Data science internship jobs in Riverside, CA

The Principal Data Scientist works to establish a comprehensive Data Science Program to advance data-driven decision-making, streamline operations, and fully leverage modern platforms including Databricks, or similar, to meet increasing demand for predictive analytics and AI solutions. The Principal Data Scientist will guide program development, provide training and mentorship to junior members of the team, accelerate adoption of advanced analytics, and build internal capacity through structured mentorship. The Principal Data Scientist will possess exceptional communication abilities, both verbal and written, with a strong customer service mindset and the ability to translate complex concepts into clear, actionable insights; strong analytical and business acumen, including foundational experience with regression, association analysis, outlier detection, and core data analysis principles; working knowledge of database design and organization, with the ability to partner effectively with Data Management and Data Engineering teams; outstanding time management and organizational skills, with demonstrated success managing multiple priorities and deliverables in parallel; a highly collaborative work style, coupled with the ability to operate independently, maintain focus, and drive projects forward with minimal oversight; a meticulous approach to quality, ensuring accuracy, reliability, and consistency in all deliverables; and proven mentorship capabilities, including the ability to guide, coach, and upskill junior data scientists and analysts. 5+ years of professional experience leading data science initiatives, including developing machine learning models, statistical analyses, and end-to-end data science workflows in production environments. 3+ years of experience working with Databricks and similar cloud-based analytics platforms, including notebook development, feature engineering, ML model training, and workflow orchestration. 3+ years of experience applying advanced analytics and predictive modeling (e.g., regression, classification, clustering, forecasting, natural language processing). 2+ years of experience implementing MLOps practices, such as model versioning, CI/CD for ML, MLflow, automated pipelines, and model performance monitoring. 2+ years of experience collaborating with data engineering teams to design data pipelines, optimize data transformations, and implement Lakehouse or data warehouse architectures (e.g., Databricks, Snowflake, SQL-based platforms). 2+ years of experience mentoring or supervising junior data scientists or analysts, including code reviews, training, and structured skill development. 2+ years of experience with Python and SQL programming, using data sources such as SQL Server, Oracle, PostgreSQL, or similar relational databases. 1+ year of experience operationalizing analytics within enterprise governance frameworks, partnering with Data Management, Security, and IT to ensure compliance, reproducibility, and best practices. Education: This classification requires possession of a Master's degree or higher in Data Science, Statistics, Computer Science, or a closely related field. Additional qualifying professional experience may be substituted for the required education on a year-for-year basis. At least one of the following industry-recognized certifications in data science or cloud analytics, such as: • Microsoft Azure Data Scientist Associate (DP-100) • Databricks Certified Data Scientist or Machine Learning Professional • AWS Machine Learning Specialty • Google Professional Data Engineer • or equivalent advanced analytics certifications. The certification is required and may not be substituted with additional experience.

Job Title - Principal Data Scientist- 809 Duration - 12+ months **Only on W2 ** & **California Resident Candidates Only** JOB DETAILS: Skills Required: The Principal Data Scientist works to establish a comprehensive Data Science Program to advance data-driven decision-making, streamline operations, and fully leverage modern platforms including Databricks, or similar, to meet increasing demand for predictive analytics and AI solutions. The Principal Data Scientist will guide program development, provide training and mentorship to junior members of the team, accelerate adoption of advanced analytics, and build internal capacity through structured mentorship. The Principal Data Scientist will possess exceptional communication abilities, both verbal and written, with a strong customer service mindset and the ability to translate complex concepts into clear, actionable insights; strong analytical and business acumen, including foundational experience with regression, association analysis, outlier detection, and core data analysis principles; working knowledge of database design and organization, with the ability to partner effectively with Data Management and Data Engineering teams; outstanding time management and organizational skills, with demonstrated success managing multiple priorities and deliverables in parallel; a highly collaborative work style, coupled with the ability to operate independently, maintain focus, and drive projects forward with minimal oversight; a meticulous approach to quality, ensuring accuracy, reliability, and consistency in all deliverables; and proven mentorship capabilities, including the ability to guide, coach, and upskill junior data scientists and analysts. Experience Preferred Five (5)+ years of professional experience leading data science initiatives, including developing machine learning models, statistical analyses, and end-to-end data science workflows in production environments. Three (3)+ years of experience working with Databricks and similar cloud-based analytics platforms, including notebook development, feature engineering, ML model training, and workflow orchestration. Three (3)+ years of experience applying advanced analytics and predictive modeling (e.g., regression, classification, clustering, forecasting, natural language processing). Two (2)+ years of experience implementing MLOps practices, such as model versioning, CI/CD for ML, MLflow, automated pipelines, and model performance monitoring. Two (2)+ years of experience collaborating with data engineering teams to design data pipelines, optimize data transformations, and implement Lakehouse or data warehouse architectures (e.g., Databricks, Snowflake, SQL-based platforms). Two (2)+ years of experience mentoring or supervising junior data scientists or analysts, including code reviews, training, and structured skill development. Two (2)+ years of experience with Python and SQL programming, using data sources such as SQL Server, Oracle, PostgreSQL, or similar relational databases. One (1)+ year of experience operationalizing analytics within enterprise governance frameworks, partnering with Data Management, Security, and IT to ensure compliance, reproducibility, and best practices. Education Preferred This classification requires possession of a Master's degree or higher in Data Science, Statistics, Computer Science, or a closely related field. Additional qualifying professional experience may be substituted for the required education on a year-for-year basis. At least one of the following industry-recognized certifications in data science or cloud analytics, such as: • Microsoft Azure Data Scientist Associate (DP-100) • Databricks Certified Data Scientist or Machine Learning Professional • AWS Machine Learning Specialty • Google Professional Data Engineer • or equivalent advanced analytics certifications. The certification is required and may not be substituted with additional experience. Additional Information California Resident Candidates Only. This position is HYBRID (2 days onsite, 2 days telework). Interviews will be conducted via Microsoft Teams. The work schedule follows a 4/40 (10-hour days, Monday-Thursday), with the specific shift determined by the program manager. Shifts may range between 7:15 a.m. and 6:00 p.m

