Principal Data Scientist I

• Work in a dynamic and innovative company to develop cutting-edge solutions
• Develop machine learning based applications using supervised and unsupervised models using R or Python that optimize and personalize customer experiences or reduce manual effort on our internal teams through automated decision making
• Develop and support models to enable things such as prescriptive insights, automated decisioning, and insights derived from large audio and text corpus.
• Develop experiments to understand model impact, monitor live model analytics, and manage training and retraining pipelines
• Work with stakeholders to intake complicated business problems and translate them into solvable data science projects.
• Partner with data engineering to take your model from development to deployed infrastructure
• Brainstorm future use cases and contribute to the learning culture of the data science team
• Partner with and mentor other data scientists and data analysts
• Partner with multiple marketing teams, manage multiple projects and help conceptualize applications that directly drive company growth and strategy.
• You will connect machine learning applications to business needs and help facilitate process changes based on algorithmic solution implementation

We'd love to hear from you if

• You have Data Science experience building and validating machine learning and forecasting models in R or Python
• You have experience in supervised and unsupervised model techniques such as random forest, gradient boosting, support vector machines, k-means and hierarchical clustering, causal models, mixture models and experience in advanced modeling techniques such as reinforcement learning, neural networks, and natural language modeling
• You have experience in delivering natural language projects utilizing techniques such as text summarization, topic modeling, entity extraction, semantic encoding, and valence analysis
• You have experience working in an agile business setting
• You have experience with relational cloud databases like BigQuery and Snowflake and are comfortable working with unstructured datasets such as unstructured text and audio.