Data Science Internship Jobs in Rialto, CA

The Operations Data Analyst will be a key member of the operations team and will report directly to the Chief Operating Officer (COO). Acting as a data analyst, reviewing both operations and financial information, this is a unique opportunity to provide comprehensive guidance and support to decision-makers on high impact projects that optimize operational efficiency and effectiveness. Primary responsibility includes compiling, analyzing and communicating data that can be effectively translated to action for Operations leaders. ESSENTIAL FUNCTIONS: To perform this job successfully, an individual must be able to perform each essential function satisfactorily with or without accommodation. The requirements listed below are representative, but not all inclusive, of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job functions. Analyzing revenue and financial information, conducting process reviews, identifying key business drivers, and managing risk and compliance issues. Involvement in areas such as Reporting and Analytics, Strategy and Performance, Financial Performance, Performance Improvement & Benchmarking, Revenue Cycle Efficiency, Accuracy and Growth, and Payment Integrity. Working in a team environment while using independent judgment and critical thinking skills to gather data, frame situations, and provide practical solutions that add value based on organizational needs. Responsibilities will include working with senior executives on business-driven technology initiatives to deliver value across the organization, executing day-to-day operations, building and managing relationships, ensuring exceptional team performance, and producing high-quality, zero-defect deliverables that effectively align with organization priorities. On occasion, visit clinic and retail sites to validate information, review workflows and processes, and provide analysis and recommendations. Work closely on complex assignments across various areas including Reporting and Analytics Strategy, Data and Analytics, and Financial Performance. Collect, categorize, and analyze data from multiple sources with varying structures and degrees of completeness. Develop and reconcile complex reports from multiple data sources to validate accuracy and completeness. Use data analysis tools such as Power BI, Tableau, SQL Server, Superset, Alteryx, MS Access, and Excel to analyze large-scale data and derive insights. Build and maintain dashboards to display key information to high-level business stakeholders. Create and present data analysis and internal team stakeholders. Conduct analyses for large transformational technology projects across data areas such as Infrastructure, Visualization and Insights, Integrity and Governance, and Strategy and Management. Develop a point of view on the impact of respective work to address key business issues. Assess and identify business needs via standard assessment and evaluation techniques. Evaluate and validate analysis to support the development of client scope, timeline, cost, and recommendations. These individuals analyze business needs, develop operational strategies, and offer guidance and support to help operations streamline processes, improve productivity, and drive business performance. Possess a broad understanding of various aspects of operations. Provide comprehensive guidance and support in optimizing operational efficiency and effectiveness. Analyze and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with operations leadership to ensure collective ownership of quality, timelines, and deliverables. Maintains an appropriate professional appearance and demeanor in accordance with Company policies. Keeps commitments and keep direct supervisor informed of work progress, timetables, and issues. Maintains strict compliance with State, Federal and other regulations (e.g., OSHA, WC, HIPAA, ADA, FEHA, DOL, HR policies and practices). Other duties as assigned by management. WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. This is primarily an office classification. Temperature conditions are controlled with limited direct exposure to hazardous physical substances. The noise level in the work environment is usually low to moderate. While performing the duties of this job, the employee is regularly required to sit, stand, walk, keyboard, to finger, handle, or feel, reach with hands and arms, see, talk and hear. The employee will frequently lift and/or carry reports, records and other materials that typically weigh less than 20 pounds. The employee is occasionally required to stoop, kneel, bend, or crouch. Finger dexterity is needed to access, enter, and retrieve data using a computer keyboard, calculator, and other standard office equipment. Requirements QUALIFICATIONS: REQUIRED: Bachelor's degree in finance, Data Analytics or Business Management required. 3-5 years in prior Data Analyst positions DESIRABLE: Prior experience in the healthcare industry. KNOWLEDGE/SKILLS/ABILITIES/TALENTS: Ability to multi-task in a fast-paced environment with fluctuating priorities and deadlines. Strong organizational skills, attention to detail, ability to prioritize and meet deadlines. Analytical skills, working with large amounts of data and drawing conclusions to make recommendations based on data. Ability to clearly communicate orally or in writing findings and recommendations in an easy-to-understand way to colleagues and senior management. Ability to critically assess and evaluate data to recognize trends or anomalies. Accuracy and attention to detail not only in the data evaluated, but also in the models built to avoid any formula/structural mistakes. Detail oriented, organized, process focused, problem solver, self-motivated proactive, customer service focused. Displays independent judgment by willingness to make timely and accurate decisions based on available information that is sometimes vague or limited in nature. Ability to prioritize tasks and projects with limited direction, while understanding and contributing to the success of the organization. Ability to operate effectively in a cross functional team environment. Team player and contributor coupled with excellent communication and interpersonal skills (oral and written). Ability to respond to common inquiries from customers, staff, vendors, or other members of the business community. Must address others professionally and respectfully by actions, words and deeds. Experience working with, and presenting to, senior executives. Excellent communication and presentation skills; be comfortable interacting with executive-level management.

