate solutions - A team player who enjoys working with diverse teams, work groups and across an organization to achieve group and organizational goals. - A proactive planner who can establish priorities but also be flexible and adapt to different situations, information and groups of individuals. **What you will be doing**: - Using your advanced knowledge of statistics and analytical modeling to draw insights that inform strategic and operational decision-making. - Acting as the key statistical resource internally and externally with our stakeholders, including working on diverse teams or attending external meetings. - Guiding individuals, teams, and leadership in your areas of expertise to ensure work processes and procedures are effectively implemented and communicated across the organization. **We are looking for people who have**: - Post-secondary education with a focus in statistics, mathematics, data science, research or other related fields of study or a combination of education and experience. - Minimum two years’ experience in advanced analytics, complex statistical analysis, mathematical modeling, data mining, data visualization and optimization. **Are we a good fit for each other?** **Accessibility** Do you need accommodation during the interview process? Please read our information about requesting an accommodation. HOW TO APPLY TO THIS JOB - Job Category- Information Management/Information Technology
