- At least 5 years of experience as a senior leader and managing Data Engineering and Data Science Team members.8+ years of software engineering experience and a proven track record of successfully architecting and taking ML systems to production.Designed and built multiple complex, scalable, high throughput, low latency streaming/batch processing machine learning pipelines for both data flows and algorithm executionAbility to explain and present analyses anAt least 5 years of experience as a senior leader and managing Data Engineering and Data Science Team members.8+ years of software engineering experience and a proven track record of successfully architecting and taking ML systems to production.Designed and built multiple complex, scalable, high throughput, low latency streaming/batch processing machine learning pipelines for both data flows and algorithm executionAbility to explain and present analyses an
- 7+ years of advanced hands-on data science & analytics experience using Python and R; good exposure to SQL (joints, sort procedures’) - Knowledge and experience applying common data science methods, including linear models, tree-based models, SVMs, ensemble methods (e.g., random forest), and unsupervised/clustering methods - Experience working with tools like Spark and Data bricks - Experience in Data analysis using Machine Learning techn7+ years of advanced hands-on data science & analytics experience using Python and R; good exposure to SQL (joints, sort procedures’) - Knowledge and experience applying common data science methods, including linear models, tree-based models, SVMs, ensemble methods (e.g., random forest), and unsupervised/clustering methods - Experience working with tools like Spark and Data bricks - Experience in Data analysis using Machine Learning techn
- 5+ experience in - Proficiency in at least one programming language commonly used in ML, such as Python/R - Experience with data manipulation libraries like Pandas and NumPy. -Must Have experience working with about Snowflake, Data Brics & Azure - Strong understanding and practical experience with popular ML libraries and frameworks, such as TensorFlow or PyTorch. - Familiarity with scikit-learn for traditional machine learning algorithms. - Understanding5+ experience in - Proficiency in at least one programming language commonly used in ML, such as Python/R - Experience with data manipulation libraries like Pandas and NumPy. -Must Have experience working with about Snowflake, Data Brics & Azure - Strong understanding and practical experience with popular ML libraries and frameworks, such as TensorFlow or PyTorch. - Familiarity with scikit-learn for traditional machine learning algorithms. - Understanding
