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Data Science Analyst

Sundayy
Full Timemid
CAPosted 7 days ago

Role Overview

Sundayy is hiring a mid-level Data Science Analyst. This is a full-time role in CA. posted last week. Full responsibilities, required qualifications, and the apply link are listed in the description below.

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PythonRPandasscikit-learnExcelORBenefitsOmnicom

Job description

About The Company

Omnicom Media Canada is a leading global media and marketing communications company dedicated to delivering innovative solutions that drive measurable results for clients across various industries. Renowned for its collaborative culture and commitment to excellence, Omnicom Media Canada fosters an environment where creativity, data-driven insights, and strategic thinking intersect. The organization emphasizes community, impact, and opportunity, providing its employees with a platform to grow professionally while making a tangible difference in the industry. With a focus on inclusion, diversity, and equity through Action (IDEA), the company strives to cultivate a workplace that reflects the rich cultural mosaic of Canada, ensuring that every team member feels valued and empowered.

About The Role

We are seeking a Data Science Analyst to join our expanding data science team. This role offers an exciting opportunity for individuals with a strong foundation in statistics and data analysis to apply their skills in a dynamic, client-focused environment. As a Data Science Analyst, you will support the development, validation, and delivery of quantitative models, including marketing mix models, regression analyses, and other statistical work across media, pricing, and promotional datasets. Your contributions will directly influence strategic decision-making for our marketing clients by providing actionable insights through rigorous data analysis and modeling. This position serves as an ideal entry point for those eager to deepen their expertise in applied analytics within a collaborative team setting, working on diverse projects that span multiple industry verticals.

Qualifications

Bachelor's or Master's degree in Statistics, Mathematics, Economics, Data Science, or a related quantitative field

Strong foundation in statistical modeling, particularly regression analysis and time-series methods

Proficiency in Python or R for data manipulation, modeling, and visualization (e.g., pandas, statsmodels, scikit-learn)

Knowledge of multicollinearity, heteroscedasticity, model fit diagnostics, and variable selection techniques

Experience working with large, complex datasets with attention to detail

Excellent written communication skills for documenting analytical processes and findings

Exposure to Bayesian methods or hierarchical modeling is a plus

Experience with marketing data such as media spend, impressions, GRPs, or consumer datasets

Prior internship or academic project experience in an applied analytics setting

Responsibilities

Build and maintain data science models such as Marketing Mix Models using regression-based techniques, working with weekly or monthly time-series data across media, pricing, and promotional variables

Conduct data validation, cleaning, and quality assurance on client datasets to ensure model readiness

Perform statistical analyses including adstock transformations, diminishing returns curves, and decomposition outputs

Support model documentation and prepare structured outputs such as Excel workbooks, charts, and summary tables for internal review and client presentations

Collaborate with senior team members on methodology decisions and model refinement to enhance accuracy and robustness

Contribute to internal tooling and process improvements to support team scalability and efficiency

Benefits

Hands-on experience across multiple industry verticals and client types

Collaborative, learning-focused team environment with mentorship from senior professionals

Exposure to the full lifecycle of marketing mix modeling, from data intake to client delivery

Competitive salary ranging from $55,000 to $65,000 annually

Generous paid time off, including vacation, wellness days, long weekends, and half-day Fridays

Flexible hybrid work arrangements tailored to individual needs

Opportunities for personal and professional development through formal training, including mental health and inclusion education

Access to a global network of agencies and resources

Participation in community-based employee groups such as Black Employee Network, Girls on Fire, Hispanic or Latinx Alliance, Neuro Network, Pan-Asian Network, and Rainbow Lounge

Equal Opportunity

Omnicom Media Canada is an equal opportunity employer committed to fostering an inclusive environment. We provide equal employment opportunities to all employees and applicants without regard to race, colour, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, disability, or any other characteristic protected by law.

About Sundayy

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Sundayy

sundayapp.com

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Frequently Asked Questions

How do I apply for the Data Science Analyst position at Sundayy?

Use the Apply button above to submit your application directly to Sundayy. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Data Science Analyst position at Sundayy located?

This position is based in CA. Sundayy has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Data Science Analyst at Sundayy earn?

Sundayy has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Data Science Analyst role at Sundayy posted?

This role was posted on July 1, 2026 (7 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

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