Job Title: Data Analyst, Quality Management Job Summary: The Data Analyst, Quality Management plays a crucial role in managing and supporting all activities related to campaigns like data analytics, reporting, inventory management, and Program management. This position requires a strategic and detail-oriented professional who can effectively coordinate with various stakeholders to ensure the smooth execution of campaigns. The Data Analyst will participate in meetings to gain a comprehensive understanding of issues and concerns and will be responsible for creating detailed quality reports. By analyzing quality concerns and data trends from ports, the role will provide actionable insights to improve vehicle quality. The ideal candidate will have a background in quality assurance within the automotive industry and a commitment to maintaining high standards of quality and compliance. Essential Duties and Responsibilities: Create daily, weekly, and monthly port campaign status reports. Create vehicle inventory status reports as needed. Conduct new Model Year (MY) Port of Entry (POE) audits. Coordinate all port campaigns to minimize impact on vehicle wholesale. Administers budgeting and asset management. Performs inventory control and part distribution. Oversee quality assurance management. Qualifications: Experience in Quality Assurance, Automotive Quality, Automotive Logistics, or related fields. Proficiency in hardware and software, including Microsoft Office (Excel: formula, pivots, power query and power pivot, Word, PowerPoint). Proficiency in Microsoft Visio to draw swim lane process flow charts. Expertise in creating, optimizing and maintaining SQL queries. Knowledge of data analytic tools such as Tableau, PowerBI, or similar. Collect and analyze data to find trends, anomalies, and patterns, and then provide insightful Business Intelligence reports. Photography skills and vehicle evaluation in both static and dynamic conditions. High degree of cross-functional cooperation and coordination. Ability to lead through influence rather than direct authority. Excellent oral and written communication skills. Education and Experience: High School Diploma/GED or an equivalent combination of education and experience. Bachelor's degree preferred. Completion of mandatory training required. Minimum of two years in data analytics and/or quality assurance in the automotive industry preferred.

About the Role & Program The ABC Owned TV (OTV) Station Group is seeking a Data Analytics Intern who will be a critical contributor to the Content Strategy and Analytics (CS&A) team. The CS&A team supports the ABC Owned TV local news stations, specifically digital, for eight key local audiences across the United States and the division content portfolio to address optimization opportunities, providing the data backbone for strategy, content, operations, and product-related decision making across the OTV business unit. Do you have a natural curiosity to understand the ‘why'? Join our team to use data analytics to help form our content strategy! The internship program is designed to provide you with an educational experience that complements your academic studies and the opportunity to learn about what we do. The approximate dates of this internship are June 2025 through early January 2026. What You Will Do Support ad-hoc data retrieval and preparing recurring reports (daily, weekly, and monthly) that are distributed across the group, and this includes Key Performance Indicators (KPI) Reports, Performance Reports, Enterprise-level Dashboards, and ad-hoc analysis Collect, validate, and maintain historical datasets from various third-party sources Maintain technical documentation Solidify validity of insights and explain those findings in a concise manner Monitor industry trends and interpret the potential implications for the business Implement and develop dashboards and reporting Required Qualifications & Skills Ability to parse, analyze and interpret data in spreadsheet form Experience in Microsoft Office suite, including Excel and PowerPoint Experience working in collaborative environments and managing multiple projects High attention to detail and experience in multitasking in a fast-paced environment Preferred Qualifications Experience developing data analysis/financial models or experience using a data visualization tool such as Tableau or Power BI Experience in digital media, and experience on the content-publishing side is preferred Familiarity with communicating to technical and non-technical audiences Education Junior or Senior year preferred Working on a bachelor's degree in Statistics, Economics, Data Analysis, Business Administration, Marketing, Product Management or related field preferred Eligibility Requirements & Internship Information Candidates for this opportunity MUST meet all of the below requirements: Be enrolled in an accredited college/university pursuing a degree taking at least one class at time of application OR currently participating in a Disney College Program or Disney Internship. Current Disney Interns, College, International, or Culinary Program Participants: You may only work for ONE consecutive year (12 months) in any combination of an internship and/or program. Be at least 18 years of age Possess unrestricted work authorization Additional Information Able to have a consistent, reliable work schedule throughout the internship The approximate dates of this internship are June 2025 through early January 2026 Fully available to work 40 hours per week during a Monday through Friday schedule Able to provide own housing for the duration of the internship program in the Glendale, California area Able to provide/have reliable transportation to/from work The pay rate for this role in California is $22.00 per hour. Select benefits may be provided as part of the compensation package, such as medical, financial, and/or other benefits, dependent on the level and position offered. To learn more about our benefits visit: **************************************** Job Posting Segment: Disney Networks Job Posting Primary Business: Disney Networks All Primary Job Posting Category: Production Intern Employment Type: Full time Primary City, State, Region, Postal Code: Glendale, CA, USA Alternate City, State, Region, Postal Code: Date Posted: 2025-03-26

