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As an applied scientist on our team, you will work with business leaders, scientists, and economists to translate business and functional requirements into concrete deliverables, define the science vision and translate it into specific plans for applied scientists, as well as engineering and product teams. You will partner with scientists, economists, and engineers on the design, development, testing, and deployment of scalable ML and econometric models. This is a unique, high visibility opportunity for someone who wants to have impact, dive deep into large-scale solutions, enable measurable actions on the employee experience, and work closely with scientists and economists. This role combines science leadership, organizational ability, and technical strength.Key job responsibilities
- Master's Degree in machine learning, recommender systems, statistics, computer science, operations research, or other highly relevant field.
- Three or more years’ experience applying ML to solve complex problems for large-scale applications.
- One or more years of experience specifically with deep learning (e.g., CNN, RNN, LSTM).
- Experience using Python or other programming languages.
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