Junior Data Scientist

Descripción del puesto:

About WPP Media

WPP is the trusted growth partner for the world's leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships - all united by our pioneering agentic marketing platform, WPP Open - we help clients navigate change, capture opportunity, and deliver transformational growth. 
WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.
For more information, visit wppmedia.com.

Job Title: Junior Data Scientist (Bayesian Modeling & MMM)
Location: Toronto, ON (Hybrid)
Experience Level: Entry-Level

About WPP Media:
WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.
WPP Media is WPP's global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com.
At WPP Media, we believe in the power of our culture and our people. It's what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media's shared core values:
* Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
* Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
* Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

About the Role:
We are looking for a Junior Data Scientist with a strong foundation in Bayesian statistics and Marketing Mix Modeling (MMM) to join our analytics team. You will support the development of advanced models that drive data-informed decisions across marketing, customer analytics, and business strategy.
Key Responsibilities:
* Develop and implement Bayesian statistical models for business and marketing use cases
* Assist in building and maintaining Marketing Mix Models (MMM) to evaluate channel effectiveness
* Perform data cleaning, feature engineering, and exploratory data analysis (EDA)
* Support model validation, testing, and performance monitoring
* Translate complex analytical results into clear business insights and recommendations
* Collaborate with cross-functional teams including marketing, product, and finance
* Create dashboards and visualizations using tools like Tableau, Power BI, or Python libraries
* Document methodologies, assumptions, and model outputs for stakeholders
Required Qualifications:
* Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or related field
* Strong understanding of Bayesian statistics (priors, posteriors, inference techniques)
* Familiarity with Marketing Mix Modeling (MMM) concepts and frameworks
* Proficiency in Python or R (e.g., pandas, NumPy, PyMC, Stan, scikit-learn)
* Knowledge of SQL for data extraction and manipulation
* Understanding of statistical modeling and machine learning basics
* Strong analytical and problem-solving skills
Preferred Qualifications:
* Experience with Bayesian modeling libraries (PyMC, Stan, TensorFlow Probability)
* Exposure to causal inference and experimental design
* Familiarity with marketing analytics (attribution, ROI, lift modeling)
* Experience working with time-series data
* Knowledge of cloud platforms (AWS, Azure, GCP)
Soft Skills:
* Strong communication and storytelling ability
* Attention to detail and structured thinking
* Ability to work in a fast-paced, collaborative environment
Nice to Have:
* Internship/project experience in marketing analytics or financial analytics
* Experience working with large datasets and real-world business problems

Life at WPP Media & Benefits
Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we're just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.
WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we've adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
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While we appreciate all applications received, only those candidates selected for an interview will be contacted.

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