Transform data into relevant insights to inspire business success at Avalara
Requirements
- Proficiency in programming languages such as Python, SQL, and experience with data manipulation libraries and frameworks
- Experience of data warehousing concepts and experience with data warehousing technologies (e.g., AWS Redshift, Google BigQuery, Snowflake)
- Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
- Familiarity with data visualization tools (e.g., Tableau, Power BI) and dashboard development
- Minimum of 4 years of experience in data engineering or data science roles, with experience delivering impactful solutions
- Experience translating complex findings to non-technical partners
- Bachelor's degree in Computer Science, Data Science, or a related field
Responsibilities
- Data Analysis: Use advanced statistical and machine learning techniques to analyze large datasets, identify trends, and extract relevant insights.
- Model Development: Build machine learning models and algorithms to solve complex business problems.
- Data Engineering: Collaborate with data engineers to ensure data availability, quality, and reliability for modeling purposes. Develop data pipelines and workflows.
- Experimentation: Plan and complete A/B tests and experiments to evaluate the effectiveness of algorithms, and strategies.
- Collaboration: Work with teams to maximize the growth of our internal data products.
- Communication: Present insights to all partners, providing guidance on data-driven decision-making processes.
- Research and Progress: Stay up-to-date with the latest developments in data science, AI, and machine learning, and apply new techniques to enhance our products and services
Other
- Minimum of 4 years of experience in data engineering or data science roles, with experience delivering impactful solutions
- Bachelor's degree in Computer Science, Data Science, or a related field
- This role is not eligible for visa sponsorship
- This is a remote opportunity
- Paid time off, and paid parental leave