Role: Principal Data Scientist Duration: 12+ Months contract The Principal Data Scientist works to establish a comprehensive Data Science Program to advance data-driven decision-making, streamline operations, and fully leverage modern platforms including Databricks, or similar, to meet increasing demand for predictive analytics and AI solutions. The Principal Data Scientist will guide program development, provide training and mentorship to junior members of the team, accelerate adoption of advanced analytics, and build internal capacity through structured mentorship. The Principal Data Scientist will possess exceptional communication abilities, both verbal and written, with a strong customer service mindset and the ability to translate complex concepts into clear, actionable insights; strong analytical and business acumen, including foundational experience with regression, association analysis, outlier detection, and core data analysis principles; working knowledge of database design and organization, with the ability to partner effectively with Data Management and Data Engineering teams; outstanding time management and organizational skills, with demonstrated success managing multiple priorities and deliverables in parallel; a highly collaborative work style, coupled with the ability to operate independently, maintain focus, and drive projects forward with minimal oversight; a meticulous approach to quality, ensuring accuracy, reliability, and consistency in all deliverables; and proven mentorship capabilities, including the ability to guide, coach, and upskill junior data scientists and analysts. Required Experience • Five (5)+ years of professional experience leading data science initiatives, including developing machine learning models, statistical analyses, and end-to-end data science workflows in production environments. • Three (3)+ years of experience working with Databricks and similar cloud-based analytics platforms, including notebook development, feature engineering, ML model training, and workflow orchestration. • Three (3)+ years of experience applying advanced analytics and predictive modeling (e.g., regression, classification, clustering, forecasting, natural language processing). • Two (2)+ years of experience implementing MLOps practices, such as model versioning, CI/CD for ML, MLflow, automated pipelines, and model performance monitoring. • Two (2)+ years of experience collaborating with data engineering teams to design data pipelines, optimize data transformations, and implement Lakehouse or data warehouse architectures (e.g., Databricks, Snowflake, SQL-based platforms). • Two (2)+ years of experience mentoring or supervising junior data scientists or analysts, including code reviews, training, and structured skill development. • Two (2)+ years of experience with Python and SQL programming, using data sources such as SQL Server, Oracle, PostgreSQL, or similar relational databases. • One (1)+ year of experience operationalizing analytics within enterprise governance frameworks, partnering with Data Management, Security, and IT to ensure compliance, reproducibility, and best practices. Education This classification requires possession of a Master's degree or higher in Data Science, Statistics, Computer Science, or a closely related field. Additional qualifying professional experience may be substituted for the required education on a year-for-year basis. At least one of the following industry-recognized certifications in data science or cloud analytics, such as: • Microsoft Azure Data Scientist Associate (DP-100) • Databricks Certified Data Scientist or Machine Learning Professional • AWS Machine Learning Specialty • Google Professional Data Engineer • or equivalent advanced analytics certifications. The certification is required and may not be substituted with additional experience. Additional Information • California Resident Candidates Only. This position is HYBRID (2 days onsite, 2 days telework). Interviews will be conducted via Microsoft Teams. The work schedule follows a 4/40 (10-hour days, Monday-Thursday), with the specific shift determined by the program manager. Shifts may range between 7:15 a.m. and 6:00 p.m.

