Required Qualifications:
- At least an undergraduate degree in Data Science, Mathematics, Statistics or related field and 4+ years of relevant work experience. Or a Master's Degree and 2+ years of relevant work experience.
Skills and Competencies:
- Proficient in R, Python, or SQL. Able to select the right language to address the business needs.
- Demonstrates competencies in relevant Data Science and/or Statistical frameworks.
- Able to apply Machine Learning, Data Mining, and/or Statistical methods to build models.
- Able to execute standard coding for projects and processes to do the job successfully using company standard toolsets
- Proficiency processing and manipulating large data sets including merging, slicing, sorting, constructing new features.
- Strong documentation, written and verbal communication skills
- Strong analytical thinking skills
- Proficient interpersonal skills to be able to interface effectively with a broad range of contacts; from technical staff to management.
- Strong organizational skills with the ability to handle multiple concurrent activities and to work successfully under pressure.
- Self-starter comfortable in an innovative environment with vague definition of scope.
- Detail oriented and critical thinker. Works well both independently and with cross-functional teams to execute projects.