Data Science Officer

Manitoba Hydro is consistently recognized as one of Manitoba's Top Employers! We are a leader among energy companies in North America, recognized for providing highly reliable service and exceptional customer satisfaction. Join our team of Manitoba's best as we continue to build a company that champions safety, supports innovation, and delivers on our commitment to customer service - while actively fostering a diverse, equitable, and inclusive workplace reflective of the communities we serve.

• Competitive salary and comprehensive benefits package.
• Nine-day work cycle, typically resulting in every other Monday off to support a balanced approach to work, family life and community.

Reporting to the Enterprise Data & Analytics Lead, the Data Science Officer is responsible for planning, executing, and delivering data science and advanced analytics solutions by modeling complex business problems through statistical, algorithmic, mining, and visualization techniques. The focus of this role will be in machine learning (ML), artificial intelligence (AI), modelling and associated data solution development, utilizing and enabling hypothesis-based problem analysis, data exploration and preparation, data collection and integration, and operationalization for both everyday AI (optimization) and future AI (innovation).

Further, this role will support business leaders by creating business insights, reports, and analyses to aid in the decision-making process.

The Data Science Officer is expected to be visionary and strategic with an ability to turn innovative ideas for the utility industry into real business value through an open mindset. The Data Science Officer also provides technical leadership in the development of enterprise policies and strategies to leverage ML and AI to achieve business outcomes. There is a clear expectation that ML and AI solutions will be developed and deployed using explainable, responsible and ethical practices to ensure these technologies are used appropriately and to effectively manage associated risks and biases.

Success also hinges on the ability to collaborate effectively with a diverse range of stakeholders including other Data Scientists, Data Engineers, Data Developers, Data Architects, Enterprise Architecture, Cyber Security, and Cloud Platform teams, to design and implement robust, secure, data science and advanced analytics solutions.

• Designs and conducts data analyses with the highest standard of rigor and scientific accuracy, including study design, methodology, algorithms, and statistical modeling
• Performs large-scale experimentation and builds data-driven models to identify hidden relationships between variables in large datasets and to answer business questions
• Proactively mines data sources to identify trends and patterns and generates insights for business stakeholders and senior leadership
• Leads projects that implement complex ML and AI solutions, leveraging complex and advanced tools and techniques
• Anticipates internal customers' short and long-term needs by proactively identifying Machine Learning (ML) and Artificial Intelligence (AI) opportunities; innovates for utility industry solutions and shares these opportunities with business stakeholders to validate relevance and value
• Collaborates with business stakeholders, providing consultative advice and expertise to translate complex business needs into analytics requirements to support business decisions
• Develops and maintains strong working relationships while growing utility industry knowledge to assess longer-term more strategic needs of internal customers across the organization
• Grows knowledge through developing working relationships with industry and academic contacts to research classical and cutting‑edge techniques and tools in machine learning, deep learning, artificial intelligence, statistical analysis, and visualization techniques and keep abreast of industry best practices
• Documents and mentors team members in guidelines and standards, ensuring process alignment, shares technical expertise, provides training, performs code reviews, directs the execution of their tasks, and…