Senior Data Scientist
4 weeks ago
About the Role:
The Senior Data Scientist II will leverage advanced analytics and machine learning techniques to extract insights from complex data sets. They will collaborate with cross-functional teams to drive data-driven decision-making and contribute to innovative solutions in data science.
Key Responsibilities:
- Building models, performing analytics, and creating AI features.
- Developing and implementing advanced machine learning algorithms to solve complex business problems.
- Collaborating with stakeholders to identify opportunities for leveraging company data to drive business solutions.
- Providing technical expertise in statistical analysis, data mining, and data visualization.
- Contributing to the continuous improvement of data science processes and methodologies.
- Leading the development and deployment of predictive models and algorithms.
Requirements:
- Have a Master's or doctorate in Computer Science, Statistics, Mathematics, or related field.
- Have experience in leading complex projects and customer relationships.
- Possess extensive experience in data science, machine learning, and statistical modeling, demonstrating a deep understanding and proficiency in these areas.
- Possess advanced programming skills in Python, R, or other relevant languages for data analysis.
- Disability, Life, and Accidental Death Insurance.
About the Business:
LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world.
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