Data Scientist 2

Join our high-performing digital marketing strategy team as a Data Scientist 2, where your analytical expertise will directly impact business growth. In this pivotal role, you’ll analyze large-scale data sets, uncover actionable insights, and drive targeted marketing and sales initiatives. Collaborate with diverse, cross-functional teams in a dynamic environment focused on innovation and excellence. This is an opportunity to advance your career by solving challenging problems, working with the latest technologies, and shaping business outcomes., Partner with marketing and sales teams to define KPIs and align data strategies with business goals.

• Analyze marketing and sales performance across the entire customer lifecycle from acquisition through conversion.
• Identify trends, performance gaps, anomalies, and opportunities in campaigns, audiences, and geographies.
• Develop and maintain comprehensive funnel reporting linking marketing actions to sales outcomes.
• Mine and validate large structured and unstructured datasets for quality and relevance.
• Design, implement, and optimize machine learning models for segmentation, forecasting, and behavioral analysis.
• Create impactful data visualizations and PowerBI dashboards to communicate findings.
• Conduct experiments and statistical analyses to provide actionable recommendations.

2-5 years of experience in data analytics or data science, preferably within marketing or sales environments.

• Strong proficiency in data mining, statistical analysis, and predictive modeling.
• Advanced experience with CRM and marketing automation platforms, especially Salesforce and Adobe Analytics.
• Expertise in building, troubleshooting, and optimizing CRM reports and dashboards.
• Skilled in Excel, PowerPoint, Tableau, SQL, and programming languages such as Python or SAS.
• Solid understanding of CRM data structures and their relation to marketing and sales processes.
• Proven experience working on global, cross-functional projects.

[Preferred Skills]

• Bachelor’s degree in statistics, applied mathematics, or a related field.
• Project management experience (2+ years).
• Deep knowledge of pattern recognition and machine learning algorithms.

Collaborative, innovative, and supportive team culture.

• Opportunities for professional development and career progression.
• Work with cutting-edge tools and technologies.
• Exposure to impactful, enterprise-scale marketing and sales initiatives.