Data Scientist
Skills
- Proficiency in Python for data analysis and machine learning.
- Experience with SQL for querying and manipulating databases.
- Experience deploying machine learning models in production environments.
- Understanding of statistical methods and experimental design.
- Familiarity with AWS or other cloud services.
- Strong communication skills to present data insights to non-technical stakeholders.
Responsibilities
- Develop and deploy predictive models and machine learning solutions to optimize business processes and enable new products.
- Analyze large, complex datasets to generate actionable insights and improve operational efficiency.
- Collaborate with product, engineering, and business teams to integrate data science solutions.
- Design and execute experiments to validate and enhance product and business initiatives.
- Improve data quality, model performance, and data governance.
- Maintain and optimize scalable data pipelines and analytical processes.
- Stay updated on emerging trends in data science and machine learning.
Education
- Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
Benefits
- Collaborative and fast-paced team environment.
- Opportunity to work with a diverse, expert team including PhDs and industry specialists.
- Recognition as a top workplace nationally and in Austin.
- Supportive culture focused on innovation, ownership, and customer obsession.
- Venture-backed stability with strong growth trajectory.
Average salary estimate
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