Principal Applied Scientist jobs

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 .

Belonging at PayPal:

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.

• 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 .

Belonging at PayPal:

Any general requests for consideration of your skills, please

Technical Inside Sales Representative (Thai Speaking)

As a Junior Technical Inside Sales Representative, you will deliver technical solutions to the Inside Sales Team that address customers’ varying needs, either working on your own or with a subject matter expert on more complex solutions.
•Act as a technical resource to help the sales organization meet, if not exceed, its goals
•Stay up to date on new products, technology trends and services offerings
•Make outbound calls as part of managing the sales cycle, and respond to field sales, resellers and end customer inquiries
•Focus on Dell Technologies products and services and be able to identify how these products and services align to customer needs
• Explain technical, industry and market facts to position Dell Technologies against an alternative solution•Experience working in a sales environment and in a technical role that shows knowledge of multi-platform hardware and software solutions
•Good analytical, decision-making and organizational skills and a drive for results
•Clear communication skills, both verbal and written in Thai & English.
•Solid customer relationship skills with the ability to build and manage relationships
•Bachelor’s degree in computer science
•Previous relevant experience

Application closing date:30 March 2026

As an Sr. Applied Research technical lead at eBay, you will be at the center of how multi-modal intelligence is applied across products. You will not just support AI development, you will lead a team of applied researchers and machine learning engineers to help define how AI driven solutions operate, scale, and deliver value. Your work will directly influence model quality, operational efficiency, and the ways AI enhances user experience across eBay.

Metrics and Reporting:

Define key performance metrics for AI models. Maintain operational excellence standards for data pipelines and models in production

Tools and Technical Fluency

Ph.D. in AI or equivalent research experience. Proficiency in Python and PyTorch for data processing, model training and inference. Expertise in Vision-Language Models and image/video retrieval. Deep understanding of key computer vision techniques for classification, image/video retrieval, 3D modeling, and Image/Video generation. Bonus: experience with frameworks for large-scale multi-GPU training (e.g. PyTorch Lightening, Nemo etc.) and for large scale inference (TensorRT, vLLM )

Two years plus of experience as a tech lead or a manager of science/engineering teams. Comfortable coaching, and enabling team members to deliver high-quality work through clear direction, support, and collaboration.

Quality and Attention to Detail
Detail oriented in how you work with data, models, documentation, and process. Ability to catch inconsistencies early, ensuring standards are consistently met across workflows and deliverables.

The base pay range for this position is expected in the range below:

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Career As a Principal Consultant for SOC Transformation & XSIAM Deployment, you will be a seasoned leader at the forefront of our most strategic customer engagements. You will leverage a rare blend of consultative presence, deep technical mastery, and executive influence to guide our customers through complex SOC transformations. Your primary role is to drive these large-scale programs, ensuring the successful execution of foundational elements like seamless log migration and the development of sophisticated detection strategies, to deliver measurable security outcomes in highly dynamic enterprise environments.

Your Impact

• Serve as the lead strategic advisor and subject matter expert for customers undertaking a full-scale SOC modernization with XSIAM
• Lead multi-national SOC transformation programs, consolidating fragmented detection and response processes into a unified, AI-driven platform
• Direct enterprise-scale XSIAM deployments, guiding customers from initial strategy to full operationalization
• Devise and oversee comprehensive log ingestion strategies to ensure high-quality data fuels the XSIAM platform
• Architect and implement sophisticated detection strategies and correlation rules to fortify customer defenses against advanced threats
• Fine-tune and optimize log sources and correlation rules to maximize system performance and detection efficacy
• Identify opportunities to enhance analyst alert handling and response through automation
• Transform ambiguity into structured action plans, driving accountability at every level of a customer engagement
• Build and mentor high-performing professional services teams that blend consulting, engineering, and change management expertise
• Partner with Product and R&D teams to incorporate field insights into roadmap priorities

