Job Description

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:

\xc2\xb7 Data exploration and cleaning/model development/data analysis.

\xc2\xb7 Collaboration with teams members, data engineers, MLops, project managers, stakeholders, external partners such as Google.

\xc2\xb7 Documentations/slides deck building.

\xc2\xb7 Developing production quality pipelines to automate deployment.

\xc2\xb7 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:

\xc2\xb7 Experience in Dynamic Pricing or building prediction models considering (competing) market share and growth factors.

\xc2\xb7 Telecommunications Experience.

\xc2\xb7 Bilingual (French/English).

S.i. Systems