Sr Data Scientist
4 weeks ago
Responsibilities:
- Work closely with customers and WWT business, engineering, and technology teams.
- Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
- Work on advanced analytics areas like deep learning and complex statistical data analysis
- Interact with clients including in-person meetings, towards making business recommendations with effective presentations of findings, including visual displays of quantitative information.
- Develop analysis, forecasting and optimization methods/models to provide the business solution to the clients.
- Research and develop internal capabilities to enhance the skill sets on latest data science developments, work towards producing innovative solutions to the existing challenges.
- Perform quality control of deliverables.
- Provide thought leadership in algorithmic and process innovations and contribute to creativity in solving unconventional problems.
Qualifications:
Education
- open to master's or bachelor's degree in a quantitative discipline (e.g., statistics, computer science, economics, mathematics, physics, electrical engineering, industrial engineering, or other STEM fields)
Work Experience
- 4-6 years of relevant work experience in data analysis or related field. (e.g., as a statistician / data scientist / data engineer). D. Research and post-doctoral experience also counts.
Specialized Knowledge, Skills, and Abilities
We do not need an exceptional IQ of 160. All we need is curiosity, humility, and openness to learn. In other words, we just need a Beginner's Mind, even if you have decades of professional experience.
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