igital Marketing Data Scientist - E-Commerce & Retail Media Consultant

Cube Hub Inc.; Chicago (IL); Remote; USD 100,000 - 120,000; Full time

Job summary

Cube Hub Inc. is seeking a Digital Marketing Data Scientist to drive insights and optimize digital commerce strategies. This remote position involves advanced analytics, data management, and collaboration with teams to enhance marketing performance across platforms. Ideal candidates will have expertise in data science and digital marketing metrics, supported by a strong analytical background.

Benefits

Medical insurance

Vision insurance

401(k)

Qualifications

• 3+ years of experience in data science and advanced analytics.
• Hands-on experience with digital marketing metrics and KPIs.
• Strong familiarity with programming and data visualization tools.

Responsibilities

• Analyze digital commerce and retail media data to identify conversion drivers.
• Develop predictive models to optimize bids based on data insights.
• Present findings to stakeholders using visualizations.

Skills

Data Analysis

Advanced analytics

Machine Learning

Data Visualization

Problem-Solving

Education

Bachelor's or Master's degree in Data Science, Statistics, Computer Science

Tools

Python

R

Tableau

Power BI

AWS

Azure

Job description

Digital Marketing Data Scientist - E-Commerce & Retail Media Consultant

Direct message the job poster from Cube Hub Inc.

Job Title: "CPG and Digital Marketing Data Scientist - E-Commerce & Retail Media Consultant"

100% Remote position.

Long-term role with opportunities for hire - Not considered a contract to hire.

CPG analytics background Required.

Digital Commerce Marketing Analytics (Consultant)

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Technology, Information and Media, Marketing Services, and Retail

Referrals increase your chances of interviewing at Cube Hub Inc. by 2x

Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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