Senior Marketing Data Scientist Job Vancouver area,BC Canada,IT/Tech

Job Summary

We are looking for a skilled and detail-oriented Snowflake developer to join our Data Engineering team. The selected candidate will design, develop, and maintain scalable data pipelines and solutions using Snowflake, as well as collaborate with cross-functional teams to ensure data integrity, performance, and availability across platforms.

Key Responsibilities

Work directly with one of our clients, a major retail firm, to assist with their marketing analytics and data science initiatives

Build hands-on media mix models to quantify impact of marketing and advertising campaigns to optimize investments across a wide range of media channels and tactics

Run optimization and simulation scenarios to help provide the marketing investment and allocation recommendations to stakeholders

Conduct data analysis and utilize Bayesian statistics to uncover patterns and insights that inform strategic business decisions

Build and utilize machine learning models to perform classification, regression, clustering, forecasting, etc.

Develop presentations and reports with relevant findings and be able to present findings to key stakeholders.

Identify, prioritize, and execute opportunities to scale marketing efforts across acquisition, engagement, and retention.

Evaluate the incremental impact of marketing investments through experimentation (A/B testing, causal inference) at both macro and granular levels (channel, tactic, creative, etc.).

Build, operationalize, and iterate on data science solutions such as Marketing Mix Models, Bayesian Models, Audience Scoring, and Customer Segmentation to drive intelligent marketing strategies.

Provide closed-loop data science support for audience-centric marketing, including audience sizing, experiment design, segmentation, and targeting model development.

Support pricing, promotions, and other key business decisions through experimentation and ad hoc analysis.

Core Competencies

Industry experience with a Retail, CPG, or Marketing Analytics firm is preferred

Strong experience in Bayesian statistics, hierarchical models, causal inference, and experimentation

Proven experience translating analytical insights into business impact (growth, ROI optimization, budget allocation)

Advanced proficiency in Python / R, model automation, and production-grade analytics pipelines

Proficiency with data visualization and dashboard tools (e.g., Looker, Tableau)

Have experience with the ad-tech and mar-tech industry with extensive experience in measuring performance across the purchase funnel

Ability to use tools such as Google Analytics, Adobe Analytics, Python, R, Spark, SQL, etc.

Any working knowledge of marketing measurement approaches, i.e. econometric modeling, digital multi-touch attribution, experimental A/B testing, predictive modeling, etc. is a plus.

Required Qualifications

Bachelor’s or advanced degree in Math, Economics, Statistics, Engineering, Computer Science, Data Analytics, Digital Marketing or related field, or equivalent relevant work experience.

6-10 years of experience in Market Mix Modelling, Bayesian modelling, retail media, digital media, marketing measurement and site/ search analytics

Ability to work collaboratively to tackle complex problems

Strong communications skills

Disclaimer:
The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances.

Please Note:

We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we may verify your employment, education, and other details. Please ensure all information is factual and submitted on time. For any assistance, your recruiter is available to support you.

Want to learn more about our culture and what it’s like to work with us? Write to us at

Facebook Linked In Instagram Twitter

Read our Privacy policy - Evalueserveto learn how Evalueserve processes your personal information.


Increase/decrease your Search Radius (miles)



Job Posting Language