Senior data analyst- jobs in Salinas, CA - 427 jobs

The Team The FP&A Systems Strategy and Enablement team is a dynamic and integral part of FP&A. Our mission is to collaborate closely with both functional and technical stakeholders across the organization, driving key initiatives that enhance and scale our financial processes. We are dedicated to fostering innovation, optimizing efficiency, and enabling strategic decision-making that supports the overall growth and success of the company. Joining our team means becoming part of a collaborative environment where your contributions will directly impact our ability to deliver on these critical objectives. The Role We are seeking a highly motivated, driven, and intellectually curious Business Systems Analyst to join our team. In this role, you will collaborate with cross-functional teams to support a wide range of analytical tasks, contributing directly to our FP&A systems transformation roadmap. You will play a critical role in driving key initiatives, identifying opportunities for process improvements, and ensuring the successful execution of projects that enhance our financial processes. The ideal candidate will have a strong analytical mindset, excellent communication skills, and the ability to translate complex data into actionable insights that support strategic decision-making. Responsibilities Support Finance Transformation Initiatives: Collaborate with finance and cross-functional teams to support and drive key projects aimed at transforming and improving financial systems and processes while ensuring alignment with the organization's strategic goals. Data Analysis and Reporting: Conduct thorough data analysis to identify trends, patterns, and areas for improvement. Develop, maintain, and deliver accurate and timely reports, dashboards, and presentations that provide actionable insights to stakeholders. Project Management Support: Assist in the planning, execution, and tracking of finance-related projects. Manage timelines, deliverables, and communication to ensure projects are completed on time and within scope. Stakeholder Collaboration: Engage with both functional and technical stakeholders to gather requirements, understand needs, and translate them into clear and actionable plans. Ensure alignment between project objectives and business goals. Documentation and Communication: Develop and maintain comprehensive documentation for projects, processes, and systems. Communicate findings, progress, and recommendations clearly and effectively to all levels of the organization. Risk Management and Issue Resolution: Identify potential risks and issues related to finance projects and processes. Work proactively to develop mitigation strategies and resolve issues as they arise. Support Decision-Making: Provide analytical support to senior management by preparing data-driven insights and recommendations that inform strategic decisions. Continuous Learning and Development: Stay up-to-date with industry trends, best practices, and emerging technologies relevant to finance transformation. Apply this knowledge to drive innovation and improvement within the team. Qualities We're Looking For Experience: +5 years of experience in a similar role, or related position, preferably within a finance or corporate setting. Educational Background: Bachelor's degree in Finance, Business Administration, Economics, Management Information Systems, or a related field. Experience with financial planning or modeling is preferred. Analytical Skills: Strong analytical and problem-solving skills, with the ability to interpret complex data, identify trends, and make data-driven recommendations. Project Management: Experience in supporting project management activities, including planning, execution, and monitoring. Familiarity with project management methodologies (e.g., Agile, Waterfall) and PM software platforms such as Smartsheets, Airtable , JIRA etc is a plus. Communication Skills: Excellent verbal and written communication skills, with the ability to present complex information clearly and concisely to various audiences. Stakeholder Management: Demonstrate ability to collaborate with and manage relationships with diverse stakeholders, including technical teams and senior leadership. Attention to Detail: Strong attention to detail, with a commitment to accuracy and quality in all work outputs. Process Improvement Mindset: Experience in identifying process inefficiencies and implementing improvements to enhance productivity and efficiency. Adaptability and Learning Agility: Ability to quickly learn new concepts, systems, and tools. Willingness to adapt to changing priorities and environments. Problem-Solving Orientation: Proven ability to think critically and creatively to address complex challenges and develop effective solutions. Organizational Skills: Strong organizational skills with the ability to manage multiple tasks and projects simultaneously, meeting deadlines and maintaining high standards. Technical Proficiency Preferred: Have worked in planning tools such as Anaplan, TM1 or Adaptive Planning. Pay Rate Range $70-110/hr.

A leading technology company in Cupertino is seeking a litigator to join their commercial litigation team. The ideal candidate will have over 4 years of experience in litigation, particularly in competition-related matters. Strong communication, analytical, and negotiation skills are essential. This role includes formulating strategies, collaborating with cross-functional teams, and managing regulatory investigations. Competitive salary and comprehensive benefits offered. #J-18808-Ljbffr

Location: Bay Area, CA or Tucson, AZ (On-site). This role will require traveling to the Pleasanton and/or Tucson offices. Employment Type: W-2 Salary, W-2 Hourly, or C2C. Duration: 12 months. Possibility of renewal depending on personal performance and business needs. Rate: $60 - $75/hr W-2 Hourly. About Us Concord isn't your typical consulting firm; we are an execution company with a passion for making things happen. Our mission is to help clients enhance customer experiences, optimize operations, and revolutionize their product offerings through seamless integration, optimization, and activation of technology and data. We are purpose-built, merging the industry's top specialty companies to amplify our Innovation Capabilities in analytics & AI, data management & engineering, UX and digital experience, and technical platform integration, automation & security engineering. About the Role We are seeking an experienced Business Analyst / Consultant to support digital transformation initiatives within Research & Development (R&D), with a strong focus on laboratory systems and process optimization. This role will support the implementation of a new Laboratory Information Management System (LIMS) and play a key role in driving operational excellence, data governance, and regulatory compliance across global R&D operations. In this role, you will act as a key consultant, partnering closely with scientific, technical, and business stakeholders to assess current-state processes, identify gaps, and define clear functional and technical requirements to enable successful system implementation and adoption. This role supports a strategic digital transformation program aimed at retiring legacy laboratory tools and implementing a modern, scalable LIMS for biospecimen and laboratory data management. The program focuses on improving process efficiency, data integrity, compliance, and integration across digital lab technologies. Key Responsibilities Digital Tool Consulting & Integration: Support the migration from legacy laboratory systems to a unified LIMS platform, ensuring a smooth transition and full divestment of legacy tools by target timelines. Partner with cross-functional teams to ensure seamless integration with existing digital lab technologies and enterprise systems. Advise on best practices for system configuration, data migration, archival, training, and validation. Process Improvement & Operational Excellence: Lead process improvement initiatives using Lean / Lean Six Sigma methodologies to reduce inefficiencies and improve laboratory operations. Facilitate operational excellence and process-mapping workshops across multiple functions. Conduct current-state and future-state assessments to identify functionality gaps and scalable solutions aligned with R&D objectives. Business Analysis & Stakeholder Engagement: Engage with R&D scientists, engineers, and technical teams to gather, document, and validate business and system requirements. Translate scientific and operational needs into clear, unambiguous functional and technical requirements for vendor implementation. Evaluate implemented solutions to measure value realization and recommend continuous improvements. Data Governance, Quality & Compliance: Advise on adherence to FAIR data principles, GDPR, and global data privacy and regulatory requirements. Ensure systems support audit-ready documentation, traceability, and secure management of biospecimens and experimental data. Collaborate with IT and digital teams to enable a strong data backbone supporting automation, connectivity, and emerging technologies (e.g., sensors, IoT). Qualifications 5+ years of experience in business analysis, consulting, or process improvement roles in the biopharmaceutical and diagnostics industry. Proven experience applying Lean, Lean Six Sigma, or similar methodologies in complex environments. Related certification is a must. Hands-on experience implementing or supporting modern LIMS and biorepository platforms; familiarity with system integrations and complex digital ecosystems. Strong understanding of biospecimen lifecycles, laboratory workflows, ethics, and data privacy considerations. A scientific background is a big plus. Ability to leverage connected data to generate insights and support data-driven decision-making. Demonstrated experience in change management and driving the adoption of new digital tools and enabling cultural shifts toward standardized, data-driven processes. Strong communication skills with the ability to engage effectively with both technical and non-technical stakeholders, including senior leadership. Self-motivated individual who can maintain the quality, accuracy, and timeliness of deliverables. Strong interpersonal skills and the ability to build effective working relationships inside and outside their functional area. Ability to work in a fast-paced, dynamic environment with efficiency, and capable of handling multiple projects. What We Offer (W2 Employment) Health, Dental, and Vision Insurance: Comprehensive coverage to support your overall well-being. Employer Contributions to Health Savings Accounts (HSA): For employees enrolled in High Deductible Health Plans, Concord contributes toward your HSA. Flexible Spending Accounts (FSA): Options for healthcare and dependent care expenses, plus a Lifestyle Spending Account (LSA) for wellness and personal development. Disability Insurance: Short-term (up to 12 weeks) and long-term coverage, fully paid by the employer. Life and AD&D Insurance: Employer-provided coverage with options for additional voluntary coverage. Employee Assistance Program (EAP): Support for legal, financial, and personal challenges. 401(k) Retirement Savings: 1% employer match. Career Growth Opportunities: Pathways for advancement and skill development. Team Engagement Activities: Regular team-building events and company-sponsored activities to foster collaboration and connection.

