Data science internship jobs in Oceanside, CA

Title: Data Analyst Full Time role Salary: $80K annually What You will Do: Data Analyst to update/edit/develop A320 Neo EBU Coverage Tracker. Develop teams automated tracker for part allocation prior to MSN delivery. Using Spreadsheets, PowerBI and creating new tools to track shortages from our supplier as well further data analytics for our operating. Improve and develop visuals in PowerBI. Create/Maintain A320 Neo EBU Coverage Report for both internal and external focals. Additionally, duties include data cleanup for error free data sources. Constant monitoring of reporting tools is required to ensure data is accurate. All sourced data must be reviewed prior to determined refresh cycle in PowerBI. Job function include continuous improvement tools, developing work instructions / standard work, and following all regulatory company procedures. Attend daily / weekly schedule / status meetings, or more frequently as deemed appropriate. Treat all documentation as customer proprietary & comply with applicable customer procedures. Revisions to the work scope may be made. Additional engineering support task may be added to the work scope according to business needs at the discretion and approval of the PO owner. Ability to work with others, train up-and-coming engineers, and review their work. Realize opportunities for continuous improvement and find ways to implement solutions. Other administrative and supportive duties as needed. What You Will Bring: This position requires an B.S. degree in the appropriate discipline and 3 years of relevant experience. In the absence of a degree, 5 years of relevant experience is required. Hands-on experience building and publishing customized and interactive dashboards within PowerBI. Microsoft Office 365 is a required skill. Majority of programs utilized include, Excel, Microsoft Teams, and PowerBI. Intermediate level of MS Excel skills, including advanced formulas and data tables. Power Query and SQL logic are required for PowerBI reports. Understanding of basic visuals in PowerBI are needed, as well as ability to create intermediate calculated columns/new measures. Basic understanding of Microsoft Teams is needed for communication efforts with team and to edit source data for all reporting tools. In depth understanding of data collection, data flow management, data manipulation, data archiving and data standards Passionate about solving problems with data and high level of intellectual curiosity. Highly motivated to work on multiple projects in parallel and team player with a startup spirit. Very strong written and oral communication skills, with proven ability to translate complex analysis into actionable insights to a non-technical audience.

📌 Sales & UGC Partnerships Intern (Part-Time, Remote Friendly with Occasional in-Person Meetings, San Diego/Temecula Valley) Bashful Baby is a premium baby clothing brand specializing in soft, sustainable bamboo sleepwear. We're looking for a part-time intern to support wholesale sales pitching and UGC/mom influencer partnerships as we expand into boutique retail. Responsibilities: Research and identify boutique retail leads Conduct outreach via email, phone, and social media Pitch our product line and help secure wholesale orders Maintain CRM logs for leads and follow-ups Identify and manage mom influencers/UGC creators Coordinate partnership deliverables and communication Qualifications: Strong communication & outreach skills Organized, self-motivated, and comfortable pitching Interest in sales, marketing, or children's apparel Social media familiarity (Instagram/TikTok) Details: Part-time (10-15 hrs/week) Remote-friendly with occasional local tasks Commission-Based with Partnership Bonuses To apply, email ***************************** with your resume and a short intro.

We are global private markets specialists delivering tailored investment solutions, advisory services, and impactful, data driven insights to the world's investors. Leveraging the power of our platform and our peerless intelligence across sectors, strategies, and geographies, we help identify the advantages and the answers our clients need to succeed. Position Overview: The Data Analyst will be a member of the Data Engineering team within StepStone's Portfolio Analytics and Reporting (“SPAR”) department. This person will partner with various internal teams and support efforts to define, enforce, and maintain a unified Master Data Management (MDM) process and strategy within a cloud data warehouse environment. This person will implement data quality checks and support creating unified “golden records” from disparate internal and external data sources. The role sits at the intersection of data engineering, data modeling, and private investment domain knowledge, providing exposure to both technical and business processes. Essential Job Functions: Support MDM initiatives in defining, modelling, and maintaining master data entities. Gather, reconcile, clean, standardize, deduplicate, and merge data from internal systems and external databases to create trusted “golden records.” Build records matching/merging logic and rules for mastering data (deterministic, fuzzy matching, conflict resolution). Collaborate with stakeholders to understand domain definitions, business rules, data lineage, and exceptions. Implement data quality checks, validations, and anomaly detection to ensure accuracy and consistency of master data. Create and maintain documentation, definitions, governance rules, and metadata for master data assets. Assist in establishing governance, stewardship, and versioning processes. Integrate master data processes with broader extract, load and transform (ELT) workflows and Snowflake data models. Contribute to automation of mastering data processes. Support other data initiatives such as data engineering, data modeling, and ad-hoc analysis. Qualifications: Bachelor's degree in Computer Science, Information Systems, Economics, Finance, or related quantitative or qualitative field. 1-3 years of experience or relevant coursework in data analysis, data engineering, or MDM-related roles. Strong SQL skills for data profiling, transformation, and reconciliation in Snowflake. Understanding of data mastering, data modeling, ETL/ELT processes, and data integration concepts. Interest in private markets or financial data. Analytical mindset with attention to detail and the ability to manage complex, evolving data. Strong communication skills to collaborate with technical teams and business stakeholders. Other Knowledge, Skills and Abilities: Prior experience in MDM, data governance, or data stewardship is a plus. Experience designing matching/merging logic, fuzzy joins, or reconciliation workflows. Knowledge of Snowflake data governance features (Data Quality Monitoring, Data Security, Data Classification). Experience with commercial MDM platforms or governance tools. Familiarity with metadata management, version control, and data catalog tools. Exposure to financial or investment data domains. Familiarity with Python or similar scripting for automation is a plus. Salary Range: $72,000 - $76,500 The salary range is an estimate of pay for this position. Actual pay may vary depending on job-related factors that can include location, education, skill, and experience. The salary range does not include any benefits or other forms of possible compensation that may be available to employees. #LI-Hybrid At StepStone, we believe that our people are our most important asset and crucial to our success. We are an Equal Opportunity Employer that strives to create an environment that empowers our employees and allows them to be heard, regardless of title or tenure. Our organizational community features multiple Employment Resource Groups as well as mentorship programs to enhance the employee experience for all. As an Equal Opportunity Employer, StepStone does not discriminate on the basis of race, creed, color, religion, sex, national origin, citizenship status, age, disability, marital status, sexual orientation, gender identity, gender expression, genetic information or any other characteristic protected by law. Developing People at StepStone

