Marketing Data Scientist

Job Description

Check out what we have for you….

• Earn a competitive salary, plus grow your retirement savings with our 401k plan featuring company match!
• Access top-notch medical, dental, and vision benefits, including Telemedicine.
• Boost your health with our wellness program and incentives.
• Enjoy peace of mind with company-paid life insurance.
• Celebrate with company-paid holidays and other paid time off.
• Take advantage of Parental Leave to care for your family.
• Benefit from exclusive employee discounts including our exclusive Employee Sell and Purchase Vehicle program.
• Find support through our Employee Assistance Program.
• Get access to the WBAC Gear Store for company swag.
• A supportive and collaborative environment where you are encouraged to work together with team members to achieve outstanding results.
• An inclusive atmosphere that values diverse voices.

Car Group Holdings LLC, operating as ® USA, is a leading car buying service that offers a fast, safe, and fair way to sell your car. With a focus on providing a seamless and convenient experience, we offer free online valuations, hassle-free transactions, and fast payment on the spot.

The Marketing Data Scientist will assist with driving the marketing strategy and decision-making through advanced data analysis, predictive modeling, and machine learning techniques. The Marketing Data Scientist’s insights and recommendations will directly impact our marketing campaigns, customer engagement strategies, and overall business growth. This role requires a deep understanding of marketing analytics, statistical methods, and the ability to translate complex data into actionable insights.

We are unable to offer sponsorship for this position.

• Utilize advanced data mining, statistical analysis, and machine learning techniques to identify trends, patterns, and insights from complex marketing data.
• Develop predictive models and algorithms to optimize marketing campaigns, customer segmentation, and targeting strategies.
• Collaborate closely with marketing teams to design experiments, analyze results, and provide actionable recommendations for improving campaign effectiveness and ROI.
• Conduct deep-dive analysis to understand customer behavior, preferences, and lifetime value, and leverage these insights to personalize marketing efforts.
• Build dashboards and visualizations to communicate key metrics and performance indicators to stakeholders, enabling data-driven decision-making across the organization.
• Stay current with industry trends and best practices in marketing analytics, data science, and machine learning, and apply them to enhance our marketing strategies.
• Work cross-functionally with the analytics team, IT team, and business stakeholders to ensure data quality, integrity, and accessibility for marketing analytics purposes.
• Validate impact of Marketing Campaigns through experiments and causal analysis.

• Excellent analytical and problem-solving skills with the ability to interpret and communicate complex data analysis results effectively with strong attention to detail.
• Must possess strong business acumen with proven experience of applying data science techniques to business problems to drive increased revenue or introduce operational efficiencies.
• Proven ability to effectively communicate and to present findings and recommendations to non-technical stakeholders.
• Possess a strong desire to know “how” and “why” things work, inclined toward sustainable and manageable solutions.
• Have self-awareness of strengths and opportunities, ability to introspect, and self-develop by engaging in continuous learning.
• Proven ability to work independently and collaboratively in a fast-paced environment, with a proactive and results-oriented approach.
• Proficient with company-based systems, Microsoft Windows and Office Suite applications.

• Master's Degree (or equivalent level preferred) in Data Science, Statistics, Mathematics, or a related quantitative field.
• Proven experience (3 years or more) in a data science or similar role within a commercial business, preferably consumer-facing.
• Strong proficiency in programming languages such as Python or R, and experience with statistical analysis tools (e.g., SAS, SPSS, or similar).
• Hands-on experience with machine learning techniques (e.g., regression, clustering, decision trees, neural networks) and frameworks (e.g., Tensor Flow, scikit-learn).
• Experience with data visualization tools (e.g., Tableau, Power BI) and database querying languages (e.g., SQL).
• Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud).
• Familiarity with creating data analysis plans and executing A/B testing methodologies.

• Prolonged periods of sitting at a desk and working on a computer.
• Must be able to lift to 15 pounds at times.