A leading technology solutions provider is looking for a Senior Lead Thermal Engineer in San Jose, CA. The role involves leading the thermal design of high-end electronics cooling solutions for AI servers and other systems. Candidates should have a Master's degree in Engineering, preferably in Thermodynamic Engineering, and a solid foundation in thermal modeling, heat transfer, and fluid mechanics. Join a team committed to innovation and quality. #J-18808-Ljbffr

Bristlecone is the leading provider of AI-powered application transformation services for the connected supply chain. We empower our customers with speed, visibility, automation, and resiliency - to thrive on change. Our transformative solutions in Digital Logistics, Cognitive Manufacturing, Autonomous Planning, Smart Procurement and Digitalization are positioned around key industry pillars and delivered through a comprehensive portfolio of services spanning digital strategy, design and build, and implementation across a range of technology platforms. Bristlecone is ranked among the top ten leaders in supply chain services by Gartner. We are headquartered in San Jose, California, with locations across North America, Europe and Asia, and over 2,500 consultants. Bristlecone is part of the $19.4 billion Mahindra Group. EQUAL OPPORTUNITY EMPLOYER: Bristlecone is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status . INFORMATION SECURITY RESPONSIBILITIES: Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System. Take part in information security training and act while handling information. Report all suspected security and policy breach to InfoSec team or appropriate authority (CISO). Understand and adhere to the additional information security responsibilities as part of the assigned job role. #J-18808-Ljbffr

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join Us Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us. About the Team Our team plays a crucial role in ensuring the company's success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you'll be part of a team that's developing new solutions to new challenges. It's working fast, at scale, and we're making a difference. We are looking for talents to join us on this exciting journey! Responsibilities Conduct data analysis to understand data, provide actionable insights, and measure the data through experimentation and causal inference. Design metrics framework to measure product health, track core metrics, and understand root causes of metric movements. Conduct scientific evaluation with statistical methods, including A/B testing and causal inference. Identify growth opportunities with data analytics and drive business decisions. Partner with Product Managers, Machine Learning Engineers, and Research and Development team members to solve problems and identify trends and opportunities. Research data science theories and methodology and improve analysis efficiency and data product tools. Work with large, complex data sets to solve difficult, non-routine analysis problems by applying advanced analytical methods as needed. Visualize and synthesize analytics and statistical approaches into easy-to consume storylines for the team to provide indicated actions for executive audiences. Interact cross-functionally, making business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information. Mentor junior and intern Data Scientists.Qualifications Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Data Analytics, Business Analytics, Finance, Statistics, Mathematics, or a related field, and 2 years of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Data Analytics, Business Analytics, Finance, Statistics, Mathematics, or a related field, and 5 years of post-bachelor's, progressive related work experience. Of the required experience, must have 2 years of experience in each of the following: Mining, preparing, cleansing, and analyzing structured data using statistical computing languages SQL, Python, or R for metrics creation, root cause analysis, and model preprocessing; Leveraging advanced data gathering, processing, and analysis techniques to develop and deliver data-driven recommendations to support business decisions; Designing A/B tests, conducting statistical analysis, and interpreting A/B test results to provide insights for product features; and Developing graphical and visual representations of data using business intelligence tool Excel or Tableau. Travel Requirement: International travel required up to 10%. Type: Full time, 40 hours/week Location: San Jose, CA Salary Range: $275850 - $329333 per year To Apply, click the apply button below. Contact ******************** if you have difficulty submitting resume through the website. TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at ****************************** #IND-DNI

