Data Scientist

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch

Job Description

We are currently looking for a Data Scientist to join our Data & Analytics practice in Glendale, CA. 

The Data Scientist will use both business domain and technical skills to establish empathy and understanding with a business owner in order to propose meaningful solutions with a measurable outcome.

The Data Scientist will build models that explain the real world using a combination of intuition, math and programming. They will be a subject matter expert on algorithms that fit the problem set and be exceptional at breaking down complex systems into solvable components.

Responsibilities

• Responsible for applying statistical and model rigor to any deliverable yet balancing with calculated trade-offs
• SME on algorithms and designs code that can be refactored easily by a data engineer or used by a data analyst
• Builds repo and maintains a library of models that can be applied/refactored on similar design patterns
• Expert in both unstructured and structured data set ingestion and classification, regression, SVM, deep learning etc.
• Mentors and trains teams in new techniques and pushes boundaries of existing technology to deliver enterprise value
• Owns the Confluence knowledge repository and GitHub model repo
• Refresh and update models as needed. 
• Thought leader on how to converge available data, transfer learning from other projects and test new algorithms that optimize across large, ambiguous data sets

Qualifications

• Bachelors in STEM fields such as physics, social/economics, or business with a strong technical acumen required
• Masters and/or PhD degree preferred
• 4-6 years of experience or any equivalent of experience and post graduate education

Knowledge Skills & Abilities

• Strong verbal communication skills: ability to effectively communicate cross functionally
• Strong command of applied math (linear/matrix functions) with deep learning theory and practice; Both frequentist or Bayesian welcome 
• Proficiency with programming and scripting languages: Python/R, SQL and C#/++
• Experience with analytic frameworks and open source libraries
• Passionate about thinking through problems and solving them
• Realistic view of AI and understanding of how to use deep learning in real-world situations