United States, Missouri, Data Center Technician jobs
PayPal Staff Data Scientist United States, California, San Jose
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Essential Responsibilities:
- Lead and manage data science projects, ensuring timely delivery and alignment with business goals.
- Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making.
- Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives.
- Collaborate with cross-functional teams to understand data needs and provide actionable insights.
- Ensure data quality and integrity through regular audits and validation processes.
- Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.
Expected Qualifications:
- 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Additional Responsibilities & Preferred Qualifications:
- At least 7 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
- At least 3 years of experience in managing analytics teams
- Data driven mindset with a Master’s or Ph.D. degree in any quantitative discipline such as Analytics, Engineering, Computer Science, Economics, Statistics or Mathematics
- Experience in Advanced Analytics: Causal Inference and ML models.
- Fluent in SQL and Python
- Experience analyzing very large, complex, multi-dimensional data set
- Experience with one or multiple of the following will be highly desirable; Jupyter Notebooks, Teradata, Hadoop/Hive, BigQuery
- Domain expertise in payments or other financial services
- Exceptional communication skills, both written and verbal, to influence cross-functional teams
- Prior work experience in a product analytics space would be highly valued
- A passion for problem-solving and comfort with ambiguity
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $152,500 to $262,350
Belonging at PayPal:
Any general requests for consideration of your skills, please
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PayPal Sr Manager Data Science United States, Illinois, Chicago
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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
Additional Responsibilities & Preferred Qualifications
Responsibilities
- Design and enhance credit strategy frameworks governing originations, renewals, and portfolio management to support healthy and scalable growth
- Develop and maintain credit policies and guardrails that balance business expansion with sound risk management principles
- Build analytical frameworks and monitoring tools to assess portfolio health, track early warning indicators and identify emerging risks
- Partner with data science on deployment, monitoring and calibration of credit risk models and segmentation strategies
- Collaborate with Commercial, Product, Platform, Governance, Engineering, and Finance teams to integrate credit strategies and decisioning into product design and system architecture
Required Skills
- Proven experience in credit risk strategy, policy development, and portfolio analytics
- Strong understanding of the commercial credit ecosystem including credit products, bureau information, bank and cash flow data, and alternative data sources used for credit risk underwriting and monitoring
- Demonstrated analytical and quantitative skills with the ability to translate insights into actionable strategy
- Excellent communication and influencing skills with experience presenting to senior management
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $169,500 to $291,500
Our Benefits:
Any general requests for consideration of your skills, please
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PayPal Sr Analyst Data Analytics United States, California, San Jose
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Essential Responsibilities:
- Lead advanced data analysis projects, applying statistical models and predictive techniques.
- Mentor junior analysts and provide guidance on best practices in analytics.
- Develop actionable insights and recommendations for senior business stakeholders.
- Design, build, and maintain advanced dashboards and data visualizations.
- Partner with business leaders to identify new opportunities for data-driven improvements.
Expected Qualifications:
- 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Additional Responsibilities & Preferred Qualifications
* ideally candidate should have 5yrs - 8 yrs of full time industry experience
* solid understand of business domains and lifecycle
* able to act and solve quickly
* solid in SQL and Python
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $76,500 to $126,500
Our Benefits:
Any general requests for consideration of your skills, please
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EY Data Architecture & Engineering - Senior Manager United States, New York, New York
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Your key responsibilities
You will be part of diverse teams of professionals across different geographies to deliver a wide range of data and analytics services. You will be solving complex issues and driving growth across financial services.
