Int. Data Scientist to with Machine Learning, Python and GCP to perform data cleansing and model development for Revenue Management projects in the telecommunications industry. - 4238
Location: Toronto (Hybrid, 3 days onsite)
Duration: 12 months (Possible extension/FTE)
Responsible for designing and developing predictive models and algorithms to analyze and interpret complex data sets. The candidate will use their expertise in statistics, machine learning, and data mining to identify patterns and insights in data, and communicate their findings to stakeholders. They also collaborate with other data professionals to develop data-driven solutions to business problems.
Project 1: Ads Rate Optimizer: automate pricing based on demand and inventory levels to maximize yield for Media Channel.
Project 2: TV Audience Predictor: Predict AMA(average minute audience) for each Conventional/Specialty TV show
Responsibilities:
· Data exploration and cleaning/model development/data analysis.
· Collaboration with teams members, data engineers, MLops, project managers, stakeholders, external partners such as Google.
· Documentations/slides deck building.
· Developing production quality pipelines to automate deployment.
· Building prediction models considering (competing) market share and growth factors.
MUST HAVES:
• Python
• GCP, BigQuery
• SQL
• Experience developing production quality pipelines to automate deployment
• Machine Learning, AI and Optimization
Nice to Have:
· Experience in Dynamic Pricing or building prediction models considering (competing) market share and growth factors.
· Telecommunications Experience.
· Bilingual (French/English).
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