**Posting Title:** JDE Business Systems Analyst **Reports To:** Director, Enterprise Solutions **Salary Range:** $130,500 to $172,000 Final determination of a successful candidate's starting pay will vary based on a number of factors, including market location and may vary depending on job-related knowledge, skills, education and experience. The pay scale listed for this position is generally for candidates that meet the specified qualifications and requirements listed on this specific job description. We provide a competitive compensation package that recognizes your experience, credentials, and education alongside a robust benefits program to meet your needs. Our compensation reflects the cost of labor across several US geographic markets. **WHO WE ARE** For more than 70 years, Cupertino Electric, Inc. (CEI) has been powered by people who've built a reputation for delivering high-profile, complex projects. Real, tangible things that alter the landscape and improve lives. But even more than that, we've built a reputation for integrity. We're problem solvers and innovation seekers. We're team players and safety fanatics. And we always-always-do the right thing. Even when no one is looking. Because what we do here is important, but how we do it is everything. **THE IT TEAM** Our projects may be complex, but our approach is simple: We build great things and we do it with great people. Using well-designed processes and controls, integrating smart and reliable solutions, and providing access to the information needed, our IT Team comprised of seasoned and experienced professionals, enable the success of the organization. We do this while minimizing operational and financial impact. **ABOUT THE ROLE** CEI is seeking a highly motivated professional for the position of IT Business Systems Analyst. The analyst understands business processes and their related IT requirements, specifically as they relate to the HRIS and Payroll systems. The Business Analyst drives the definition, optimization and improvement of new and existing business processes via development of business and functional requirements. The Business Analyst manages process compliance as appropriate (e.g. internal controls, regulatory requirements, other business process, etc.) including development and delivery of documentation and training material. As the Business Systems Analyst, you will serve as a conduit between business, IT, and external partners to collaborate on all JDE related requirements, process, documentation, and training. The Analyst will participate in strategy discussions to understand and capture high level business needs and deliver detailed functional specification documents for signoff in preparation for development. As the primary IT owner of the HR module and sub-systems interfacing with them, you will provide effective solutions to the HR & Payroll teams to address business scenarios, and guide them through the appropriate business processes related to setting up Employees, PDBAs, AAIs, budgeting, Payroll runs in the system. **_Knowledge:_** Having wide-ranging experience, uses professional concepts and company objectives to resolve complex issues in creative and effective ways. Some barriers to entry exist at this level (e.g., dept/peer review). **_Job complexity:_** Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results. Networks with key contacts outside own area of expertise. **_Supervision:_** Determines methods and procedures on new assignments and may coordinate activities of other personnel (Team Lead). **ABOUT YOU** You are an experienced professional with a full understanding of systems architecture concepts and methodologies, application platforms and their application, and knowledge of infrastructure platforms and their application. The ideal candidate has an understanding of the following: how a company manages projects and jobs while tracking costs and revenues, cost code structure associated with jobs and projects, analysis and reports to help manage projects and jobs, how to recognize and record profit or loss throughput a project or job. You have experience in the following JD Edwards Modules: General Ledger, Accounts Receivables, Accounts Payable, Fixed Assets, Procurement & Subcontract Management, Contract & Service Billing, and Service Work Orders. **WHAT YOU WILL GAIN** In this role, you will have the opportunity to integrate your knowledge and expertise into the current processes and procedures of the business. You will make a direct impact on our teams by designing and developing enterprise-wide solutions and applications. You will refine your skillset by effectively communicating technical information to non-technical user groups. You will actively practice one of our core values, Innovation, by identifying system issues, determining root causes, and implementing creative solutions for temporary workarounds and permanent fixes. You'll respond to functional and technical issues including troubleshooting, issue management, and initiate actions with technical support teams as needed. At Cupertino Electric, you will be part of an environment where employees feel that their contributions truly matter-and you will be part of making that happen. \#LI-DM1 **PLEASE NOTE:** CEI will never ask for any money or financial information from applicants during the hiring process. To learn more about "job scams" how to avoid them, click here. (******************************************** CEI is a place where every single person can-and does-have an impact on the work we do and the communities we serve. Here, you can build your own story and grow to your full potential. You can collaborate and celebrate with amazing people. And you'll go home every day knowing you helped contribute to important work that shapes people's lives. Our commercial, data center and energy projects may be complex, but our approach is simple. We build great things and we do it with great people. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department, program or project needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Cupertino Electric, Inc. (CEI) is proud to be an Equal Employment Opportunity and affirmative action employer. We celebrate diversity and do not discriminate based on race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law. Cupertino Electric Inc. aims to make cei.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, please contact us at *************** or 1-(877)-747-4CEI. Cupertino Electric, Inc. (CEI) is proud to be an Equal Employment Opportunity and affirmative action employer. We celebrate diversity and do not discriminate based on race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law.

About The Team Internal Audit is a global function responsible for providing independent assurance and evaluating the company's risk management, governance and internal control processes to determine if they are designed and operating effectively. The Internal Audit team plans and executes audit projects according to our risk-based audit plan by evaluating financial, compliance, operational, and IT processes and controls. We work with business functions in addressing risks and improving the control environment through timely and comprehensive audit work and tracking of remediation actions until completion. We are looking for data scientists and AI developers who will power our mission by building data products that enable and empower continuous auditing and the identification and discovery of risks throughout various verticals. You will be deploying your engineering, data analytics and data science skills to be part of the mission to build state-of-the-art analytics products for the audit team. Responsibilities - Proficiency in frameworks for auditing models, including criteria like robustness, fairness, interpretability, alignment, and compliance. Familiarity with emerging LLM auditing methodologies such as LLMAuditor (probe generation/answering cycles, human-in-the-loop assessments). - Model Evaluation & Audit Frameworks: conduct audits on the model lifecycle from training through deployment and monitoring, ensuring compliance with quality, performance, fairness, and risk-management standards. - Risk Identification & Mitigation: Identify model vulnerabilities including bias, fairness violations, harmful hallucinations, security risks, and recommend remediation strategies. - Measurement Metrics & Statistical Validation: Define and assess model performance metrics (accuracy, precision/recall, F1, calibration, robustness, fairness metrics), measurement of hallucination rates in LLMs, bias/fairness quantification, confidence scoring, and stability analyses. - Communication & Collaboration: Develop and maintain collaborative working relationships with stakeholders, including data partners and owners across different business verticals. Clearly communicate technical findings, risk assessments, and recommendations to technical and non-technical stakeholders. - Data Analytics Services: Partner with auditors to provide data support and guidance for audit engagements, including conducting interviews, observing systems and operations, developing queries and testing strategies, deploying data quality checks to ensure completeness and accuracy for data sets, and deriving insights. - Data Warehousing: develop and maintain data warehouses across different business verticals to efficiently support audit engagements; implement data quality checks for key data assets and continuously collaborate with data partners to maintain completeness and accuracy of these assets. - Automation and self-service analytics: partner with auditors to identify and analyze key risk indicators, contribute to a continuous auditing data strategy that will translate into various use cases and corresponding data solutions that can automate the evaluation of the design and effectiveness of controls; build and maintain ETL data pipelines, as well as dashboards to support the solutions. - AI-Driven Automation and Insights: Leverage machine learning and AI to automate business and audit processes, surface insights from unstructured and structured data, and extend the team's ability to deliver actionable recommendations at scale. Develop, train, and implement proprietary machine learning and AI models, to scale up audit testing insights. - Professional Development: Continue to develop and expand knowledge in data analytics practices, machine learning, AI, and ByteDance products through continuous education. Provide data training to empower the audit team to derive insights. Minimum Qualifications - Bachelor's degree in a quantitative discipline, such as Mathematics, Statistics, Computer Science, Financial Engineering, Operations Research, or Economics. - Minimum of 5 years professional experience in applied data science, machine learning engineering, or AI research, specifically working with LLMs and traditional ML models and at least 5 years practical experience of data science or analytics from the technology sector, including but not limited to B2C SaaS, media tech, e-commerce, social media platforms, fintech etc. - Hands-on experience in designing, deploying, and monitoring large-scale ML models with thorough understanding of lifecycle risks and controls plus strong proficiency in SQL and Python (including libraries such as Hugging Face Transformers, TensorFlow, PyTorch, scikit-learn), data analysis tools, and ML pipeline orchestration platforms. - Expertise in defining and assessing model performance metrics (accuracy, precision/recall, F1, calibration, robustness, fairness metrics), measurement of hallucination rates in LLMs, bias/fairness quantification, confidence scoring, and stability analyses. - Extensive knowledge of transformer-based LLM architectures (e.g., GPT, BERT, T5, PaLM) and classical ML algorithms (e.g., regression, tree-based methods, neural networks). - Working knowledge of classical ML algorithms and LLM architecture and deep technical expertise in LLMs and Traditional ML and a proven track record supporting or performing AI/ML model audits or evaluations within a corporate, regulatory, or advisory context. - High oral, written, reading and listening proficiency in Mandarin is required due to system use, technical documents and frequent communication with Chinese stakeholders. Preferred Qualifications - PHD degree in a quantitative discipline, such as Mathematics, Statistics, Computer Science, Financial Engineering, Operations Research, or Economics. - Proficiency in frameworks for auditing models, including criteria like robustness, fairness, interpretability, alignment, and compliance. Familiarity with emerging LLM auditing methodologies such as LLM Auditor (probe generation/answering cycles, human-in-the-loop assessments). - Ability to analyze model design, training methods, data pipelines, and inference behaviors. - Capability to identify model vulnerabilities including bias, fairness violations, harmful hallucinations, security risks, and to recommend remediation strategies. - Experience building and maintaining data analytics solutions for continuous audit programs, including automating common analyses and recurring checks plus the ability to clearly communicate technical findings, risk assessments, and recommendations to technical and non-technical stakeholders. - Experience with data integration, ETL processes, and large-scale data processing systems plus working knowledge of cloud-based infrastructure such as AWS, GCP, Azure or Snowflake; working knowledge of large scale data processing techniques, such as Hadoop, Flink and MapReduce and a good understanding of data warehouse and data modeling principles. - Front end and back end software development skills.

