Lead Data scientist

Lead Data Scientist, Care & CX

Who We Are:

Vista's Engineering 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 analysts, software and data engineers, architects, data scientists, product owners, and more - all passionate about providing Vista with solutions, insights, and tools to develop products and services customers love. Vista Engineering team members are empowered to learn new skills, communicate openly, and be active problem-solvers. We work in close collaboration with our partners in the business, Customer Service, Product Development, and Marketing as we embark on an exciting journey to upgrade our customer service with advanced analytics. Vista is a leader in custom designs and professional marketing for small businesses and offers phenomenal customer service. Our goal is to empower our teams with innovative data analytics solutions and actionable insights, enabling them to deliver an exceptional customer experience and drive continuous improvement.

What You Will Do:

• Support team on an exciting journey of innovation and impact, leading the application of Gen AI models to tackle strategic and transformative challenges for Vista. 

• Utilize diverse data sources, including text, website and shopping behavior data. 

• Embrace the opportunity to work with cutting-edge technologies and shape the future of data-driven solutions in a dynamic and collaborative environment.

• Engage with business partners to collaborate around analytical project requirements, define success metrics, explain methodologies and results, and negotiate deliverables.

• Help to design the architecture of the solution

• Bring new ideas to the table; take your idea and turn it into a full-fledged data product with the support of the broader Vista Tech and data team.

• Contribute to a roadmap making customer experience data products a core capability at Vista.

• Keep yourself up to date with the latest developments in the area of AI to help the team stay innovative and impactful. 

• Degree in Computer Science, Math/Statistics, or another related field

• 5+ years of Data Science models development experience

• Experience with NLP, semantic search, entity extraction, and summarization

• Experience with AI-driven chatbots

• Ability to refine and retrain LLMs 

• Prompt engineering for LLMs

• Keen to test new solutions for the business impact and recommend relevant models for business problems

• Excellent programming skills in Python, Spark, and SQL

• Good understanding of key data science models and algorithms along with a comprehensive project portfolio

• Entrepreneurial mindset and experience launching new data products

• Strength in clarifying and formalizing complex problems

• Good knowledge of data visualization theory and tools (e.g. Tableau, Looker)

• Relevant work experience in an agile eCommerce environment

• Comfortable working in a cross-functional team to “productionize” your work

• Experience with MLOps

We strive to give you everything you need to learn, grow, and succeed and take a step forward in your learning journey and your life. Through constant learning, collaboration, and perpetual exposure to what’s next, we’re always pushing boundaries and broadening our horizons.

At Vista, we put great importance into the well-being of our employees, which is why we offer perks that ensure an excellent work/life balance.

As an e-commerce powerhouse, Vista is a dynamic organization that maintains an exciting, entrepreneurial culture. With founder Robert Keane’s as chairman and Florian Baumgartner as as CEO, we’ve renewed our focus on empowering and helping small businesses. To do this, we create customer value (and delight) through accessible, cutting-edge technology. We thrive on providing opportunities for exploration, collaboration, innovation, and growth – for both our customers and our team.

Equal Opportunity Employer:

Vista, a Cimpress company, is an Equal Employment Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, sex, national or ethnic origin, nationality, age, religion, citizenship, disability, medical condition, sexual orientation, gender identity, gender presentation, legal or preferred name, marital status, pregnancy, family structure, veteran status or any other basis protected by human rights laws or regulations. This list is not exhaustive and, in fact, in many cases, we strive to do more than the law requires.