Job Description

DATA ANALYST COSTA MESA, CA JOB ID# 41523 This role is to join a data analysis team managing data inputs and outputs for the our categorization System, including ongoing annotation and hands-on analysis of actual consumer records. Primary responsibility is to executes tasks and functions necessary to support continuous improvement in the generation of quality data categorization and standardization.

RESPONSIBILITIES

• Detailed analysis of consumer data and categorization results
• Refine requirements for Data pre and post processing
• Develop expertise in operation and understanding of categorization System
• Execute ad-hoc/daily/weekly Tasks required for operating and training categorization system
• Support Taxonomy requirements in partnership with product team
• Provide support for data science and analytics across enterprise user base
• Support development and operation of data standardization processes
• Monitor Operational KPIs and suggest necessary actions to address identified issues
• Review categorization corrections, updates and optimizations
• Support and contribute to documentation and standardization efforts
• Support assessment of immediate and long-term value of new data sources, including identification of missing consumer data/information elements
• Collaborate with business stakeholders and Artemis Engineering teams

ABOUT YOU

• Advanced degree in economics, statistics, physics, math, or another quantitative field
• Experience or understanding of Text Analytics and NLP (natural language processing) techniques and sparse data
• Familiarity with probability, statistical inference, optimization algorithms, linear algebra, and calculus.
• Familiarity with available and prevalent Machine Learning algorithms
• Ability to write code in Python, as well as proficiency with SQL
• Demonstrable analytical and problem-solving abilities, coupled with an enquiring mind and the ability to learn quickly
• Familiarity building supervised and unsupervised models using statistical or machine learning approaches
• Ability to creatively problem-solve, and to thrive in a highly collaborative, multidisciplinary environment
• Holistic and end to end approach to data, including querying, aggregation, deep analysis, visualization and models; communicate and present findings/actionable insights to audiences at varying levels of technical sophistication
• Flexible and adaptable to learn and understand new technologies
• Strong business acumen with ability to clearly articulate research goals and results to technical and business audiences
• Efficiently manage his/her own project queue and develop streamlined workflows

BONUS POINTS FOR

• Prior professional experience in the financial industry
• Ph.D. in economics, statistics, physics, math, or another quantitative field
• Ability to initiate and drive projects from ideation to implementation
• Prior professional experience building deep-learning models and familiarity with the popular frameworks (Tensorflow or PyTorch is a huge bonus)
• Experience with deep learning and other advanced modeling approaches to extract and automate insights from data
• Understanding of current trends in machine learning interpretability and transparency

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Company Description

Sharp Decisions is a talent solutions and consulting firm that helps clients overcome their most pressing challenges. For nearly 30 years, we have led companies both large and small through transformational times by offering the most advanced solutions available, from the most experienced people.