- Build an in-depth understanding of the problem domain and available data assets
- Research, design, implement, and evaluate machine learning approaches and models
- Perform ad-hoc exploratory statistics /data mining tasks on diverse datasets - small scale to big data
- Participate in data architecture and engineering decision-making to support analytics
- Take initiative in evaluating and adapting new approaches from data science research
- Investigate data visualization and summarization techniques for conveying key findings
- Communicate findings and obstacles to stakeholders to help drive the delivery to market
- Code your solutions (this is a hands-on position requiring strong programming skills)
Requirements :
- Professional experience as a data scientist or a related software engineering role
- Graduate degree (MS) in mathematics, computer science or other quantitative discipline
- Thorough understanding of probability and statistics, Bayesian methods, time series analysis
- Strong programming skills (in any language)
- Great communication skills, team player, self-starter, demonstrated strong work ethic
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