Data Scientist - Lead Consultant

November 14

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Allstate

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Auto Insurance • Life Insurance • Retirement Planning • Homeowners Insurance • Motorcycle Insurance

10,000+ employees

Founded 1931

💰 Post-IPO Equity on 2014-01

Description

• As an advertising data scientist at Arity, you will lead the development of machine learning algorithms on both 1st party driving data and ad platform data • You are expected to make key technical decisions about how to implement machine learning models including both traditional and deep learning models • You will personally prototype these solutions and work with product owners, data/software engineers, and other partners for productionization and KPI measurement

Requirements

• Master’s or PhD degree in a machine learning/AI related field such as engineering, statistics, computer science, physics, or related discipline • 5+ years of industry experience in data science, data analytics, and machine learning in advertising domain • Deep experience in digital advertising including systems, measurement sciences, and principled incrementality approaches and passion for incentive challenges • Experience with ad auctions (RTB platform) such as dynamic bidding strategy, ad ranking, and experimentation on the advertising platform • Advanced knowledge in predictive models such as parameterized methods, ensemble algorithms, deep neural network, and reinforcement learning algorithms such as multi-armed bandit algorithms, Q-learning, deep reinforcement learning • Demonstrated experience using Python and Spark for big data query/processing and engineering skills for productionizing the solution • Experience with scientific computing libraries Scikit-learn, TensorFlow, PyTorch, and Spark ML-lib • Over 5 years' experience with developing end-to-end machine learning solutions/algorithms including model development, deployment, monitoring, and life-cycle management on the advertising platform • Ability to translate product requirement into well-defined analytical problems and produce feasible solutions • Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to stakeholders with different levels of expertise