Ready to work with large-scale data systems that generate invaluable insights for teams that develop Apple's operating systems? The systems required to efficiently build and manage that software produces billions of events per day and provides a unique opportunity to generate invaluable insights. Join an early-stage team that is building a modern analytics platform using an innovative approach to software engineering, ML, and cloud data management! We're seeking an exceptional Data Scientist to transform complex data into timely, valuable insights that influence decisions across Apple's Software Engineering (SWE) organization. In this role, you will join a team that is building an analytics platform and growing an internal community focused on unlocking the power of data. As part of this team, you will create new SQL models in dbt and Snowflake, optimize and extract new data sources using Python, and collaborate with a variety of Apple teams to provide actionable insights in tools like Streamlit and Tableau. We believe that every person brings unique skills and perspectives to the table. Far more than any specific experience or skill set, we are looking for Data Scientists who are driven to build robust and reliable analytics, eager to learn and hone their skills, and enthusiastic about facilitating growth and knowledge sharing among team members. The Data Cloud team is building an analytics platform that creates invaluable insights for Apple's development teams and their leadership. You'll be primarily focused on creating analytical insights and contributing to many aspects of the system including data modeling, data extraction, data visualization, documentation, and other tools. Work closely with teams and leaders to understand their requirements and develop solutions that prioritize usability, accuracy, performance, maintainability, and security. In your role as a Data Scientist you will: * Design and implement complex analytical models using dbt, SQL, and Python * Optimize and create data extraction capabilities and algorithms * Ensure data quality, governance, and security standards * Document and share methodologies and analytical best practices * Partner with engineers and the wider community on platform direction * Design intuitive and interactive data visualizations to communicate analytical results * Lead analytics projects through all phases, including defining investigations, exploring data, conducting analysis, interpreting, and presenting results to teams and leaders Here you'll find that we are committed to excellence in analytics and software development, working alongside a team of highly skilled colleagues who are open to collaboration and knowledge sharing. We offer a relaxed work environment that promotes personal and professional growth. As our team is in the early stages of formation, you will have the opportunity to take the lead on several new initiatives with a large impact across Apple. Skilled at creating intuitive data visualizations in tools like Tableau, Streamlit, and Plotly that simplify complex insights Practical experience with Snowflake Fluency with frameworks like dbt, Pandas, SciPy, and PySpark Track record of executing complex projects efficiently while following software engineering best practices Exceptional communication skills with experience building complex analyses and narratives out of data Bachelor's degree required in Data Science, Physics, Math, Computer Science or other quantitative field 2+ years industry experience in Data Science, ML, or related analytics role Proficiency in Python and SQL

Energy: Forget about blending in. That's not our style. We're the risk-takers, the trailblazers, the game-changers. We're not perfect, and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. But our drive is unrivaled, just like our athletes. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A day in the life: Rev up your career as a Material Master Data Quality Analyst at Monster Energy, where you'll ensure our data roars with integrity, accuracy, and consistency! Dive into the action by identifying, analyzing, and crushing data quality issues, all while developing rock-solid controls. You'll collaborate with cross-functional teams to keep our data standards high and mighty. Your mission? To ensure our product components and processes are fueled by reliable data, driving effective decision-making across the Monster universe. Get ready to unleash your analytical prowess with the unstoppable energy of Monster! The impact you'll make: Perform data profiling and cleansing activities to identify and document data quality issues. Develop metrics and key project indicators (KPIs) to measure the accuracy, completeness, and consistency of material master data; Work with subject matter experts (SMEs) to identify root causes of data inconsistencies. Analyze data quality issues to determine their origins and potential impacts; Create detailed reports outlining findings, recommendations, and implemented solutions. Collaborate with data stewards and other stakeholders to address the root causes and implement corrective actions. Define and implement data quality rules, validation procedures, and quality checks tailored to material master data. Develop profiling reports and ensure adherence to data governance policies, regulatory requirements, and organizational workflows; Maintain comprehensive documentation of data quality rules and processes. Regularly monitor data quality metrics and dashboards to assess data health and identify areas for improvement; Conduct regular audits to ensure material master data meets organizational standards. Work closely with decision-makers to convey the impact of data quality issues and present actionable solutions; Partner with data stewards, SMEs, and other organizational members to resolve data quality problems effectively. Provide training and educational resources to stakeholders to promote data literacy and governance. Collaborate with data analysts, engineers, and architects to ensure that data quality is a key consideration throughout the data lifecycle; Participate in Agile or similar project management workflows to enhance data systems and ensure compliance with data quality standards. Who you are: Prefer a Bachelor's Degree in the field of -- Data Management, Data Analysis, Data Science or related field of study Additional Experience Desired: Between 3-5 years of experience in data analysis, data management or data science Additional Experience Desired: Minimum 1 year of experience in data analysis, data profiling, root cause analysis, and data quality improvement Computer Skills Desired: Microsoft Office, SAP or other database systems, Power BI, SQL, Python Preferred Certifications: N/A Additional Knowledge or Skills to be Successful in this role: N/A Monster Energy provides a competitive total compensation. This position has an estimated annual salary of $71,250 - $95,000. The actual pay may vary depending on your skills, qualifications, experience, and work location.

Introduction The US Chief Data Office (CDO) provides business domains with data, analytics, and essential services to support advanced business analytics capabilities. The primary objective of this role is to develop and maintain ASML's enterprise and business process data foundation within the SAP Hana and data visualization platform (Spotfire), thereby enabling trusted data access for ASML US teams. This position requires effective engagement with business clients and the implementation or enhancement of data integration flows utilizing SAP HANA, SQL, and Tibco Spotfire. Your assignment Contribute to the development and improvement of data integration objects in SAP Hana containers. Design and maintain logical and physical data models in SAP HANA for analytical processing. Assist in ETL processes to extract, transform, and load data from multiple sources into HANA. Build interactive dashboards and visualizations in Spotfire to deliver actionable insights. Participate in all phases of project life cycle starting from requirement gathering to testing to move to prod. Communicate the results both verbally and written. Assist in the documentation of data processes and best practices Actively participate in relevant Scrum and SAFe rituals and take part in continuous journey toward a more agile organization. Interns will typically be required to document and present their findings as well as making an end of summer presentation to the group about what they achieved during their internship. Your profile Graduate student majoring in Computer Science, Data Analytics or Information Systems with a GPA of 3.0 or above. Must be currently in school. Knowledge of database management systems and data visualization tools. Curiosity about data and a passion for finding answers hidden in data sets. Familiarity with Spotfire, Tableau or similar BI tools for visualization. Familiar with data impact analysis, software development practices, and data architecture concepts Experience with Data Analytics, Data Modeling, Data Management techniques and tools Strong attention to detail and troubleshooting skills. Excellent communication and collaboration skills. Eagerness to learn and adapt to new technologies Skills & Competencies Hands on experience with database management systems such as SQL Basic knowledge of SAP HANA architecture, data modeling, and SQL. Proficiency in Python or R for data analysis is a plus Strong analytical and problem-solving skills Excellent communication and teamwork skills Self-motivated and eager to learn about data integration and virtualization technologies Ability to complete assignments with attention to detail and high degree of accuracy Work independently or as part of a team and follow through on assignments with minimal supervision A proactive attitude towards problem-solving and continuous improvement Inclusion and diversity ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company. Need to know more about applying for a job at ASML? Read our frequently asked questions. Request an Accommodation ASML provides reasonable accommodations to applicants for ASML employment and ASML employees with disabilities. An accommodation is a change in work rules, facilities, or conditions which enable an individual with a disability to apply for a job, perform the essential functions of a job, and/or enjoy equal access to the benefits and privileges of employment. If you are in need of an accommodation to complete an application, participate in an interview, or otherwise participate in the employee pre-selection process, please send an email to USHR_Accommodation@asml.com to initiate the company's reasonable accommodation process. Please note: This email address is solely intended to provide a method for applicants to initiate ASML's process to request accommodation(s). Any recruitment questions should be directed to the designated Talent Acquisition member for the position.

Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Department: LET - Lean Enterprise Transformation Reports To: Patrick Sparkman, Solutions Manager Are you looking for an opportunity to help innovate within the energy and manufacturing industry on a team that will challenge and inspire you? As a wholly owned subsidiary of Caterpillar, Solar Turbines is a global leader in providing innovative energy solutions that help business, governments and public institutions find the perfect balance between affordable, available and efficient energy while supporting customers sustainability-related goals. At Solar Turbines, we are dedicated to attracting and retaining the best talent. Join Solar Turbines as a Data Steward Intern and contribute to our mission of delivering high-quality, governed data that powers strategic decisions across the enterprise. This internship offers hands-on experience in data governance, stewardship, and analytics, supporting initiatives that span engineering, service, operations, and digital transformation. As a Data Steward Intern, you will be responsible for: * Support the execution of the strategic data roadmap under guidance from Data Stewards and Delegates. * Assist in profiling, cleansing, and validating master data across domains * Collaborate with business and technical teams to document data definitions, standards, and lineage. * Participate in data quality audits and help resolve issues related to accuracy, consistency, and completeness. * Contribute to the development of metadata repositories and stewardship dashboards. * Engage in cross-functional meetings and working sessions to understand enterprise data needs. Minimum Qualifications: * Currently pursuing a Bachelor's or Master's degree in Information Systems, Data Science, Business Analytics, or related field. * 2.8 GPA or higher on a 4.0 scale. * 0-5 years of relevant experience. * Must be able and willing to relocate to San Diego, CA. Preferred Qualifications: * Experience with data governance tools or frameworks. * Understanding of data lifecycle management and access controls. * Ability to work independently and in team settings. * Knowledge of the energy, oil & gas industry, power generation industry, turbomachinery market, and carbon reduction technologies. * Takes initiative, has a high energy level, and acts with a sense of urgency. * Strong verbal and written presentation abilities to communicate complex strategic topics effectively. * Strong analytical and problem-solving skills, and a good basic financial acumen Intellectual curiosity, global mindset, and passion for continual learning. * Highly organized and able to manage a variety of tasks and multiple projects. * Alignment with Caterpillar's Values in Action: Integrity, Excellence, Teamwork, Commitment, and Sustainability. Summary Pay Range: $22.50 - $39.00 Intern Hour Rate: An intern's hourly rate is based on the major/degree being pursued and the number of completed academic hours achieved before the start of the internship. Intern Benefits: The total rewards package, beyond base salary, may include if eligible: * Accrued Paid Time Off (PTO) * Paid Holidays * Paid Volunteer Day * Housing Stipend * Relocation Assistance * Medical coverage * Voluntary benefits Relocation is available for this position. Visa Sponsorship is not available for this position. This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as, H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S which can be found through our employment website at **************************** Posting Dates: November 5, 2025 - January 29, 2026 Any offer of employment is conditioned upon the successful completion of a drug screen. Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply. Not ready to apply? Join our Talent Community.

Data Science Intern What You Will Do: * Improve forecasting models that relate to vehicle durability issues * Enhance text classification models that categorize customer complaints * Conduct ad hoc data analysis * Collaborate with other departments/internal customers concerning data acquisition and analysis * Perform additional projects and tasks as assigned What You Will Bring to the Role: * Currently pursuing a bachelor's degree in data science, computer science, business analytics, economics, mathematics, statistics, or an engineering-related discipline * Experience working with/performing data analysis and creating forecasting models * Proficiency in SQL * Experience in Python and/or R * Familiarity with BI (business intelligence) tools * Adept in Microsoft programs, such as Excel, PowerPoint, and Word * A strong analytical mindset * Excellent time management, self-management, and organization skills * Good written, oral, and interpersonal skills What Hyundai Can Offer You: * A Global Environment that Fosters Diversity * Competitive Pay * $26 ~ $30/Hour * Flexible Work Hours Other Details: * Candidates applying for positions with Hyundai KIA must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. * HATCI is an Equal Opportunity Employer including Disabled and Veteran. VEVRAA Federal contractor.

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary Internship Term: Summer 2026 This is a bucket application, and is not an official opening. Your application can be considered for Rivian's 2026 internship programs. If you are selected, you will receive communication with specific responsibilities and qualifications for the role you are being considered for. Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between December 2026 and June 2028. If you are not pursuing a degree, please see our full time positions on our Rivian careers site. Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements. Responsibilities Applying to this opening will place you into consideration of Rivian's 2025 Internship programs. Teams your application can be considered for include: Autonomy, Data Science & Analytics Autonomous Driving Machine Learning/AI Engineering Perception Engineering Data Engineering Qualifications Must be currently pursuing a bachelors, masters, or PhD degree Actively pursuing a degree or one closely related in Electrical, Computer Science, Robotics, AI, Machine Learning or similar. Must have experience with one or more of the following languages: Python, SQL, C++, MATLAB, Java, Kotlin. Must have excellent problem-solving skills with a strong ability to troubleshoot and resolve data-related issues Previous experience working within AI frameworks, highly preferred. Previous experience in machine learning research or project work is highly desirable. Strong understanding of machine learning algorithms and experience with frameworks such as Databricks MLflow, TensorFlow or PyTorch. Pay Disclosure Salary Range/Hourly Rate for Internships: The range of pay for internships is 25.00-51.00 per hour. Actual compensation will be determined based on location, and other factors permitted by law. Rivian provides robust wellness benefits, and a medical insurance package for interns, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. Must be currently pursuing a bachelors, masters, or PhD degree Actively pursuing a degree or one closely related in Electrical, Computer Science, Robotics, AI, Machine Learning or similar. Must have experience with one or more of the following languages: Python, SQL, C++, MATLAB, Java, Kotlin. Must have excellent problem-solving skills with a strong ability to troubleshoot and resolve data-related issues Previous experience working within AI frameworks, highly preferred. Previous experience in machine learning research or project work is highly desirable. Strong understanding of machine learning algorithms and experience with frameworks such as Databricks MLflow, TensorFlow or PyTorch. Applying to this opening will place you into consideration of Rivian's 2025 Internship programs. Teams your application can be considered for include: Autonomy, Data Science & Analytics Autonomous Driving Machine Learning/AI Engineering Perception Engineering Data Engineering

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500 . Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description The ServiceNow Security Organization delivers world-class, innovative security solutions to reduce risk and protect the company and our customers. We enable our customers to migrate their most sensitive data and workloads to the cloud, accelerating our business so that we are the most trusted SaaS provider. We create an environment where our employees are proud to work and can make a positive impact. Job Responsibilities: The Data Informatics Analytics Intern will be responsible for conducting ad-hoc analyses, dashboard creation, and predictive analytics for the security organization at ServiceNow. This individual must possess high business acumen as well as a strong understanding of data and analytics to drive impactful business decisions. Responsibilities include but are not limited to: Conduct ad-hoc analyses based on shifting business needs using SQL, Python, R, and/or Excel Regularly present to organization leaders on the insights they uncover Create reporting capabilities using PowerBI Take a proactive approach to analytics to suggest the next best steps based on initial insights Pull/combine various (sometimes disparate) datasets together accurately and efficiently - Provide compelling data visualizations that drive business leaders towards data-driven decisions Qualifications Current enrollment in a full-time Master's program in Computer Science or a related discipline at an accredited university. Graduating December 2026, or later Excellent Power BI experience and skills Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. 1-2 years of analytics, data, engineering, and/or data science experience Strong understanding of relational databases Snowflake experience is a plus Intermediate to Advanced SQL knowledge is a must Python proficiency is preferred Proactive attitude and approach to work Ability to effectively prioritize deliverables with high quality and on-time delivery Excellent verbal and written communications skills, and problem solving, presentation abilities, and strong business acumen For positions in this location, we offer a base pay of $43.04/hr, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