Skills and attributes for success
- Fostering an innovative and inclusive team-oriented work environment
- Leading and coaching diverse teams of professionals with different backgrounds
- Providing subject matter expertise in defining technical and business approaches
- Working across and influencing different stakeholders within the client organization, cultivating, and executing on business opportunities
- Building strong relationships with the clients including engaging with C-level executives and technical clients
- Initiating and building thought leadership through white papers, point of views, and proof of concepts
- Working in an entrepreneurial environment to pave your own career path
- Propose and drive new technologies to enhance or replace existing business processes
To qualify for the role, you must have
- Undergraduate or master’s degree in a quantitative field (e.g., engineering, computer science, business, economics, finance, statistics, and/or analytics)
- Minimum of 9 years’ experience in banking, capital markets, insurance, or asset management domain with at least 3 years of experience managing a team
- Superior communication (verbal and written) with the ability to effectively advocate technical solutions and results to technology and business audiences at all levels and disciplines within EY and client organizations
- Experience working independently, efficiently, and effectively under extreme time constraints and delivering results by critical deadlines
- Demonstrate exploration of new techniques outside of day-to-day job duties
- Experience presenting technical conclusions to senior officials in a company and other stakeholders
- Strong analytical and problem-solving skills
- Experience with client-facing activities such as requirements gathering, facilitating meetings, presentation creation, and ability to prepare client ready deliverables
- Project management and process development expertise in client serving roles
- Excellent leadership and teaming skills
- Strong organizational and time-management skills
- Ability to integrate new knowledge and adapt to change with a natural curiosity and desire to learn
- A willingness and ability to travel to meet client needs; travel is estimated at 60%
- Valid passport
DAE Specific
- Ability to understand business challenges and address remediations through data architecture and engineering solutions.
- Must have practical experience assisting clients with one or more of strategic Data Architecture and Engineering, Cloud Data Modernization, Data migration and Event-driven architecture, preferably focused on financial services.
- Experience architecting and designing large data platforms, data warehouses and data lakes, streaming applications, data ingestion, integration, and distribution pipelines.
- Practical experience using latest technologies for data ingestion, integration, transformation, storage, mining/warehousing, big data analytics, and visualization.
- Deep understanding of traditional data architecture practices (data warehousing, datahub, MDM, ODS etc.) as well transition to Next-Gen platform architectures such as distributed data lake and Data mesh on cloud, etc.
- Practitioner experience in multiple data technologies such as:
- Cloud Data Platforms (AWS, Azure, Google Platform, Databricks, Snowflake)
- Big Data applications and Distributed Processing (Hadoop and Spark ecosystem components)
- Data integration Tools (Informatica, Talend, etc.)
- Experience with scripting languages: Python, Java, C++, Scala, etc.
- Traditional RDBMS (Teradata, Netezza, MS SQL Server, Oracle, MySQL, PostgreSQL)
- MPP (Snowflake, BigQuery, AWS Redshift etc.)
- NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan, Elasticsearch)
- Streaming Platform and Applications (Spark streaming, Kafka, Storm, etc.)
- Experience with data pipeline and workflow management tools (Airflow, etc.)
- Dev Ops (GitHub, Kubernetes Jenkins, Terraform)
- Data Modeling (Data vault, Star, Snowflake)
Ideally, you’ll also have
- Master’s degree in business administration (MBA) or Science (MS) preferred
- Prior consulting experience
- Experience monitoring performance, reporting, and economics of ongoing progress for the major initiatives of the business unit you support.
- Oral presentation skills, with the ability to lead meetings & hold workshops with executives
- Experience quantifying results to the business, from the front line to senior executives
What we offer you
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,00 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
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EY Senior Data Engineer - EY wavespace AI & hub United States, New Mexico
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CNS - BC - FINANCE :
It has multiple fields of play such as:
Supply Chain and Operations - we provide a unique combination of industry-specific, strategic, operational and financial insights, digital technology advances and strategic alliance partners to deliver better outcomes and also help clients effect fundamental change in their operations’ performance to support sales growth, become more cost competitive, minimize risk and ensure operational resilience.
Technical Excellence
- Demonstrated proficiency in financial analysis and modeling to support strategic decision-making. Strong understanding of industry trends and best practices in business consulting, particularly within the finance sector. Proven ability to develop actionable insights through market research and competitive analysis. Experience in designing and implementing business strategies that drive operational efficiencies for clients. Capable of utilizing consulting frameworks and methodologies to deliver effective solutions tailored to client needs.
Qualification
- Master of Business Administration
Experience
- Project Management (6+ years)
People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful, and able to sustain positive energy, while being adaptable and creative in their approach.If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
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PayPal Sr Data Scientist United States, Illinois, Chicago
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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.
