June 3
• Develop sophisticated statistical models and machine learning algorithms to analyze complex datasets. • Extract and interpret data to identify patterns, trends, and relationships. • Perform data preprocessing, cleansing, and analysis to ensure data quality. • Implement predictive models and conduct A/B testing for continuous improvement. • Utilize advanced analytics techniques to solve specific business problems. • Collaborate with cross-functional teams to integrate data science methodologies into various business processes. • Present complex data findings in a clear and understandable manner to non-technical stakeholders
• Master’s degree in Data Science, Statistics, Computer Science, or a related field • 5+ years of experience in data science, focusing on statistical modeling and machine learning • Strong proficiency in data science programming languages (Python, C++) and SQL • In-depth knowledge of machine learning techniques and algorithms • Experience with big data technologies (e.g., Hadoop, Spark) • Excellent analytical and problem-solving skills • Ability to communicate complex data insights effectively
• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service
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