Digital Personalization Analytics Expert

Accountabilities:

• Leverage advanced analytics and large-scale datasets to optimize digital personalization strategies and customer engagement

• Lead end-to-end data science projects, including problem definition, data exploration, model development, validation, and deployment

• Design and execute experiments, ensuring accurate audience segmentation, test activation, and performance tracking

• Consolidate insights across digital initiatives to continuously refine targeting and personalization approaches

• Establish and maintain high standards for documentation of analytics processes, models, and insights

• Collaborate with cross-functional teams to communicate findings and influence strategic decision-making

• Mentor and guide junior data scientists, fostering a culture of innovation and continuous improvement

• Promote scalable machine learning practices and contribute to the development of robust, production-ready solutions

Requirements:

• Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative field (Master’s or PhD preferred)

• 5+ years of experience in data science (or 2+ years with a Master’s degree), working on complex analytical problems

• Strong expertise in machine learning, statistical modeling, and optimization techniques

• Proficiency with modern analytics tools and programming languages such as Python, R, SQL, and Spark, along with cloud platforms

• Experience with data visualization tools like Tableau, Looker, Qlik, or similar technologies

• Demonstrated ability to design experiments, analyze results, and iterate quickly in a fast-paced environment

• Strong problem-solving, communication, and stakeholder management skills

• Experience in digital, eCommerce, retail, or marketing analytics is a plus

Benefits:

• Competitive compensation package aligned with experience and expertise

• Comprehensive healthcare coverage including medical, dental, and vision plans

• Flexible work arrangements with hybrid or remote options

• Generous paid time off and work-life balance initiatives

• Opportunities for continuous learning, development, and career advancement

• Collaborative and inclusive work environment focused on innovation

• Access to cutting-edge tools, technologies, and data platforms

• Employee wellness programs and additional lifestyle perks.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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