Data Scientist on the Machine Learning Team for Alberta’s Workers’ Compensation Board. Developing scalable machine learning solutions and overseeing analytics projects to improve workplace safety.
About the role
- Data Scientist developing AI and Machine Learning solutions at Achievers. Collaborating within a diverse team to enhance employee recognition experiences through data-driven insights.
Responsibilities
- Research and develop innovative AI and Machine Learning based approaches to help us deliver on our vision to make sure every employee feels valued, engaged, and knows their voice matters.
- Autonomously own part of our data strategy.
- Work in one of the world's most diverse and complex data environments.
- Bring together loosely structured datasets to find actionable outcomes that improve our customers' experience.
- Collaborate with a development team to translate their models into working software.
Requirements
- Advanced degree in Statistics, Computer science, Behavioural Science or Mathematics preferred
- 3+ years of experience analyzing product’s data, building AI/ML algorithms or making product focused impact with Data Science.
- Demonstrated experience in leveraging data for actionable insights using different techniques including AI, GenAI and ML.
- Demonstrated experience working with both structured and unstructured data and a deep understanding of ML algorithms and statistical modeling.
- Have software engineering skills (scripting is important for quick prototyping, but knowledge in OOP is crucial for the long run), fluency in Python and SQL.
- Experience with cloud platforms (e.g., GCP, BigQuery) and version control tools.
- Experience working in social networks, recommender systems and/or NLP applications
- Have deployed models to production with an engineering team.
- Excellent communication – written, conversational, presentation, and data-visualization.
- Experience with both software engineering (ideally in an agile environment and with programming best practices) and empirical science.
- Experience in an HR space (e.g. People Analytics) or knowledge of Organizational Psychology is highly desirable.
- **Bonus:**
- PhD in Machine Learning, Mathematics, Statistics, Computer Science or in another highly quantitative field
- Expertise in machine learning methods including Time series analysis, Hierarchical Bayes; and Learning techniques such as Decision Trees, Boosting, Random Forests, Deep Learning, Neural Networks
Benefits
- Rewards for your impact through our Recognition and Rewards program
- Health Benefits and Life Insurance Coverage beginning on your first day
- Parental Leave Top-up
- Employer matched RRSP contributions
- Flexible Vacation to recharge, so you can bring your best
- Employee and Family Assistance Program offering mental health, legal, and financial counselling
- Supported professional development and career growth (Linkedin Learning, mentorship)
- Employee-Led Employee Resource Groups that celebrate our diversity
- Regular events designed to build connection, belonging, and well-being
- Hybrid flexibility, with time in our beautiful Liberty Village, Toronto office
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