Additional Responsibilities & Preferred Qualifications:
- Develop, refine, and implement credit risk strategies using advanced analytics and unit economics to guide smart, profitable lending decisions
- Take ownership of key performance indicators (KPIs) and metrics related to credit risk for new accounts and applications
- Monitor key portfolio metrics and segment-level performance to identify and address emerging credit risks proactively
- Partner cross-functionally with teams including Machine Learning, Fraud, Compliance, Legal, Marketing, Product, Engineering, Bank Partners, and more to align risk strategies with customer and business objectives
- Effectively communicate complex findings and strategy recommendations to both technical and non-technical audiences
- Lead end-to-end project execution with minimal assistance as a credit risk expert
- Keep up-to-date with industry trends, best practices, and emerging risks related to commercial lending
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $123,500 to $212,850
Belonging at PayPal:
Any general requests for consideration of your skills, please
These jobs might be a good fit
Ebay MTS Software Engineer Data Platform United States, Texas, Austin
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MTS 2, Software Engineer, Data Platform
Job Type: Full-time
About the RoleThis role is focused on Data Platform Engineering not data engineering . While familiarity with Spark, Flink , and other tools in the Hadoop ecosystem is valuable, your primary responsibility will be building and evolving the platform itself , not just authoring data pipelines.
What you’ll do and learnmajor components of eBay’s Data Platforms — from design through production rollout.
Design and evolve distributed systems powering ingestion, streaming, lakehouse/warehouse, catalog, and governance.
Contribute to long-term architecture through design reviews and authoring architecture design documents, ensuring scalability and resilience.
Build systems that balance latency , correctness , and cost while ensuring security and compliance.
Drive operational excellence for services you own, including observability and incident response.
Collaborate across product , infra , and analytics teams to align execution with business needs.
Learn and grow in areas like governance , orchestration , and privacy engineering .
Experience designing large-scale distributed systems (compute, storage, APIs, streaming).
Ability to independently deliver complex projects from requirements to production.
Systems thinker who anticipates bottlenecks, schema evolution, and reliability issues.
Strong communication skills to influence cross-team technical outcomes.
Growth mindset with curiosity to learn new technologies.
Impact at scale : powering global analytics and ML systems.
Challenging problems : streaming, freshness/correctness , and multi-cloud resiliency.
Collaborative culture that values inclusion and knowledge sharing.
Support & growth : flexibility, benefits, and career development resources.
Focus on reliability and sustainable on-call
Qualifications
8+ years of distributed systems or data platform experience.
Proven ability to design and deliver critical systems with impact.
Proficiency in Java/Python , CI/CD , and containerized environments.
Hands-on expertise in tools like Kafka/Flink , Spark , Delta/Iceberg , Kubernetes , NoSQL/columnar stores .
Experience in streaming and batch data platforms.
Strong foundation in algorithms and distributed design .
BS/MS in CS or equivalent experience.
The base pay range for this position is expected in the range below:
$132,000 - $222,100These jobs might be a good fit
Essential Responsibilities:
- Lead and manage data science projects, ensuring timely delivery and alignment with business goals.
- Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making.
- Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives.
- Collaborate with cross-functional teams to understand data needs and provide actionable insights.
- Ensure data quality and integrity through regular audits and validation processes.
- Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.
Expected Qualifications:
- 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Additional Responsibilities & Preferred Qualifications:
- At least 7 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
- At least 3 years of experience in managing analytics teams
- Data driven mindset with a Master’s or Ph.D. degree in any quantitative discipline such as Analytics, Engineering, Computer Science, Economics, Statistics or Mathematics
- Experience in Advanced Analytics: Causal Inference and ML models.
- Fluent in SQL and Python
- Experience analyzing very large, complex, multi-dimensional data set
- Experience with one or multiple of the following will be highly desirable; Jupyter Notebooks, Teradata, Hadoop/Hive, BigQuery
- Domain expertise in payments or other financial services
- Exceptional communication skills, both written and verbal, to influence cross-functional teams
- Prior work experience in a product analytics space would be highly valued
- A passion for problem-solving and comfort with ambiguity
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $152,500 to $262,350
Belonging at PayPal:
Any general requests for consideration of your skills, please
These jobs might be a good fit
