Location: Riga, Latvia. I'm flexible about timezones for remote work.
Remote: Yes, preferred. I have prior remote/asynchronous work experience.
Willing to relocate: Yes, after the pandemic situation calms down a bit - to any major European city, or AUS/NZ/CAN.
Technologies: SQL, NoSQL, fluent in both R and Python, can do decent amount of infrastructure/devops work (data-oriented) over AWS, GCP, or in-house metal. Some choice technology bits: pandas, data.table, dbt, tidyverse, Shiny, Dash, Tableau, KNIME, H2O, scikit-learn, LightGBM, caret, TensorFlow, PostgreSQL, MongoDB, Docker, Jupyter, PyCharm.
Résumé/CV: Details over email, in brief - end-to-end, hands-on data science lead with FinTech background. I specialise in real time application of predictive machine learning/artificial intelligence models, and I am decently well versed in data engineering and business intelligence.
Emai: arthur_st {at] fastmail /dot) com
Looking for opportunities in data science, machine learning/artificial intelligence, and possibly data engineering, if the fit is right.