Machine Learning Scientist jobs at Paypal in India, Bengaluru

Your way to impact

• Identify AI ML opportunities and build solutions that impact the business

• Explore and execute to get solid results

• Impact team, partners and business through PayPal values

Your day to day

In your day to day role you will

• Lead ML Projects and Conduct research to identify new and innovative MLtechniques.

• Innovate to create efficiencies for the team and the business.

• Work closely with other engineers, analysts and leaders to implement and optimize ML models.

• Develop and implement best practices for ML model management, deployment, andmonitoring.

• Collaborate with other teams to ensure ML models are integrated into the product and services.

• Assist with troubleshooting and resolving technical issues.

• Responsible for documentation, project tracking, and quality controls.

What do you need to bring-

• The ideal candidate will possess a degree in engineering, science, statistics or mathematics with strong technical background in machinelearning.

• We are looking for candidates who have excellent communication skills, an analytical mindset, and a passion forproblem-solving.

• 5+ years of hands-on experience with problem-solving using Machine Learning

• Hands-on experience with Python or Java, along with relevant technologies such as Spark, Hadoop, BigQuery, SQL, is required.

• Candidates should have in-depth knowledge of machine learning algorithms, explainable AI methods, GenAI and NLP.

• Experience with Cloud frameworks such as GCP, AWS ispreferred.

• Experience with Lending and Financial services is a plus.

Our Benefits:

Any general requests for consideration of your skills, please

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.

Minimum Qualifications:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.

Preferred Qualification:

• Technical Skills:
  • Strong SQL proficiency is mandatory.
  • Experience with Excel/statistical software.
  • Additional skills are a plus: Java, C/C++, Perl, Python, UNIX, Hadoop, R.
• Analytical Skills: Ability to lead projects independently, analyze loss trends, and create effective risk solutions.
• Soft Skills: Excellent written/verbal communication, organizational skills, high emotional intelligence, creative problem-solving, and a proactive attitude.

Desired Attributes

• Enthusiasm for data-driven problem solving in a fast-paced environment.
• Capability to relate work to broader business goals and regulatory requirements.
• Collaborative and able to work with cross-functional global teams.
• Strong follow-through and responsible work ethic.

Our Benefits:

Any general requests for consideration of your skills, please

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:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.

Preferred Qualification:

to the ever-evolving fraud landscape.

In your role as a Decision Scientist, you will:

• Track and measure performance against KPIs and goals to identify and mitigate fraud risk and enable growth

• Develop and own data-driven risk decision strategies to support PayPal’s risk and business goals

• Utilize bottom-up, story based, innovative techniques to apply analytical know how onto PayPal’s risk strategies

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

• Work with product and platform teams to develop cutting edge, scalable and safe products, to enhance the experience for our global customers

• Grow ongoing communication with partners across the company and share updates with senior leaders effectively and while translating complex problems into simpler terms

• Plan and measure experiments to analyse incremental value of new intelligence feeds, from internal teams or vendors

What do you need to bring -

• Bachelor’s Degree (or above) in one of the following: economics, finance, engineering, exact sciences, etc.

• Hands-on experience in relevant positions, e.g.: decision scientist, data analyst, data scientist background in identifying trends and patterns / risk management / law enforcement or military intelligence units

• Technical orientation; experience in SQL / Python / other programming language

• Independent, self-driven, with a strong sense of accountability.

• Excellent verbal and written communication skills

• Proven analytical and problem solving skills, business mindset

• Quick-thinker, fast learner, self-starter, inquisitive, forward thinking

Great advantages:

• Experience forfraud/risk/intelligence

• Experience with automation tools/scripting

• Experience with internet protocols (HTTP, IP, TLS)

Our Benefits:

Any general requests for consideration of your skills, please

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:

• Advanced proficiency in multiple programming and scripting languages, including Python, Java, Scala, and Unix/Linux Shell Scripting.
• Demonstrated expertise in designing, implementing, and deploying end-to-end AI/ML solutions in production environments on On-Prem and Cloud (GCP, AWS, or Azure).
• Hands-on experience with Big Data technologies such as Hadoop, Spark, HBase, and Kafka.
• Expertise in data modeling, feature engineering, and a strong grasp of traditional machine learning algorithms (e.g., Neural Networks, Linear Regression, Logistic Regression, Random Forest, etc.).
• Experience with Large Language Models (LLMs), particularly in areas like RAG, MCP, and Agentic Agents.
• Experience in containerization tools like Docker and Kubernetes. GCP experience is a distinct advantage.
• Strong proficiency in SQL, ETL processes, and database design, with practical knowledge of NoSQL systems like HBase, Redis, and Aerospike.
• Solid understanding of distributed systems, real-time data streaming, and complex event processing architectures.
• Knowledge of front-end and back-end development; full-stack engineering experience is a plus.

Our Benefits:

Any general requests for consideration of your skills, please

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.

Minimum Qualifications:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.

Preferred Qualification:

• Technical Skills:
  • Strong SQL proficiency is mandatory.
  • Experience with Excel/statistical software.
  • Additional skills are a plus: Java, C/C++, Perl, Python, UNIX, Hadoop, R.
• Analytical Skills: Ability to lead projects independently, analyze loss trends, and create effective risk solutions.
• Soft Skills: Excellent written/verbal communication, organizational skills, high emotional intelligence, creative problem-solving, and a proactive attitude.

Our Benefits:

Any general requests for consideration of your skills, please

Job Description:

You will partner with these teams to understand the insights they require to manage and grow their business and leverage cross-functional teams to develop and land solutions that meet their needs at scale. You are deeply curious and persistent in gaining knowledge about our products and go-to-market strategy.

Your day to day:

• The successful candidate will be responsible for providing data-driven insights including but not limited to Business casing, Deep dives, Modelling, Campaign Performance readouts and optimisation.

• The candidate will also be responsible for delivering accurate, action driving recommendations to drive business performance and investment optimisation

• Manage multiple analytical projects at a time, in a fast-paced, intense, and results-oriented environment

• Influence stakeholders to make business decisions in alignment with global measurement approaches

What do you need to bring:

• Degree in Statistics, Mathematics, Applied Mathematics, Computer Science, Operations Research, Engineering, Economics

• 4+ years of experience in analytics, data science or management consulting or equivalent analytical and project management experience

• Accomplished Contributor, with experience managing high-performing Data Scientists and Quantitative Analysts

• Experience working within and driving strategy for large, global, complex organizations across multiple stakeholders and teams

• Exceptional problem-solving skills, with strong ability to drive towards action and impact

• Experience in managing analytics projects from inception to delivery, including developing structured solutions

• Experience with visualizations, dashboards, and reports

• Experience with data modelling, machine learning algorithms, and data science techniques.

• Hands on experience of Python, SQL & BigQuery

• Experience explaining technical concepts and analysis implications to varied audiences and translating business objectives into analyses

Our Benefits:

Any general requests for consideration of your skills, please

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