Software Engineer II - QuantumBlack Labs

Bachelor's, Master's, or PhD degree in Computer Science, Machine Learning, Applied Statistics, Mathematics, Engineering, Physics, or other technical fields

Up to 2 years of professional experience applying machine learning and data mining techniques to real-world problems with substantial data sets

Programming experience (focus on machine learning): R and/or Python, with SPSS, SAS, or similar tools considered nice-to-have

Ability to prototype statistical analysis and modeling algorithms and apply them to develop data-driven solutions in new domains

Ability to independently own and drive model development while balancing competing demands and deadlines

Demonstrated aptitude for analytics and a passion for solving complex data challenges

While we advocate using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro (our open-source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions such as AWS, GCP, and Azure

Experience with Generative AI (GenAI) and agentic systems would be considered a strong plus

Excellent time management and organizational skills to succeed in a complex and largely autonomous work environment

Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other fields

Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adapt to different audiences and seniority levels

Willingness to travel

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World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

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