Join the Pacsun Community: Co-created in Los Angeles, Pacsun inspires the next generation of youth, building community at the intersection of fashion, music, art and sport. Pacsun is a leading lifestyle brand offering an exclusive collection of the most relevant brands and styles such as adidas, Brandy Melville, Essentials Fear of God, our own brands, and many more. Our Pacsun community believes in and understands the importance of using our voice, platform, and resources to inspire and bring about positive development. Through our PacCares program, we are committed to our responsibility in using our platform to drive change and take action on the issues important to our community. Join the Pacsun Community. Learn more here: LinkedIn- Our Community About the Job: This intern position is responsible for supporting Pacsun's ERP Microsoft D365 implementation project, focusing on system integrations, data mapping, and technical documentation. The intern will assist in the mapping exercise for integration development, participate in technical sessions to gather requirements for interfaces to third-party applications, and work closely with the implementation partner, business stakeholders, and the IT team. This role offers a hands-on opportunity to gain experience in project implementation, software development life cycle, and integration technology. A day in the life, what you'll be doing: Assist with the mapping exercise for Mulesoft development, ensuring alignment with project requirements and technical standards. Participate in technical sessions to gather and document requirements for interfaces to third-party applications. Collaborate with the implementation partner, business resources, and IT team to ensure a seamless flow of information and alignment on deliverables. Analyze data flow and mapping requirements to support system integration and project goals. Document and maintain records of project updates, including meeting notes, progress reports, and technical specifications. Work autonomously to complete assigned tasks, providing regular updates to project leadership on progress, challenges, and resolutions. Contribute to testing and validating system integrations and interfaces as part of the ERP project lifecycle. What it takes to Join: Education: Enrolled in a program related to Computer Science, Information Systems, Business Systems, or a related field. Strong understanding of the software development lifecycle (SDLC) and system mapping processes. Excellent organizational and problem-solving skills with attention to detail. Ability to work independently and proactively in a dynamic project environment. Strong written and verbal communication skills to effectively collaborate with diverse teams. Interest in retail business operations. Major in Computer Science, or applicable field of study Ability to work independently Good oral and written communication skills Basic analytical and problem-solving skills Hourly Salary Rate: $20 Physical Requirements: The physical demands described here are representative of those that are required by an associate to successfully perform the essential functions of this job. While performing the duties of this job, the associate is regularly required to talk or hear. The associate is frequently required to sit; stand; walk; use hands to finger, handle or feel; as well as reach with hands and arms. Specific vision abilities required by this job include close vision, distance vision, depth perception and ability to adjust focus. Ability to work in open environment with fluctuating temperatures and standard lighting. Ability to work on computer and mobile phone for multiple hours; with frequent interruptions. Required to travel in elevator or stairwells to attend meetings and engage with associates on multiple floors throughout building. Hotel, Airplane, and Car Travel may be required. Position Type/Expected Hours of Work: This is a part-time position. Commitment to contribute at a minimum of 20 hours a week is required. Work hour flexibility is available without delaying project progress. As a National Retailer, occasional evening and/or weekend work may be required during periods of high volume. This role operates in a professional office environment and routinely uses standard office equipment. Other Considerations: Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the associate for this job. Duties, responsibilities and activities may change at any time with or without notice. Reasonable accommodations may be made to qualified individuals with disabilities to enable them to perform the essential functions of the role.

Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together. Alignment Healthcare is a data and technology driven healthcare company focused partnering with health systems, health plans and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors. We are seeking a mission-driven Data Scientist to join our growing team and support risk adjustment strategy within our Medicare Advantage line of business. This role focuses on enhancing risk score accuracy, CMS audit preparedness (RADV), and building AI-powered tools that improve clinical documentation review and integrity. You'll play a key role in advancing AVA, our proprietary clinical intelligence platform, by developing next-generation models that support autonomous chart review and NLP/GenAI-driven documentation analytics. This is a unique opportunity to work at the intersection of healthcare, compliance, and machine learning-transforming how we ensure both quality and regulatory alignment. Job Duties/Responsibilities: Collaborate with key business leaders to understand their business problems and come up with analytical solutions. Applying coding skills and knowledge data structures to develop projects in partnership with other scientists and engineers in the team Build customer segmentation models to better understand our customers and tailor the clinical outcome and healthcare care experience for them. Build and fine-tune models for both LLMs and OCR-based document understanding, enabling accurate extraction from scanned or low-quality medical charts. Develop scalable model pipelines that integrate NLP, computer vision, and unstructured data, leveraging cloud-based infrastructure (Azure) and containerized environments. Collaborate with engineering teams to version, test, and deploy models using Git, CI/CD pipelines, and virtual machine (VM) environments. Design algorithms to predict audit risk and detect documentation anomalies across cohorts and markets. Partner with Coding, Compliance, CDI, Clinical, and Legal teams to ensure data outputs are aligned with CMS guidance. Help standardize definitions, documentation logic, and reporting workflows to scale enterprise-wide AI-readiness. Help analytical support for CMS Star Ratings strategy, including: Audit sampling methodology validation Chart review error pattern identification Root cause analysis on deletion rates and extrapolation exposure Supervisory Responsibilities: N/A MINIMUM REQUIREMENTS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Minimum Experience: 2+ years of relevant experience in predictive modeling and analysis Education/Licensure: Required: PhD in Computer Science, Engineering, Mathematics, Statistics, or related field, or equivalent experience Other: Excellent communication, analytical and collaborative problem-solving skills Experience in building end to end data science solutions and applying machine learning methods to real world problems with measurable outcomes. Deep understanding and experience with various machine learning algorithms, including deep neural networks, natural language processing and LLMs. Solid data structures & algorithms background. Strong programming skills in one of the following: Python, Java, R, Scala or C++ Demonstrated proficiency in SQL and relational databases. Experience with data visualization and presentation, turning complex analysis into insight. Experience in setting experimental analytics frameworks or strategies for complex scenarios. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development, and evaluation data sets, etc. Experience with manipulating and analyzing complex, high-volume, high-dimensionality and unstructured data from varying sources Preferred Qualifications: Healthcare experience Experience in Big Data processing technologies: Databricks Experience in Azure, AWS or other cloud ecosystems. Experience in NoSQL databases. Published work in academic conferences or industry circles. Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic startup environment Knowledge of CMS Risk Adjustment Data Validation (RADV) audits Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. ESSENTIAL PHYSICAL FUNCTIONS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus. Alignment Healthcare, LLC is proud to practice Equal Employment Opportunity and Affirmative Action. We are looking for diversity in qualified candidates for employment: Minority/Female/Disable/Protected Veteran. If you require any reasonable accommodation under the Americans with Disabilities Act (ADA) in completing the online application, interviewing, completing any pre-employment testing or otherwise participating in the employee selection process, please contact ******************. Pay Range: $149,882.00 - $224,823.00 Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc. Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation. *DISCLAIMER: Please beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal information. Please be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at ******************************* If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health's talent acquisition team, please email ******************.

