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Lead Quantitative Research Engineer
in quantitative finance, machine learning engineering, or related fields Deep experience in time-series analysis and forecasting, particularly for illiquid assets Proven experience in transitioning models from development to production Fluent in Python
Real World Evidence Analyst
Public Health, Epidemiology, Health Economics, Biostatistics, Data Science, or a related field (Master's preferred) Basic understanding of healthcare data and real-world evidence concepts Experience with data analysis tools such as Excel, SAS, R, Python
Real World Evidence Analyst
Public Health, Epidemiology, Health Economics, Biostatistics, Data Science, or a related field (Master's preferred) Basic understanding of healthcare data and real-world evidence concepts Experience with data analysis tools such as Excel, SAS, R, Python
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AI Research Scientist
Engineering, Architecture or related disciplines Strong background applying Deep Learning techniques Familiarity in statistical methods for Machine Learning Familiarity with PyTorch, TensorFlow, JAX or similar frameworks Strong coding abilities in Python
Senior Business Analyst
business analytics, preferably in a SaaS environment Advanced proficiency in Excel, including pivot tables and macros Strong knowledge of SQL for data querying and manipulation Proficiency in Power BI or Tableau for creating dashboards Familiarity with Python
Senior Manager, Business Analytics
deliver actionable insights and lead ad-hoc analysis for Company leadership Required Qualifications 5+ years of experience in business analytics, preferably in sports, media, or entertainment Proficiency in SQL, Excel, and Tableau; experience with R or Python
Data Scientist, Marketing Analytics
years of experience in a quantitative data analysis role involving user behavior and large data sets Expertise in statistics, hypothesis testing, and experiment design Experience with A/B testing and advanced statistical methods Proficiency in R, Python