DPR Construction is seeking a Business Intelligence Analyst to support our Self Perform Work entity within DPR. The Self Perform Work (SPW) division of DPR directly hires and manages craft workforces to perform certain scopes of work. These scopes of work include Concrete, Drywall, Electrical, Interiors, Waterproofing, and more. This role will be the primary data analyst, supporting our SPW division. As such, you will be responsible for engaging with stakeholders throughout our SPW group, including front-line field supervisors, craft foreman, project managers, project executives, and corporate leadership. This role is responsible for working closely with cross-functional teams, building relationships, identifying pain points, creating and driving data strategies, and delivering actionable insights. This role is part of the Data Analytics (DA) team and will ensure DPR is moving towards data-driven decisions based on insights derived from integrated business processes, systems, and analytics. Responsibilities Strategic Partnership / Roadmap / Execution / Delivery * Be a collaborative partner with both our direct SPW business partners, as well as the many other parts of the business that SPW touches, to align DA efforts with business objectives and goals * Create, maintain, and execute on the data analytics roadmap for SPW in alignment with overall goals and objectives * Drive conversations with stakeholders to fully understand and document pain points. Drive strategic conversations focusing on successful outcomes and actions they are trying to drive * Develop and maintain relationships with business stakeholders and a deep understanding of their processes, tools, and goals. * Apply your own knowledge of construction management and self-perform work to provide guidance and leadership on the development of data driven insights with our SPW business leaders, and front-line managers. * Be a proactive leader in the development and implementation of solutions to current pain points. Listen to a variety of voices and comments, and develop best-in-class long-term solutions, not just quick fixes. Visualization / Storytelling: * Work with stakeholders to understand and align on business requirements * Create and maintain dashboards and Apps, as required * Deliver actionable insights to improve business processes and drive strategic conversations * Track and monitor usage metrics to understand and measure adoption/impact of analytics * Complete Ad-Hoc Analysis as required Troubleshoot Issues / Failures: * Identify root source of data integrity issues (report, DFL, data warehouse, source system) * Troubleshoot and solution data integrity issues in visualization tool Data Modeling and ETL: * Create complex data models in visualization tools, and make transformations as needed * Query Data Warehouse using SQL to quickly analyze datasets * Clean data, as required * Identify potential new datasets to add to the Data Warehouse * Identify potential new integrations between source systems and the Data Warehouse * Work with Technical Analysts to build requirements for views in DBT and the data warehouse Documentation * Work with Data Engineering in the development and maintenance of the data catalog * Create and maintain documentation of queries, transformations, and refreshes for reports Security / Governance * Follow, implement, and enhance data security and governance guidelines * Create, maintain, and implement security for DFLs * Review requests and grant access to DFLs, Reports, and Apps, as needed * Create and maintain RLS in visualization tool, where needed * Work with business stakeholders to understand and set security requirements, with regards to build access and view access Change Management * Complete impact analysis on reports when changes are made to source systems or tables upstream * Identify, quantify, and communicate impacts to stakeholders and customers Coordination / Collaboration / Prioritization * Identify opportunities for data collaboration and integration between disciplines * Coordinate alignment, as applicable, across other T&I groups * Identify opportunities for AI/ML/Data Science efforts and work with those teams on project delivery * Work with stakeholders to prioritize requests and initiatives based on business impact and resourcing * Participate in Integrated Workgroup meetings to align support functions Training / Data Literacy * Train end-users on how to use and interpret information/insights on deployed dashboards/reports * Train end-users on how to build reports themselves * Provide "on-the-job' training to business stakeholders when needed * Work with Data Engineering and others to develop and maintain tool for Self Service Analytics * Increase data literacy of business stakeholders through targeted trainings and conversations * Identify opportunities to improve data literacy throughout DPR Data SME * Operate as the Subject Matter Expert for the business across data availability, quality, processes, and technology * Maintain understanding of our data pipeline architecture to be able to articulate why we use it and its benefits/limitations for end users * Ensure source of truth system(s) are identified and operational Qualifications * Master's degree in Business Analytics, Data Analytics, Engineering, Architecture, Construction Management or related, plus three (3) years of experience in the application of data to solve problems, or Bachelor's degree in one of the above plus five (5) years of experience. * Experience with the construction industry, including knowledge of industry trends, terminology, and typical processes, is strongly preferred. * Experience with self-perform teams, including running or managing a craft workforce, is strongly preferred. * Experience with construction project controls, including Earned Value Management, productivity management, schedule management, and cost management, is strongly preferred. * Passion for the use of data and business intelligence principles and their ability to optimize business outcomes. * Proven track record of translating business pain points into data requirements and identifying and solving complex problems with data. * Proven analytic skills, including data mining, evaluation, analysis, and visualization. * Ability to create data models and understand dependencies between source systems. * Experience in data visualization/BI tools - Power BI required - including creating and maintaining dataflows. * Experience with consuming APIs from the client side including REST and GraphQL. * Experience with SQL scripting required. * Advanced business acumen and working knowledge of typical company operations, including how business decisions are evaluated, and the ability to apply this understanding to identify opportunities for improved decision making. * Excellent organizational, leadership, interpersonal, communication (written, verbal and visual), and analytical skills are needed. * Demonstrated success in building trusted relationships with internal/external clients and customers. * A drive to do what it takes to get the job done, including taking on different roles and responsibilities and adapting to changing environments. Applicants: In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Salary is just one component of DPR's total compensation package. Pay Ranges based on DPR Office Locations: Phoenix, Tucson-AZ; Atlanta, GA; North Carolina; Greenville, SC; Florida; Nashville, TN, Richmond, VA : $100,332-$143,332 Sacramento, CA; San Diego, CA; Texas; Colorado; Wyoming, New Jersey; Philadelphia, PA: $110,336-$189,198 Seattle, WA; Boston, MA; DMV; SoCal: $120,399-$206,398 Bay Area, CA; Santa Clara, CA; NYC; Fremont, CA: $130,432- $223,598 DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

