Lead Data Scientist
Note: The candidate must be authorized to work in the US for any employer without requiring work sponsorship in the Future.
Job Description:
We are currently seeking an experienced data scientist to join the Big Data and Advanced Analytics department. The Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world problems using machine learning, data science algorithms, and artificial intelligence.
The successful candidate will meet the following qualifications:
• 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 using SQL to query relational data for analysis
• 3+ years of experience developing visualizations with Python libraries, 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 (GCP) - 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 AI tools is a plus
• Professional experience building recommender systems is a plus
• Ability to travel to Austin occasionally as needed
Note: The candidate must be authorized to work in the US for any employer without requiring work sponsorship in the Future.
Job Description:
We are currently seeking an experienced data scientist to join the Big Data and Advanced Analytics department. The Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world problems using machine learning, data science algorithms, and artificial intelligence.
The successful candidate will meet the following qualifications:
• 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 using SQL to query relational data for analysis
• 3+ years of experience developing visualizations with Python libraries, 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 (GCP) - 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 AI tools is a plus
• Professional experience building recommender systems is a plus
• Ability to travel to Austin occasionally as needed
