Head of Analytics at StellarTech, establishing analytics unit for data - driven decisions. Leading a strategic role in a fast - scaling international tech company.
About the role
- Data Scientist creating machine-learning models for enhanced member engagement at Plusgrade. Collaborating with cross-functional teams to drive data-driven business solutions.
Responsibilities
- Responsible for designing, building, and implementing machine learning models for strategic business initiatives to ensure the solutions meet business objectives.
- Collaborate with a team of business and data professionals to plan and execute projects with best-in-class ML models and creatively apply these models.
- Utilize optimization and simulation expertise to research and recommend the best approaches for solving our business problems.
- Build pragmatic, scalable, and statistically rigorous solutions that can be applied across products and partners by developing statistical and machine learning methodologies.
- Continuously improve the models and algorithms through research, testing, and iteration.
- Elevate the data science discipline by aligning with other data scientists on best practices, automation, and standardization of all advanced analytical solutions, and end-to-end modelling processes, and offer optimizations. Drive execution through fast iteration.
Requirements
- Over 3 years of experience in developing, testing, and applying machine learning algorithms
- Proficiency in machine learning, optimization, big data, predictive analytics, time series analysis, recommender systems, reinforcement learning, and visualization tools, with a solid understanding of best practices in data science.
- Strong programming skills with SQL, Python (and/or R), and associated machine-learning packages.
- Comprehensive and solid data knowledge and skills, with a good understanding of data warehousing.
- Experience with handling large, imperfect data is an asset.
- Experience with implementing ML solutions on the cloud (e.g., Snowflake, AWS) preferred.
- Ability to communicate/present complex ideas/analysis in a concise, business-friendly manner
- Experience with ML automation and productionizing machine learning solutions is an asset.
- Natural curiosity to solve problems and find meaning in complex data sets & customer behaviour analysis.
- Strong business acumen to apply recommendations in the proper commercial context.
- Master's or equivalent experience in a quantitative field (e.g. Statistics, Math, Computer Science, Engineering or other related fields).
Benefits
- RRSP/401(k) Matching
- Comprehensive Health Plans
- Flexible Paid Time Off
- Travel Experience Credit
- Annual Wellness Credit
- Team Events
- Commuter Credit
- Work From Anywhere Program
- Parental Leave Top Up
- Adventure Pass
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Degree requirement
No Education Requirement
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