Sr Data Scientist - Identity and Authentication Risk

Role Overview: As a Data Scientist at the company, you will play a key role in leading the development and implementation of advanced data science models. Your collaboration with stakeholders to understand requirements and drive best practices in data science will be essential. You will also be responsible for ensuring data quality and integrity in all processes, as well as mentoring and guiding junior data scientists. Staying updated with the latest trends in data science will be crucial to your success in this role. Key Responsibilities: - Lead the development and implementation of advanced data science models. - Collaborate with stakeholders to understand requirements. - Drive best practices in data science. - Ensure data quality and integrity in all processes. - Mentor and guide junior data scientists. - Stay updated with the latest trends in data science. Qualifications Required: - Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience. - Strong SQL proficiency is mandatory. - Experience with Excel/statistical software. - Additional skills are a plus: Java, C/C++, Perl, Python, UNIX, Hadoop, R. - Ability to lead projects independently, analyze loss trends, and create effective risk solutions. - Excellent written/verbal communication, organizational skills, high emotional intelligence, creative problem-solving, and a proactive attitude. Additional Details: The company is guided by core values of Inclusion, Innovation, Collaboration, and Wellness, ensuring a collaborative and customer-centric work environment. They are committed to diversity and inclusion, with a focus on supporting their global team and communities. You can learn more about their culture and community by visiting https://about.pypl.com/who-we-are/default.aspx. The company encourages candidates to apply without hesitation, acknowledging the confidence gap and imposter syndrome that may hinder exceptional candidates.,