Job Description The Data Analyst III turns data into insights that inform decisions and drive profit. The Data Analyst identifies opportunities and challenges as well as their solutions across multiple departments, to support critical and strategic decisions of CorVel. This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: Performs advanced data cleaning and analysis including understanding of hypothesis testing (ANOVA, chi-squared etc.) and multivariate modelling techniques Provides strategic and tactical support to the organization by analyzing and interpreting data to relay actionable recommendations at all levels with consideration for growth, cost reduction and optimization of operational performance Analyzes results of collected data using statistical tools and provides ongoing reports Identifies and interprets trends or patterns in complex data sets Transforms data and conducts in-depth root-cause-analyses to provide meaningful insights; consolidates findings into concise visuals, tables, text, etc. Recognizes and resolves data anomalies Works closely with internal customers such as DBAs, Data Scientists, and other business stakeholders to build relationships; continuously gaining a deeper understanding of relevant data and processes to build analytical solutions that meet business needs Works with stakeholders to create BRD with minimal direction Responsible for moving projects through SDLC with minimal direction Produces dynamic, meaningful, clear, and informative reports and/or dashboards to help executive management solve highly complex problems by using standard business intelligence tools and resources as well as following established protocols Participates in report development, specification design, and the facilitation of report testing Presents complex analyses in a succinct and easily understandable format to non-technical and technical stakeholders Conducts preliminary research of new tools/software capabilities for future use Helps guide junior team members Additional duties as assigned KNOWLEDGE & SKILLS: Intermediate proficiency in SQL required with the ability to perform stored procedures, temp tables, sub queries, variables, unions, CTE's, apply operator, while loops, etc. Basic to Intermediate Power BI understanding and proficiency, such as creating data models, creating advanced dashboards with bookmarks, cross filtering, etc. Advanced Excel Reporting: Mastery of Excel functions, including pivot tables, advanced data analysis, and complex formulas Intermediate to advanced proficiency with one or more programming languages required, such as R, STATA, MATLAB, Python, etc. with the ability to utilize the language for data manipulation, statistical analysis, and automation Understanding of Project Management principles and SDLC Understanding of machine learning techniques and predictive modelling Expertise in data cleaning, transformation to prepare data for analysis Ability to understand business objectives and translate data insights into actionable recommendations Presentation skills required; comfortable presenting data findings to both technical and non-technical audiences and explaining dashboards/reporting/findings to management while handling audience questions appropriately Excellent written and verbal communication skills Strong analytical skills with the ability to collect, organize, analyze and disseminate significant amounts of information with attention to detail and accuracy Ability to innovate and think outside the box to find creative solutions and optimize current processes Strong interpersonal, time management and organizational skills Ability to work both independently and within a team environment Understanding of CorVel's services, from both a data perspective and to anticipate reporting needs from internal and external customers EDUCATION & EXPERIENCE: 3-5+ years of experience in data analysis 3 or more years of experience with SQL 1 or more years of experience in Power BI or similar tool (e.g. Tableau) 3+ years of experience with one or more programming languages, such as R, STATA, MATLAB, Python etc. 3+ years of project management experience College degree, preferably in a quantitative field (equivalent experience may be substituted for degree) PAY RANGE: CorVel uses a market based approach to pay and our salary ranges may vary depending on your location. Pay rates are established taking into account the following factors: federal, state, and local minimum wage requirements, the geographic location differential, job-related skills, experience, qualifications, internal employee equity, and market conditions. Our ranges may be modified at any time. For leveled roles (I, II, III, Senior, Lead, etc.) new hires may be slotted into a different level, either up or down, based on assessment during interview process taking into consideration experience, qualifications, and overall fit for the role. The level may impact the salary range and these adjustments would be clarified during the offer process. Pay Range: $90,589 - $140,359 A list of our benefit offerings can be found on our CorVel website: CorVel Careers | Opportunities in Risk Management In general, our opportunities will be posted for up to 1 year from date of posting, or until we have selected candidate(s) to fulfill the opening, whichever comes first. ABOUT CORVEL: CorVel, a certified Great Place to Work Company, is a national provider of industry-leading risk management solutions for the workers' compensation, auto, health and disability management industries. CorVel was founded in 1987 and has been publicly traded on the NASDAQ stock exchange since 1991. Our continual investment in human capital and technology enable us to deliver the most innovative and integrated solutions to our clients. We are a stable and growing company with a strong, supportive culture and plenty of career advancement opportunities. Over 4,000 people working across the United States embrace our core values of Accountability, Commitment, Excellence, Integrity and Teamwork (ACE-IT!). A comprehensive benefits package is available for full-time regular employees and includes Medical (HDHP) w/Pharmacy, Dental, Vision, Long Term Disability, Health Savings Account, Flexible Spending Account Options, Life Insurance, Accident Insurance, Critical Illness Insurance, Pre-paid Legal Insurance, Parking and Transit FSA accounts, 401K, ROTH 401K, and paid time off. CorVel is an Equal Opportunity Employer, drug free workplace, and complies with ADA regulations as applicable. #LI-Remote

We're looking for people who put their innovation to work to advance our success - and their own. Join an organization that ensures a more secure world through connecting and protecting our customers with inventive electrical solutions. We are seeking a highly analytical and detail-oriented Data Analyst - NPI Engineering Programs to support our Systems Protection business. This role will be instrumental in driving data accuracy, visibility, and actionable insights across our New Product Introduction (NPI) programs. The ideal candidate will be responsible for developing and maintaining live dashboards, tracking KPIs, and ensuring data integrity across resource planning tools and analytics platforms. This role will proactively identify and address performance gaps in NPI execution with the opportunity to work hand in hand with teams to understand and improve processes that will positively impact metrics. WHAT YOU WILL EXPERIENCE IN THIS POSITION: 1. KPI Management & Dashboard Development * Gather, validate, and maintain key performance indicators (KPIs) across resource planning tools and analytics platforms * Own the end-to-end process of KPI tracking, from data sourcing to dashboard delivery * Build and maintain real-time dashboards for NPI KPIs * Ensure data accuracy and consistency across systems * Automate reporting to eliminate manual tracking 2. Data Analysis & Strategic Insights * Analyze performance trends and identify risks or opportunities through collaboration with teams * Enable effective resource planning by ensuring data integrity and producing reports that highlight utilization, availability, and forecasted needs. * Conduct root cause analysis when KPIs fall short * Provide actionable insights to NPI teams and leadership to improve program outcomes. 3. Portfolio-Level Reporting * Aggregate KPIs and resourcing data across multiple NPI programs and businesses for strategic visibility. * Identify systemic issues or trends within the matrixed organization 4. Change Management Support * Help teams understand KPIs and what process improvements can be adopted to improve metrics * Create training materials and documentation to ensure consistent usage * Create new KPI tracking methods and dashboard tools. 5. Tool Expertise & Process Improvement * Serve as an expert in Excel and Power BI and capacity planning tools. * Integrate data from Jira, ERP, PLM, and project management tools. * Drive continuous improvement in data collection, capacity planning, reporting, and visualization processes. YOU HAVE: * A Bachelor's degree in Analytics, Computer Science, Engineering, or a related field required * Ideally 3+ years of related experience * Proficient in Power BI, SQL and Snowflake, with expertise in developing complex stored procedures for advanced data transformations * Knowledgeable in Microsoft Office 360 tools, including Sharepoint, Teams, Excel, Word, and Powerpoint Experience with Atlassian Suite (Jira, Confluence) for backlog management, progress tracking and reporting is preferred * Strong analytical skills and the ability to combine data from different sources * Excellent communication and presentation skills, with the ability to explain complex data to non-technical audiences WE HAVE: * A dynamic global reach with diverse operations around the world that will stretch your abilities, provide plentiful career opportunities, and allow you to make an impact every day * nVent is a leading global provider of electrical connection and protection solutions. We believe our inventive electrical solutions enable safer systems and ensure a more secure world. We design, manufacture, market, install and service high performance products and solutions that connect and protect some of the world's most sensitive equipment, buildings and critical processes. We offer a comprehensive range of systems protection and electrical connections solutions across industry-leading brands that are recognized globally for quality, reliability and innovation. * Our principal office is in London and our management office in the United States is in Minneapolis. Our robust portfolio of leading electrical product brands dates back more than 100 years and includes nVent CADDY, ERICO, HOFFMAN, ILSCO, SCHROFF and TRACHTE. Learn more at ************** * Commitment to strengthen communities where our employees live and work * We encourage and support the philanthropic activities of our employees worldwide * Through our nVent in Action matching program, we provide funds to nonprofit and educational organizations where our employees volunteer or donate money * Core values that shape our culture and drive us to deliver the best for our employees and our customers. We're known for being: * Innovative & adaptable * Dedicated to absolute integrity * Focused on the customer first * Respectful and team oriented * Optimistic and energizing * Accountable for performance * Benefits to support the lives of our employees Pay Transparency nVent's pay scale is based on the expected range of base pay for this job and the employee's work location. Employee pay within this range will be based on a combination of factors including knowledge, skills, abilities, experience, education, and performance. Where federal, state, or local minimum wage requirements exist, employee pay will comply. Compensation Range: $76,000.00 - $141,100.00 Depending on the position offered, employee may be eligible for other forms of compensation, such as annual incentives. Benefit Overview At nVent, we value our people and their health and well-being. We provide a broad benefits package with meaningful programs for eligible full-time employees that includes: * Medical, dental, and vision plans along with flexible spending accounts, short-term and long-term disability benefits, critical illness, accident insurance and life insurance. * A 401(k) retirement plan and an employee stock purchase plan - both include a company match. * Other supplemental benefits such as tuition reimbursement, caregiver, personal and parental leave, back-up care services, paid time off including volunteer time, a well-being program, and legal & identity theft protection. At nVent, we connect and protect our customers with inventive electrical solutions. People are our most valuable asset. Inclusion and diversity means that we celebrate and encourage each other's authenticity because we understand that uniqueness sparks growth. #LI-OR1 #LI-Hybrid

