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Key job responsibilities
As a strategic Principal Scientist, you will interact frequently with senior leadership, identify investment opportunities, develop long-term strategies, and propose, influence prioritization, and deliver on goals. You will define organizational success measures and be technically fearless with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development, from conception and design to implementation, testing, documentation, delivery, and maintenance.
You will also play a pivotal role in career development and mentoring and actively contribute to the hiring process.
• MS in Mathematics, Statistics, Machine Learning, or a related quantitative field, or equivalent 10+ years of practical experience applying modeling or machine learning to solve complex problems for large-scale applications
• 7+ years industry experience building successful production science solutions
• Deep understanding and practical experience in several of the following areas: machine learning, statistics, causal inference and recommendation systems
• Excellent problem-solving skills with the ability to design algorithms, which may include data profiling, clustering, anomaly detection, predictive modeling methodologies and more
• Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences.
• PhD in Mathematics, Statistics, Machine Learning, or a related quantitative field
• Experience in data applications using large scale distributed systems (e.g. EMR, Spark, Elasticsearch, Hadoop, Pig, Hive) and AWS platforms such as S3, Glue, Athena, Sagemaker.
• Previously held a technical leadership role for several complete large-scale initiatives
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