Objectives of this Role
- Collaborate with business and product to develop an understanding of needs
- Research and devise innovative statistical models for data analysis
- Communicate findings to all stakeholders in powerful data driven presentations and discussions to steer actions basis analysis
- Enable smarter business processesand implement analytics for meaningful insights
- Keep current with technical and industry developments
Daily and Monthly Responsibilities
- Work with the lead data strategist and engage with BI lead, identifying and integrating new datasets that can be leveraged through our platform capabilities and work closely with the data scientists to device new models for business and customer assessments
- Execute analytical experiments methodically to help solve various problems and make a true impact across various verticals of business
- Identify relevant data sources and sets to mine for business needs, and collect large structured and unstructured datasets and variables
- Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
- Analyze data for trends and patterns, and Interpret data with a clear objective in mind
- Implement analytical models into production.
Skills and Qualifications
- Bachelor’s degree in statistics, applied mathematics, or related discipline
- 3-5 years experience in data science
- Proficiency with data mining, mathematics, and statistical analysis
- Advanced pattern recognition and predictive modeling experience
- Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (i.e., Java/Python, SAS)
- Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects
Preferred Qualifications
- Master’s degree in stats, applied math, or related discipline
- Some project management experience
- Professional certifications