Senior Data Scientist - Marketing

Working Nomads; Canada; Remote; CAD 90,000 - 120,000; Full time

Job summary

A leading remote work platform in Canada is seeking a Senior/Staff Data Scientist to enhance marketing measurement, conduct deep analyses, and collaborate with diverse teams. The ideal candidate has 5-8 years of analytics experience, proficiency in SQL, and a strong foundation in statistical techniques like regression. This role emphasizes independent work and excellent communication skills, offering an opportunity to influence key business decisions through data insights.

Qualifications

• 5-8+ years experience using analytics to drive key business decisions.
• Proven track record of working independently and proactively.
• Significant experience with SQL and large unstructured datasets.

Responsibilities

• Evaluate and improve marketing measurement leveraging techniques.
• Perform analytical deep-dives to analyze problems and opportunities.
• Create personalized segmentation strategies leveraging propensity models.

Skills

Marketing measurement methods

Analytical skills

Strong communication skills

Statistical analysis

Python

SQL

Education

Bachelor's or above in quantitative discipline

Tools

Hadoop

R

Python

Job description

We're looking for a Senior/Staff Data Scientist to partner with Marketing, Brand, Product and Finance teams to answer key questions about the effectiveness of marketing across all our paid and owned channels. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of marketing measurement methods (eg. causal inference, attribution, MMM) and strong technical fluency in scripting(Python/R) and querying(SQL)

Responsibilities

Evaluate and improve our marketing measurement leveraging techniques such as MMM(Marketing Mix Modeling), MTA(Multi touch attribution) and incrementality testing

Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments

Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights

Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes

Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends.

Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets

Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments

Translate complex concepts into implications for the business via excellent communication skills, both verbal and written

Understand what matters most and prioritize ruthlessly

Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field

5-8+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting

Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction

Significant experience with SQL and large unstructured datasets such as Hadoop

Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees

Solid background in running multivariate experiments to optimize a product or revenue flow

Strong verbal and written communication skills

Proficiency in programming/scripting and knowledge of statistical packages like R or Python

Preferred Qualifications

Experience in using open source packages forincrementalitytests(e.g. Meta’s Geolift, Google’s Causal Impact) and MMM (Google’s Meridian, Lightweight MMM or Meta’s Robyn)

Master's or Ph.D. Degree in a quantitative field

Experience with predictive modeling, machine learning, and experimentation/causal inference methods.

We're looking for a Senior/Staff Data Scientist to partner with Marketing, Brand, Product and Finance teams to answer key questions about the effectiveness of marketing across all our paid and owned channels. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of marketing measurement methods (eg. causal inference, attribution, MMM) and strong technical fluency in scripting(Python/R) and querying(SQL)

Responsibilities

Evaluate and improve our marketing measurement leveraging techniques such as MMM(Marketing Mix Modeling), MTA(Multi touch attribution) and incrementality testing

Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments

Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights

Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes

Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends.

Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets

Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments

Translate complex concepts into implications for the business via excellent communication skills, both verbal and written

Understand what matters most and prioritize ruthlessly

Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field

5-8+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting

Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction

Significant experience with SQL and large unstructured datasets such as Hadoop

Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees

Solid background in running multivariate experiments to optimize a product or revenue flow

Strong verbal and written communication skills

Proficiency in programming/scripting and knowledge of statistical packages like R or Python

Preferred Qualifications

Experience in using open source packages forincrementalitytests(e.g. Meta’s Geolift, Google’s Causal Impact) and MMM (Google’s Meridian, Lightweight MMM or Meta’s Robyn)

Master's or Ph.D. Degree in a quantitative field

Experience with predictive modeling, machine learning, and experimentation/causal inference methods.