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What is the role of a Senior Data Scientist, Consumer at Jobgether?

The Senior Data Scientist, Consumer position at Jobgether is a Full-time or part-time position opportunity in the Science field.

Where is this Senior Data Scientist, Consumer job located?

Canada Creek, Nova Scotia, B0P 1V0, Canada

What type of employment is offered for this Senior Data Scientist, Consumer role?

Full-time or part-time position

What is the expected salary for this Senior Data Scientist, Consumer job?

Compensation will be discussed during the hiring process.

Senior Data Scientist, Consumer job near me in Canada Creek, Nova Scotia at Jobgether

Senior Data Scientist, Consumer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Scientist, Consumer in Canada.

This role sits at the core of understanding and improving consumer behavior across one of the world’s largest online community-driven platforms. You will leverage massive-scale datasets to generate insights that shape product decisions, improve user experience, and drive engagement across millions of daily active users. The position combines advanced statistical modeling, experimentation, and machine learning to solve complex consumer-facing problems. You will collaborate closely with product, engineering, and analytics teams to design and evaluate experiments that directly influence product strategy. Operating in a fast-paced, data-rich environment, you will transform behavioral data into actionable insights that impact global user experiences. This is a highly visible role where your work directly contributes to improving how people discover, engage, and interact within large-scale online communities.

Accountabilities:

Build and apply advanced statistical models and machine learning solutions to analyze consumer behavior and improve product experiences at scale.
Design, execute, and evaluate A/B tests and experiments to measure impact of product features and inform strategic decision-making.
Partner with product and engineering teams to identify opportunities for improving engagement, retention, and user satisfaction.
Translate complex data findings into clear, actionable insights for both technical and non-technical stakeholders.
Develop predictive models and segmentation frameworks to better understand user behavior and lifecycle patterns.
Work with large-scale datasets to generate dashboards, reports, and insights that support product strategy and experimentation.
Contribute to the continuous improvement of data science methodologies, tooling, and best practices within the team.

Requirements:

Advanced degree (Master’s or PhD) in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Engineering, or related discipline.
3–5+ years of industry experience in applied data science, machine learning, or statistical modeling roles.
Strong proficiency in Python or R, along with solid experience in SQL for large-scale data analysis.
Proven experience designing and analyzing A/B tests and experimental frameworks in product-driven environments.
Strong understanding of statistical inference, causal inference, and machine learning techniques.
Experience working with large-scale consumer datasets and deriving actionable insights from behavioral data.
Excellent communication skills with the ability to explain complex analytical concepts to non-technical stakeholders.
Strong problem-solving mindset with a passion for product impact and user experience optimization.
Experience in high-growth consumer tech or platform companies is a plus.

Benefits:

Comprehensive health, dental, and medical coverage, including mental health and wellness support.
Retirement savings plan with employer matching contributions.
Flexible vacation policy and generous paid time off, including volunteer days.
Paid parental leave and family planning support programs.
Gender-affirming and inclusive healthcare benefits.
Remote-first flexibility within Canada, supporting work-life balance.
Professional development and learning support programs.
Inclusive, community-driven culture focused on belonging and impact.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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Senior Data Scientist, Consumer in Canada Creek, Nova Scotia at Jobgether

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