Applied Scientist

As a Data and Applied Scientist in our team, you will: - Drive AI projects through their entire life cycle from idea creation through applied research, implementation, experimentation and finally to worldwide availability. - Perform rigorous experiments and evaluations to assess the quality and impact of your solutions and improve them based on data and customer feedback. - Communicate technical findings and insights effectively. - Integrate ML models into production systems, monitor and optimize their performance, troubleshoot issues, and iterate on improvements. Required qualifications: - Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience (e.g., statistics, predictive analytics, research) - OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field - OR equivalent experience. Preferred qualifications: - Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) - OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field - OR equivalent experience. - Experience in Python, PyTorch, TensorFlow, langchain, or other machine learning frameworks. - Relevant internship or prior work experience, e.g., statistics, predictive analytics, research, GenAI. Applied Sciences IC2 - The typical base pay range for this role across the U.S. is USD $84,200 - $165,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $109,000 - $180,400 per year. Certain roles may be eligible for benefits and other compensation.