Job Description

DATA SCIENTIST JOB ID# 41524 COSTA MESA, CA RESPONSIBILITIES

• Partner with various departments (e.g. Product, Engineering, etc.) to frame problems, both mathematically and within the business context
• Partner with Product and Engineering teams to bring models to production
• Debug Maintain, Tune, and Improve model behavior and performance with live data.
• Oversee and facilitate the training of a range of Machine Learning models,
• Evaluate the quality of the trained models, using existing and new measures
• Report on the current and historical state of our models performance, along with issues and progress,
• Incident resolution: Low accuracy troubleshooting, mis-categorization issue analysis
• Maintenance and improvement of the existing model development pipeline
• Produce ad-hoc analysis/investigations on the modelling pipeline
• Document parts of the modeling/testing process
• Support development, enhancement and maintenance of training datasets

ABOUT YOU

• At least 1 year on the job experience with Text Analytics and NLP (natural language processing) techniques and sparse data
• Advanced degree in economics, statistics, physics, math, or another quantitative field
• Strong grasp of probability, statistical inference, optimization algorithms, linear algebra, and calculus.
• Understanding of how and when to apply different Machine Learning algorithms
• Ability to write production-level code in Python, as well as proficiency with SQL
• Strong grasp of Pandas, NumPy, SciPy and Scikit-Learn Python packages, as well as other analytics packages in Python, or Spark
• Demonstrable analytical and problem-solving abilities, coupled with an enquiring mind and the ability to learn quickly
• Experience or familiarity designing and running both simulated and live experiments (A/B and multivariate tests) to drive KPI improvement
• Experience or 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
• Measure and optimize products and business processes; to identify opportunities, assess risk potentials and explain trends; to drive audience and revenue growth
• 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
• Assist in data requirements gathering and data validations to improve data platforms
• 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.