AvePoint is seeking an analytical and innovative Data Scientist to join their Data & AI team. The role will play a key role in developing and deploying advanced machine learning models to solve real-world business challenges, optimize data pipelines, extract actionable insights, and shape the future of intelligent solutions at AvePoint.
Requirements
- 10+ years of hands-on machine learning experience, including building, evaluating, and streamlining data-driven models for business use.
- Proficiency with Python and major ML/data libraries (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch).
- Strong background in data wrangling, cleansing, feature engineering, and ETL pipeline development.
- Practical experience deploying models in a cloud or distributed environment.
Responsibilities
- Design, build, and deploy machine learning models leveraging structured and unstructured data.
- Shape and engineer data pipelines for optimal model performance and production-grade scalability.
- Collaborate cross-functionally with engineers, researchers, and product teams to define requirements and deliver impactful AI/ML solutions.
- Analyze experimental data, conduct model validation, and continuously improve accuracy and robustness.
- Document methodologies and results, presenting findings to both technical and non-technical stakeholders.
- Stay up-to-date with the latest advancements in machine learning and data science best practices.
- Support operationalizing models within AvePoint’s ecosystem, ensuring responsible data handling and compliance.
Other
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or related field (PhD not required, but a strong plus).
- Commitment to excellence and continual professional development.
- Excellent analytical, problem-solving, and communication skills.
- Initiative and ownership in research and project execution.
- Collaboration with diverse, global teams.