Reports To: Director of Operations / COO Employment Type: Full-Time Compensation: $60,000 - $250,000 (Potential Earnings) About the Role We are seeking a highly motivated and entrepreneurial Data Analyst to join our growing team. This individual will play a key role in collecting, analyzing, and interpreting data to help drive smarter decisions and improve business performance. The ideal candidate is a self-starter with strong analytical skills, proficiency in SQL, and the ability to turn complex data into clear insights and actionable recommendations. This role does require relocation to Southern California. We are only hosting in-person interviews in Newport Beach, CA for this position. No virtual interviews. If you are unable to attend an in-person interview you will not be considered for the position. Key Responsibilities Data Analysis & Reporting Develop, maintain, and optimize SQL queries, reports, and dashboards. Gather and interpret data from multiple systems to support operational and strategic initiatives. Identify trends, variances, and performance drivers across key business metrics. Automate recurring reports and streamline data workflows for greater efficiency. Business Insights & Decision Support Partner with leadership and cross-functional teams to deliver meaningful insights that inform business strategy. Support budgeting, forecasting, and performance monitoring through data-driven analysis. Translate complex data findings into actionable recommendations for process or financial improvement. Process & Systems Improvement Help refine data collection methods and ensure accuracy across internal systems. Recommend and implement improvements to reporting processes and business tools. Collaborate with technical and operational teams to enhance data accessibility and usability. Entrepreneurial Impact Take initiative to identify opportunities for improvement and innovation. Approach problem-solving with creativity and ownership. Contribute to building a data-informed culture through curiosity, collaboration, and forward thinking. Qualifications Education: Bachelor's degree in Business, Data Analytics, Finance, Economics, or related field. Technical Skills: Proficiency in SQL (writing and optimizing queries, joins, and stored procedures). Advanced Excel skills; experience with data visualization tools (Power BI, Tableau, Looker, etc.). Solid understanding of data management and general business metrics. Soft Skills: Entrepreneurial mindset - proactive, resourceful, and eager to take ownership. Strong analytical and critical-thinking abilities. Excellent communication and presentation skills. Detail-oriented and able to manage multiple priorities. Preferred Experience building automated reporting solutions or analytical dashboards. Exposure to ETL processes, workflow automation, or scripting languages (Python, R, etc.). Compensation & Benefits Competitive salary commensurate with experience Performance-based bonus opportunities Health, dental, and vision coverage Opportunities for professional growth and advancement

With 30 years at the forefront of fintech innovation, we specialize in SaaS lending solutions that lead the industry. Our core mission is customer-centric, focusing on empowering Credit Unions across the United States with the tools to offer accessible, competitive lending services. We're deeply committed to enhancing the financial ecosystem for a broad network of credit unions, members and auto dealers. We invest in our greatest assets, our employees, and foster a culture of innovation and ownership through freedom and responsibility. We celebrate fiscal accountability, operational rigor and efficiency to create a sustainably healthy and robust business for the long term. About you You are a self-driven, conscientious, fiscally responsible, self-aware, passionate and compassionate professional. You are comfortable with ambiguity, eternally curious, and love problem solving. You operate as an owner and work with a growth mindset. You are extremely productive on your own, and act as a multiplier collaborating with others. You are tireless in questioning the status quo and pursue the best answers to the hardest problems to the benefit of the business. Your focus is strong and capable of context switching and pivoting with the business. In the vacuum of leadership, you assume it. We are seeking an experienced AI/ML Data Scientist to join Origence's AI team and lead the development of cutting-edge artificial intelligence solutions for our lending technology platform. The successful candidate will design and deploy advanced ML models, implement AI-driven automation across our lending processes, and spearhead the integration of generative AI technologies to enhance our digital lending solutions for credit unions and community banks. This role offers the opportunity to work at the forefront of AI in fintech, building production-scale machine learning systems that process millions of lending decisions while exploring emerging AI technologies like large language models and computer vision for document processing. What You ll Be Doing: AI/ML Model Development & Deployment Design, develop, and deploy advanced machine learning models for real-time credit decisioning, and document processing. Build and optimize neural networks for fraud detection, loan default prediction, and customer lifetime value modeling using TensorFlow, PyTorch, or similar frameworks Implement automated machine learning (AutoML) pipelines to streamline model development and hyperparameter optimization Create natural language processing solutions for loan application analysis, customer service automation, and regulatory compliance monitoring AI Infrastructure & MLOps Build and maintain scalable ML infrastructure using cloud platforms (Primarily Azure, but can extend to AWS, GCP) Implement MLOps best practices including model versioning, continuous integration/deployment, and automated monitoring Develop A/B testing frameworks for ML models to measure performance and business impact in production Create automated model retraining pipelines and drift detection systems Generative AI & Emerging Technologies Research and implement generative AI applications for loan document processing, customer communication, and risk assessment reporting Develop retrieval-augmented generation (RAG) systems for intelligent customer support and regulatory compliance assistance Explore large language model fine-tuning for financial domain-specific applications Investigate federated learning approaches for privacy-preserving model training across multiple financial institutions Collaboration & Communication Create data visualizations, dashboards, and reports to communicate findings to product teams, risk management, and executive leadership Collaborate with cross-functional teams including product development, risk management, and engineering to define analytical requirements and KPIs for lending products Present complex financial analyses to diverse stakeholders, translating technical findings into business-actionable insights Experimentation & Optimization Design and conduct A/B tests to optimize loan application processes, approval rates, and customer experience across Origence's digital lending platform Implement statistical testing methodologies to measure the impact of product changes and business initiatives Continuously monitor and improve model performance and accuracy The Ideal Candidate: Education: Master's degree or PhD in Machine Learning, Artificial Intelligence, Computer Science, Statistics, or related technical field Experience: 4+ years of hands-on experience developing and deploying ML models in production environments, preferably in financial services or fintech Proven track record of building end-to-end ML systems from research to production deployment Experience with both supervised and unsupervised learning techniques, deep learning, and reinforcement learning Specialized Skills: Technical Skills Expert-level proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost, LightGBM) Strong experience with cloud ML platforms (Primarily Azure, but can extend to AWS, GCP) Proficiency in MLOps tools and practices (MLflow, CI/CD for ML) Experience with big data technologies (Spark, Kafka, Airflow) and distributed computing Knowledge of SQL, NoSQL databases, and data engineering principles Familiarity with model interpretation techniques (SHAP, LIME) and explainable AI methods AI/ML Specializations Experience with transformer architectures, attention mechanisms, and large language models Knowledge of computer vision techniques for document processing and image analysis Understanding of natural language processing, text mining, and sentiment analysis Familiarity with generative AI models (GANs, VAEs, diffusion models) Experience with time series forecasting and sequential modeling techniques Domain Knowledge Understanding of loan origination principles and lending industry metrics Knowledge of common financial ratios, loan performance indicators, and risk assessment methodologies Awareness of regulatory environment affecting consumer and commercial lending Preferred Qualifications: Advanced AI/ML Experience PhD in Machine Learning, AI, or related field with publications in top-tier conferences (NeurIPS, ICML, ICLR, etc.) 6+ years of experience building production ML systems at scale in fintech, banking, or related regulated industries Experience leading AI research initiatives or managing ML engineering teams Track record of patents or open-source contributions in AI/ML Cutting-Edge AI Technologies Hands-on experience with foundation models, prompt engineering, and LLM fine-tuning (GPT, BERT, T5, etc.) Knowledge of multi-modal AI systems combining text, vision, and structured data Experience with federated learning, differential privacy, and privacy-preserving ML techniques Familiarity with quantum machine learning or neuromorphic computing approaches Understanding of AI ethics, bias detection, and fairness in ML systems Technical Leadership Experience with MLOps at enterprise scale, including model governance and risk management Knowledge of edge AI deployment and model optimization for mobile/embedded systems Background in distributed training, model parallelism, and large-scale inference systems Familiarity with AI accelerators (GPUs, TPUs, specialized AI chips) and performance optimization Why you should apply: Flexible Working Environment Paid Time Off 401k (8% match) College Tuition Benefits/ Tuition Reimbursement Good Benefits options Company Culture! Cultural and Holiday celebrations, Theme days like Star Wars Day & Bring your Kids to Work Day, Monthly Townhalls and Quarterly Company Meetings that ensure awareness, inclusion, and transparency. The starting salary range for this full-time position in Irvine, CA is $147900 - $184900 per year. This base pay will take into consideration internal equity, candidate s geographic region, job-related knowledge and experience among other factors. Origence maintains a highly competitive compensation program. Under company guidelines, this position is eligible for an annual bonus to provide an incentive to achieve targeted goals. Bonuses are awarded at company s discretion on an individual basis. Origence is an equal opportunity employer. All recruitment, hiring, training, compensation, benefits, discipline, and other terms and conditions of employment will be based upon an individuals qualifications regardless of race, religion, color, sex, gender identity, sexual orientation, national origin, ancestry, military service, marital status, pregnancy, age, protected medical condition, genetic information, disability or any other category protected by federal, state or local law.

