דרושים Sr Data Scientist ב-Paypal ב-Israel, Tel Aviv-yafo

2. This role is open to support the expansion of Bot Mitigation solutions, and would be part of our global team.
3. The role requires some flexibility in work-hours and due to team’s structure requires to accommodate online meetings up to two evenings per week.

Essential 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.

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

In your role as a Decision Scientist, you will:

· Trackand measure performance against KPIs and goals to identify and mitigate fraud risk and enable growth

· Plan,drive and execute projects from start to finish, with partners across the company, to develop cutting edge, scalable and safe solutions

· Workwith product and platform teams to develop cutting edge, scalable and safe products, to enhance the experience for our global customers

· Growongoing communication with partners across the company and share updates with senior leaders effectively and while translating complex problems into simpler terms

· Planand measure experiments to analyse incremental value of new intelligence feeds, from internal teams or vendors

Our Benefits:

Any general requests for consideration of your skills, please

This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

Essential Responsibilities:

• Develop and optimize machine learning models for various applications.
• Preprocess and analyze large datasets to extract meaningful insights.
• Deploy ML solutions into production environments using appropriate tools and frameworks.
• Collaborate with cross-functional teams to integrate ML models into products and services.
• Monitor and evaluate the performance of deployed models.

Minimum Qualifications:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.
• Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
• Several years of experience in designing, implementing, and deploying machine learning models.

Our Benefits:

Any general requests for consideration of your skills, please

What you need to know about the role

Job Description:

• Essential Responsibilities:

• Analyze and interpret complex data sets.
• Ensure data quality and integrity.
• Collaborate with stakeholders to understand data requirements.
• Optimize data processes for efficiency and performance.
• Perform advanced statistical analysis and reporting.

About You

• Student status
  - at least one to two years remaining before graduation in one of the following: economics, finance, engineering, exact sciences, etc.
• Availability for at least 50%-60% position
• Proven analytical skills
• Technical orientation; Experience in SQL / R / Python / other programming language – a must
• Excellent English verbal and written communication skills
• Quick-thinker, fast learner, wide general knowledge, problem solver

Our Benefits:

Any general requests for consideration of your skills, please

Our responsibilities cover research, development, and full product lifecycle ownership of solutions that help data scientists combat fraud at scale.
What you need to know about the role:
Develop automated systems and tools - such as scalable machine learning pipelines and fraud mitigation frameworks - that empower the organization to combat fraud efficiently and at scale

Job Description:

Our Benefits:

Any general requests for consideration of your skills, please

This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

Essential Responsibilities:

• Develop and optimize machine learning models for various applications.
• Preprocess and analyze large datasets to extract meaningful insights.
• Deploy ML solutions into production environments using appropriate tools and frameworks.
• Collaborate with cross-functional teams to integrate ML models into products and services.
• Monitor and evaluate the performance of deployed models.

Minimum Qualifications:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.
• Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
• Several years of experience in designing, implementing, and deploying machine learning models.

Preferred Qualification:

Experience working with Large Language Models

Our Benefits:

Any general requests for consideration of your skills, please

What you need to know about the role

Your day to day

In your day-to-day role, you will:

• Design, build, and maintain scalable and secure backend services and APIs.
• Develop, implement andmaintain cryptographicprotocols for key management and transaction signing.
• Participate in architecture and design discussions with a security-first mindset.
• Analyze, review, and improve the security of cryptographic code and systems.
• Support threat modeling, documentation, and external audits of cryptographic infrastructure.

What do you need to bring

• 5+ years of backend development experience with a strong foundation in computer science or cryptography.
• Strong background in Cryptography - Either relevant academic knowledge (Master’s or PhD) or relevant industry experience in the cryptography domain.
• Hands-on experience implementing cryptographic protocols (MPC preferred).
• Proficiency in at least one systems programming language (e.g., C++, Python, Rust, Go).
• Demonstrated knowledge of secure software development principles.
• Strong collaboration and communication skills in cross-functional teams.

Nice to have:

• Familiarity with blockchain protocols (e.g., Bitcoin, Ethereum, Solana) and institutional wallet practices.
• Familiarity with distributed systems and micro-services architecture.
• Contribution to open-source cryptographic or blockchain projects.

Our Benefits:

Any general requests for consideration of your skills, please

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.

Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

• Apply strategic and data analytics skills to solve problems for the PayPal Risk team. Work with stakeholders across different teams such as Product, Platform, Machine Learning, Operations to drive strategic initiatives.

Your day-to-day

• Provide analytical insights into problems, emerging trends and changes to portfolio
• Drive projects end to end from ideation to implementation in a time sensitive and efficient manner
• Identify new opportunities and continuous improvement to contribute to the team’s KPIs and targets
• Case rating: Evaluate each lead and case for risk levels to determine the urgency, importance and need for manual reviews with a goal of Increasing case automation using various risk factors and exposure on a given account, additional profile or transactional information, adoption of Document Intelligence solution etc.
• Ensure that we balance automation goals with loss.
• Partner with GADS and front end strategy team for agent decision and trend-based feedback model to improve automation quality.
  
• Work closely with business partners and stakeholders to determine how to design analysis and measurement approaches that will significantly improve our ability to understand and address emerging business issues
• Effectively managing relevant stakeholders through the lifecycle of a project by effectively understanding the various needs, priorities and perspectives in order to drive for a solution
• Understand new products, features and trends and their impact to back-office reviews.
• Identifying present or future gaps in the team’s existing reporting and tools suite
• Providing regular updates to leadership, product and other stakeholders that will simplify and clarify complex concepts and the results of analyses effectively with emphasis on the actionable outcomes and impact to business

What do you need to bring

• Solid technical / data-mining skills and ability to work with large volumes of data; extract and manipulate large datasets using common tools such as SQL, SAS, Hadoop, or otherprogramming/scripting
• Proven experience in using data and analytics to drive innovation in business processes to reduce manual efforts
• Be data-driven and outcome-focused
• Must have good business judgment with demonstrated ability to think creatively and strategically
• Must be an intuitive, organized analytical thinker, with the ability to perform detailed analysis
• Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance and focus on high impact work
• Proven experience in working with multiple teams and stakeholders to deliver business outcomes.
• Proven experience in engaging with senior leadership teams to set up roadmap and to showcase project outputs
• Degree in Statistics, Mathematics, Computer Science, Economics, Engineering or related field with 10+ years’ experience. Work experience in risk management, data science in the payments space or banking/finance services industry would be particularly desirable .
• Proficiency using SQL and querying relational databases
• Experience in at least one statistical programming language (SAS, R, Python)
• Experience in predictive modelling techniques such as Regression, Classification, Time series forecasting, NLP, etc.
• Knowledge of latest developments in AI and how they can be used for enterprise level solutions
• Hands on experience with project/program management or working with PMO teams to deliver projects
• Team management skills to mentor team members to get best results
• Drive a culture of innovation in the team and proactively come up with ideas

Travel Percent:

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit.

to learn more about our culture and community.

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at.

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please.

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.