Marketing Data Analyst

2 weeks ago


Springfield, Pennsylvania, United States webuyanycar USA Full time
Job Title: Marketing Data Scientist

About the Role:

We are seeking a highly skilled Marketing Data Scientist to join our team at webuyanycar USA. As a Marketing Data Scientist, you will play a critical role in driving our marketing strategy and decision-making through advanced data analysis, predictive modeling, and machine learning techniques.

Key Responsibilities:

  • Develop and implement advanced data mining, statistical analysis, and machine learning techniques to identify trends, patterns, and insights from complex marketing data.
  • 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.

Requirements:

  • Master's Degree (or equivalent level preferred) in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
  • Proven experience (3 years or more) in a data scientist or similar role, preferably within marketing or digital advertising.
  • 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., TensorFlow, 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).

What We Offer:

  • A dynamic and collaborative work environment.
  • Opportunities for professional growth and development.
  • A competitive salary and benefits package.

How to Apply:

Please submit your resume and a cover letter outlining your experience and qualifications for this role.



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