Senior Data Scientist

April 18

Dave

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Dave is the finance version of David and Goliath taking on the big banks and helping millions with money challenges.

201 - 500

Description

• Be constantly curious and continue to pursue in-depth explorations of our datasets • Collaborate with key stakeholders to understand the business problems, ideate ML solutions, and effectively communicate with stakeholders • Research, develop, and apply ML/AI solutions to solve business problems, including prediction, optimization, segmentation, and more • Perform in-depth analysis and optimization of state-of-the-art ML models to ensure the best performance on current and next-generation GPU, network, and compute architectures • Partner with Engineering and Product teams to develop and deploy ML solutions into product features • Continuous monitoring and evaluation of model performance and communication to the relevant stakeholders • Conduct model related analyses to provide comprehensive insights about ML solutions

Requirements

• BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Mathematics, Statistics, or other STEM fields • 4+ years of modeling and machine learning experience to build ML-driven products for solving business problems eg. prediction, optimization, segmentation, etc. • 4+ years experience as an ML scientist/engineer with proven ability in developing ML models in Python/R • Experience with ML/DL algorithms with frameworks such as TensorFlow, PyTorch, Spark, and cloud platforms • Ability to communicate your ideas/code clearly to business stakeholders • Enjoy working with multiple levels and teams across organizations (engineering, product, and marketing teams etc.) • Effective verbal/written communication and technical presentation skills • Self-starter with a passion for growth, enthusiasm for continuous learning, and sharing findings across the team • Experience in Financial Services or FinTech • ML model deployment in production experience is a plus • Experience in underwriting and/or settlement is a plus

Benefits

• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service