PayPal Recruitment Marketing Data Scientist will join their team. This role involves studying recruitment advertising and marketing statistics, generating insights, and optimizing strategies to draw top skills. The perfect candidate will have know-how in records analysis, gadget mastering, and marketing analytics. Applicants can easily apply via PayPal’s professional portal for this interesting opportunity.
- Role: Marketing Data Scientist
- Location: Chennai, Tamil Nadu-Hybrid Work
- Company: PayPal
- Salary: Not Disclosed
- Qualifications: Bachelor’s degree, Master’s degree
- Job Type: Full Time
About PayPal:
PayPal is an international leader in digital payments, allowing steady, seamless transactions for consumers and traders across 200 markets. Founded over 25 years ago, it offers several products, including PayPal, Venmo, and Xoom, permitting easy payments, cash transfers, and cross-border buying. PayPal is committed to democratizing monetary offerings, fostering inclusion, and empowering people and corporations internationally.
Marketing Data Scientist Job Description:
The Marketing Data Scientist function at PayPal involves taking part with move-useful teams to deliver actionable insights through statistics evaluation. Key responsibilities include statistical test layout, A/B checking out, developing Tableau dashboards, and automating procedures. Ideal candidates need to have sturdy capabilities in SQL, statistics, and statistics visualization, with a focus on enhancing advertising strategies and infrastructure.
Marketing Data Scientist Key Responsibilities:
1. Cross-Functional Collaboration
- Collaborate with Sales, Product, Finance, and Market Insights teams.
- Partner with advertising marketing and analytics teams to recognize necessities and deliver solutions.
2. Data Analysis and Reporting
- Perform deep-dive analyses to identify commercial enterprise tendencies.
- Extract actionable insights through consumable displays.
- Maintain and replace reviews, Tableau dashboards, and data cubes to meet SLAs.
3. Statistical and Analytical Problem-Solving
- Develop statistically legitimate take a look at designs, experimentation frameworks, and A/B checking out setups.
- Conduct and supervise analytics initiatives from inception to shipping.
- Solve complex problems with a focus on pragmatism and actionable consequences.
4 . Automation and Innovation
- Streamline and automate current processes to improve team efficiency.
- Continuously enhance the analytics infrastructure.
5 . Thought Leadership
- Provide notion management within the advertising analytics network.
- Explore innovative information solutions to fulfill advertising objectives.
Required Skills and Qualifications:
Educational Background: Bachelor’s, Master’s, or PhD in Statistics, Mathematics, Computer Science, Operations Research, Engineering, or Economics.
Must-Have Skills:
- Proficiency in SQL.
- Strong statistical knowledge (e.g., experiment design, check dimension).
- Data visualization using Tableau.
Preferred Skills:
- Knowledge of Python or R.
- Experience in gadget learning algorithms and records modeling.
- Marketing or commercial enterprise analytics heritage.
Interpersonal Skills:
- Strong verbal, written, and interpersonal communique.
- Ability to foster relationships across teams for idea go-pollination.
- Exceptional hassle-fixing and proactive mindset.
Day-to-Day Activities:
- Engage with groups to apprehend commercial enterprise wishes and deliver tailored analytical answers.
- Create test designs to make certain correct insights.
- Package insights into compelling displays and files.
- Build Tableau dashboards and preserve analytics reviews.
- Automate repetitive responsibilities to increase group efficiency.
- Partner with advertising groups to optimize campaign techniques and usage of insights.
Desired Attributes:
- Problem-Solver: Demonstrates robust man or woman contribution and ownership of responsibilities.
- Fast Learner: Willingness to research new technologies and adapt to changing priorities.
- Innovative Thinker: Ability to introduce innovative answers to enterprise challenges.
Equal Opportunity Employer:
- PayPal guarantees nondiscrimination based on age, gender, race, disability, or every other covered function.
- Provides reasonable accommodations for candidates with disabilities.
Why Join PayPal?
- Global Mission: Help democratize financial services for monetary inclusion.
- Innovative Environment: Opportunity to paintings on modern-day information science and advertising analytics projects.
- Impactful Role: Be part of a high-boom team contributing to commercial enterprise choice-making.
- Supportive Culture: Emphasis on gaining knowledge of, collaboration, and personal boom.
Marketing Data Scientist Benefits:
- Flexible Work Environment: Hybrid paintings model (three days in-workplace, 2 days far off).
- Health Insurance: Comprehensive coverage for employees and dependents.
- Employee Stock Options: Access to PayPal’s inventory as part of repayment.
- Mental Health Support: Resources for ordinary properly-being.
- Life Insurance: Protection for employees and their families.
- Retirement Plans: Competitive savings and funding alternatives.
- Career Development: Opportunities for gaining knowledge of and growth.
- Paid Time Off: Vacation, sick days, and vacations.
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