Data Intelligence, LLC provides advanced technical services and solutions to the Department of Defense (DoD) and other federal agencies. We are seeking a skilled Tactical Data Link (TDL) Analyst to join our team, supporting interoperability development, platform integration, and technical review processes to ensure seamless joint and allied operations. The TDL Analyst will serve as a subject matter expert in TDL interoperability, working closely with engineering teams, platform developers, and DoD stakeholders to develop, evaluate, and enhance Tactical Data Link capabilities. This role requires deep technical knowledge of MIL-STDs, platform message specifications, and interoperability requirements to ensure maximum operational effectiveness across U.S. Navy, Coast Guard, joint, and allied forces. This position is fully on-site in San Diego, CA. Responsibilities: Develop and review Platform Message Implementation Plans (MIPs), Actual Platform Implementation Specifications (APIS), and Platform Implementation Difference Documents (PIDDs). Review, evaluate, and develop Link 16 Interface Change Proposals (ICPs) in accordance with applicable message standards and interface specifications. Provide interoperability subject matter expertise for Platform Requirements Specifications (PRS) and Platform Requirements Difference Documents (PRDD). Assess proposed and approved ICPs to validate compliance with Information Exchange Requirements (IERs) and ensure maximum interoperability. Review technical documentation, prepare technical responses, and provide evaluations of TDL interoperability issues. Support and attend meetings, including: Technical Interface Meetings (TIMs) Certification Integrated Product Team (IPT) Meetings Other recurring meetings related to TDL interoperability Provide USMTF-Configuration Control Board (CCB) support, including meeting package reviews and technical input. Deliver meeting support services, including preparing agendas, capturing minutes, and tracking action items. Required Qualifications: Active Secret Clearance (U.S. Citizenship required) Minimum 5 years of operational experience or extensive technical development support experience Working knowledge of: MIL-STD 6016 series MIL-STD 6040 CJCSI 6610.01 Tactical Data Link Standardization Implementation Plan iSMART Military Handbook (MIL-HDBK-524) Experience with C4ISR information systems Proficiency with Microsoft Office products (Word, Excel, PowerPoint) Ability to travel 1-15% Desired Qualifications: Bachelor's degree in a technical field Military operational experience with TDL systems Data Intelligence, DI is an established small business that has supported the critical missions of our government clients since 2005. We provide full life cycle system development, systems engineering, cybersecurity, and supporting analytical and logistics support to C4ISR and other complex systems. We are an equal opportunity employer that offers competitive salaries, comprehensive benefits, a team-oriented environment, and opportunities for advancement. Our excellent employee retention record reflects our employee focus. We work with Veteran's organization to proactively hire those who have served our country. We offer medical, dental and vision insurance, 401k, PTO and 11 paid holidays. Data Intelligence is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.

Data Analyst (B2B Sales) TP-Link is currently seeking a Data Analyst for our Irvine, CA. location. This position is an onsite role. Headquartered in the United States, TP-Link Systems Inc. is a global provider of reliable networking devices and smart home products, consistently ranked as the world's top provider of Wi-Fi devices. The company is committed to delivering innovative products that enhance people's lives through faster, more reliable connectivity. With a commitment to excellence, TP-Link serves customers in over 170 countries and continues to grow its global footprint. We believe technology changes the world for the better! At TP-Link Systems Inc, we are committed to crafting dependable, high-performance products to connect users worldwide with the wonders of technology. Embracing professionalism, innovation, excellence, and simplicity, we aim to assist our clients in achieving remarkable global performance and enable consumers to enjoy a seamless, effortless lifestyle. What we're looking for: As a B2B Sales Support Assistant at TP-Link, you will assist the B2B sales team with maintaining a proprietary database in order to support the sales processes. You will be responsible for providing information internally through reporting and daily support. Possibilities are open to support internal team's important decisions through feedback provided, overall vision and daily reporting/analysis. What your future looks like * Support the whole team by fulfilling the process and generate reports. Ability to optimize the process and provide basic analysis on reports(a plus) * Involved in team daily details including inventory reports, price and special price, sales reports, marketing funds reports etc. * Communicate and coordinate with other team on internal process such as systems, reports, inventory. * Great platform to learn about the industry and sales strategy with the world leading networking vendor. * New SKU Setup. Manage and update price list for distribution. * Track and report monthly/quarterly Spiff. * Provide support in other areas in order to support the company's success.

