enriching community-building and development events, and collaboration with industry experts.
Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).
Responsibilities:
- Work with large and complex data sets to solve a wide array of challenging problems using different analytical methods
- Design, analyze, and interpret insights end-to-end on a project from data requirement gathering to data processing, modeling, and impactful business recommendations
- Partner with cross-functional teams to identify new opportunities requiring the use of sophisticated analytical and modeling techniques
- Design, execute, and interpret results of experiments (e.g., A/B testing)
- Effectively communicate insights and recommendations to team leadership and influence strategic decision-making
Qualifications
Minimum Qualifications
- Currently pursuing PhD degree in a quantitative field (Economics, Statistics, Applied Math, Engineering, Computer Science, Business Analytic etc)
- Experience with data querying and manipulation using SQL, Python, or R
- Experience with data analysis in a scripting language (R, Python, Matlab)
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Preferred Qualifications
- Internship experience in data science
- Research experience in data science
- Experience working with cross functional teams
- Agile, quick self-learner, highly self-motivated with strong sense of product ownership and creative problem solver
- Good collaborator and team player, comfortable working in a fast moving, culturally diverse and globally distributed team environment