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: Be a senior member of the PayPal Checkout Analytics team, with expertise in deriving actionable insights through deep-dive analysis. Skilled in supporting new product and feature launches by designing robust test-and-control frameworks and implementing continuous monitoring to track and optimize product performance. Job Description: We are seeking a Senior Data Scientist for our Checkout Analytics team who excels beyond traditional reporting and analysis. This leader will leverage PayPal's extensive data to uncover actionable insights, gaining a deep understanding of the Consumer Experience, Payment ecosystems, and site functionality. Along the way, they will enhance their analytical, leadership, and presentation skills while collaborating closely with diverse functional teams across PayPal. Key Responsibilities * Conduct deep-dive analyses on key business trends from multiple angles, delivering insights in clear, actionable presentations. * Design visually engaging data outputs that are intuitive for end-users to explore and understand. * Define critical metrics and develop executive-facing dashboards to monitor business performance and track progress on high-priority initiatives. * Identify key business levers, establish cause-and-effect relationships, and effectively communicate insights to stakeholders to drive data-informed decisions. * Collaborate with teams across Risk, Product, Marketing, and others to analyze performance trends, identify root causes, and solve complex challenges. * Facilitate new product launches by developing test-and-control plans and implementing continuous monitoring to assess product performance. * Build strong relationships with stakeholders, proactively anticipating and addressing potential executive inquiries. Basic Requirements: * Bachelor's or Master's degree, and a PhD in a quantitative field (e.g., Analytics, Statistics, Mathematics, Economics, Engineering) or equivalent industry experience. * 2-4 plus years of professional experience in an analytical role, with proven success managing teams of analysts or data scientists. * Proficiency in databases, spreadsheets, and statistical tools, with advanced skills in SQL, data mining, and BigQuery analytics (Google Cloud). * Extensive experience in experimentation, including designing, executing, and analyzing product or feature launches. * Expertise in synthesizing complex data into clear, actionable insights and narratives. * Experience working with large, multi-dimensional datasets and solving analytical challenges. * Familiarity with one or more tools such as Python, Tableau, Jupyter Notebooks, Teradata, Hadoop/Hive, SQL, and BigQuery is highly desirable. * Strong problem-solving abilities and the capability to deliver actionable recommendations based on analysis. * Advanced proficiency with reporting tools like Tableau and Excel for creating and sharing insights. * Industry experience in payments, eCommerce, or financial services is a plus. * Strong written and verbal communication skills with the ability to translate complex problems into simpler terms, and effectively influence both peers and senior leadership Additional Responsibilities & Preferred Qualifications: Subsidiary: PayPal Travel Percent: 0 * The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is: Primary Location | Pay Range: San Jose, California | ($143,500.00 - $212,850.00 Annually) Additional Location(s) | Pay Range: No other locations are assigned to this requisition currently. Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable. This role is also eligible for a range of benefits which may include, medical, dental, vision, life and disability insurance, parental and family leave, 401(k) savings plan, paid time off, and other benefits. For more information visit ******************************* PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit ************************************ For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit ******************************* Who We Are: Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at ****************************************. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