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.

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

At Relativity Space, we're building rockets to serve today's needs and tomorrow's breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that's just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven't been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you're in propulsion, manufacturing, software, avionics, or a corporate function, you'll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we're writing together. Now is a unique moment in time where it's early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us. About the Team The Additive Technology team operates at the frontier of research and development, where creativity meets capability. This is an R&D-driven environment where problems are open-ended and solutions are yours to define. You'll work alongside welders, robotics engineers, data scientists, and systems engineers at the intersection of hardware and software, creating an end-to-end additive manufacturing platform that serves a wide variety of applications. From exploring new materials to unlocking faster print speeds, to designing complex, organic geometries that can't be built any other way, it's high-impact work that sets the foundation for the future of additive manufacturing. About the Role We are seeking a highly skilled and motivated Data Science Intern to join our dynamic R&D team. You will be responsible for developing and implementing ML models and algorithms that drive advancements in Relativity's Stargate additive manufacturing platform. You will work closely with cross-functional teams such as Simulation, Robotics, and Software to identify and implement ML-based solutions that drive technology development. You will work to understand data from a wide variety of sources in and around the printer and select appropriate model architectures to achieve business goals. You'll be at the cutting edge of large scale additive manufacturing and you'll get to see the solutions you develop implemented in the Stargate platform. Key Responsibilities: Design, implement, and evaluate machine learning models related to large scale additive manufacturing systems. Use a strong theoretical understanding of ML to guide model selection and optimization based on the data on hand and model performance requirements Collaborate with other team members to deploy ML models into production environments. Extract insights from a wide range of data sources such as sensors, cameras, and physical simulations to understand and optimize the interactions between materials, printing processes, and product performance. Communicate effectively with stakeholders About You Actively pursuing a degree in Computer Science, Data Science, Mathematics, Statistics, Physics, Engineering, or a related field Strong programming skills in Python using machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong theoretical understanding of machine learning and statistics Proficiency in statistical analysis, optimization, and data visualization tools. Nice to Haves but Not Required Proficiency with collaborative software development concepts such as git, code review, and CICD Background in the field of Additive Manufacturing Proficiency with databases and SQL At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors. Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here. Hiring Range: $37 - $42 USD We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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

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 ********************

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.

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.

