About the job
The Machine Learning Scientist will lead and collaborate with cross-functional teams to design, develop, and deploy sophisticated machine learning algorithms to enhance the performance of our business systems.
Responsibilities
Formulate end-to-end machine learning models by utilizing ML, NLP techniques to deal with real-world signals generated from privacy products/ incidents/ review areas.
Analyze extensive, complex datasets to extract meaningful insights, identify opportunities for improvement, and facilitate data-driven decision-making.
Design and execute experiments, testing and iterating on machine learning models to optimize recommendation functions and boost user satisfaction.
Communicate final recommendations and drive decision making.
Qualifications
Minimum
Requires a Bachelor's degree in Finance, Mathematics, Statistics, Operations Research or other related field and two years of experience in the job offered or in a machine learning-related role.
Solid background in NLP and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods.
Experience performing data extraction, cleaning, analysis and presentation for medium to large datasets
Experience with at least one programming language (i.e. Python, R, Java, or C++)
Experience writing SQL queries
Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, or ggplot2
Preferred
Experience with statistics methods such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis
Experience with data visualization libraries such as Matplotlib, Pyplot, ggplot2
Experience with machine learning libraries and deep learning toolkits such as PyTorch, Caffe2, TensorFlow, Keras or Theano.
Experience with Large Language Model is a plus.