Responsibilities
Client day-to-day management
Requirements gathering to define analytic objectives
Data gap analysis
Coordination of task execution with our global engineering team
Participation in development of data analysis plans
Implementation of data analysis plans, including the creation of visualizations, tabular reporting, data cleaning and preprocessing, fitting and evaluation of SML models, etc.
Maintenance and improvement of created platforms and/or models
Writing client-facing reports and contributing to proposal work
Work related travel as needed (2-3 times per quarter)
Ideal Candidate Qualifications
3-5 years of data science/software development experience
Strong background in Machine Learning and AI
Solid training in probability and statistics
Experience with managing big datasets
Excellent communication and writing skills
Proficiency in Python, R, Java, Tableau or similar
A Master's degree is preferred
Nice to have
Experience with QA/NLP
Experience with AWS, Google Cloud, etc.
Proficiency in RDBMS, NoSQL
Proficiency in Java, RDBMS
Experience with Assembla