Sr Data Scientist at PayPal
Bengaluru, karnataka, India -
Full Time


Start Date

Immediate

Expiry Date

31 Mar, 26

Salary

0.0

Posted On

31 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Science, Data Analytics, SQL, Python, R, Tableau, Power BI, Hadoop, Hive, Data Profiling, Sanctions Screening, AML, Project Leadership, Analytical Skills, Problem Solving, Communication Skills

Industry

Software Development

Description
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. Design and implement data-driven solutions to improve sanctions screening algorithms, reduce false positives, and optimize risk detection sensitivity. Work with sanctions advisory and policy teams to refine PEP and sanctions list definitions, ensuring accurate coverage and risk alignment. Provide business guidance and technical support to junior data scientists on the team. Collaborate with engineering teams to ensure seamless deployment and real-time implementation in production environments. Perform advanced data exploration and analysis to identify inefficiencies in sanctions screening and workflow and recommend actionable improvements. Analyze large, complex datasets and business requirements to draw meaningful conclusions, make informed recommendations, and present findings to support business decisions. 3+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience. Bachelor's degree with a minimum of six years of experience in sanctions transaction Screening, profile screening, and AML, including at least three years in data analytics or data science. Thorough understanding of economic sanctions programs administered by regulators such as OFAC, EU, UN, CSSF, etc., and associated adjacency risk. Proficiency in SQL, BigQuery, Python, R, Tableau, and Power BI, with strong analytical and problem-solving skills. Experience with and advanced understanding of SQL queries, data structure and data profiling Working knowledge of Hadoop, Hive, Jupyter Notebooks; data warehouse skills is highly desirable Excellent written and verbal communication skills, with the ability to effectively translate data insights into actionable business recommendations. Demonstrated ability to develop data-driven solutions for complex business challenges, fostering trust and collaboration across cross-functional teams. Strong intellectual curiosity, strategic thinking, and a passion for solving problems, with comfort navigating ambiguity. Advanced research, analytical, and project leadership skills, with a strong business acumen and multitasking ability. Capable of managing multiple projects in a fast-paced, dynamic environment with independence and initiative. Skilled in presenting complex quantitative analyses to business stakeholders in a clear, accessible manner.
Responsibilities
Lead the development and implementation of advanced data science models while collaborating with stakeholders to understand requirements. Mentor junior data scientists and design data-driven solutions to improve sanctions screening algorithms.
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