We are looking for a dynamic Data Scientist Intern with a specialized focus on gut health modeling through microbiomics data. In this role, you will be responsible for developing, monitoring, maintaining, and optimizing data models and analysis pipelines that specifically address gut health research. You will leverage your expertise in bioscience, mathematics, and computing to build robust models and execution environments - toward deciphering the complexities of gut microbiota and their influence on human health. This internship offers an exciting opportunity to work on a cutting-edge platform that connects millions of microbiome samples and to directly contribute to advancing our understanding of gut health. Learn more about our Paid Internship here. Essential Duties and Responsibilities: Design, develop, and implement predictive models specifically tailored to capture gut health outcomes from microbiomics data. Analyze gut microbiome datasets to derive actionable insights on gut health and related biological processes. Conduct feature engineering and data preprocessing to enhance model performance on gut microbiome datasets. Train, validate, and fine-tune machine learning models using appropriate performance metrics relevant to gut health research. Collaborate with bioinformaticians and subject matter experts to translate biological insights into robust, data-driven models. Integrate newly developed models into existing analysis pipelines to enable real-time insights into gut health. Document modeling methodologies, code, and experimental results to ensure reproducibility and continuous improvement. Evaluate model performance, troubleshoot issues, and iteratively refine model design to enhance accuracy and reliability. Collaborate with bioinformaticians to troubleshoot and refine pipeline execution failures, ensuring reliable modeling of gut health data. Contribute to the enhancement of existing models and the development of new modeling pipelines that target gut health research. Required Skills and Qualifications: Proficiency in Python and R, with strong experience in data manipulation and model development using libraries such as pandas, NumPy, and scikit-learn. Demonstrated expertise in designing, developing, and validating predictive models, especially within a biological or gut health context. Experience with Linux/Unix operating systems and command line troubleshooting for model deployment and maintenance. Familiarity with version control systems like git/GitHub to ensure collaborative and reproducible model development. Strong analytical skills with a deep understanding of feature engineering, model selection, and performance evaluation. A keen interest in gut health and applying microbiomics data to create robust, data-driven models that capture complex biological phenomena. Preferred Skills: Hands-on experience with advanced machine learning frameworks such as TensorFlow or PyTorch for developing deep learning models. Familiarity with cloud computing platforms (e.g., AWS, GCP, or Azure) for scalable model training and deployment. Experience with containerization technologies like Docker to streamline model integration and delivery. Prior exposure to microbiome research or bioinformatics, particularly with a focus on gut health, to effectively translate biological insights into predictive modeling. Education and Experience: Currently pursuing or recently completed a BS, MS, or PhD in Computer Science, Data Science, Bioinformatics, Computational Biology, or a related field-with coursework or research focused on predictive modeling and machine learning. Relevant coursework should include machine learning, predictive analytics, data modeling, computational statistics, and advanced data analysis, ideally applied to biological or gut microbiomics data. Hands-on experience through internships, research projects, or personal initiatives in developing and deploying predictive models-especially in the context of gut health-is highly desirable. About Us: Since its inception in 1994, Zymo Research has been proudly serving the scientific community by providing innovative, reliable, and high-quality research tools and products. Whether it's DNA, RNA, epigenetics, microbiomics, protein, or yeast-based research, our philosophy remains the same: To provide the highest quality products in the industry while ensuring they are both simple to use and reliable in their performance. Recognized as a Top Workplace by the Orange County Register in 2021, 2022, and named a Top Workplace USA in 2023, Zymo Research continues to be a vibrant community where employees thrive, feel connected, and are inspired by their work. If you are passionate about contributing to scientific advancement and want to be part of an exceptional team in a dynamic, growing company, we'd love to hear from you! Compensation: The estimated base compensation range for this position is $20/hour at the time of posting. Actual compensation details will be provided in writing at the time of offer, if applicable, and is based on several factors we believe fairly and accurately impact compensation, including geographic location, experience, knowledge, skills, abilities, and other job permitted factors. Equal Employment Opportunity Employer: Zymo Research welcomes candidates of all backgrounds. These include sex, age, color, race, religion, marital status, national origin, ancestry, sexual orientation, gender, gender identity, gender expression, physical & mental disability, medical condition, genetic information, military and veteran status, or any other protected status as defined by federal, state, or local law. Location: Onsite - Zymo Research 17171 Murphy Ave. Irvine, CA 92614

