Senior Data Scientist handling AI product lifecycle for Wealthsimple. Working at the intersection of AI research and product development to create real - world impact for clients.
About the role
- Data Scientist at Warner Music Group uncovering listener behaviors through advanced statistical methods. Building predictive models and optimizing marketing campaign impact based on data-driven insights.
Responsibilities
- Build robust forecasting models across streaming, audience growth, and commercial performance. Support comprehensive forecasting efforts across deal risk, merchandise, and demand planning.
- Gather and analyze audience data to establish best practices for capturing music listening preferences. Detect anomalies and surface actionable insights from large-scale streaming and engagement data.
- Transform complex data into compelling stories via tailor-made presentations. Develop new hypothesis testing frameworks and decision-making tools for the real-time assessment of audience viewing patterns and music delivery streams.
- Partner with local affiliates, labels, international teams, and Global Technology. Collaborate closely with merchandising teams and business stakeholders to deliver critical reporting and inference.
- Interact directly with data engineering teams to identify, define, and secure the data needs required for mathematical models.
Requirements
- Master's degree (or foreign equivalent) in Statistics, Economics, Mathematics, or a highly related quantitative field.
- 2 to 6 years of professional experience in data science, analytics, or a related field (leveling will be calibrated based on tenure and technical depth).
- 2 to 6 years of hands-on experience working with R, Python, and SQL.
- At least 2 years of experience building forecasting models across streaming, audience growth, and commercial performance, including evaluating forecast accuracy and continuously improving performance through testing, backtesting, and iteration.
- At least 2 years of experience using advertising data to build marketing mix models (measuring the incremental impact of ads/campaigns using techniques like multi-linear regression and Hierarchical Bayes).
- At least 2 years of experience building targeting models, including propensity scoring and look-alike modeling, to develop actionable insights into audience behavior.
- At least 2 years of experience successfully deploying machine learning models into a production environment.
- Proven ability to bridge the gap between technical complexity and business logic, serving as a strategic partner who empowers non-technical teams and leadership to make data-driven decisions.
- At least 2 years of experience communicating complex technical concepts to non-technical stakeholders using data visualizations (e.g., matplotlib, ggplot2, or similar libraries).
Benefits
- performance based annual bonus
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Data Scientist creating market insights and predictive models for advertising sectors at Guideline. Collaborating with teams to analyze data and drive client engagement.
Team Lead, Digital Analytics managing the development and support of data analytics solutions at BCLC. Leading a team to enhance business intelligence capabilities for effective decision - making.
Senior Manager leading data initiatives for Treasury and Finance at TD. Collaborating with stakeholders for high - quality reporting and analytics.
Senior Data Scientist at Hungryroot, owning machine learning to personalize customer deliveries. Collaborates within a remote - first team to optimize data models and improve customer satisfaction.
Clinical Data Engineer joining a team focused on developing innovative medical devices. Supporting clinical research studies and data analysis to improve patient outcomes.
Data Scientist developing machine learning models and Power BI dashboards at a leading transit bus manufacturer. Collaborating across functions including engineering, quality, and supply chain.
Data Scientist responsible for driving target and incentive strategy for TELUS business customers. Engaging in data analytics and business strategy for measurable transformation.
Data Scientist quantifying credit risk and developing models at Desjardins Group in Montréal. Leading projects and providing expertise in credit risk management and quantification.
Construction Manager overseeing various data center construction projects in Canada. Responsible for execution plans, monitoring progress, and managing labor relations.