Allstate · 2 days ago

Data Scientist Lead Consultant

US - Remote

Full-time

Remote

Senior Level

$122K/yr - $207K/yr

5+ years exp

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Responsibilities

Be a thought partner in the area of experimentation for Ads Platform, and autonomously identify and pursue research with significant business impact on KPIs

Analyzing large amount of data sets using distributed computing frameworks

Building advanced algorithm and machine learning models using a variety of libraries/tools and cutting-edge techniques

Identifying opportunities for new machine learning solutions, exploring new data sources for enrichment, collecting appropriate labels for learning, establishing actionable metrics, and creating reusable model validations and risk mitigation

Communicating results to key stakeholders in a clear and compelling manner

Establishing and following data science best practices including peer review, code review, documentation, coding standards, and ensuring reproducibility and compliance

Working with product and engineering partners for model handoff and productionization

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningData SciencePythonDigital AdvertisingPredictive ModelingDeep LearningBig DataAd AuctionsSparkTensorFlowPyTorchScikit-learnReinforcement LearningA/B TestingCloud Data WarehouseGeospatial DataControl Theory

Required

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