דרושים United States, Missouri, Data Analyst ב-United States

This job will design and implement advanced data science models to support business needs. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists.

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.

• 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

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

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

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.

* 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

This job collaborates closely with the business and finance teams on activities such as forecasting, budgeting, month-end closing, financial/deal modeling, performance measurement, reporting and analysis, you will support the development and implementation of transformation projects, optimizing analytics tools and process strategies. Additionally, you will be responsible for reviewing financial or deal model performance, implementing enhancements as needed, you will contribute to improving processes, and you will be collaborating with stakeholders to gather inputs for business forecasts, summarize insights, and present them to senior leadership.

Essential Responsibilities:

• Support planning and forecasting processes
• Review business performance on regular cadences (weekly, monthly,quarterly)Collaboratewith stakeholders to gather inputs and summarize insights
• Produce executive-level presentations
• Work closely with the finance and technical teams to drive process and system improvements
• Facilitate discussions with various stakeholders, manage expectations, and collaborate cross-functionally
• Consult with finance leads to review and discuss key issues, risks, and dependencies for assigned initiatives
• Document and escalate potential risks/issues, assist in developing mitigation strategies, and support their implementation

Expected Qualifications:

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

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 $84,500 to $140,250

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Engage with team members to contribute to pricing solutions and suggest efficiencies.
• Assist in the collection and analysis of pricing data to support decision-making processes.
• Follow established processes and procedures to ensure accurate pricing implementation.
• Collaborate with peers to share insights and improve overall pricing strategies.
• Participate in team meetings to discuss pricing initiatives and provide input on projects.

Expected Qualifications:

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

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 $69,000 to $113,850

Our Benefits:

Any general requests for consideration of your skills, please