Responsibilities
• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Doing ad-hoc analysis and presenting results in a clear manner
• Optimize application for maximum speed and scalability
• Assure that all user input is validated before submitting code
• Collaborate with other team members and stakeholders
• Taking ownership of features and accountability (Must have)
Skills and Qualifications
• 2+ years’ experience in developing Data Models, Data Science
• Excellent understanding of machine learning techniques and algorithms, such as k- NN, Naive Bayes, SVM, Decision Forests, etc.
• Proficient understanding of Python or PySpark
• Basic understanding of Java and databases such as MongoDB or MySQL
• Strong knowledge of GCP (google cloud platform) stack such as dataflow, data studio, big query, Tensorflow
• GCP certified data engineers are highly preferred
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Ability to provide accurate estimates for tasks and detailed breakdowns for
planning and managing sprints
Personal Qualities
• An ability to perform well in a fast-paced environment
• Excellent analytical and multitasking skills
• Stays up-to-date on emerging technologies
• Data-oriented personality
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