Datavant is looking for a Data Scientist to build machine learning models for use across Datavant in multiple verticals and for multiple customer types, playing a crucial role in developing new product features and automating existing internal processes to drive innovation across Datavant.
Requirements
- 4+ years of experience with data science and machine learning in an industry setting.
- 4+ years experience with Python.
- Experience designing and building NLP models for tasks such as classification, named-entity recognition, and dependency parsing.
- Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc.
- Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow.
Responsibilities
- Play a key role in the success of our products by developing models for NLP (and other) tasks.
- Perform error analysis, data cleaning, and other related tasks to improve models.
- Collaborate with your team by making recommendations for the development roadmap of a capability.
- Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines.
- Understand product use-cases and define key performance metrics for models according to business requirements.
- Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.).
Other
- Advanced degree in computer science, data science, statistics, or a related field, or equivalent work experience.
- Demonstrated ability to drive results in a team environment and contribute to team decision-making in the face of ambiguity.
- Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines.
- Initiative and ability to independently explore and research novel topics and concepts as they arise.
- This job is not eligible for employment sponsorship.
