Connect with Quadient

At Quadient, we support businesses of all sizes in their digital transformation and growth journey, unlocking operational efficiency with reliable, secure, and sustainable automation processes. Our success in delivering innovation and business growth is inspired by the connections our diverse teams create every day, with our clients and each other. It’s these connections that make Quadient such an exceptional place to grow your career, develop your skills and make a real impact – help our future-focused business lead the way in powering secure and sustainable business connections through digital and physical channels.

The Data Management Specialist, functioning as a Data Scientist within our team, plays a critical role in supporting the development and implementation of data models for marketing purposes. This position involves close collaboration with the Marketing Operations lead to analyze data, build models for propensity to buy, churn prediction, customer lifetime value prediction, and provide insights for targeting and lead scoring. By doing so, you will contribute significantly to the enhancement of our marketing strategies and operational efficiency.

Your role in our future:

1.Lead the Development and Implementation of Data Models:

• Develop and implement data models for prospect targeting and lead scoring.
• Utilize advanced statistical and machine learning techniques to extract meaningful insights from data.

2.Collaborate with Marketing and Sales Teams:

• Work closely with marketing and sales teams to align data-driven strategies with business goals.
• Provide actionable recommendations based on data analysis to optimize marketing campaigns.

3.Integrate Data Insights into Marketing Operations:

• Enhance lead management and digital sales functions by integrating data insights.
• Ensure seamless data flow between marketing systems and analytics platforms.

4.Model Creation for Lead Maturity and Next Best Buy Opportunities:

• Create predictive models to assess lead maturity and identify next best buy opportunities.
• Continuously refine and improve these models based on performance feedback.

5.Data Quality and Accuracy:

• Ensure the quality and accuracy of data used in model building and analysis.
• Collaborate with data engineering teams to maintain data integrity.

Your profile:

• 3-5 years of experience in data modeling, machine learning, and analytics.
• Proven leadership skills with experience in managing a data science team.
• Strong understanding of marketing operations and lead management processes.
• Excellent communication and collaboration skills.
• Proficiency in data analysis tools and programming languages such as Python, R, or SQL.

Knowledge gaps can be filled. Even if you don’t satisfy every single requirement or meet every qualification listed, we still want to hear from you.

Turn your passion into performance. Apply now!

Rewards & Benefits

Flexible Work: Embrace a hybrid work model blending office and remote setup for a balanced lifestyle.

Endless Learning: Access global opportunities for growth through our 24/7 online learning platform.

Inclusive Community: Join diverse communities and engage in our Philanthropy program.

Comprehensive Rewards: Enjoy competitive Total Rewards covering wellness, work/life balance, and more, including a generous referral scheme.

Caring for Wellbeing: Access our complimentary employee assistance program for mental health support.

Be yourself at Quadient

Our values define how we work as a team: Empowerment, Passion, Inspiration and Community. They inspire us to be EPIC. Together. What makes Quadient different is how different we are. We’re a team of individuals with one goal but many perspectives. When you connect with Quadient, you become part of a community that cares - in a culture that embraces differences and values every voice.

We will consider any reasonable modifications to the interview process. If you require any assistance with the application process, please email us at careers@quadient.com

Quadient is an Equal Employment Opportunity Employer*: We believe that diversity brings benefits to our customers, our business, and our people so we are committed to being an inclusive employer. We encourage applications from all suitable applicants, regardless of background. We firmly believe in zero discrimination in employment on any basis, including gender, race, ethnicity, religion or belief, national origin, age, disability, marital status, sexual orientation, gender identity, citizenship status, veteran status, and any other protected characteristics.

*This includes being an Affirmative Action Employer in the United States.

People. Connected.