Senior Data Scientist - Remote, Spain

Our Team

At Vista Engineering, we are on a mission to become industry-leading in engineering, data, and analytics to create products and services that empower small business owners across the globe in the areas of marketing and design. The Marketing Optimization domain within Vista Engineering focuses on delivering marketing intelligence to power engaging, effective and efficient communication with customers.

As part of the Marketing Optimization domain, you'll join a cross-functional product team named SPACE, a team of seven problem-solving, fun-loving enthusiasts spread across Europe and Boston. Our mission? To optimize our spending in digital channels, such as Paid Search. We're revolutionizing our media campaigns using data, powerful analytics tools, ground breaking technology, and a touch of engineering magic. We have a successful product, but we strive to employ more sophisticated Data Science techniques to help us scale, and we need your help! Joining SPACE means joining a diverse and talented team where each member significantly contributes to our collective success.

What You Will Do

• Bring advanced Machine Learning techniques into SPACE's suite of data products, driving progressive solutions for our digital marketing spend.
• Collaborate closely with stakeholders across the business, understanding the problems we are solving, defining success metrics, and effectively communicating methodologies and results.
• Build new models and algorithms; as well as provide suggestions and help improve the effectiveness of our existing solutions.
• Champion innovation by generating and implementing new ideas, using the collective expertise of Vista Engineering to turn concepts into actionable data products.
• Contribute to a roadmap creating data products our customers love.

Your Qualifications

• 3+ years of Machine Learning models development experience.
• Knowledge of Deep Learning, including Recurrent Neural Networks and Reinforcement Learning (typical Python libraries include TensorFlow, Keras, PyTorch, OpenAI, RLlib).
• Excellent programming skills in SQL and Python.
• Strength in clarifying and formalizing complex problems.
• Degree or equivalent experience in Computer Science, Applied Maths/Statistics or another quantitative field.

Nice To Have

• Experience in the productionalization of Data Science solutions (model deployment, monitoring).
• Good knowledge of dashboard creation tools (e.g., H2O Wave, Streamlit).
• Relevant work experience in an Agile environment.
• Previous experience in the marketing domain.

Why You'll Love Working Here

There is a lot to love about working at Vista. We are an award winning Remote-First company. We’re an inclusive community. We’re growing (which means you can too). And to help orient us all in the same direction, we have our Vista Behaviors which exemplify the behavioral attributes that make us a culturally strong and high-performing team.

About Us

Vista is the design and marketing partner to millions of small businesses around the world. For over 20 years we’ve been inspired by small businesses, and we work incessantly to deliver solutions to their evolving needs. VistaCreate, 99designs by Vista and VistaPrint, all under the parent brand Vista, represent a full-service design, digital and print solution, elevating small businesses’ presence in physical and digital spaces and powering them to achieve success.

Commitment To Diversity, Equity, & Inclusion

Vista exists to help our customers live their dreams. Each dream is unique – and the Vista team needs to be as well. We believe in the unique contributions of everyone within a diverse global organization. We are collaborative, inclusive, and innovative. We strive to role model and live an inclusive culture of fairness, respect and belonging for all. And we work together to empower each other, creating a space in which each of us can spark our next great idea.

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.