Your Experience

• A proven track record in modernizing Security Operations Centers (SOCs) to achieve automation, AI-driven detection, and measurable improvements in MTTD/MTTR
• Exceptional executive presence, with strong verbal and written communication skills to engage with stakeholders from the SOC analyst to the CISO
• Experience acting as a trusted advisor to senior security leaders, with the ability to diagnose challenges and deliver strategic recommendations
• 10+ years of hands-on experience in deploying and integrating SIEM/security analytics solutions within large enterprise environments
• 8+ years of experience with Security Operations Center (SOC) tooling, processes, and workflows
• Hands-on technical mastery across SIEM, SOAR, EDR, cloud security, and threat intelligence
• Ability to conceive, architect, and develop effective correlation and detection rules
• Familiarity with a range of SIEM technologies, such as Splunk and IBM QRadar, is a plus
• Strong expertise in Regular Expressions (Regex)
• Relevant bachelor's degree or industry-recognized qualifications (CISSP, GIAC, etc.), is a plus
• Must be able to travel up to 30%

As threats and technology evolve, we stay in step to accomplish our mission. You’ll be involved in implementing new products, transitioning from old products to new, and will fix integrations and critical issues as they are raised. But you won’t wait for them to be raised, you’ll seek them out, too. We fix and identify technical problems, with a pointed focus of providing the best customer support in the industry.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $163000/YR - $224500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Career

You will join a dynamic and fast-paced team of seasoned fellow engineers designing and developing multi-tiered applications in a rapidly growing company. As a Principal AI Engineer, you will leverage your extensive experience to act as the trailblazer, helping us build and innovate enterprise-grade full-stack systems with a specific focus on Generative AI transformation.

We are looking for a highly hands-on, extremely technical leader to architect the next generation of our internal and external business applications. You will move beyond traditional software engineering to design intelligent, agentic workflows that revolutionize our Go-To-Market (GTM) processes.

Your Impact

• Lead the architecture and implementation of a Proxy-First "AI Gateway" intermediary layer to ensure seamless LLM vendor independence.

• Design and build a unified API endpoint to abstract LLM complexities and provide centralized control for access and security.

• Implement comprehensive GenAI observability pipelines to track trace-level data, prompt inputs/outputs, and model latency.

• Create architecture to optimize performance and expense by intelligently routing simpler queries to cost-effective models.

• Integrate observability data into the development cycle to identify real-time bottlenecks, high-latency chains, and model drift.

• Institute and promote innovative thinking by incorporating Agentic AI, designing sophisticated Multi-Agent Systems and Agent-to-Agent (A2A) workflows.

• Apply GenAI to complex Go-To-Market (GTM) business logic, automating critical workflows like customer support and entitlement platforms.

• Pioneer "LLM as a Judge" testing methodologies to automate quality assurance of system outputs (correctness, tone, and helpfulness).

• Build robust guardrails to filter inputs and outputs, preventing PII exposure, offensive content, and prompt injection attacks.

• Develop detection mechanisms, including keyword filtering, behavioral analysis, and adversarial training, to protect model instructions from manipulation.

Your Experience

• 10+ years of overall IT system architecture, design, development, and deployment experience.

• Proven track record leading technical teams in Agile/Scrum environments for large-scale implementations with aggressive timelines.

• Experience partnering with business stakeholders to design workflows for Go-To-Market (GTM), sales, or support operations.

• Bachelor’s degree or equivalent in Computer Science or a related field.

• Strong verbal and written communication skills with the ability to explain complex AI concepts to senior leadership.

• Extensive knowledge in building modern applications using Large Language Models (LLMs) such as Llama 3, GPT-4, and Anthropic.

• Deep experience building and maintaining highly observable GenAI systems, including proficiency with tracing and evaluation tools (e.g., LangSmith, Arize, HoneyHive, or custom OpenTelemetry).

• Deep experience with Multi-Agent systems, Agent-to-Agent (A2A) communication, and orchestration frameworks.

• Experience establishing "Golden Datasets" for ground truth testing and performing comparative analysis across different models.

• Expert-level proficiency in Python; familiarity with Java or Node.js for enterprise integration is a plus.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $167000 - $270500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.