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Sr Data Scientist

Company: West Coast Consulting LLC
Location: Costa Mesa
Posted on: November 24, 2020

Job Description:

Sr. Data Scientist- MOST IMPORTANT 4-5 years exp. Text analytics solid skills involved in solving problems, MESSY DATA Used to working complex problems with messagescrambled words, making sense of that ( think Starbucks and Twitter celebrity accounts) Process and normalizing text data TF ndash IDF and Word 2 VEC TF-IDF TFIDF usually is a two-fold normalizationSecond, IDF then is a cross-document normalization, that puts less weight on common terms, and more weight on rare terms, by normalizing (weighting) each word with the inverse in-corpus frequency Word 2 VEC Word2vec is a technique for natural language processing. The word2vec algorithm uses a neural network model to learn word associations from a large corpus of text. Once trained, such a model can detect synonymous words or suggest additional words for a partial sentence. Not looking for people who have exp with text analytics for clean data, meaning consumer reviews Have you solved problems and built systems to put into production? Created Algorithms , building machines and putting that into production. Worked with a model thru production Working with international teams is a huge plus, this person will be collaborating and working closely with the UK Bulgaria teams. ( during interview will meet with the Bulgari team) PHD in Economics or Linguistics 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 analysisinvestigations on the modelling pipeline Document parts of the modelingtesting 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 (AB 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 findingsactionable 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 hisher 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

Keywords: West Coast Consulting LLC, Costa Mesa , Sr Data Scientist, Hospitality & Tourism , Costa Mesa, California

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