Digital Personalization Analytics Expert in United States at Jobgether
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Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Digital Personalization Analytics Expert in United States.
In this role, you will play a critical part in shaping highly personalized digital experiences through advanced analytics and data science. You will work with large-scale datasets to uncover insights that drive customer engagement, retention, and lifetime value. Operating in a dynamic, data-driven environment, you’ll lead end-to-end analytics initiatives—from experimentation to production deployment. Collaboration is key, as you partner with cross-functional teams to translate complex findings into actionable strategies. You will also contribute to building scalable machine learning solutions while mentoring team members and elevating analytics best practices. This is an opportunity to combine technical expertise with strategic thinking to deliver measurable business impact.
- 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.