Data Scientist / Digital Commerce Marketing Analytics Consultant
Job title: Data Scientist / Digital Commerce Marketing Analytics Consultant in Atlanta, GA at Kavaliro
Company: Kavaliro
Job description: 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.Key Responsibilities:
Expected salary:
Location: Atlanta, GA
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Company: Kavaliro
Job description: 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.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.
- 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.
- 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.
- 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.
- CPG (Consumer Packaged Goods) analytics background preferred.
Expected salary:
Location: Atlanta, GA
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