Data Scientist

Company:  Law Society of Alberta
Location: Calgary
Closing Date: 30/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
The Law Society of Alberta (“Law Society") regulates the legal profession in the public interest. In alignment with the Law Society’s vision, mission, and strategic plan, the Applications and Information (A&I) department provides Information Governance, Technology and Organizational Change Management services for the organization to both protect and enable efficient business operations. The A&I department supports three distinct but related entities: the Law Society, the Alberta Lawyers Indemnity Association (“ALIA”) and the Canadian Centre for Professional Legal Education (“CPLED”). The Data Scientist role is responsible for harnessing the power of data to enhance our regulatory efforts by designing, developing, and maintaining data solutions. The role combines the skills of data science, such as data analysis, machine learning, and visualization, with the skills of data architecture, such as data modeling, data engineering, and data governance. The role will collaborate with stakeholders across the organization to understand their data needs, provide insights, and deliver scalable and reliable data products. Key Responsibilities: Collaborating with business stakeholders to define data requirements and needs. Managing data analytics projects from requirements definition through transitioning the solution into use or operations. Analyzing organizational data to identify trends and patterns. Developing predictive models and algorithms that may assist the business to make data-driven decisions. Designing and implementing data pipelines, data warehouses, data lakes, and/or data marts using cloud-based technologies and best practices. Developing and applying data science methods, such as statistical analysis, machine learning, natural language processing, deep learning and artificial intelligence, to solve business problems and generate insights. Creating and maintaining data models, data dictionaries, data catalogs, and data quality rules to ensure data consistency, accuracy, and accessibility. Building and deploying data applications, dashboards, and reports using various tools and frameworks to communicate and visualize data findings and recommendations. Researching and evaluating new data technologies, trends, and best practices to improve data capabilities and performance. Implementing data governance processes and standards to ensure data integrity, security, privacy, and compliance. Identifying methods to protect sensitive data through robust security measures in collaboration with other members of the A&I team. Qualifications: Bachelor's degree in data science, computer science, statistics, or related discipline. At least 7 years of experience in data science, data architecture or data engineering roles. Skilled in data science techniques, such as data mining, data analysis, machine learning, natural language processing, and deep learning. Strong knowledge and experience with data architecture principles, such as data modeling, data engineering, data quality, and data governance. Ability to analyze complex data sets and derive actionable insights. Strong skills in integrating data from various sources to achieve desired outcomes of the business. Experience in designing scalable and efficient data architectures. Solid understanding of data security best practices and protocols. High proficiency in communication both verbally and in writing. Must be able to clearly present data insights to non-technical stakeholders in a clear and concise manner. Must be able to gather requirements and elicit business needs effectively and collaboratively with business stakeholders. Must be able to manage work independently including multiple competing priorities and timelines. Ability to mentor or coach non-technical users in how to use reporting dashboards or tools so that they can perform their own data analysis where possible. Expert level knowledge of Power BI is required. Knowledge of Tableau and other similar tools is also an asset. Proficiency in SQL is mandatory. Experience with Python, R, C++ or other languages is also desirable. Experience with Microsoft Dataverse, Graph and Fabric is desirable. About the Law Society of Alberta: The Law Society of Alberta regulates the legal profession in the public interest by promoting and enforcing a high standard of professional and ethical conduct by Alberta lawyers. We derive our authority from the Legal Profession Act of Alberta and set out standards through a Code of Conduct and the Rules of the Law Society of Alberta. While we do not provide legal advice on specific cases, from our unique perspective as the regulator, we actively work with members of the justice system to improve the administration of justice for all Albertans. What We Offer: Comprehensive compensation package. Work-life balance benefits that allow you to balance your career and personal commitments. Access to a free onsite gym and tenant lounge. Private Reflection Rooms to observe religious or cultural beliefs, meditate or take a mental health break. We also offer a flexible hybrid working environment. In office attendance is required on Tuesdays, Wednesdays and Thursdays with the option to work remotely on Mondays and Fridays. You are also more than welcome to continue to work four or five days in the office if that is your preference. Having multiple in-office days allows room for collaboration, social connections, mentorship and cross-departmental interaction, while remote days still allow you to manage your work-life balance effectively. Additional Information: The Law Society of Alberta values diversity in its workforce and equal access to opportunity. All inquiries and applications will be handled with the highest level of confidentiality. #J-18808-Ljbffr
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Law Society of Alberta
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