fanduel · New York City
Skills: Python, C#/.NET, SQL
THE POSITION Our roster has an opening with your name on it FanDuel is looking for an Analytics Engineer who will be responsible for designing, building, maintaining, and improving the data models, datasets and data visualizations which are and will be used by data scientists, analysts and stakeholders to power business performance impacting decisions in Generosity/Promotional Spend. This is a great opportunity for somebody who wants to work in an environment where curiosity is rewarded and people are empowered to make decisions. The ideal candidate will have a passion for continual learning and developing innovative solutions to business problems. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs. THE GAME PLAN Everyone on our team has a part to play Work with Data Scientists and Data Engineers to optimize data pipelines and feature engineering for reporting, analysis, classification and prediction models Manage data transformation jobs for relevant data, ensure completion on schedule, optimize code, troubleshoot any issues Optimize modeled metric pipelines, streamline execution times and prioritizations, reduce query execution times where possible, remove unnecessary or unused metrics Leverage AI to accelerate and enhance your work, taking care to ensure high integrity, managing AI risk of error, and maintaining excellent understanding of AI output to avoid blind trust. Build a strong understanding of Sportsbook Generosity Distribution strategy, our customers behaviors and preferences, and your stakeholders objectives, to support collaboration, and focus on delivering impactful output and ideation Through idea generation and exploratory analysis, develop new and innovative ways to turn behaviors into features for use in analysis, segmentation and predictive modeling Maintain busine…
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