At Kia, we're creating award-winning products and redefining what value means in the automotive industry. It takes a special group of individuals to do what we do, and we do it together. Our culture is fast-paced, collaborative, and innovative. Our people thrive on thinking differently and challenging the status quo. We are creating something special here, a culture of learning and opportunity, where you can help Kia achieve big things and most importantly, feel passionate and connected to your work every day. Kia provides team members with competitive benefits including premium paid medical, dental and vision coverage for you and your dependents, 401(k) plan matching of 100% up to 6% of the salary deferral, and paid time off. Kia also offers company lease and purchase programs, company-wide holiday shutdown, paid volunteer hours, and premium lifestyle amenities at our corporate campus in Irvine, California. Status Exempt General Summary The Data Scientist Manager will play an important role in managing and executing data analysis for Kia North America's regional subsidiaries (KUS/KCA/KaGA/KMX). A future-driven automotive company, Kia has access to vast and diverse datasets and are excited to fill this position with an individual that can derive business improvements and insight from this data. Strong applicants for this role will have statistics, machine learning, and computer science skills to leverage high-performance compute clusters as well as perform reproducible data analysis at scale. With these requirements in mind, our mindset is that data, analytics, automation, and responsible AI can revolutionize our many lines of business. Essential Duties and Responsibilities 1st Priority - 30% Managing Data Science, Data Engineering, and Big Data Platform * Managing small project teams to develop, execute and complete assignments. * Advising 4 direct reports (Data Scientists and Data Engineer) on projects as needed and help resolve issues with project or task completion. Support direct reports' project progress with "client" leadership, by suggesting how to resolve or escalating any issues. Support direct reports with questions related to data analysis. * Organizing team roles and evaluating employee performance. * Improve Big Data Analysis department processes and systems. Documenting operational tasks and reporting to upper-level management. * Develops growth opportunities for direct reports. * Performing employee reviews and assessments and meeting regularly with direct reports. 2nd Priority - 20% Data Wrangling and Analysis * Assess the accuracy of new data sources. * Understand the relationship between the data and the business process. * Preprocess structured and unstructured data. * Analyze large amounts of data to discover trends and patterns. * Build prediction and classification models. * Coordinate with different functional teams for feature engineering 3rd Priority - 20% Assess, Visualize and Improve Analysis * Test and continuously improve the accuracy of statistical and machine learning models. * Present information using Python and/or dashboards. * Simplify and explain complex stats in an intuitive manner. * Continuously monitor and validate production analysis results. 4th Priority - 20% Deploy Analysis Results * Collaborate with IT Team to deploy analysis results. * Build REST APIs for data and analysis result consumption. * Assist the IT system developers to deploy analysis as a service. 5th Priority - 10% Clear Documentation, VCS, and Reproducible Analysis * Use git within Gitlab. * Create conda, venv, etc to isolate project dependencies and requirements. * Track model performance and hyperparameter configurations with mlflow * Track data versioning with dvc Qualifications/Education Education: * Bachelor's degree or equivalent experience in related field of technology required. * Certification(s) in data analysis field is highly desirable. Job Requirement Overall Related Experience: * Experience querying databases and using statistical computer languages (SQL, Python) * Experience with Dask; dask-ml and dask.DataFrames * Experience using statistics, machine learning and deep learning algorithms * Experience visualizing data using visualization tools (Power BI, MicroStrategy, Tableau etc.) Directly Related Experience: * 5+ years of data analysis or related technical experience required * Experience data analysis and engineering projects as a project manager * Prior people management experience preferred * Experience using Hadoop echo system (Hadoop, Hive, Impala and Spark etc.) Specialized Skills and Knowledge Required * Data analysis, engineering, IT project management * Experience using statistical computer languages (Python, SQL etc.) to handle data * Knowledge of a variety of machine learning techniques including deep learning for computer vision and graph neural networks * Knowledge of advanced statistical techniques * Knowledge and experience with NLP (natural language processing) * Social network analysis * Coding knowledge and experience with several languages: Python, SQL, Docker, Javascript/Typescript * Understanding big data analysis techniques: Map/Reduce, Hadoop echo system, Spark etc. * Strong problem-solving skills based on data analysis * Excellent written and verbal communication skills for coordinating across teams. * Leadership skillset Competencies * Care for People * Chase Excellence Every Day * Dare to Push Boundaries * Empower People to Act * Move Further Together Pay Range $105,533 - $146,709 Pay will be based on several variables that are unique to each candidate, including but not limited to, job-related skills, experience, relevant education or training, etc. Equal Employment Opportunities KUS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, ancestry, national origin, sex, including pregnancy and childbirth and related medical conditions, gender, gender identity, gender expression, age, legally protected physical disability or mental disability, legally protected medical condition, marital status, sexual orientation, family care or medical leave status, protected veteran or military status, genetic information or any other characteristic protected by applicable law. KUS complies with applicable law governing non-discrimination in employment in every location in which KUS has offices. The KUS EEO policy applies to all areas of employment, including recruitment, hiring, training, promotion, compensation, benefits, discipline, termination and all other privileges, terms and conditions of employment. Disclaimer: The above information on this job description has been designed to indicate the general nature and level of work performed by employees within this classification and for this position. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

