Senior Data Scientist - Experimentation

The opportunity

At Valtech (legacy Kin + Carta), 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 Valtech. 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

The benefits 

This is a full-time, salaried position in the United States. The salary range offered for this position is $X-$X annually, depending on experience and location. 

Beyond a competitive full compensation package, we pride ourselves on offering you flexibility, career advancement & learning and development. Our benefits are country specific to cater to the needs of our people so your talent partner will be able to run through the benefits for your location on the screening call.  

Your process