Data Scientist, Pathway

• Ready for hands-on contribution to the product, helping to ensure the success of demonstrators for clients, and contribution to product codebase
• Intuitive, with good visual taste, and good common sense judgment
• Committed to beautiful user-centered design: you know that stories are made for people, and you are willing to listen to what they have to say
• Curious at heart and thrilled to work with real-world data, especially spatio-temporal data
• Like trains, trucks, cranes, pythons, pandas, and other things that move
• Not afraid to switch between the roles of data scientist, data-vis magician, statistician, engineer, and detective, at a moment’s notice
• Have 2 years+ experience in positions related to Data Science
• Have a very good working knowledge of Python
• Know SQL. Are able to work with tables and other data types (arrays, json,…)
• Would be able to implement the Transit Node Routing algorithm in Python just based on reading its Wikipedia article
• Have experience with git, build systems, and CI/CD
• Have at least basic undergrad textbook familiarity with graph algorithms, finite automata, and text (string) search algorithms
• Understand statistical concepts, such as correlated random variables, significance, and non-Gaussian noise
• Prepared to be quizzed & grilled by the datasets you encounter, everyday. Here are some questions you should be able to answer off the top of your head: what can “-273.15” signify; why “65535” is a suspicious integer value; how many months does it take a containership to go around the world; and, roughly what order of g-force is attained by an astronaut in a space rocket at liftoff?
• Respectful of others

Desirable

• We are currently searching for Data Scientists with experience in the Python stack, to help explore and discover the most pertinent insights in datasets on spatio-temporal event streams. In this job, statistical rigor and beauty of visualization meet on equal footing
• Be working with spatiotemporal data with advanced schemas (time-changing graph models)/
• Be designing data cross-sections, proposing analytics metrics and KPI’s in line with clients’ objectives, selecting clustering algorithms, and preparing visualizations, to enable fast data exploration and insight discovery – all within our product
• Be designing dashboards in SQL with some Python elements/extensions
• Be directly helping us with Customer Conversion and Adoption within Customer organizations, by contributing to both deployment instances and “demonstrators” of our product, performed on client data sets
• Work directly with our Product Owner and CTO to propose and implement extensions to our product, based on repetitive client needs
• Depending on your seniority, implement machine learning algorithms on spatiotemporal event streams and other geospatial data