At Panasonic Avionics Corporation, interns play a meaningful role in driving innovation and shaping the future of inflight entertainment. We're excited to welcome motivated, forward-thinking students to join our growing teams for Summer 2026. Our paid internships run 100% on-site from May/June through August/September, and all candidates must be actively enrolled students during the program. Who We Are: Ever wonder who brings the entertainment to your flights? Panasonic Avionics Corporation is #1 in the industry for delivering inflight products such as movies, games, WiFi, and now Bluetooth headphone connectivity! How exciting would it be to be a part of the innovation that goes into creating technology that delights millions of people in an industry that's here to stay! To learn more about internship program visit: ************************************** Responsibilities Project Scope: * Automate Quality Metrics: Design and implement processes to extract, transform, and load (ETL) source data into usable formats, reducing manual reporting effort. * Develop Interactive Dashboards: Build a Power BI dashboard that provides real-time visibility into quality performance and supports business decision-making. * Create AI-Based Tools: Develop an AI-driven interface to assess risks and predict potential quality failures, leveraging machine learning concepts. * Collaborate Across Teams: Work closely with IT to secure data access and integrate enterprise systems, ensuring compliance with security and governance standards. * Deliver Business Impact: Provide solutions that improve operational efficiency, enhance data accuracy, and support continuous improvement initiatives. What you'll gain: This internship offers a unique opportunity for the student to apply classroom knowledge to real-world challenges in data analytics, automation, and AI. The intern will gain hands-on experience working with enterprise systems and MS365 tools to automate quality metrics, develop interactive dashboards in Power BI, and build AI-driven solutions for risk assessment and predictive quality analysis. They will collaborate with IT and business teams, gaining exposure to cross-functional processes and decision-making. This experience provides practical skills in high-demand areas, portfolio-worthy deliverables, and valuable networking opportunities-preparing the student for a successful career in data science, analytics, or technology-driven business roles. The hourly wage range for this position is $25- $43. The final offer amount may vary and is based on the candidates' year in school. The minimum hourly wage for this role will be the greater of the posted range, or minimum wage for the location where the employee will be working, subject to local minimum wage requirements. Qualifications * Data Science / Data Analytics: For expertise in data transformation, visualization, and predictive modeling. * Computer Science: For strong programming skills and familiarity with automation and AI/ML concepts. * Additional Preferred Skills & Tools: * Proficiency in Power BI, Excel, and MS365 tools. * Familiarity with ETL processes and data transformation. * Basic understanding of AI/ML techniques for predictive analytics. * Strong communication and collaboration skills for working with IT and business teams. * Must be able to commute and work on-site 5 days a week. * Must be currently enrolled as a fulltime student at an accredited four-year college or university * Experience with MS Project, Excel and PowerPoint. * Ability to decipher technical documents with experience reading engineering drawings. Excellent communication skills both written and spoken. Applicants must be authorized to work on a full-time basis for any employer in the U.S. We are unable to sponsor or take over sponsorship of any type of employment-based visa at this time. Panasonic is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, and any other characteristic protected by law or company policy. All qualified individuals are required to perform the essential functions of the job with or without reasonable accommodation. Pre-employment drug testing is required for safety sensitive positions or as may otherwise be required by contract or law. Due to the high volume of responses, we will only be able to respond to candidates of interest. All candidates must have valid authorization to work in the U.S. Thank you for your interest in Panasonic Avionics Corporation #LI-VK1 REQ-153358

Do Epic Science TAE is the world's first private fusion energy company, founded in 1998 to commercialize the cleanest, safest, most affordable, and sustainable form of carbon-free power. We are applying science and engineering to design transformational technologies. Whether it's harnessing fusion through the science of stars, making exponential leaps in power efficiency, or innovating medical care with a novel cancer treatment: We're turning the promise of science into reality. We're looking for candidates who are passionate about realizing our mission: A future where all people have affordable access to reliable, abundant, and environmentally friendly fusion-generated electricity. About The Role We are seeking skilled data scientists to join our Data Science team at TAE Technologies. The experimental groups generate large and complex data sets, and only through advanced post-processing and modeling can these data reveal the secrets to the behavior of magnetically confined fusion plasma. By leveraging these insights, we aim to tackle the challenges of fusion energy development and deepen our understanding of plasma behavior. About You Pipeline Development and Maintenance: Help plan, develop, deploy, and maintain the entire Data Science pipeline at TAE, from data acquisition and storage to processing, visualization, and deployment. Data Processing and Knowledge Distillation: Collaborate with scientific staff and domain experts to iterate on prototype algorithms, converting them into robust scientific data processing routines. Software Product Life Cycle Management: Be responsible for all stages of the software product life cycle, including planning, analysis, coding, debugging, testing, deployment, and maintenance. Experimental Operations Support: Serve as a vital part of daily experimental operations by real-time monitoring and processing of data, ensuring experiments proceed smoothly, producing high-quality results. Task Management and Collaboration: Effectively manage multiple tasks independently and in a collaborative environment, ensuring timely and successful completion. Required Skills PhD in physics or related field 3+ years developing in python Experience using common python data analysis and visualization packages such as NumPy, SciPy, Pandas, and Matplotlib Able to work in a diverse R&D environment and communicate effectively and professionally with co-workers at all levels Passion for data integrity as this is central to what we do as a team Like to have: Ph.D. in plasma physics Familiarity with one or more Machine Learning libraries like Scikit-Learn, TensorFlow, and/or Keras Exposure to applying Bayesian statistical inference tools to experimental data Familiarity and comfort using the command line Education Ph.D. in Physics or related field At TAE Technologies, we consider a wide range of factors when making compensation decisions including but not limited to skill sets; experience and job-related knowledge, training; licenses and certifications, and other business and organizational needs. The total compensation package for this position may also include other elements depending on the position offered (non-Sr., Sr., Lead or Manager). The compensation range for these roles are $130,000 - $150,000 About US Imagination, skill, and will We are a diverse team of over 500 engineers, scientists, professionals, Maxwell Prize winners, and big thinkers from more than 40 countries with a track record of delivering on the innovative ways science can lead humanity into a brighter era. We are not afraid to envision a future where fusion and science can transform our world. What you'll get with us * Generous benefits such as Medical, Dental, Vision, 401 (K) with company match, paid vacation + sick time, companywide December holiday, wellness program, parental leave * Payment rewards: For referring talent, novel research, and patents * A collaborative environment: An organization where talents and interests can plug in to different groups throughout the organization Potential for equity participation * HQ in Southern California * Employee events on and off-site * A commitment to upholding and growing an inclusive organization Learn more tae.com Our podcast Good Clean Energy Instagram LinkedIn TAE Technologies 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. We ensure all individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us ****************** to request accommodations or request more information. Note to Agencies: TAE prefers to hire directly and maintains an existing preferred supplier list. We do not accept speculative CVs or referrals from agencies. If speculative CVs are sent, no fee will be applicable.

