Location: Dallas, US
Job Summary:
Job Duties and Scope
- Design solutions to complex and ambiguous data challenges.
- Apply Machine Learning to solve data problems at scale, including record matching.
- Develop quantitative models using internal and third-party data to address business questions.
- Create human-in-the-loop workflows to enhance ML solutions.
- Utilize AWS technologies like Sagemaker, EMR, S3, and more.
- Employ Natural Language Processing to extract insights from unstructured data.
Required Skills
- Proficiency in data querying languages (e.g., SQL).
- Experience with scripting languages (e.g., Python).
- Knowledge of machine learning and statistical modeling tools.
Required Experiences
- 2+ years as a data scientist.
- 3+ years using querying and scripting languages or statistical software.
- Experience in applying theoretical models in practical environments.
Job URLs: