Data Scientist 1

1 - 3 years

6 - 10 Lacs

Bengaluru

Posted:1 day ago| Platform: Naukri logo

Apply

Skills Required

Data analysis Excel Management consulting Subject Matter Expert Risk management Business solutions Forecasting Operations Monitoring SQL

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Summary What you need to know about the role - We are looking for Senior Data Scientist with experience of managing large portfolios to develop PayPal s Risk strategy within the Rewards, Loyalty and Honey Risk solutions team. This portfolio comprises PayPal s global marketing initiatives and campaigns, as well as customized experiences developed for the company s highest-priority strategic partnerships. Meet our team PayPal s Reward, Loyalty & Honey risk team fraud Risk team is responsible for assessing and managing buyer and seller side risk exposures for all global marketing initiatives. The team is also responsible for partnering with the corresponding Business Units and Product teams to align with and influence their strategic priorities, educate business partners about Risk management principles, and collaboratively optimize the Risk treatments and experiences for these unique products and partners. Job Description This role will be the end-to-end owner of the Reward payout risk solutions and is responsible for end-to-end management of marketing budget loss and decline rates. Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, collaborate with ML engineering, product and technology teams on attribute, model and platform requirements, mentoring juniors in team, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. If you re interested in enriching PayPal rewarding experiences and think customer back, then this is the right team for to join! Your day to day Each Senior Data Scientist on this team has full ownership of Reward payout portfolio and is responsible for end-to-end management of loss and decline rates for marketing budget. Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, collaborate with ML engineering, product and technology teams on attribute, model and platform requirements, communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. Works independently and proficiently. Accountable for own results. Reviews are mainly for consultation and sharing ideas. Works on multiple assignments simultaneously and in all areas of a standard project in the area of responsibility. What do you need to bring 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. Enthusiasm for data-driven problem solving within a fast-paced environment is a must. In addition, experience with Microsoft Excel or statistical software, working knowledge of SQL or other relational database languages, and hands-on experience in data analysis involving large data sets are strongly desired Work experience at the management consulting firms is a plus. Polished communication and influence 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 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 typical problems and issues during normal course of work and take proactive actions to solve them with minimum guidance. Recommends changes to policies and establishes procedures that affect immediate organization(s). Exercises discretion in resolving a variety of issues in imaginative as well as practical ways. Impact of decision has moderate to large reach Offers insight for and contributes to improving existing technology, tools, processes, and business solutions. Adds value to brainstorming sessions BS/BA degree with 6+ years of related professional experience or master s degree with 4+ years of related experience. Focuses primarily on how to achieve overall analytic objectives of a project with speed and quality. Suggests ideas for operational plans and objectives Clear subject matter expert within group / geography Works independently and proficiently on multiple assignments simultaneously with speed and quality Manage junior decision/data scientists.

Mock Interview

Practice Video Interview with JobPe AI

Start Data Analysis Interview Now
Xoom
Xoom

Real Estate

San Jose

201-500 Employees

143 Jobs

    Key People

  • Julio D. B. Gallo

    Vice President
  • David B. W. Meyer

    Head of Product Management

RecommendedJobs for You

Bengaluru, Karnataka

Bengaluru, Karnataka, India

Tondiarpet, Tamil Nadu, India

Bengaluru, Karnataka, India

Bengaluru, Karnataka