Experience in executing projects in Agile Framework Understanding of machine learning and deep learning frameworks Understanding of generative models (e.g., GANs, VAEs, Transformers) and natural language processing. Understanding of natural language processing (NLP). Understanding of data preprocessing and model fine-tuning. Awareness of ethical considerations and bias mitigation strategies. Proficiency in programming language Python / C# Strong analytical and problem-solving skills. Base Salary Range: $110,000 - $145,000 per annum TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SV2 #LI-KUMARAN

Details: We are seeking a reliable and detail-oriented Data Coordinator to support operational data collection and camera system monitoring across our Tustin and Corona office locations. This 3-month contract role plays a key part in maintaining accurate driver identification records, coordinating system issues with internal stakeholders, and providing general administrative support. The ideal candidate brings strong communication skills, solid office experience, and the ability to manage routine processes with precision. Details: Key Responsibilities Monitor internal camera systems to support driver identification and verification processes Perform accurate data entry and documentation of driver-related information and activity Coordinate with hiring managers and operations teams regarding camera outages, access issues, and system updates Track, organize, and validate data for internal reporting and compliance needs Provide general office and administrative support as needed Assist with basic analytical tasks related to data collection and quality review Communicate clearly with cross-functional teams to ensure issues are documented and resolved promptly Qualifications Prior office or administrative experience, including data entry or clerical support preferred Strong written and verbal communication skills High attention to detail and ability to manage routine tasks accurately Comfortable working with computer systems, tracking tools, and basic reporting platforms Ability to coordinate effectively with multiple stakeholders Reliable, punctual, and adaptable to working across two office locations Pay: $18-$21/hr

Location: On-site preferred (near Ontario, CA) Duration: 3-6 months (flexible, minimum 20 hours/week) Compensation: $18/hour Eligibility: Junior/Senior undergraduate or graduate student in business analytics, statistics, economics, or related fields Key Responsibilities: Analyze sales, advertising (Amazon DSP/Sponsored Ads), and shipping/returns data Identify performance trends, channel insights, and margin opportunities Prepare dashboards and reports for decision-making Collaborate with cross-functional teams to turn insights into business actions Support pricing, inventory, and logistics optimizations What You'll Gain: Mentorship in applied analytics, operations, and e-commerce Real-world exposure to Amazon, Wayfair, Walmart, and DTC analytics environments Opportunity to propose and test your own hypotheses with measurable business impact 🎁 Additional Perks & Benefits Flexible schedule to accommodate classes and exams Opportunities to attend industry expos or customer site visits Letter of recommendation upon completion Mentorship from experienced professionals in marketing, e-commerce, and analytics For outstanding interns: priority consideration for full-time role H-1B sponsorship available 📝 Application Process Please submit: Resume Short paragraph on why you're interested Optional: Portfolio, past project, or campaign report (for marketing positions)

