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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