August 13
• Use mathematics, statistics, modeling, business analysis and technology to transform high volumes of complex data into advanced analytic solutions • Build and evolve statistical and machine learning models that drive business impact • Lead the data analysis effort to navigate a diverse set of datasets, organize and wrangle large datasets to get actionable insights • Deploy, operationalize and maintain data science solutions • Partner with stakeholders across leadership to improve business outcomes • Own and drive projects independently
• MSc / PhD in Mathematics, Statistics, Computer Science or a relevant scientific field • 4+ years of post-academic data science experience; advanced Python and/or R skills • Ability to contribute and lead projects independently while being involved in conversations with relevant business stakeholders • Strong skills working with algorithms, computational complexity, statistics and ML/AI techniques • Proven experience with projects on Natural Language Processing and Transformer models. • Hands-on experience with Large Language Models and transfer learning • Understanding of and experience on using advanced analytics concepts (e.g., natural language processing, linear programming etc.) • Passionate and talented in quickly assimilating business, technology and science ideas • Experience in working with large datasets (SQL/NoSQL)
• Competitive base salary with additional performance incentives • Coverage under the company’s collective health insurance plan • Learning and development opportunities • Hybrid work model & extra personal/flex days and paid volunteer days a year for your favorite cause • Company sponsored team-bonding events • Entrepreneurial culture and amazing coworkers!
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