Lead Data Scientist

Key Skills

Analytical and Problem solving, Common data structures, Data Lake, Data Visualization, Data Warehousing, Database, Databricks, Design, Docker, Java Programming, Kubernetes-K8s, Leadership, Microsoft-Excel, Netezza, Oracle, Powerpoint, Python Programming, R Programming, Risk Analytics, SQL, Tableau

Job Description

• Undergraduate or graduate degree in mathematics, statistics, engineering, computer science, economics, business, survey methodology or fields that employ rigorous data analysis.
• 5+ years of experience working on methodological design and/or sample design/weighting for complex multi-mode survey designs 
• Proficiency with Python, R 
• Proficiency with statistical tests and procedures such as Regression, ANOVA, Chi-squared, Correlation,, and Student t-test
• Experience with survey design, including data collection processes (e.g. questionnaire design, sampling, data preparation and processing, and performance calculations). 
• Knowledge of survey sampling methodologies
• Strong verbal, presentation, and written skills.
• Ability to present to a wide range of audiences with varying levels of technical proficiency is critical.
• Strong critical thinking and creative problem solving skills
• Strong planning and organizational skills
• Expertise in querying large datasets with SQL and of working with Oracle, Netezza, Data Warehouse and Data Lake data structures
• Proficiency in MS Office suite (Excel, Access, PowerPoint and Word) and/or Google Office Apps (Sheets, Docs, Slides, Gmail)
• Expertise with Tableau, Spotfire, or other data visualization software and techniques
• Experience utilizing Docker and/or Kubernetes
• Proficiency with Databricks

Job Responsibilities

• Lead experimental and analytic studies on survey measurement of radio and audio entertainment listening among the general public 
• Design, implement and analyze experimental research tests of existing and alternative survey methods. 
• Assess costs, risks and benefits of these projects, as well as their system impact if implemented.
• Prepare detailed project plans, written reports and statistical analyses describing findings from methodological survey research tests and secondary analyses. 
• This includes reports for internal purposes as well as reports for clients and other external uses.
• Present research findings to wide variety of audiences including internal stakeholders (both technical and non-technical), auditors, accrediting agencies, clients and academic peers.
• Manage and coordinate project progress on a daily basis to ensure that project timelines and goals are met in an effective and efficient manner.
• Develop test databases and statistically analyze sample performance and audience estimates.
• Identify and utilize the appropriate software and statistical applications needed to meet the needs of the project.
• Provide expertise in the area of sample design, sample stratification techniques and post-survey weighting adjustments.
• Participate in cross-functional project teams.
• Performing leadership role in project management and defining research requirements. 
• Provide mentorship and training to more junior team members
• Position requires availability for occasional travel as needed.