PIMCO is a global leader in active fixed income. With our launch in 1971 in Newport Beach, California, PIMCO introduced investors to a total return approach to fixed income investing. In the 50+ years since, we have worked relentlessly to help millions of investors pursue their objectives - regardless of shifting marketing conditions. As active investors, our goal is not just to find opportunities, but to create them. To this end, we remain firmly committed to the pursuit of our mission: delivering superior investment returns, solutions, and service to our clients. Since 1971, our people have shaped our organization through a high-performance inclusive culture, in which we celebrate diverse thinking. We invest in our people and strive to imprint our CORE values of Collaboration, Openness, Responsibility and Excellence. We believe each of us is here to help others succeed and this has led to PIMCO being recognized as an innovator, industry thought leader and trusted advisor to our clients. 2026 Summer Internship - Business Development Support Analyst, US Internship positions are located at PIMCO's Newport Beach, CA Headquarters. You're eligible to apply if you: Pursuing an undergraduate degree Must be able to begin full time employment at a PIMCO office between January 2027 - August 2027 Must be enrolled at a university during the Fall 2026 semester (August 2026 - December 2026) Have a minimum 3.2 cumulative collegiate grade point average on a 4.0 scale (or the equivalent) at an accredited 4-year college or university Are business proficient in English See yourself as a Business Development Support Analyst: The Business Development Support group plays an integral part in the initial sales/marketing process for prospective clients, as well as in the servicing of PIMCO's existing clients and investment consultants worldwide. The BDS team utilizes a collaborative team approach and works closely with PIMCO's investment professionals, especially with Product Strategists and Account Managers, to respond to new business proposals across PIMCO's public and private market strategies and provide superior client servicing. Your primary responsibilities will include: Developing a strong understanding of the firm's strategy offerings and overall investment approach; presenting strategy summaries in bi-weekly meetings Researching and analyzing market trends, competitor activities and client needs to provide actionable insights Learning how to access, analyze and report data from the firm's proprietary systems, the BDS team's content library software and other data solutions actively used across the firm to service clients. Assisting with the completion of Requests for Proposals (RFPs) and questionnaires (general and due diligence), and various ad hoc requests to maintain strong client relationships and aid in business growth You'll excel as a Business Development Support Analyst if you: Demonstrate proficiency with Microsoft Office (Outlook, Word, Excel, PowerPoint) Are familiar with financial markets and have a strong interest in learning about fixed income, the asset management industry, and client/consultant relationships Have demonstrated strong analytical and problem-solving skills, which are crucial for data analysis and market research Have excellent time management & organizational skills and ability to flourish in a challenging, fast-paced, professional environment Show commitment to quality and attention to detail; ensure that work is complete, accurate and on time Show strong communication skills and ability to interact professionally with all levels of internal and external personnel in both written and verbal communications Have experience or prior college internships in a financial, client-oriented role and/or demonstrated interest through business, finance, and analytics coursework, as well as relevant professional and student organizations While our eligibility requirements are not flexible, we encourage you to apply even if you do not possess 100% of the desired skills outlined above. The PIMCO Internship Experience: The PIMCO Internship Program runs between Monday, June 8th - Friday, August 14th, 2026, with the expectation that you will be available for the full duration of the program During Week 1, you'll participate in PIMCO Fundamentals Training, providing you with the skills, knowledge, and relationships that will prepare you for success Alongside your colleagues, participate in PIMCO's Global Month of Volunteering, developed to heighten the impact of our employees' worldwide volunteer efforts Join us for a variety of cross-divisional education, networking & social events! Your supervisor, peer mentor, senior leaders and team offer guidance and mentorship throughout the summer You'll receive feedback at mid- and end-of-summer as part of a formal review process to keep you on the path to meeting your summer goals Want to learn more? Hear about The PIMCO Internship Experience from past interns As a PIMCO intern, you'll receive competitive compensation, along with a transition bonus to help with relocation to one of our office locations How you should apply: Applications open in August 2025. We review applications on a rolling basis and encourage you to apply by submitting your resume as soon as you are ready. What to expect during the interview process: After we receive your application, we will conduct an initial review of your resume If you are selected to move forward, you will have the opportunity to showcase your interests, skills, and personality by completing a one-way video interview If you are chosen to proceed after the video interview, you will then take an assessment Once you complete the assessment, you will have a final round of live interviews with us via video conference. These interviews typically include both behavioral and technical questions PIMCO is an equal opportunity employer committed to creating an inclusive, cognitively diverse environment. For more information on PIMCO and Career Opportunities, please visit ****************************** PIMCO follows a total compensation approach when rewarding employees which includes a base salary and a discretionary bonus. Base salary is the fixed component of compensation that is determined by core job responsibilities, relevant experience, internal level, and market factors. The discretionary bonus is used to award performance and therefore is determined by company, business, team, and individual performance. Hourly Rate: $ 37.50 Equal Employment Opportunity and Affirmative Action Statement PIMCO recruits and hires qualified candidates without regard to race, national origin, ancestry, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender (including gender identity and expression), age, military or veteran status, disability (physical or mental), any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other basis such as medical condition, or marital status under applicable laws. Applicants with Disabilities PIMCO is an Equal Employment Opportunity/Affirmative Action employer. We provide reasonable accommodation for qualified individuals with disabilities, including veterans, in job application procedures. If you have any difficulty using our online system due to a disability and you would like to request an accommodation, you may contact us at ************ and leave a message. This is a dedicated line designed exclusively to assist job seekers with disabilities to apply online. Only messages left for this purpose will be considered. A response to your request may take up to two business days.