Data Scientist - Edmonton, Canada - WCB Alberta
Description
Careers - WCB AlbertaJob Title:
Data Scientist
Job Type:
Permanent / Full time
Job Location:
Edmonton, Alberta
Data Scientist
Machine Learning Team
Edmonton, Alberta
- Permanent Full-Time Position_
Responsibilities:
- Collect and preprocess data from both internal and external sources, curating datasets for machine learning model analysis and training, encompassing data cleansing, integration, transformation, and dimensionality reduction.
- Establish comprehensive documentation, metadata, standards, and governance protocols concerning data preprocessing techniques and data asset management in the context of machine learning.
- Implement rigorous monitoring, maintenance, and reporting protocols for preexisting models, originating from both internal and external sources.
- Contribute to the agile and structured evolution of novel machine learning capabilities, encompassing iterative exploration, pilot phases, and proof of concept, preceding their enterprisewide deployment.
- Oversee a portfolio of diverse analytics projects, steering them towards delivering comprehensive endtoend solutions. This involves crafting novel insights, ensuring the robust design and upkeep of data pipelines, and transforming predictive models into prescriptive analytics for optimized business outcomes.
- Extract pivotal insights and wield influential impact on stakeholders' strategic decisionmaking and planning. Accomplish this through masterful presentations and datadriven business recommendations.
- Possess the acumen to engage directly with business stakeholders, skillfully translating their objectives into welldefined analytical problems, thereby bridging the gap between business needs and datadriven solutions.
- Receive guidance and training from the Team Lead and Machine Learning team, encompassing various methodologies, techniques, tools, and products.
- Assist fellow data scientists in the development of analytical and predictive models aimed at resolving complex business challenges.
- Collaborate closely with data science peers to assess machine learning models for AI platforms, calculate performance metrics, and offer datadriven insights.
Qualifications:
- A Bachelor's Degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Engineering, accompanied by a minimum of 1 year of handson experience in handling unstructured data.
- A Master's Degree in a quantitative field like Statistics, Mathematics, Computer Science, or Engineering, with substantial experience dealing with unstructured data sources, will be duly considered.
- Familiarity with machine learning concepts and applied research in a related field.
- Proficiency in a machine learning programming language (Python) is mandatory.
- Strong SQL skills are a fundamental requirement.
- Extensive experience in data preparation techniques, including data cleansing, wrangling, feature engineering, and a broad knowledge of ML models, including linear regression, treebased regression/classification, clustering, and factor analysis, is essential.
- Expertise with natural language processing and large language model is required.
- Strong interpersonal, leadership, and communication skills, including the ability to simplify complex technical concepts for both nontechnical audiences and executives.
- Exceptional written and presentation skills are a mandatory requirement.
- Experience with processing modeling, data modeling and governance/process documentation.
- Project management experience is an asset.
We offer competitive salaries, a comprehensive benefits package, flexible work schedules and hybrid work opportunities that foster a healthy work-life balance, supportive leadership, and a caring and collaborative work environment.
Salary:
$78,409 to $107,752 per annum (includes Market Supplement)
Workers' Compensation Board is committed to providing equal opportunity to all qualified persons without regard to race, colour, religion or national origin, gender (or gender identity or expression), age, sexual orientation, physical or mental disability.
Posted:
November 2, 2023
Closes:
November 15, 2023
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