Full-time Description WARNING about fake job posting scams. There has been a recent wave of scams whereby third parties post fake job openings using a bogus email address that resembles ****************. Under the guise of asking you to fill out an application, the scammers are attempting to gather your personal information. See the Federal Trade Commission's warning on this topic at: ******************************************* The only official source for actual Biolinq job postings/openings is at ************************ While other job sites (such as LinkedIn, Indeed or Glassdoor) may pull from Biolinq's careers web page, you should visit *********************** to verify the accuracy of the openings found on third party web sites. About the Company Biolinq is a venture-backed digital health company developing a wearable biosensor platform that measures biomarkers important to the management of many clinical conditions including diabetes. This dynamic role is a part of a team of engineers and scientists developing a novel intradermal biosensor technology and the associated software data extraction and rendering SDK that will transform the way people manage their metabolic health. Job Purpose This is a dynamic role as part of a team of engineers and scientists developing a novel intradermal biosensor technology. This highly visible role within the Company will work with a cross-functional team of scientists and engineers and will be responsible for bench and clinical data analysis, algorithm development, and supporting planning, execution, and post clinical study activities. Duties and Responsibilities Algorithm development for Continuous Glucose Monitoring system and other analytes Develop signal processing algorithms for signal noise reduction and fault detection Analysis of data collected during the course of clinical trials to assess performance of Bioling sensors and help with root-cause analyses Implementing statistical analyses of data sets acquired in the clinical setting to assess safety, efficacy, and accuracy Processing large datasets using state of the art methods Assisting with preparation of reports or presentations to fulfil business or regulatory needs Other tasks as assigned Requirements Qualifications Master's degree and 8 years of experience required. PhD degree preferred. Scientific or Engineering discipline required. Minimum of 5 years' experience in signal processing, time series data analysis and algorithm development, preferably in a medical device setting Experience with advanced data analysis tools and methods; demonstrated understanding of statistics and statistical analysis of data Must be capable of supporting projects independently without supervision Experience with advanced computing languages such as Python, R, or Matlab Experience with machine learning and data mining methods Ability to interface with both clinicians and R&D team and work in a fast-paced, multi-disciplinary environment Capacity to manage multiple projects and communicate ideas clearly to the team; excellent written and verbal communication skills Working Conditions General office and laboratory. Physical Requirements While performing the duties of this job, the employee is regularly required to stand; walk; sit; use hands to handle or feel; reach with hands and arms; climb or balance; stoop, kneel, crouch, see, talk or hear in a standard office environment. Employee may occasionally lift/or move up to 15 pounds. BENEFITS Medical, dental, vision, health savings account, flexible spending account, life and long-term disability insurance, 401(k) plan, holidays, and PTO. At Biolinq we fully subscribe to the principles of Equal Employment Opportunity. It is our policy to provide employment, compensation, and other benefits related to employment based on qualifications, without regard to race, color, religion, national origin, age, sex, veteran status, genetic information, disability, or any other basis prohibited by federal, state or local law. In accordance with requirements of the Americans with Disabilities Act and applicable federal, state and/or local laws, it is our policy to provide reasonable accommodation upon request during the application process to applicants in order that they may be given a full and fair opportunity to be considered for employment. As an Equal Opportunity Employer, we intend to comply fully with applicable federal, state and/or local employment laws and the information requested on this application will only be used for purposes consistent with those laws. To the extent required by applicable law, The Company maintains a smoke- free workplace. As part of our efforts to ensure fair and equal pay based on merit, Biolinq supports pay transparency internally and during the recruitment process. The U.S. base salary range reasonably expected to be paid for this role is: $150,000 to $180,000 per year. We may ultimately pay more or less than the posted range. Actual compensation packages are commensurate with experience and based on a variety of factors that are unique to each candidate including, but not limited to: skill set, depth of experience, education, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the U.S. The total compensation package for this position may also include an annual performance bonus and/or other applicable incentive compensation plans. Biolinq also offers a comprehensive package of benefits including paid time off (vacation, holidays, sick time, parental leave), medical/dental/vision insurance, and 401(k) to eligible employees, subject to the terms and conditions of the applicable plans and any written agreement between the parties. Your recruiter can share more about the total compensation package during the hiring process. Please note: The information contained herein is not intended to be an all-inclusive list of duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. The duties and responsibilities in this job description may be subject to change at any time due to reasonable accommodation or other reasons. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Biolinq Talent Acquisition at ******************* Salary Description $150,000-$180,000

EKN Engineering is a fast-growing civil engineering and technology consulting company in Irvine, CA. To hit our growth goals, we are hiring a Data Coordinator to join our outstanding team. At EKN, Data Coordinators are responsible for analyzing data, recordkeeping, database management, and coordination between multiple teams. The ideal candidate will be highly proficient with Microsoft Office, data management, driven, outgoing, and willing to learn. We are looking for an enthusiastic and organized individual to join our Permits and Compliance Department. In this role, you will be responsible for the timely submission of necessary forms and related documents and ensuring compliance with FAA standards and regulations. Job Description Will assist with FAA Obstruction Evaluation processes. Entering data into our permit and compliance systems accurately and efficiently. Ensuring data integrity and accuracy of data records. Monitor data entry processes to ensure quality and accuracy. Maintaining data entry log and tracking systems. Troubleshooting data entry issues and resolving them in a timely manner. Assisting in the development and implementation of procedures and database systems Assisting with other administrative tasks as needed. Ensure Customer data is accurately generated, tracked and delivered in accordance with the Statement of Work (SOW) and/or other customer contractual requirements. Ensure accuracy and completeness of data submission forms and paperwork. Coordinate and communicate data exceptions with team leads and with customer data management counterparts and develop and maintain relationships with vendors and clients. Qualifications Proficiency with the following programs is required: Microsoft Office: Word, Excel, Access and Outlook office. Must be accurate and accountable in completing assigned tasks. Must be detail oriented, organized, and have the ability to multi-task. Ability to work independently and prioritize tasks. Must have excellent communication and writing skills. Excellent communication and problem-solving skills. A working knowledge of permits and compliance regulations is a plus. Experience working with the FAA is a plus. Why Join Us: At EKN Engineering, you'll be part of a company that values innovation and accountability and supports our employees' professional growth and personal development. Here, you'll work with teams that push the boundaries of engineering to create solutions that enhance our communities and the environment by making utilities safer. Benefits & Perks 100% Company-Paid Medical, Dental, Vision, and Life Insurance - Comprehensive coverage to support your health and well-being. 401(k) with Company Match - We invest in your future with a dollar-for-dollar match on contributions. Flexible Spending Account (FSA) - Set aside pre-tax dollars for qualified healthcare and dependent care expenses. Exclusive Employee Discounts - Access our BenefitsHub for savings on travel, rental cars, hotels, theme parks, and more. Monthly Catered Lunches & Daily Office Snacks - Enjoy a well-stocked kitchen and regular team meals to keep you fueled throughout the day. Employee Engagement & Wellness - We value connection and balance. Our team enjoys a variety of events and activities throughout the year, including hiking outings, summer BBQs, sports games, holiday celebrations, and dedicated team-building days. JOYA Health Membership - Access to over $1,000 in annual skin health and wellness benefits, including complimentary facials or peels, aesthetic service credits, priority skin cancer screenings, teledermatology services, and discounts on skincare products. Wellness Perks & Support Programs - Access a variety of wellness resources including discounted gym memberships through One Pass, mental health and self-care tools via AbleTo and Calm, and monthly rewards for healthy activities through Rally. Public Warning: Recruitment Phishing Scam Impersonating EKN Engineering EKN Engineering has become aware of a phishing scheme targeting individuals with fraudulent interview requests and job offers. EKN's secure IT systems and private applicant information have not been compromised; scammers are impersonating EKN employees, using the company name and branding to mislead and engage potential job seekers in fake recruitment processes. Scammers might reference real job openings or describe fake opportunities that generally match individuals' professional backgrounds, with the goal of establishing communication and eventually obtaining private financial information to defraud people. The Federal Bureau of Investigation and Federal Trade Commission warn that employment scams such as this are a growing cyber threat. EKN urges anyone who is contacted about employment opportunities to exercise caution and know that: All communication from EKN Engineering will be from an EKN employee using the @eknengineering.com email domain. We do not use third-party recruiters. EKN Engineering recruiters will only schedule interviews for candidates who have applied for a position through our secure portal. No corporate or IT systems at EKN are affected by this scam. The scammers are using EKN's logo and employee names to impersonate the company. You can directly contact us at ************************** with any questions or concerns. EKN is committed to ensuring the safety and security of our community. We caution individuals to be vigilant in protecting personal data and vetting communication with new contacts from any company. Do not respond or provide any personal information if contacted by someone claiming to represent a company to which you did not submit a job application or profile. This scam can be perpetrated against any business and individuals who recognize and trust its name. For information on EKN recruitment practices and policies, please visit our career page or email ***********************************. To report a scam, visit: *****************************