Senior Data Scientist

What You'll Do:

• 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.

What You'll Need:

• 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.