Data Scientist II Role

2 weeks ago


Old Toronto, Canada LexisNexis Risk Solutions Full time

About the Data Scientist II Role:

Leverage advanced analytics and machine learning techniques to extract insights from complex data sets and drive data-driven decision-making at LexisNexis Legal & Professional, a leading provider of legal, regulatory, and business information and analytics.

Responsibilities:

  1. Develop and implement advanced machine learning algorithms to solve complex business problems and contribute to innovative solutions in data science.
  2. Collaborate with stakeholders to identify opportunities for leveraging company data to drive business solutions and provide technical expertise in statistical analysis, data mining, and data visualization.
  3. Contribute to the continuous improvement of data science processes and methodologies and lead the development and deployment of predictive models and algorithms.
  4. Work in a dynamic environment to extract insights from complex data sets and drive data-driven decision-making.

Requirements:

  1. Have a Master's or doctorate in Computer Science, Statistics, Mathematics, or related field and possess extensive experience in data science, machine learning, and statistical modeling.
  2. Have excellent communication skills and the ability to convey information clearly to a wide audience and be a natural problem solver and able to take a lead in collaborating to resolve issues.
  3. Possess advanced programming skills in Python, R, or other relevant languages for data analysis and have experience in leading complex projects and customer relationships.

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.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.



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