Vacancy expired!
- Master’s degree or PhD in an analytical field such as statistics, mathematics, computer science, or similar
- Formal training in statistical methodology including topics such as: probability theory, general statistical theory, modeling methods, machine learning, clustering, sampling, artificial intelligence, and similar
- 5+ years of experience and be well versed on statistical theory and the latest machine learning techniques.
- SQL expertise required
- Python, SAS, or R experience required
- Experience working with data in a variety of formats required
- Experience processing and analyzing large data sets
- Experience working in modeling/machine learning for at least 5 years
- Experience with software for data manipulation, analysis, visualization such as Python, SAS, R, Tableau, etc.
- Retail experience
- Experience with a formal programming language such as Python, C, C#, etc. highly desired
- Data visualization/communication focus a plus
- Experience presenting to c-level executives and at conferences to non-technical audiences
- Experience in a client-focused environment
- Strong time management skills, project management skills, manage multiple projects and responsibilities simultaneously
- Demonstrated ability to apply statistical knowledge to analyze data with to identify trends, outliers, develop/evaluate predictive models, create reports, automate processes
- Proficiency in PowerPoint & Excel
- Good verbal and written communication skills
- Ability and willingness to work with a team
- Excellent presentation skills desired
- Handling of large data sets stored within a variety of data storage formats: Greenplum and SQL Server for example
- Utilize SQL for data handling and manipulation
- Analytical presentation, interpretation of results, and visualization
- Designing and executing statistical testing strategies to evaluate products or models
- Testing, QA, and implementation of models and other predictive tools in a production setting for use on millions of transactions/events
- Monitor and improve current processes
- Interact with clients to determine analysis specifications, product needs, and modeling initiatives
- Responsible for working with large complex data sets to develop and improve analytical solutions and algorithms.
- Perform analysis, developing machine learning and predictive modeling solutions, and to serve as an expert in the latest predictive technologies for the Data Science team.
- Predictive modeling/Machine learning.
Vacancy expired!