**Who You'll Work With**:
You will be based in our São Paulo or Rio de Janeiro office as part of our Quantumblack team, serving clients from the region but also globally.
You will work with other data scientists, data engineers, machine learning engineers, designers and project managers on interdisciplinary projects using maths, statistics and machine learning to derive structure and knowledge from raw data across various industry sectors.
**What You'll Do**:
As a Principal Data Scientist at QuantumBlack...
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organizations globally.
In this role, you will influence many of the recommendations our clients need to positively change their businesses and enhance performance. You will work on complex and extremely varied data sets from some of the world’s largest organizations to solve real world problems. You will develop data science products and solutions by writing highly optimized code to advance our internal Data Science Toolbox for clients, as well as for our data science team.
You will work through our clients’ entire data ecosystem to understand what’s available, what’s missing - and where to find and collect that information.
You will also work with specialists in machine learning, engineering and design and add real-world impact to your academic expertise. You will be encouraged to write ‘black’ papers and present at meetings and conferences should you wish.
Please submit your CV in English
**Qualifications**:
- Master's degree or PhD level in a relevant field such as computer science, machine learning, applied statistics, mathematics
- 10+ years of deep technical experience in distributed computing, machine learning and statistics related work
- Programming experience in languages such as Python, R, Scala, SQL
- Knowledge of distributed computing or NoSQL technologies is a plus
- Thought leadership or people leadership experience (e.g. managed project teams or direct reports)
Client-facing skills (e.g. working in close-knit teams on topics such as data warehousing, machine learning)
- Good presentation and communication skills with a knack for explaining complex analytical concepts to people from other fields
- Strong command of both the English and Portuguese language