דרושים Decision Scientist ב-Paypal ב-India, Bengaluru

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.

• Data driven mindset with a degree in any quantitative discipline such as Engineering, Computer Science, Economics, Statistics or Mathematics
• 3-5 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionablerecommendations
• Exceptional communication skills, both written and verbal, to influence cross-functional teams.
• Fluent in SQL, Excel, and visualization tools such as Tableau or Qlikview; experience with a statistical programming language like R or Python preferred
• Domain expertise in the area of Payments or other consumer financial products, Product Analytics, Experimentation (A/B testing)
• Prior work experience inProduct/Business/Riskanalytics space would be highly valued
•Experience/Knowledgeof statistical data mining would be a plus

Our Benefits:

Any general requests for consideration of your skills, please

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:

• 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:

• 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:

• Strong working knowledge of Excel, SQL and Python/R
• Partner with Product Managers and Engineers to define test hypotheses, success metrics, and experimentation frameworks
• Proactively identify opportunities for experimentation to optimize conversion rates, revenue, and user enablement
• Maintain documentation of experiments and contribute to building a culture of data-informed decision making
• 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 (e.g., 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
• Payments fraud domain knowledge is highly preferred, with an understanding of transaction flows, payment systems, and common fraud tactics.
• Experience in conducting & analyzing A/B tests to evaluate the impact of fraud detection models and mitigation strategies.
• Familiarity with common fraud data sources such as transactions, user behavior logs, device metadata, and third-party data

Our Benefits:

Any general requests for consideration of your skills, please