Enterprise Solutions, Inc.
https://www.enterprisesolutioninc.com/wp-content/uploads/2020/07/Enterprise-Logo-web.png
https://www.enterprisesolutioninc.com
https://www.enterprisesolutioninc.com
USD
50
65
HOUR
true
Job Description
Data Scientist
Toronto, ON M1R 0E9 Canada
Posted: 11/08/2024
2024-11-08
2025-01-07
Job Number: z5G7h3l6a1kMvyS65NP3c_YP4PcOsDpkXbuviXT9MEg=
Pay Rate: 50-65 Hourly CAD
Job Description
Job Description
- Full Stack ML acumen to conceptualize design and implement stateoftheart ML models for dynamic pricing strategies and personalized product recommendations
- Develop implement and deploy machine learning models that leverage our unique combination of user behavior and subscription data to improve consumer value
- Engineer and maintain largescale consumer behavioral feature stores while ensuring scalability and performance
- Develop and maintain data pipelines and infrastructure to support efficient and scalable ML model development and deployment
- Collaborate with crossfunctional teams Marketing Product Sales to ensure your solutions align with strategic objectives and deliver realworld impact
- Create algorithms for optimizing consumer journeys and increasing conversion and monetization
- Design analyze and troubleshoot controlled experiments Causal AB tests Multivariate tests to validate your solutions and measure their effectiveness
- Agile development mindset appreciating the benefit of constant iteration and improvement
- Focus on business practicality and the 8020 rule very high bar for output quality but recognize the business benefit of having something now vs perfection sometime in the future
- Masters Degree PhD in Machine Learning Statistics Data Science or related quantitative fields preferred
- 3 to 5 years of experience in one or more of the following areas machine learning including deep learning recommendation systems pattern recognition data mining or artificial intelligence
- Proficiency in using casual inference uplift modeling splines support vector machines lookalike modeling model stacking ensembles embeddingbased modeling etc
- Proficient in Python SQL intermediate data engineering skill set with tools libraries or frameworks such as PySpark Hadoop Hive and Big Data technologies scikitlearn pandas numpy PyTorch etc
- Experience with various ML techniques and frameworks eg data discretization normalization sampling linear regression decision trees deep neural networks etc
- Experience in building industrystandard recommender systems and pricing models
- Experience in MLOps ML Engineering and Solution Design
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