By joining Bio-Techne, you'll join a company with a powerful and positive purpose of enabling cutting-edge research in Life Sciences and Clinical Diagnostics. Bio-Techne, and all of its brands, provides tools for researchers to further treat and prevent disease worldwide. Pay Range: $89,300.00 - $146,900.00 Position Summary: As a Senior Data Analyst - Operations & Supply Chain, you will be a key contributor in driving supply chain agility, operational excellence, and cost efficiency through data. This role sits at the intersection of analytics, business operations, and strategy, supporting teams across manufacturing, planning, inventory management, and fulfillment. You will develop scalable analytics tools and provide actionable insights that directly influence decision-making, with a focus on areas such as inventory optimization, demand forecasting, MRP alignment, and capacity planning. You will work cross-functionally with business leaders, stakeholders, and technical teams to build scalable analytics solutions that optimize our supply chain and operational processes. Key Responsibilities: Develop Advanced Analytics Solutions: Build and maintain dashboards and tools using Power BI, SQL, and Excel to deliver end-to-end visibility across supply chain KPIs including inventory turns, forecast accuracy, OTD, and production throughput. Supply Chain & Manufacturing Analysis: Analyze complex datasets from ERP/MRP systems, demand plans, and production schedules to uncover inefficiencies, delays, and root causes. Drive continuous improvement in areas such as order flow, raw material availability, safety stock, and build plans. Inventory Planning & Forecasting: Support demand and supply planning by building models that improve inventory health, predict shortages or overages, and align stock levels with customer demand and production constraints. MRP System Integration: Partner with planning and operations teams to ensure data models and recommendations align with MRP logic and master data structures. Help shape BOM, lead time, and lot size assumptions to improve planning accuracy. Strategic Insights & Decision Support: Translate data into strategic recommendations for operations and supply chain leaders. Focus on balancing service levels, working capital, and operational cost through better planning and scenario modeling. Automation & Scalability: Design and implement automated pipelines, workflows, and reporting processes that reduce manual work, increase visibility, and enable proactive response to supply/demand variability. Stakeholder Engagement: Act as a thought partner to manufacturing, logistics, and finance stakeholders. Communicate findings clearly and tailor insights to operational, technical, and executive audiences. Mentorship & Collaboration: Provide guidance to junior analysts and support a culture of data fluency across the supply chain team. Project Leadership: Lead and manage high-impact analytics initiatives, ensuring timely delivery and alignment with organizational goals. Required Qualifications: Bachelor's degree in Supply Chain, Finance, Accounting, Operations, Business Analytics, Industrial Engineering, or related field 6-8 years of experience in data analytics with a strong focus on supply chain, operations, or manufacturing Advanced proficiency in Power BI, SQL, and Excel, with experience in automation and scripting Proven experience with inventory planning, demand forecasting, MRP, ERP systems Experience with predictive modeling, regression analysis, and correlation techniques Ability to distinguish signal from noise in complex datasets, providing clear insights for leadership Proven track record of developing scalable, long-term analytical solutions Strong project management skills with the ability to lead and execute initiatives Strong business acumen and understanding of how supply chain data impacts cost, service, and capacity Strong understanding of financial and operational metrics and how they influence business performance Clear and confident communication skills, including stakeholder-facing presentations Preferred Qualifications: Experience working with Salesforce, Smartsheet, or other business intelligence tools is a plus Experience building dashboards and tools that drive operational execution and planning decisions Experience in a warehouse, manufacturing or production environment Familiarity with production scheduling, capacity planning, and BOM structures Statistical or ML modeling experience for forecast or simulation Knowledge of Lean, Six Sigma, or process improvement methodologies Experience working with cross-functional data (e.g., sales, finance, operations) to enable full-picture decision-making Why Join Bio-Techne: We offer competitive insurance benefits starting on day one: medical, dental, vision, life, short-term disability, long-term disability, pet, and legal and ID shield. We invest in our employees' financial futures through 401k plans, an employee stock purchase plan (ESPP), Health Saving Account (HSA), Flexible Spending Account (FSA), and Dependent Care FSA. We empower our employees develop their careers through mentorship, promotional opportunities, training and development, tuition reimbursement, internship programs, and more. We offer employee resource groups, volunteer paid time off, employee events, and charity drives to build a culture of caring and belonging. We offer an accrued leave policy with paid holidays, paid time off, and paid parental leave. We foster a culture of empowerment and innovation, where employees feel valued and encouraged to bring their new ideas to the table. Bio-Techne is an E-Verify Employer in the United States. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. To protect the interests of all, Bio-Techne will not accept unsolicited resumes from any source other than a candidate application. Any unsolicited resumes sent to Bio-Techne will be considered Bio-Techne property.

#DS-AVN Our client, a pioneer in reshaping consumer credit using innovative technology, is committed to reducing capital costs. They strongly believe in universal access to capital, crucial in today's capital-based economy, with over $1 trillion in unsecured credit card revolving balances. The journey of credit cards since the '60s, culminating in balances exceeding $1 trillion in 50 years, reveals the existing challenges. Unsecured credit, despite its efficiency in quick underwriting and access to capital in 1-3 days, comes at a high cost (15-25% APR). Conversely, secured capital involves high origination costs and prolonged processes (weeks in underwriting, months for access) but offers cheaper rates ( Innovating the credit landscape, our client introduced a new asset-backed credit card, securing equity in homes, cars, and other assets. This innovation allows them to offer remarkably low APRs to consumers. Their flagship product boasts the world's lowest APR credit card, aiming to change the credit paradigm. Funding: Backed by substantial equity funding of over $250 million, our client comprises a well-capitalized team comprising technology (Microsoft, Facebook) and finance (Square, Discover, CapitalOne, Goldman) experts. With top-tier investors like Founders Fund, Khosla Ventures, Caffeinated Capital, Max Levchin, NYCA, and Sequoia, our client continues to lead the charge in transforming consumer credit. Additionally, they recently secured Series D funding, further solidifying their position in this innovative endeavor. Role: Data Scientist Join a dynamic startup that's pioneering innovative paths in technology across multiple sectors. We are seeking a highly skilled Data Scientist who thrives on analyzing and deriving insights from complex data sets to drive product strategy and business decisions. In this role, you will collaborate closely with diverse teams, including Product, Engineering, Marketing, Sales, Finance, and Data Science, to develop and implement data-driven strategies that enhance product performance and customer satisfaction. Responsibilities: Partner with cross-functional teams to influence product strategies using advanced analytical and scientific methods. Utilize statistical, machine learning, and econometric models on large datasets to measure outcomes, identify causal impacts, and attribute effects. Predict future performance of users or products using robust data-driven methodologies. Design, implement, and launch innovative data science solutions to bolster decision-making at all levels. Analyze experiment results and interpret data to refine product offerings and strategies. Develop and monitor key performance metrics for products, ensuring data accuracy and actionable insights. Lead the enhancement of data collection practices and refine existing data to improve overall data quality. Who Should Apply: Individuals with over 5 years of data science experience and demonstrated thought leadership in the field. Those holding a PhD or MS in a quantitative discipline such as Engineering, Mathematics, Natural Sciences, or Economics. Experts in a scientific computing language (R or Python) and proficient in SQL. Professionals with deep theoretical and practical knowledge in statistics, machine learning, and experimental design. Excellent communicators with strong abilities to convey complex data in a clear and persuasive manner. Experienced in designing and scaling complex modeling solutions from concept through to production. Influential in high-stake decision-making processes with strong project management skills. This position offers an exceptional opportunity to be at the forefront of technological innovation and to shape the future of a fast-growing startup. If you are a motivated Data Scientist eager to make a substantial impact through your analytical expertise and strategic insights, we would love to hear from you. Cash Comp in the range of $200K-$300K.

Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity: The Sr Data Scientist, Risk will offer a strategic perspective, deep analytical and modeling capabilities, and a collaborative working style. The right candidate will have strong intellectual curiosity and passion for achieving business results. An ability to quickly define the problem, research and leverage state-of-the-art modeling techniques, and provide timely recommendations will be essential. Key skills will include a strong analytical mindset, deep understanding of most popular machine learning algorithms and lead key initiatives with integrity and a passion for investigations, problem solving, and troubleshooting. What You'll Be Doing: Identify complex fraud patterns and their technical root causes through detailed data mining and analysis, including identification of sophisticated fraud methods employed by actors who are deliberately trying to avoid detection. Serve as technical SME by sharing new data mining techniques, maintaining technical reference documentation, and interfacing with partner technology teams. Collaborate across business and technology stakeholders to communicate analytical findings to both technical and non-technical audiences. Provide technical guidance for engineering projects that incorporate new data points into the investigation team's toolkit, such as API integrations or internal data transformations. Link Analysis/Graph analytics to find and mitigate deeply-connected fraud networks and detect new accounts being added to these networks Unsupervised learning methods to augment existing supervised models, or detect portfolio anomalies Development of machine learning models Partner with product and engineering team in implementing features and models, and enhancing systems What We Look For In You: Master's degree (or PhD) in Statistics, Mathematics, Operations Research, Computer Science, Economics, Engineering or other quantitative discipline. Bachelor's degree with significant relevant experience will be considered. 4+ years of fraud analytics experience in financial services or FinTechs Crypto/Blockchain experience Deep understanding of modern machine learning techniques / algorithms including GBM, XGBoost, LGBM, etc. Advanced programming skills of statistical / analytical software (SQL, R, Python,etc.); Successful track record of owning and driving large, complex data analysis projects. Demonstrated capacity for innovation and outside-the-box thinking in the creation of new capabilities and processes that are unstructured or exploratory in nature. Experience in a fast-paced startup environment with a strong level of initiative; and Ability and willingness to travel as needed. Strong communicator in both writing and speaking Multi-tasking and strong project management skills Nice to Haves: Hands-on experience/knowledge of modeling in machine learning (GBM, XGBoost, Random Forest, etc.); and Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: The salary range for this position is $223,661.00 to $268,333.00. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Okcoin and OKX internal or external careers site. OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #LI-HYBRID#LI-ED1 Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX's Candidate Privacy Notice.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Adobe's Customer Solutions (ACS) organization is looking for an Business Intelligence Analyst, Advanced Analytics and Reporting to design, build, and scale intelligent analytics solutions that drive actionable insights across our Digital Experience business. In this role, you will work hands-on across data engineering, advanced analytics, and AI/ML to deliver trusted reporting, predictive insights, and next-generation intelligence that improves customer adoption, retention, and value realization. You will operate as an inspiring leader, partnering closely with business and technical customers to turn complex data into clear, decision-ready insights. What You'll Do Advanced Analytics & Insights * Own end-to-end development of advanced analytics, dashboards, and data products focused on customer success metrics such as renewals, adoption, churn risk, NDR, and value realization. * Translate complex datasets into clear, compelling narratives and actionable recommendations for senior leaders and partners across multiple functions. Data Engineering & Architecture * Design, build, and maintain scalable data pipelines integrating large datasets across subscription, services, usage, and customer health domains. * Ensure data quality, consistency, and governance to support reliable, enterprise-grade analytics and reporting. AI / ML Engineering * Develop and deploy predictive and prescriptive models to surface churn risk, expansion signals, and consumption health. * Build and operationalize ML- and LLM-powered insight workflows and agents that automate analysis and enable next-best-action recommendations. Visualization & Storytelling * Create executive-ready dashboards and reports using Power BI (and related tools), optimized for clarity, performance, and decision-making. * Embed advanced metrics, forecasting, and insights generated by machine learning directly into analytics experiences. Collaboration Within Multi-Functional Teams * Partner closely with Customer Success, Engineering, Professional Services, Sales Operations, and Product teams to align analytics solutions with business priorities. * Act as a trusted analytics advisor, influencing decisions through data rather than formal authority. Operational Excellence * Continuously improve analytics processes, performance, and scalability. * Contribute to standards, procedures, and reusable frameworks across the analytics ecosystem. What You'll Need to Succeed * Bachelor's or graduate degree in Computer Science, Data Science, Business, or a related field. * 3+ years of hands-on experience in advanced analytics, data science, business intelligence, or data engineering roles. * Strong expertise in SQL, Python, Spark, and cloud platforms (Azure, AWS, or GCP). * Demonstrable experience in building scalable data pipelines, advanced dashboards, and executive-level reporting (Power BI, Tableau, Adobe Workspace). * Demonstrated track record of developing and deploying ML/AI models in production environments. * Solid understanding of SaaS business models and Customer Success domains (renewals, adoption, churn, value realization). * Superb communication skills with the ability to clearly explain complex analysis to senior and non-technical audiences. Strong organizational skills with the ability to manage multiple initiatives and deliver outcomes in fast-paced environments. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $109,000 -- $200,700 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $138,600 - $200,700 In New York, the pay range for this position is $138,600 - $200,700 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

Role -ETL Architect with GCP Experience 15+ years' Data Engineering experience. 5+ years' experience of cloud platform services (preferably GCP) MUST Have: Ex -Goole candidates. Responsibilities Design and develop various standard/reusable to ETL Jobs and pipelines. Work with the team in extracting the data from different data sources like Oracle, cloud storage and flat files. Work with database objects including tables, views, indexes, schemas, stored procedures, functions, and triggers. Work with team to troubleshoot and resolve issues in job logic as well as performance. Write ETL validations based on design specifications for unit testing Work with the BAs and the DBAs for requirements gathering, analysis, testing, metrics and project coordination. Requirements Good knowledge and understanding of cloud based ETL framework and tools. Good understanding and working knowledge of batch and streaming data processing. Good understanding of the Data Warehousing architecture. Knowledge of open table and file formats (e.g. delta, hudi, iceberg, avro, parquet, json, csv) Strong analytic skills related to working with unstructured datasets. Excellent numerical and analytical skills. Technical Skills Programming & Languages: JAVA Database Tech: Oracle, Spanner, BigQuery, Cloud Storage Operating Systems: Linux Hands -on experience in building and optimizing data pipelines and data sets. Hands -on experience in migrating integrations from one server to the other Hands on experience in Dev Ops implementation Strong Testing and Debugging Skills - writing unit tests and familiarity with the tools and techniques to fix issues. DevOps knowledge - CI/CD practices and tools. Hands -on CI/CD experience in automating the build, test, and deployment processes to ensure rapid and reliable delivery of API updates. Hands -on experience with data extraction and transformation tasks while taking care of data security, error handling and pipeline performance. Hands -on experience with relational SQL (Oracle, SQL Server or MySQL) and NoSQL databases . Advance SQL experience - creating, debugging Stored Procedures, Functions, Triggers and Object Types in PL/SQL Statements. Hands -on experience with programming languages - Java (mandatory), Go, Python. Hands -on experience in unit testing data pipelines. Experience in using Pentaho Data Integration (Kettle/Spoon) and debugging issues. Experience supporting and working with cross -functional teams in a dynamic environment

