Sr Director Financial Planning & Analysis jobs at Paypal in Ireland, Dublin

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.

Expected Qualifications:

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

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:

• 5+ years of experience in data science or machine learning, with at least 2 years applying AI/ML to operations, risk, or fraud domains.
• Strong proficiency in Python , SQL , and ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow).
• Experience with LLMs , prompt engineering , RAG pipelines , or AI agents is a strong plus.
• Deep understanding of root cause analysis , anomaly detection, or incident forensics.
• Proven ability to translate business problems into data science solutions.
• Familiarity with MLOps tools and concepts (e.g., model serving, observability, retraining).
• Excellent communication skills and a collaborative mindset.
• Bachelor’s or Master’s in Computer Science, Statistics, Engineering, or related field. PhD 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.

Expected Qualifications:

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

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Analyze sales data to recommend process improvements.
• Collaborate with internal teams to enhance operational efficiency.
• Prepare detailed reports for management review.
• Handle complex customer inquiries and provide solutions.
• Mentor junior analysts and guide their professional growth.

Expected Qualifications:

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

Responsibilities

• Performance Analysis:
  • Extract and analyze sales and customer data to uncover performance insights, growth opportunities, and operational bottlenecks.
  • Define and monitor critical metrics—including pipeline velocity, win/loss rates, and quota attainment—and collaborate with sales leadership to establish benchmarks.
  • Build dashboards and reporting systems that provide revenue teams with actionable insights and real-time progress tracking.
  • Ensure sales pipeline health by monitoring progress, managing data accuracy, and identifying blockers.
  • Conduct forecast and pipeline meetings with sales leaders, driving discussions around opportunities, trends, and deviations from the plan.

• Annual Planning:
  • Build data-driven market segmentation strategies to identify key customer groups and prioritize business opportunities.
  • Optimize territory assignments based on geographic regions, industries, and account types to ensure efficient market coverage.
  • Develop equitable sales quotas informed by historical performance, market potential, and strategic business objectives.

• Sales Process Optimization:
  • Evaluate and refine existing sales workflows and processes to promote efficiency and effectiveness.
  • Act as the champion for Salesforce CRM adoption and other operational tools, ensuring alignment, training, and sustainable usage.
  • Maintain and improve CRM data quality, ensuring it serves as a trustworthy source of truth for strategic decisions.
  • Provide ongoing training, support, and guidance to sales teams for tools adoption and feature enhancements.

• Cross-Functional Collaboration:
  • Partner with cross-departmental teams (Product, Marketing, Finance and Compensation) to integrate insights within broader organizational priorities.
  • Act as the liaison between sales teams and other departments, fostering alignment and seamless communication.
  • Assist in quote generation and contract management to support the sales team's operational needs.

Requirements

• Education : Bachelor’s degree (or equivalent) in Business Administration, Finance, Economics, Data Analytics, or a related field.
• Technical Proficiency : Skilled in Excel, SQL, and business intelligence tools (e.g., Looker, Tableau, or Power BI). Familiarity with Salesforce is highly advantageous.
• Experience : Proven exposure to or experience working within commercial teams, such as sales or account management; background in revenue operations, sales operations, or analytics preferred.
• Analytical Skills : Strong data analysis and problem-solving abilities—you thrive on finding clarity amidst complexity.
• Storytelling : Adept at turning complex data into clear, actionable narratives. Exceptional communication skills, with the ability to present ideas succinctly and effectively.
• Self-Starter : Proactive mindset with a "see it, solve it" approach to challenges.
• Collaboration : Strong team player with an ability to work seamlessly across departments and in a fast-paced, evolving environment.

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Define and drive the strategic vision for machine learning initiatives within the team.
• Lead the development and optimization of machine learning models.
• Oversee the preprocessing and analysis of large datasets.
• Deploy and maintain ML solutions in production environments.
• Collaborate with cross-functional teams to integrate ML models into products and services.
• Monitor and evaluate the performance of deployed models, making necessary adjustments.
• Mentor and guide junior engineers and data scientists.
• Ensure adherence to best practices and industry standards in ML development.

Expected Qualifications:

• 8+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
• Experience leading others

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.

Expected Qualifications:

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

Essential Responsibilities:

• Lead complex data science projects, ensuring they meet business objectives and deliver actionable insights.
• Develop advanced data models and algorithms to analyze large datasets and solve complex business problems.
• Collaborate with senior leadership to identify data-driven opportunities for business growth and efficiency.
• Implement best practices for data management, analysis, and visualization.
• Ensure data governance and compliance with relevant regulations and standards.
• Provide mentorship and technical guidance to the data science team.

Expected Qualifications:

• 8+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
• Experience leading others

Our Benefits:

Any general requests for consideration of your skills, please