Manager, Data ScienceApply: Canada - International – Remote: Full time: Posted Today: R1130755The purpose of this role is to execute the approach and strategies outlined by senior leadership, lead and manage day to day work, and manage the day-to-day communication with clients.Analytics ManagerAbout the RoleWe are looking for an experienced, hands-on Analytics Manager to build and maintain statistical models, data pipelines, and agentic decision-support solutions. This is a technical, execution-focused role involving direct coding and modeling. Success will require close collaboration with onsite and offshore team members.Collaborate with cross-functional and offshore development teams to translate requirements into technical implementation, ensuring clear handoff and shared understanding across the onsite-offshore partnership.

Establish key success metrics and translate business priorities into concrete analytical objectives.Advanced ML & Generative AI Build and maintain sales attribution and conversion models across multiple business teams, including logic for measuring overlap and channel contribution.

Support and harden AI-driven workflow agents in production, including automated event logging and recovery to ensure reliability.

Conduct exploratory data analysis and statistically compare model alternatives under documented core assumptions.Technical Execution (SQL/Python/BI) Write efficient SQL (BigQuery) and build data transformation workflows in Python.

Validate and reconcile pricing and transaction-level data against source systems to identify and resolve discrepancies.





Build and maintain rollup dashboards and reporting views that consolidate performance data for leadership review cycles.

Deliver descriptive analytics and diagnostic dashboards using Tableau and lightweight web applications (Google Apps Script, JavaScript).

Maintain data pipelines and cloud architecture (Google Cloud Platform / BigQuery) for streamlined ad-hoc analysis.

Retail/CPG Domain Expertise* Perform product and transaction-level analysis supporting material to inventory matching.

Analyze conversion and performance metrics including project- or category-level breakdowns.

Apply familiarity with core commercial metrics (conversion rate, pricing and inventory accuracy, SLA performance) to domain-specific analytical problems.What We're Looking For**Qualifications* Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, Business Analytics, or a related field.

6-8 years of experience in advanced analytics, data science, machine learning, or a related field, with demonstrated hands-on ownership of production models and client-facing delivery.Technical Skills:

Languages & Scripting: Expert proficiency in SQL and Python; working proficiency in JavaScript and Google Apps Script for lightweight application/reporting tools.

Analytics & Data Warehousing: Advanced experience with Google Cloud Infrastructure (BigQuery), data architecture design,



and data warehousing.

BI & Visualization: Tableau;

experience building custom dashboards/web apps using Google Apps Script and JavaScript.

Methodologies: Statistical modeling, significance testing, exploratory data analysis, and predictive frameworks.

AI/GenAI: Familiarity with LLM-based frameworks, vector databases, and agentic AI development practices.Ability to explain complex quantitative concepts to non-technical business audiences.

- Comfortable working across onsite-offshore team structures.*Employees who live within a commutable distance of one of our hub offices, currently located in Chicago, metro Detroit, Los Angeles, and New York City, are required and expected to work from the office three days per week (two days per week for employees based in Los Angeles). Dentsu may designate other Hub offices at any time. Those who live outside a commutable range may be designated as remote, depending on the role and business needs. Regardless of your work location, we expect our employees to be adaptable to meet the needs of our Company and clients, which may include attendance in an office.*Medical, vision, and dental insurance,• Life insurance, • Short-term and long-term disability insurance,• 401k,• Flexible paid time off, • At least 15 paid holidays per year,• Paid sick and safe leave, and• Paid parental leave. Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies.

📌 Remote Manager Data Management (Winnipeg)
🏢 Dentsu Aegis Network
📍 Winnipeg