In this role you will apply, develop, implement and execute programmatic statistical analyses (descriptive, exploratory and inferential) and methods based on a broad variety of data sources. Summarizing key findings and presenting results in a user-friendly way are an integral part of this position as well. We are looking for someone who shares our enthusiasm for designing data-driven solutions and who likes to work in a small, high-performance and collaborative environment.
You are a self-motivated team player with practical skills in data manipulation, analysis design, and insights generation. You have an ability to learn and grasp new concepts and technologies quickly and a high degree of independence. You are resourceful, proactive, curious, and a clear and creative thinker, interested in using data and analytics to support data-driven solutions across a variety of domains.
Master’s degree in Computer Science/Statistics/Econometrics, or related field with a quantitative focus (such as Mathematics/Physics). Holding a Ph.D. degree in the relevant fields is an advantage
Strong modelling skills and statistics knowledge are essential
1+ years’ experience with programmatic data analysis (preferably using Python)
Experience in OOP. Knowledge of C/C++ is a plus
Solid understanding of database systems (relational and non-relational)
Experience in working with real-world datasets, including data source aggregation, data cleaning/reshaping/management and advanced data analysis
Experience in data visualization and presentation of results
Experience with predictive modelling and machine/deep learning is a big advantage
Excellent proficiency in English, both written and spoken
Import, clean, join and analyze large datasets to support ongoing research projects and ad hoc client requests
Apply, develop and improve methods and best practices in various areas of data sciences, particularly machine learning
Support and coordinate data science projects, innovations and research initiatives
Work with our development teams to design and implement automated data science technologies in support of client deliverables
Visualize and clearly communicate advanced analytical information to make client friendly recommendations