111 eCommerce Companies in Boston

As the Lead Data Scientist, you will be a “go-to” domain specialist in data science and machine learning, leading the charge on ground breaking work, mentoring more junior data scientists, and guiding the organization on methodology and best practices. You will also drive high-profile projects - not just delivering solutions, but helping to seek out new opportunities and own the creation of innovative solutions. Your statistical, computer science and business domain expertise will have a significant impact to our business from day one.

Creating reports and views to help other teams identify breakthrough insights. Partner cross-functionally with the business to understand organizational needs and propose solutions. Collaborate with domain-experts (website, manufacturing, customer care etc.) to understand the specifics of their domain and develop solutions for the business. Learn everything about management by exception and build models to detect out-of-the-norm fluctuations.

Build production grade data products including machine learning (for example product recommendation engines, elasticity-based pricing algorithms or automatic text generation for customer care requests) using technologies such as Snowflake, S3, Databricks (Spark), Matillion, Looker and more. Collaborate directly with analysts, data scientists, product owners and business specialists in a cross functional, agile, software development team. Integrate data products with Vistaprint’s suite of microservices for use in analytic solutions and customer facing features on our website or marketing channels. Provide feedback for new features to the Vistaprint Data Platform team.

Vistaprint’s Data and Analytics (DnA) organization is working to make our company one of the world’s most well-known and successful data-driven companies. The cross-functional team includes product owners, analysts, technologists, data engineers and more – all focused on providing Vistaprint with information and tools we can use to deliver jaw-dropping customer value. DnA team members are empowered to learn new skills, communicate openly and be active problem-solvers.

Manager of Release Engineering role is an experienced technologist and strategic partner to the application development, quality, operations, DevOps, automation, security, and infrastructure teams. Manager of Release Engineering will oversees the entire release lifecycle that takes a feature from initial idea to adoption by our customers in production for specific set of applications. This role will work with Product Development, Engineering and key stakeholders across specific set of applications to ensure on-time delivery and coordinate cross-departmental readiness for brand partners, business stakeholder, sales, marketing, implementation, training, and support