Digital Marketing Data Scientist - E-Commerce & Retail Media

Job TItle: "Digital Marketing Data Scientist - E-Commerce & Retail Media"
100% Remote position.
Long-term role with opportunities for hire - Not considered a contract to hire.
CPG analytics background preferred.

This role will focus on leveraging advanced analytics to drive insights and optimize digital commerce and retail media strategies.
The ideal candidate will have a proven track record of working with digital commerce related technologies and a strong background in data science, advanced analytics and data to drive business outcomes.

Experiences sought:
Deep hands-on experience with advanced analytics on platforms on or similar to Amazon Ads, Amazon Marketing Cloud, Amazon DSP, Walmart Scintilla, Kroger Collaborative Cloud, Google Ads, Facebook Ads or similar clean room applications or worked in search engine optimization or search bidding optimization supported by CLV, RFM or similar propensity modeling using first party data assets.

Ideal candidates should possess a strong familiarity with marketing terminology, including but not limited to: Customer Acquisition Cost (CAC), Impressions, Click-Through Rate (CTR), Conversion Rate, Glance Views, Return on Ad Spend (ROAS), Search Engine Optimization (SEO), Customer Lifetime Value (CLV), Attribution Modeling.

Key Responsibilities:
Data Analysis and Modeling:
Analyze digital commerce and retail media data to identify factors driving higher or lower conversion rates
Develop and implement predictive models to determine overarching insights and recommendations in order to optimize bids on keywords based on volume and profit driven by incremental share of voice
Utilize complex SQL logic to ETL disparate data tables and sources
Apply machine learning algorithms and statistical techniques to uncover hidden relationships and correlations within large first party datasets

Strategic Insights and Recommendations:
Provide actionable recommendations to improve search spending and conversion rates
Present findings and insights to senior leadership and stakeholders using visualizations and interactive dashboards designed for non-technical audiences
Drive the development of strategic recommendations on analytics projects associated with business unit strategy in close collaboration with key leaders across the organization

Project Management and Collaboration:
Handle end to end framing, execution and communication of advanced analytics projects to distill insights for senior business leaders in support of strategic business plans
Collaborate with cross-functional teams to integrate data-driven insights into strategic decision-making processes
Manage the engagement of advanced analytics projects, including external suppliers, to ensure projects are executed accurately, timely, and cost-efficiently
Proactively take on additional responsibilities and projects as needed to continuously improve performance

Data Management and QA:
Act as an SME for first/zero party data sources, including evaluating data quality and completeness, identifying gaps, and determining ways to improve data utility
Partner with data management and stewards to maintain and enhance data quality by applying data governance policies and procedures, performing data validation and quality checks, and resolving data quality issues

Qualifications:
Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
3+ years of experience in data science and advanced analytics, preferably in digital commerce or retail media.
Proficiency in programming languages such as Python or R.
Experience with data visualization tools like Tableau or Power BI.
Strong analytical skills with the ability to interpret complex data sets and provide actionable insights.
Excellent communication skills, with the ability to present complex information in a clear and concise manner.
Experience with machine learning algorithms and statistical modeling techniques.
Familiarity with digital marketing metrics and KPIs as stated above.

Preferred Qualifications:
Experience working with large datasets and cloud-based data platforms (e.g., AWS, Azure).
Knowledge of digital advertising platforms and tools (e.g., Amazon Marketing Cloud, Google Ads, Facebook Ads).
Strong problem-solving skills and attention to detail.
Ability to work independently and manage multiple projects simultaneously.