The ideal candidate's must have deep technical experience working with technologies related to artificial intelligence, natural language procesing machine learning and/or deep learning. A strong mathematics and statistics background is required, in addition to experience building complex classification models. You must be familiar with the ecosystem of software vendors in the AI/ML space.

Candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. 

Responsibilities

• Analyze raw data: assessing quality, cleansing, structuring for downstream processing
• Design accurate and scalable prediction algorithms
• Collaborate with engineering team to bring analytical prototypes to production
• Generate actionable insights for business improvements

Qualifications

• Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• At least 2 -3 years' of experience in quantitative analytics or data modeling
• Deep experience with AI/ML platforms
• Working knowledge of things like Sci-kit Learn, Tensorflow
• Scaling out ecosystems in the ML/AI space
• Strong expertise with classification models
• Solid grounding in statistics, probability theory, data modeling, machine learning algorithms, natural language procesing and software development techniques and languages used to implement analytics solutions
• Deep experience with data modeling and analytics solution stacks
• Technical consulting and architecture with large-scale engagements
• Experience using and adapting to new technologies
• Demonstrated ability to think strategically about business, product, and technical challenges
• Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, artificial Intelligence, natural language procesing and algorithms
• Fluency in a programming language (Python, C, C++, Java, SQL, Postgre)
• Familiarity with AI Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)