Data Science Trainer

job descriptionwe are looking for data science trainer with experience of managing large portfolios to develop paypal s risk strategy within the large merchant and markets fraud risk solutions team. manager data science will be the end-to-end owner of the new products / markets and is responsible for end-to-end management of loss and decline rates. day-to-day duties include leading a team of data scientists to deliver impactful, data-driven solutions across the business. this role combines technical expertise with strategic leadership to guide end-to-end project execution, from defining business problems to deploying models and delivering insights. the manager also aligns cross-functional stakeholders and ensures the risk strategy function contributes meaningfully to business growth and innovation.meet our teampaypals global fraud protection team is responsible for partnering with global business units to manage a variety of risk of various types, including identity fraud, account takeover, stolen financial fraud, and credit issues. this is an exciting department that plays an important role in contributing paypals bottom line financial savings, ensuring safe and secure global business growth, and delivering the best customer experience.this open opportunity is within the large merchant and markets fraud risk team. this portfolio is comprised of paypal s newest leading-edge payments solutions, such as risk-as-service, fastlane, paypal complete payments, etc as we'll as customized experiences developed for the company s highest-priority strategic markets and partnerships.you will be the manager data science in the fraud risk team , where you will work on leading new projects to build and improve the risk strategies to prevent fraud using the risk tooled and custom data al / ml models. in this position, you will be partnering with the corresponding business units 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.your day to dayin this role you will have full ownership of a portfolio some paypal products or markets and will be responsible for end-to-end management of loss and decline rates working with a few data scientists in the team.collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines or improve customer friction.work on multiple assignments simultaneously while focus on how to achieve overall analytic objectives of a project with speed and quality and suggest ideas for execution and efficiency.the manager also aligns cross-functional stakeholders and ensures the risk strategy function contributes meaningfully to business growth and innovation while meeting kpis such as authentication and loss rate targets.what do you need to bring-9-14 years of relevant experience working with large-scale complex dataset along with managing a team of 3-6 data scientists.strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questionsexcellent communication skills, equally adept at working with engineers as we'll as business leaderswant to build new solutions and invent new approaches to big, ambiguous, critical problemsstrong working knowledge of excel, sql and python / rtechnical proficiency : exploratory data analysis and expertise in preparing a clean and structured data for model development.experience in applying ai / ml techniques for business decisioning including supervised and unsupervised learning (eg, regression, classification, clustering, decision trees, anomaly detection, etc).knowledge of model evaluation techniques such as precision, recall, roc-auc curve, etc along with basic statistical concepts

Experience

13 - 22 Years

No. of Openings

Education

B.C.A

Role

Data Science Trainer

Industry Type

IT-Hardware & Networking / IT-Software / Software Services

Gender

( Male / Female )

Job Country

India

Type of Job

Full Time

Work Location Type

Work from Office