Data Scientist 1

4 weeks ago


Bengaluru, Karnataka, India Paypal Full time
Job Description

What you need to know about the role-

- The role is that of a Senior Data Scientist to develop PayPal's Risk strategy for our customers. This portfolio is comprised of PayPal's newest leading-edge payments solutions, as well as customized experiences developed for the company's highest-priority strategic partnerships.

- The role involves complete ownership of a portfolio or a customer segment and is responsible for end-to-end management of loss and experience, with in-depth knowledge and expertise of the domain.

- The responsibilities include data analysis and data backed decisions, monitoring and forecasting, designing and implementing risk strategies, working with data scientists and technology teams on the right attribute, model and platform requirements, and communicating with global stakeholders and partners, for best-in-class customer experience while meeting loss targets with margin focus.

- If you're interested in working with PayPal's most interesting payments experiences, then this is the right team for you

Meet our team:-

Each Data Scientist in the team has full ownership of a portfolio or segment or domain and is responsible for end-to-end management of loss and experience. The responsibilities include data analysis and data backed decisions, monitoring and forecasting, designing and implementing risk strategies, working with data scientists and technology teams on the right attribute, model and platform requirements, and communicating with global stakeholders and partners, for best-in-class customer experience while meeting loss targets with margin focus.Job Description:

Your way to impact

Your day to day

- You should be self-driven. Work is generally self-directed with minimum supervision.
- Work on assignments that are of intermediate complexity with multiple steps in execution, and guided by generally defined processes and project requirements
- Focus primarily on completing short- and medium-term goals of a project efficiently and effectively

What do you need to bring-

- BS/BA/Any degree with 3-5 years of experience or master's degree Strong analytical skills -- ability to build quick estimates using back-of-the-envelope analysis, structure (and, if needed, execute) more complex analyses, pull together business cases and forecasts to navigate through multi-dimensional sets of tradeoffs.
- Passion for data-driven problem-solving in a fast-paced environment is essential. Preferred skills include experience with Excel or statistical software, proficiency in SQL and language like Python, and the ability to analyze large, complex datasets.
- Polished communication and influencing skills risk decision scientists need to collaborate cross-functionally with product managers, data scientists, business owners, and customers to learn from subject-matter experts, present findings in a clear and concise manner, and reach alignment on how to execute risk strategies. Demonstrated ability to influence groups and effectively resolve conflicts is required.
- An innate intellectual curiosity, and a willingness to build awareness of current payments industry and risk management best practices. PayPal is constantly innovating by introducing new products and entering new markets, so successful risk analysts on this team must quickly get up to speed on new content areas. You will be expected to become an expert in your specific domain
- Can-do attitude, team player, energetic personality, ability to work well under pressure in a fast-paced and constantly changing environment to meet deadlines. The successful risk analyst is a self-starter who has the resilience to learn from their mistakes and reach their true potential.
- Identify glitches in processes and tools and develop and execute solutions to overcome general issues and obstacles with little supervision.
- Learning in-depth analysis of alternatives and applying specialized knowledge
- Impact of decision has moderate reach
- Seeks improvement within defined tasks. Understands, evaluates, and executes improvement ideas from supervisors
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