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Senior Associate, Data Science; St. Catharines

Job in St. Catharines, St Catharines, Ontario, Canada
Listing for: GALE
Full Time position
Listed on 2026-06-22
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist, Data Analyst, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 115000 - 130000 CAD Yearly CAD 115000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: Senior Associate, Data Science (St. Catharines)
Location: St. Catharines

About the job  GALE is the world’s first and only Business Agency that brings business strategy to brand storytelling to drive enterprise value. Founded in 2014, the agency has been recognized by AdAge and Adweek and at Cannes Lions. We work with brands such as Delta, Uber, Starbucks, Chili’s, Hard Rock, MilkPEP, Diageo, Cotton, IHG and more. We have eight offices worldwide and embrace a hybrid workplace.
Your Impact  We are seeking a Senior Associate, Data Science to join our data science and analytics team. The role works with clients and internal stakeholders to define, prototype, and produce custom solutions using state-of-the-art big data platforms, analytics, and machine learning. The candidate will have a quantitative background, experience with large datasets, AWS ecosystem, statistical analysis, and client‑facing activities.
What you’ll do   Work on research‑based initiatives using advanced machine learning methods focused on tangible outcomes for clients
Implement machine learning models and data‑driven solutions to drive growth and decision making
Prepare and integrate various types of data (structured or non‑structured) for modeling and analyses
Define, build, and present statistical and machine learning solutions across industries
Conduct analyses such as deriving business insights from market research surveys, customer segmentation, and social media analysis
Build prototypes, proof of concepts or APIs to showcase models
Research and learn new methods, tools, and technologies from research communities and apply them to data science initiatives
Who you are   3‑5 years of experience with machine learning algorithms and their application
At least 3 years of experience in data pipelining, preprocessing, modeling, and analysis
Fluent in SQL and Python
Strong grasp of statistics

Experience with databases such as PostgreSQL, AWS Redshift, Google Big Query, Snowflake, SQL Server, or MySQL
Strong influencing skills to ensure adoption of optimal data science and analytics solutions by clients and stakeholders
Nice to have   Experience in consulting and/or advertising industry
Experience implementing machine learning solutions in production environments
Comfortable presenting to clients and stakeholders

Experience with interactive visualizations in Shiny, D3, or Dash
Familiarity with AWS and GCP ecosystems
Knowledge of media measurement techniques
Compensation and benefits  Equal pay and salary transparency laws apply. Target compensation for this role is $115,000 to $130,000 per year. Compensation is influenced by skill set, qualifications, performance, experience, location and business needs. For additional benefits information, visit our careers site.
AI disclosure  As part of our recruitment process, we may use technology‑assisted tools, including automated systems, to support the review and assessment of applications. These tools do not make the final decisions. All decisions related to screening, interviewing and selection are made by our Talent Acquisition and hiring teams.
Hybrid work note  Hybrid work in office is an essential function of the job.
Our Commitment to Inclusion  GALE is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

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Position Requirements
10+ Years work experience
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