About RDC.AI What started in 2016 with five people and two chairs has become a global force transforming how banks lend, grow, and protect their portfolios. RDC.AI helps business and commercial bankers know more, do more, and grow more by turning complex data into actionable intelligence. Our platform uniquely combines predictive and agentic AI to deliver transparent, explainable insights across the entire lending lifecycle from origination to monitoring. With built-in AI assistants and clear rationales for every recommendation, we empower banks across the globe to make confident decisions faster, launch innovative products, and generate tens of millions of dollars in measurable value. We're not just building AI - we're pioneering the future of intelligent banking, where every decision is explainable, every insight is actionable, and every outcome drives real impact. Join the AI Revolution Award-Winning Innovation Winner: The Digital Banker's 2025 Global AI Innovation Awards (Best AI-Powered Platform) Two-time finalist: American Chamber of Commerce Alliance Awards (Advanced Capabilities category) Cutting-Edge Technology Building agentic AI solutions that solve real world banking problems We are live in major banks, making millions of decisions, generating tens of millions in value Highest security accreditations: SOC2 Type 2 and ISO 27001 certified 5-Star Employer Experience Named "Best Companies to Work For" by HRD Australia (2023) High-performance teams working alongside industry-leading data scientists and credit experts Vibrant, innovative culture that celebrates wins and solves complex problems together Global Impact & Growth Fast-expanding presence across Australia, New Zealand, and North America Helping drive financial inclusion through fair, accessible, sustainable credit Opportunity to gain AI expertise and international experience in a rapidly growing market Work-Life Excellence Flexible working arrangements - work how's right for you Collaborative, agile environment where your contributions matter Be part of a mission that's transforming financial services globally RDC.AI North America offers: Competitive benefits package (80% of premiums paid by RDC.ai) 12 paid holidays 20 days PTO per year + 5 paid personal or sick days per year Paid Maternity/Paternity leave Ready to shape the future of intelligent banking? Join us. About the Role RDC.AI is a cloud native AI Decisioning company and the Data Science function is key to our organizational success. As we look to expand in North America, we are looking for a Senior Data Scientist to join our North America team. A Sr Data Scientist will work closely with our customers on developing AI/ML based solutions to solve complex credit-based decisions in the Business and Commercial lending space. Key responsibilities will include: Design, present & document AI-based initiatives to our clients, typically banking and risk executives. Develop use cases for clients with clear objectives and success criteria, matching our AI platform capabilities and client needs. Assist in developing data processing solutions and machine learning models to address the business objectives of our clients using RDC.AI platform. Assist in developing AI/ML based solutions to be deployed on the RDC.AI platform for clients across use cases in Business and Commercial lending within North America Help mentor and train junior data scientists on RDC.AI methodologies, AI/ML best practices and credit risk modelling methodologies in the Business and Commercial lending space. About the Candidate Essential-Experience/Skills Bachelor's degree in in Statistics, Mathematics, Physics, Computer Science, or other Quantitative related degree. 5+ years of data science experience, ideally in credit risk or financial services. Experience developing and managing quantitative credit risk models including credit decisioning models. Programming experience in Python for 3+ years. Programming in SQL for 1+ years. Knowledge of data discovery, statistics, and data-driven model discovery, development, and validation, and tracking. Ability to learn and adapt to new or emerging modeling techniques (e.g., LLM, GenAI, LSTM, etc.) Experience presenting to technical, and non-technical stakeholders, including senior leadership. Excellent communication and client engagement skills. Ability to travel within North America (estimated 25% travel). Desired-Experience/Skills Advanced degree in Statistics, Mathematics, Physics, Computer Science, or other Quantitative related degree. Experience with commercial and/or business lending. Experience working with traditional and non-traditional data sources such as transaction, accounting, and e-commerce data. Understanding the decision-making process behind the lending process. Experience in credit risk analysis, strategy design, and monitoring. Experience with additional programming languages is nice-to-have (e.g., Java, Scala, R, SAS, Perl, etc.)

About Company: At ADP we use the most comprehensive data in the industry to create workplace insights that help inform products, ideas, and decisions every day. For 75 years, ADP has been building a better world of work. Learn why more than 1,000,000 clients rely on ADP and why we're always designing for people. asdfasdf utuyt About the Role: The Administrative Analyst plays a crucial role in enhancing the efficiency and effectiveness of our business operations in California. This position involves analyzing administrative processes, identifying areas for improvement, and implementing solutions that align with organizational goals. The successful candidate will be responsible for gathering and interpreting data to support decision-making and strategic planning. Additionally, the Administrative Analyst will collaborate with various departments to streamline workflows and optimize resource allocation. Ultimately, this role is vital in ensuring that our administrative functions contribute positively to the overall success of the organization. Minimum Qualifications: Bachelor's degree in Business Administration, Public Administration, or a related field. At least 2 years of experience in an administrative or analytical role. Proficiency in data analysis tools and software, such as Excel or similar applications. Preferred Qualifications: Master's degree in a relevant field. Experience with project management methodologies and tools. Familiarity with business intelligence software and data visualization tools. Responsibilities: Conduct thorough analyses of administrative processes and workflows to identify inefficiencies. Prepare detailed reports and presentations to communicate findings and recommendations to management. Collaborate with cross-functional teams to implement process improvements and monitor their effectiveness. Assist in the development and maintenance of administrative policies and procedures. Provide support in project management activities, ensuring timely completion of tasks and adherence to budgets. Skills: The required skills for this position include strong analytical abilities, which are essential for evaluating administrative processes and making data-driven recommendations. Proficiency in data analysis tools will be utilized daily to interpret complex datasets and present findings to stakeholders. Effective communication skills are crucial for collaborating with team members and conveying insights clearly. Additionally, project management skills will help in coordinating initiatives and ensuring that improvements are implemented efficiently. Preferred skills, such as familiarity with business intelligence software, will enhance the candidate's ability to visualize data and support strategic decision-making. 1-2 3-4

