Senior Data Scientist - Experimentation

Senior Data Scientist - Experimentation

Why Valtech? We’re advisors, visionaries, creatives and techies. We embrace all things digital. We collaborate with each other. We have fun. We love our clients. We’re looking ahead. We are global.

The opportunity

At Valtech, we’ve got opportunities to offer you — for learning; for growing; for making world-changing impact; for being a real agent of change. Our global workforce exists to unlock a better way to experience the world, and that all starts with our workplace. We’re proud of:

• What we do
• Our values
• Our workplace
• The borderless framework we work in

The role

Valtech is looking to hire a Senior Data Scientist. Ideal candidates will have strong quantitative backgrounds and analytical discipline. While they will have some demonstrated ability to write code, they will not have learned programming languages for the sake of building their resume, but rather as a means to express their intellectual curiosity and analytical voice. Valtech will provide a platform and training to help them reach their full potential.

Role responsibilities

• Designing and deploying large-scale experiments for a retail client
• Developing and standardizing measurement methodologies
• Conducting deep dive analysis and designing KPIs to help guide business decisions and measure success
• Gathering stakeholder requirements and conducting technical due diligence toward designing pragmatic data-driven business solutions
• Collaborating with experienced data engineers, data scientists, and data architects to foster personal and team growth

Minimum qualifications

We want all new hires to succeed in their roles at Kin + Carta. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Minimum Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.

• Depth of knowledge in statistics and experimental design
• Experience with designing data models and ETL
• Coding skills in R and/or Python with familiarity with libraries covering core regression, classification, categorization and data visualization modeling
• Ability to effectively communicate technical topics to product owners, stakeholders and other business team members
• Proficiency (can execute data ingestion to insight) in programmatic languages such as SQL, Python, and R.
• Creative thinker, optimistic attitude and tenacious curiosity
• Strong attention to detail
• Strong verbal and written communication

Preferred qualifications

• Background in biostatistics or epidemiology
• Experience with crossover trial methodology
• Experience with data engineering and modeling using Databricks
• Linear optimization, constrain generation, and problem formation
• Experience working in an Agile Scrum development environment, or in a consulting capacity
• Experience with Azure, GCP, and/or AWS
• Experience with big data tools like Google BigQuery, Hadoop, Spark, Kafka, or Elasticsearch
• Certifications in Google Professional Data Engineer or Microsoft Azure Data Engineer Associate, Azure AI Engineer Associate are preferred

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, our global team of 6,500 professionals in more than 60 offices help brands unlock value in a digitally accelerated world. At the intersection of insights and perspectives, we leverage the power of data, AI, creativity, and technology to achieve experience innovation for many of the world’s best-known organizations, including L’Oreal, NatWest, DWP, P&G, Volkswagen, and US department of Agriculture.

Valtech will always be recognized not just for the quality of the work we deliver, but for all the amazing people that make it happen. We work to create an equitable workplace that gives people from all backgrounds the support they need to thrive, grow and meet their goals (whatever they may be). At Valtech, we don’t just talk about how to get things done; we transform by doing.