Why it Matters: This Data Scientist will play a key role in helping us improve our ML features and applications. In this role, you will work closely with product teams to understand the problems they are trying to solve and convert those problems into functions that can be optimized with machine learning. In this role, you will make an impact on Axios through the following responsibilities:
Working closely with product teams to understand the problems they are trying to solve, converting those problems into functions that can be optimized with machine learning, and developing transparent metrics to understand and monitor model performance
Evaluating and selecting appropriate datasets for both supervised and unsupervised machine learning problems
Find and implement the best methodological approaches and tools
Research and develop machine learning methods for a wide range of tasks that primarily fall within natural language processing
Train, evaluate, monitor and iterate on models to be used in production applications
Perform statistical analyses to refine model performance and communicate the results to product teams and stakeholders
Developing transparent metrics to understand and monitor model performance
Extending our python libraries
Remaining up to date on the new and state of the art applications of machine learning
The Details: Ideal candidates will embody an entrepreneurial spirit, a passion for Axios’ mission and have the following skills:
Highly collaborative and comfortable working on a distributed team
Self-motivated with high attention to detail, ability to think critically and problem solve
Ability to learn new technologies and experience delivering on a wide range of data science projects
Highly analytical with solid experience in analysis, math and statistics
Proven experience as a data scientist or similar role
Experience applying appropriate analytical methods and experimental design (training models, feature development, regression testing)
Understanding of NLP techniques for text representation and semantic extraction
Excellent programming skills in Python/SQL
Comfortable with Jupyter Notebooks, and experience with machine learning frameworks (like PyTorch, Tensorflow), Python libraries (like scikit-learn, HuggingFace) and GPU-accelerated computing
Ability to write robust and testable code
Excellent communication skills