Marketing Data Scientist

Job Description Insight Global is seeking a highly skilled and inquisitive Marketing Data Scientist to join our banking client's North American Marketing Data Science team. This role will be pivotal in advancing their in-house capabilities in Marketing Mix Modeling (MMM), experimentation, and multi-touch attribution (MTA). The ideal candidate will have hands‑on experience with open‑source MMM tools, and will be passionate about translating complex data into actionable insights that drive smarter media investment and marketing optimization.

This is a hybrid role and requires 2x/week downtown Toronto (Wednesday and Thursday preferable).

Key Responsibilities

Lead the development and implementation of in-house MMM solutions using open‑source packages (e.g., Google Meridian, PyMC).

Consult on analytical solutions to understand, analyze, and synthesize business requirements, enabling high‑quality, fact‑based decisions that drive better marketing outcomes and support strategic initiatives.

Clean, aggregate, and transform raw data from media, sales, pricing, promotions, macro signals, etc. Ensure time alignment, lag structures, adstock transformations, and stationarity considerations.

Test different prior distributions to ensure stability, identifiability, and interpretability.

Support in building automated pipelines to ingest, clean, and update weekly/monthly data and manage refresh automation.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

Strong proficiency in Python and experience with open‑source MMM packages.

Experience with AWS, specifically SageMaker.

Previous experience in building and implementing marketing mix models.

Strong analytical skills with the ability to interpret data and make informed decisions.

Excellent communication and collaboration skills.

Experience in the retail sector, although banking or large enterprise experience is not required.

Familiarity with high‑visibility projects sponsored by executive‑level stakeholders.

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