The Senior Data Warehouse Engineer will help architect, build, and maintain a robust, scalable, and sustainable business intelligence platform. Surrounded by a diverse group of fun and dedicated individuals, this role will tackle highly scalable systems with complex data models, heterogeneous ETL technologies, and large volumes of internet log and transactional data. This is a highly visible and strategic role as our business decisions are driven by data. As we grow, it will become even more important that we have the right data to make the right decisions. As the Sr. Data Warehouse Engineer, you are responsible for analysis, design, requirements gathering, functional/technical specification, development, deployment, and testing work related to the data warehouse. Essential Responsibilities • Design, develop, and maintain highly scalable ETL & Data Warehousing-related systems that use a variety of technologies to aggregate data from across various external entities and from within the business. • Engineer data warehousing solutions through the use of multiple technologies including: DBMS (Oracle, SQL Server, MySQL), App Dev (Java, Ruby, C++ etc), ETL tools (Informatica, Ab Initio, SSIS), OS (Solaris, HP-UX, Windows, Linux), scripting (Shell, Python, Perl). • Integrate third party data into our enterprise data warehouse. Create and maintain the logical and physical dimensional data model. • Provide data streams from front-end/third-party systems to drive real-time business metrics and decisions • Invest time and effort to constantly learn latest technologies related to BI and big data applications. • Document business requirements, design specifications, and ETL operational manuals. • Join forces with analysts and stakeholders to gather, understand, and develop technical requirements • Recommend standards and methodology for creation, capture, maintenance, and integration of metadata • Provide expertise and leadership on making technical decisions, thus delivering a platform that provides business value and meets end user goals • Be flexible, adaptable, and available for full production support during off-business hours on a regular basis. Qualifications • Bachelor's degree in computer science, engineering, or information systems • 8+ years of experience in data warehousing (including dimensional modeling concepts) business requirements analysis, data-source analysis, data mapping, technical solution design, and database applications development with SQL databases. • 5+ years experience working as a developer in a Data Engineering, Data Warehousing / Business Intellegence team. • Comfortable in both a sole developer role as well as one of the members of a larger development team. • 5+ years of experience in data warehousing including data cleansing, optimization, high-volume (>2 terabytes - min 2 years), and near real-time ETL process design & development • Broad understanding of multiple technologies - including DBMS (Oracle, SQL Server, MySQL), Recent experience in application development (Java, Ruby, C++ etc), ETL tools (Informatica, Ab Initio, SSIS), OS (Solaris, HP-UX, Windows, Linux), scripting (Shell, Python, Perl). • Hands-on with at least 1 Big Data technology such as: Redshift, Hadoop, Candandra, Netezza, Mongo DB, etc. • Experience in integration with third party APIs • Interest in using cutting-edge technologies and modern languages to find new answers to old problems • Ability to learn new paradigms, tools, and processes quickly • Thrives in a fast-paced, rapidly-changing, exciting work environment • Ability to prioritize and work autonomously yet collaboratively when needed • Excellent communication skills and ability to convey ideas accurately and concisely to both technical and non-technical employees • Added advantage, if the candidate is experienced in some the following areas: • Open source data warehousing / business intelligence / ETL / big-data platforms & tools • Modern OLAP concepts and analytic tools, e.g., Tableau, ClikView, etc. • Experience with Amazon Redshift • Experience with emerging technologies such distributed file systems, document stores, and clustered databases (e.g. Hadoop, MapReduce, Greenplum, Vertica, Cassandra) • Data mining • Statistical analysis using R and related tools • Machine learning Required Skills • Ability to design, code, debug, and execute very large database solutions that meet specifications • Ability to gather and document specifications from monitoring business needs • Effective analytic and problem-solving skills to solve production problems very fast • Ability to prioritize and deal with conflicting demands • Strong verbal and written communication skills FYI Skills Requirements Absolute Requirements • Additional InformationAll your information will be kept confidential according to EEO guidelines. Direct Staffing Inc

Our Employees Are Among The Most Talented People In Their Fields And The Key To Our Success At Samsung, we encourage our employees to showcase their talent through our diverse corporate culture. Our strength is our people. Each individual makes an impact to the company and plays a vital role in contributing to the company's success. Our employees are motivated and passionate. We foster innovative thinking through an enthusiastic work environment. Through synergistic collaboration with other brilliant minds, we build some of the most advanced technology. In order to retain our talented workforce, we provide an excellent benefits package. We encourage a healthy work-life balance so that our employees are satisfied and more productive. We focus on developing our employees by providing them with the right tools and empowering them to succeed. Employee development is a key component of the continuing growth of our business. Our employee development programs help to create a workforce that is well-rounded. Job Description We are seeking a senior software architect with at least 8 years of experience in designing scalable, distributed systems to join the Data Analytics Team. This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The architect is expected to be self-driven, take charge in identifying and fixing problems, and excel in a fast changing, growing environment. Qualifications Responsibilities: • Collaborate with business analysts and data scientists in eliciting and articulating solution requirements; • Design scalable data analytics platform and solutions; • Make architectural decisions for the data analytics platform and solutions; • Assess, benchmark and select data analytics technologies to be added to the big data platform; • Support development lead in determining architecturally significant requirements for data analytics solutions; • Design big data platform API; • Provide guidance and mentor developers in the data analytics team; Skills: Required • In-depth knowledge on the Hadoop stack (Map reduce, HDFS, Hive, Pig, Zookeeper); • Experience with Business Intelligence frameworks and ETL tools; • Proficiency in the Java programming language; • Proficiency in the Unified Modeling Language; • Experience with RDBMS and SQL; • Experience architecting systems following the REST architectural style; • Experience with machine learning methods and libraries (e.g. Weka, Mahout, Sci-kit); • Practical experience with the Scala programming language (desirable); • Practical experience with the Play web framework (desirable); • High-level knowledge on the Spark eco-system; • B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required Additional Information Tanya Danylevska HR, part of Talent acqusition team Samsung SDSA [email protected]

Our Employees Are Among The Most Talented People In Their Fields And The Key To Our Success At Samsung, we encourage our employees to showcase their talent through our diverse corporate culture. Our strength is our people. Each individual makes an impact to the company and plays a vital role in contributing to the company's success. Our employees are motivated and passionate. We foster innovative thinking through an enthusiastic work environment. Through synergistic collaboration with other brilliant minds, we build some of the most advanced technology. In order to retain our talented workforce, we provide an excellent benefits package. We encourage a healthy work-life balance so that our employees are satisfied and more productive. We focus on developing our employees by providing them with the right tools and empowering them to succeed. Employee development is a key component of the continuing growth of our business. Our employee development programs help to create a workforce that is well-rounded. Job Description We are seeking a senior software architect with at least 8 years of experience in designing scalable, distributed systems to join the Data Analytics Team. This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The architect is expected to be self-driven, take charge in identifying and fixing problems, and excel in a fast changing, growing environment. Location: San Jose, CA Qualifications Responsibilities: • Collaborate with business analysts and data scientists in eliciting and articulating solution requirements; • Design scalable data analytics platform and solutions; • Make architectural decisions for the data analytics platform and solutions; • Assess, benchmark and select data analytics technologies to be added to the big data platform; • Support development lead in determining architecturally significant requirements for data analytics solutions; • Design big data platform API; • Provide guidance and mentor developers in the data analytics team; Skills: Required • In-depth knowledge on the Hadoop stack (Map reduce, HDFS, Hive, Pig, Zookeeper); • Experience with Business Intelligence frameworks and ETL tools; • Proficiency in the Java programming language; • Proficiency in the Unified Modeling Language; • Experience with RDBMS and SQL; • Experience architecting systems following the REST architectural style; • Experience with machine learning methods and libraries (e.g. Weka, Mahout, Sci-kit); • Practical experience with the Scala programming language (desirable); • Practical experience with the Play web framework (desirable); • High-level knowledge on the Spark eco-system; • B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required Additional Information Tanya Danylevska Human Resources Samsung SDSA