Data Science, Senior Manager

Job ID: 17571

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We are one of the most successful internet companies of all time. Core to our continued success is our global Analytics Centre of Excellence that supports the organization in making insight-based business and marketing decisions.


As our Global Data Science expert you will be responsible for providing cutting edge framework, ownership and support for optimization and modelling across our marketing organization. You will be our go-to person for up-sell and cross-sell models globally, including North America, Europe, Australia and New-Zealand.


Your role will involve…

  • Owning and optimizing existing statistical models and machine learning algorithms, to drive meaningful increases in revenue and contribution margin while providing a fulfilling cross-sell experience to our customers.
  • Being our methodology ‘guru’ across Marketing to identify and implement statistical models, techniques and tools that will improve our efficiency and effectiveness
  • Being heavily involved in the details of the Data Science projects but with the ability to “see the big picture”
  • Performing detailed analysis and providing meaningful insights to support decisions in the Marketing organization
  • Partnering closely with senior stakeholders to understand business needs and translating them into analytical requests
  • Helping lead the evolution of new analytical tools and methods to optimize Vistaprint’s ability to translate data into actionable insights
  • Recommending and evangelizing analytic best practices and providing thought leadership to the functional leads of our marketing organization

In return you will bring…

  • Extensive machine learning and modeling experience within an e-commerce environment
  • Strategic thinking and demonstrated ability to contribute to the development of winning business growth strategies
  • Exceptional consulting and communication skills, and experience of comfortably operating and influencing at senior executive level
  • Bachelor's degree in Math, Statistics, Engineering or other relevant field is required. Master of Science is strongly preferred.
  • Significant past experience with Python, R & SQL. Experience of Hadoop, Spark desirable 
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About Vistaprint

Vistaprint, a Cimpress company, empowers 16 million micro businesses and consumers annually with affordable, professional print and digital solutions by leading the way in marketing, innovative technologies, custom products and manufacturing excellence.

We strive to be a world-class customer-centric company by offering a broad range of products and services via 25 easy-to-access, localized websites globally and by shipping to more than 130 countries around the world. Our customers benefit from our unique business model supported by proprietary technologies, high-volume production facilities and direct marketing expertise.

Employees of Vistaprint are passionate about understanding the needs of our customers to help them make an impression both at work and in life. We look for customer-centric people who bring ideas, visions and dreams and a passion to deliver on them regardless of department, title or tenure. If you’re a self-starter looking to make an impact, we offer highly rewarding opportunities to grow with us both personally and professionally.

Join some of the finest talent to deliver on our promise as one of the best industry-transforming – and career-transforming – companies in the world. Go to About Us to learn more.

Equal Opportunity Employer

Vistaprint, a Cimpress company, is an Equal Employment Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, national origin, gender, age, religion, sexual orientation, veteran status or marital status.
Vistaprint does not accept unsolicited candidate referrals or resumes / CVs from third-party vendors, including recruitment agencies. Only resumes received from contracted agencies/vendors will be considered. Vistaprint will not be responsible or liable for any fees or costs associated with such unsolicited submissions.