Data Science Lead - Marketing

Key Skills

Apache Airflow, AWS Sagemaker, Data science techniques, Effective communication skills, Leadership Skill, Machine learning techniques, MLOps tools, Python Programming

Job Description

What you’ll get to do in this role:

As the Data Science Lead - Marketing, you will provide technical leadership for a portfolio of intelligent solutions covering a broad range of marketing use cases, including customer lifecycle management, marketing optimization, and personalized pricing. You will partner with the Business, Enterprise Data, Technology, Cybersecurity, and Engineering teams to translate business requirements and opportunities into AI/ML problems, and trained models into secure, reliable, enterprise-scale applications. You will work closely with the Marketing Data Science Director on product direction and design decisions and oversee all technical aspects of the AI/ML development lifecycle, from design to deployment and sustainment. The successful candidate will be a self-directed, experienced applied data scientist who enjoys building intelligent systems from the ground up.

Responsibilities:

• Work directly with business stakeholders to translate business requirements and opportunities into AI/ML problems.
• Lead team of data scientists to build and manage model engineering pipelines for new use cases and continuously improve existing algorithms in a scalable cloud development environment using Databricks; work in lockstep with the Engineering team to ensure proper workflow orchestration and automation across the full, end-to-end MLOps pipeline.
• Own the development, implementation, and sustainment of customer lifecycle (e.g., churn prevention, e-commerce activation, etc.), lifetime value, and marketing mix models to drive customer engagement and retention, and optimize media/marketing planning and investment.
• Develop and implement algorithm(s) to enable personalized pricing across participating Scene+ banners.
• Partner with the Business, Engineering, Enterprise Data, Cybersecurity, and Technology teams, and third parties to operationalize algorithms in the business.
• Work closely with business stakeholders to define measures of success and KPIs for all applications and use cases under your stewardship; partner with the Advanced Analytics Measurement & Experimentation COE on measurement strategy and the development of measurement ETL and reporting to track incremental business benefits and guide development efforts.
• Mentor and coach team by providing regular feedback and through code reviews and pair programming.
• Support production model governance processes and the development of robust quality controls for your algorithms.
• Work with peers across the Advanced Analytics team to drive MLOps, engineering, and coding best practices, global standards, and the build of common, reusable components across the AA product portfolio.
• Stay up to date with best practices and latest advances in marketing science, personalization, and machine learning, and drive the adoption of the same across the team.

What you have to offer:

Qualifications:

• Master's or PhD degree in Computer Science, Engineering, Statistics, Mathematics, or related technical field.
• 5+ years of industry experience working as a data scientist or similar roles, with at least 2+ years of direct people management or team leadership experience.
• Significant experience in end-to-end development and productionization of large-scale ML pipelines using Python in a cloud environment (e.g., Databricks, Snowflake, Azure Synapse, AWS SageMaker), including model deployment, monitoring, and scalability.
• Familiarity with MLflow, Airflow, and similar MLOps platforms is a plus.
• Experience developing and operationalizing marketing mix models in a retail or other B2C setting, with a focus on optimizing media/marketing planning and maximizing ROAS.
• Experience building and deploying customer lifetime value (CLTV) models, as well as models for churn prediction and customer retention.
• Experience in building and/or deploying large-scale personalization algorithms (e.g., recommender systems, targeted messaging) to drive customer engagement and retention is highly desirable.
• Strong experience with data manipulation using PySpark and SQL.
• Extensive hands-on experience with machine learning and statistical modeling techniques using Python – experience using packages such as StatsModel, SparkML, DoWhy, EconML is a big plus.
• Strong leadership and mentoring skills, with a proven ability to guide a team of data scientists to achieve ambitious goals and foster a collaborative environment.
• Proven experience managing multiple stakeholders, concurrent workstreams, priorities and deadlines in a high pressure, fast-paced environment.
• Excellent communication skills, with the ability to explain and present complex technical concepts to both technical and non-technical audiences.

While all responses are appreciated only those being considered for interviews will be acknowledged.

We appreciate the interest from the Staffing industry however respectfully request no calls or unsolicited resumes from Agencies

At Sobeys we require our teammates to have the ability to adhere to a hybrid work model that requires your presence at one of our office locations at least three days per week. This requirement is integral to our commitment to team collaboration and the overall success of our office culture.

We offer a comprehensive Total Rewards package, which varies by role and designed to help our teammates to live better – physically, financially and emotionally.

Some websites share our job opportunities and may provide salary estimates without our knowledge. These estimates are based on similar jobs and postings for general comparison, but these numbers are not provided by our organization nor monitored for accuracy.

We will consider factors such as your working location, work experience and skills as well as internal equity, and market conditions to ensure the selected candidate is paid fairly and competitively. We look forward to discussing the specific compensation details relevant to this role with candidates who are selected to move forward in the recruitment process.

Our Total Rewards programs, for full-time teammates, goes well beyond your paycheque:

• Competitive Benefits Package, tailored to meet your needs, including health and dental coverage, life, short- and long-term disability insurance.
• Access to Virtual Health Care Platform and Employee and Family Assistance Program.
• A Retirement and Savings Plan that provides you with the opportunity to build and add value to your savings.
• A 10% in-store discount at our participating banners and access to a wide range of other discount programs, making your purchases more affordable.
• Learning and Development Resources to fuel your professional growth.
• Parental leave top-up
• Paid Vacation and Days-off

We are committed to accommodating applicants with disabilities throughout the hiring process and will work with applicants requesting accommodation at any stage of this process.