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💸 164880.0 - 300000.0 USD per year
🔍 Mental Health and Wellness
🏢 Company: Headspace👥 11-50WellnessHealth CareChild Care
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. PhD is a plus.
- 15+ years of experience in data engineering, data science, and AI, with at least 5 years in a leadership role.
- Proven track record of successfully leading data engineering and AI teams.
- Familiarity with AI research and development tools and platforms.
- Strong analytical and problem-solving skills.
- Extensive experience with machine learning frameworks, generative AI technologies, and big data platforms.
- Strong understanding of data architecture, governance, and security best practices.
- Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
- Knowledge of programming languages such as Python, R, Java, and SQL.
- Experience in big data technologies (Redshift, S3, Databricks, Datalakes, Spark).
- Working experience in Looker/Tableau/Amplitude/CoreMetrics.
- Oversee the design, development, and maintenance of scalable data pipelines and infrastructure.
- Ensure data quality, integrity, and security across all data systems.
- Drive the research, development, and deployment of AI and machine learning models.
- Ensure integration of AI solutions into existing processes.
- Develop the strategic vision for data analytics and guide analytical methodologies.
AWSPythonSQLArtificial IntelligenceETLMachine LearningTableauData engineeringData modelingData analytics
Posted about 1 month ago
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