Salary
💰 $106,945 - $250,652 per year
About the role
- Responsible for extracting knowledge and insights from high volume, high dimensional transactional and business data to develop technical solutions, policies and procedures for customer revenue maximization
- Data preparation, modeling, analysis and developing visualization techniques that may include the use of advanced statistical analysis, algorithms, decision analysis, predictive modeling, experimentation and pattern recognition
- The deliverables that the team builds informs various Company data science-based services, deployments and practices
- Integrates knowledge of business and functional priorities
- Acts as a key contributor in a complex and crucial environment
- May lead teams or projects and shares expertise
- Interacts with product and service teams to identify questions and issues for data analysis and experiments
- Leads development of automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources
- Uses analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools and machine learning techniques and statistics (e.g., predictive models, lifetime value, propensity models)
- Leads development and execution of statistical and mathematical solutions to business problems to support larger initiatives
- Works with large, noisy, and complex datasets to produce analysis of historical patterns in customer behaviors and product performance from complex real-world behavioral data
- Develops and deploys predictive models based on historical data that provide future predictions about customer performance
- Constructs forecasts, recommendations and strategic/tactical plans based on applying data science techniques to business data
- Consistent exercise of independent judgment and discretion in matters of significance
- Regular, consistent and punctual attendance
- Must be able to work nights and weekends, variable schedule(s) as necessary
- Other duties and responsibilities as assigned
Requirements
- SQL and Python
- Ad Tech experience
- 10+ years of related work experience
- Master’s degree preferred; combination of coursework and experience may be considered