Data analyst supporting large-scale supply chain transformation and digital initiatives through advanced data analysis and actionable business insights.
Responsibilities
Collect, integrate, analyze, and interpret large and complex datasets to identify trends, data quality gaps, process issues, and improvement opportunities.
Translate business requirements into analytical solutions, dashboards, KPIs, and data-driven recommendations.
Perform root-cause, variance, and exploratory analysis to identify drivers behind data quality, operational, planning, and process issues.
Develop analytical models, metrics, and data-driven recommendations to support business and operational decision-making.
Perform data profiling, validation, reconciliation, and quality analysis across multiple data sources and systems.
Requirements
Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Economics, Supply Chain, Operations, Business Analytics, or a related discipline
Lead the technical direction and evaluation of GM’s autonomous driving systems, turning data insights into actionable recommendations for engineering and leadership.
Compensation
The base salary range for this role is $250,000 to $384,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Responsibilities
Set the multi-year technical direction for evaluation
Invent new ways to judge overall driving behavior
Define how we evaluate subsystems such as perception, prediction, planning, and localization
Trace bad driving back to the subsystem or interaction that caused it
Define how we tell whether a software or model change actually improves driving
Requirements
Bachelor's, Master's, or PhD in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, Statistics, Data Science, or a related field, or equivalent practical experience
Senior Full-Stack Software Engineer responsible for designing and building scalable, secure, and user‑centric applications for Versant’s next‑generation platforms.
Locations (2)
New York City, New York, United States
Englewood Cliffs, New Jersey, United States
Responsibilities
Collaborate with cross‑functional teams from ideation to launch
Design and build scalable, fault‑tolerant microservices and modern front‑end applications
Leverage SaaS, low‑code/no‑code platforms to accelerate delivery
Participate in code reviews, pair programming, and knowledge‑sharing sessions
Mentor junior engineers and contribute to a culture of continuous learning and improvement
At Uber Health, you will serve as a key technical leader, setting long-term architectural strategy and pioneering our next-generation agentic AI platform to enable autonomous workflows across secure healthcare communication channels.
Locations (4)
New York City, New York, United States
San Francisco, California, United States
Seattle, Washington, United States
Sunnyvale, California, United States
Compensation
For New York City, NY-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp.
Design and scale real‑time dispatch and matching platform for Uber’s global marketplace.
Locations (3)
San Francisco, California, United States
Seattle, Washington, United States
Sunnyvale, California, United States
Compensation
For San Francisco, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
Responsibilities
Design and scale distributed, fault‑tolerant services
Modularize platform with domain‑driven abstractions
For San Francisco, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
Responsibilities
Design and build agentic systems
Partner with operational teams to understand workflows
Develop and deploy production-grade agentic systems
Senior Associate role to drive end-to-end deposits reporting analytics and data modernization for Banking and Wealth Management, ensuring executive-ready insights across regulatory & SEC management reporting.
Responsibilities
Own sourcing, compilation, validation, and distribution of financial data for complex quarterly/annual reporting, including deposits-related regulatory/SEC deliverables and management materials.
Drive stakeholder alignment across product owners, technology, LOB deposit controllers, SEC Reporting, Regulatory Reporting, firmwide reporting, and finance teams in a matrixed environment.
Assist strategic initiatives to automate/enhance reporting infrastructure; assess processes and implement scalable solutions and controls.
Partner on new product and platform initiatives by coordinating finance infrastructure changes, readiness, and control integration (including testing data solutions against submissions/manual processes).
Provide project management discipline (timelines/milestones) and escalate issues constructively with concise, executive-ready communications.
Requirements
Bachelor’s degree in Accounting, Finance, or Management Information Systems
Design, develop, test, deploy, and improve secure, production-ready applications using Java and Python in cloud and hybrid data environments.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Translate stakeholder and business requirements into well-defined technical solutions, prototypes, and delivery plans.
Using Java and Python, create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems
Use SQL to analyze large, heterogeneous datasets, validate assumptions, generate insights, and measure solution impact.
Contribute to scalable, resilient architectures and support reliable deployment, monitoring, validation, troubleshooting, and iterative improvement.
Automate operational processes and help eliminate recurring issues to improve platform stability and efficiency.
Develop and operate agentic AI products supporting Small Business Lending, focusing on LLM orchestration, evaluations, and production-ready AI systems.
Responsibilities
Design, build, and deploy machine learning and generative AI solutions to address business needs.
Build agentic AI systems with LLM orchestration frameworks such as LangChain, LangGraph, or similar tools.
Evaluate agent performance with golden and adversarial test sets, LLM-judge rubrics, and evaluation libraries.
Fine-tune SLMs and open-weight models for custom objectives.
Implement and tune safety guardrails, including input/output checks, prompt-injection defenses, PII handling, and spend limits; monitor effectiveness and false-positive impact.
Requirements
Bachelor’s degree
Master's degree
PhD degree in computer science or a data science-related discipline
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