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- Work independently on data science projects for multiple business functions
- Identify and frame the data science opportunity from understanding the business problem / opportunity
- Gather, cleanse, and transform internal and external data
- Analyze data and deliver insights via visualizations and dashboards
- Create predictive models, productionize, and maintain machine learning models that address business problems
- Present, explain and defend results from analysis and modeling, and approach taken
- Participate in strategic planning discussions around data science and big data
- 5+ years of practical experience framing and solving data science problems
- 5+ years of hands on experience with applied statistics and/or machine learning
- 5+ years of experience solving problems with Python, pandas, scikit-learn
- 3+ years of experience solving NLP, text and content analytics problems
- 3+ years of experience with TensorFlow, PyTorch or other deep learning technologies
- 3+ years of experience developing visualizations with Python libs, Spotfire or Power BI
- 3+ years of experience applying descriptive and inferential statistics to real world problems
- 3+ years of experience building software source control, software architecture and design, data structures and algorithms
- Professional experience with Google Cloud Platform (Google Cloud Platform) - BigQuery, etc is a plus
- Professional experience working in the consumer media and publishing domain is a plus
- Professional experience modeling customer churn and/or conversion is a plus
- Professional experience using ML Transformers is a plus
- Professional experience building recommender systems is a plus
- Ability to adapt in a rapidly changing environment
- Ability to communicate insights and approaches in a simple, actionable manner
- Ability to work independently and with team members from different backgrounds
- Ability to travel to Austin occasionally as needed
- Excellent attention to detail and problem-solving skills