About the Role & Program The ABC Owned TV (OTV) Station Group is seeking a Data Analytics Intern who will be a critical contributor to the Content Strategy and Analytics (CS&A) team. The CS&A team supports the ABC Owned TV local news stations, specifically digital, for eight key local audiences across the United States and the division content portfolio to address optimization opportunities, providing the data backbone for strategy, content, operations, and product-related decision making across the OTV business unit. Do you have a natural curiosity to understand the ‘why'? Join our team to use data analytics to help form our content strategy! The internship program is designed to provide you with an educational experience that complements your academic studies and the opportunity to learn about what we do. The approximate dates of this internship are June 2025 through early January 2026. What You Will Do Support ad-hoc data retrieval and preparing recurring reports (daily, weekly, and monthly) that are distributed across the group, and this includes Key Performance Indicators (KPI) Reports, Performance Reports, Enterprise-level Dashboards, and ad-hoc analysis Collect, validate, and maintain historical datasets from various third-party sources Maintain technical documentation Solidify validity of insights and explain those findings in a concise manner Monitor industry trends and interpret the potential implications for the business Implement and develop dashboards and reporting Required Qualifications & Skills Ability to parse, analyze and interpret data in spreadsheet form Experience in Microsoft Office suite, including Excel and PowerPoint Experience working in collaborative environments and managing multiple projects High attention to detail and experience in multitasking in a fast-paced environment Preferred Qualifications Experience developing data analysis/financial models or experience using a data visualization tool such as Tableau or Power BI Experience in digital media, and experience on the content-publishing side is preferred Familiarity with communicating to technical and non-technical audiences Education Junior or Senior year preferred Working on a bachelor's degree in Statistics, Economics, Data Analysis, Business Administration, Marketing, Product Management or related field preferred Eligibility Requirements & Internship Information Candidates for this opportunity MUST meet all of the below requirements: Be enrolled in an accredited college/university pursuing a degree taking at least one class at time of application OR currently participating in a Disney College Program or Disney Internship. Current Disney Interns, College, International, or Culinary Program Participants: You may only work for ONE consecutive year (12 months) in any combination of an internship and/or program. Be at least 18 years of age Possess unrestricted work authorization Additional Information Able to have a consistent, reliable work schedule throughout the internship The approximate dates of this internship are June 2025 through early January 2026 Fully available to work 40 hours per week during a Monday through Friday schedule Able to provide own housing for the duration of the internship program in the Glendale, California area Able to provide/have reliable transportation to/from work The pay rate for this role in California is $22.00 per hour. Select benefits may be provided as part of the compensation package, such as medical, financial, and/or other benefits, dependent on the level and position offered. To learn more about our benefits visit: **************************************** Job Posting Segment: Disney Networks Job Posting Primary Business: Disney Networks All Primary Job Posting Category: Production Intern Employment Type: Full time Primary City, State, Region, Postal Code: Glendale, CA, USA Alternate City, State, Region, Postal Code: Date Posted: 2025-03-26

As an integral part of the Advancement Systems Team, the Advancement Data Analyst will have primary responsibility for supporting the data and reporting needs of an assigned portfolio of business units within University Advancement and certain other units across the University as they work to enhance constituent engagement and philanthropy at Chapman. The Advancement Data Analyst will elicit, document, and analyze requirements around business needs to produce effective solutions. Guide solution implementations working closely with both stakeholders and other Systems team and IT resources to ensure a successful roll out. Assist in the maintenance and prioritization of the Systems team queue of support requests. Collaborate with other members of the Systems team to organize end user trainings, prepare requirements for major projects, and document workflows and best practices for all users. Participate in and support overall system upgrade, enhancement, and data integrity projects undertaken by Systems team. Responsibilities Work directly with stakeholders in assigned portfolio of business units to build strong working relationships by understanding needs and delivering key reports, dashboards, and other data insights aligned with strategic goals and initiatives Translate stakeholder business requirements to technical requirements Create detailed test cases and documentation for enhancements and new development Collaborate with stakeholders to define and execute customer acceptance testing Review and approve related training materials and documentation Assist with facilitating stakeholder training Work collaboratively with Systems team, IS&T, and others to identify and deliver overall system fixes and enhancements Support periodic system upgrades Support integration with and ongoing use/maintenance of external data systems, tools, and data sources Maintain data integrity through systematic auditing and data clean up projects Required Qualifications Bachelor's degree or equivalent education and experience in a related field A minimum of two to four years' experience in independently assisting functional users with data analysis and reporting needs, as well as with troubleshooting system incident reports and developing system enhancement requests Strong working knowledge of data structures and prior experience with a relational database and/or reporting system Excellent technology skills with aptitude to learn and effectively use a variety of software tools at a “power user” level Excellent verbal and written communication skills with emphasis on clear and effective customer interactions Ability to work effectively independently and as a member of a team and thrive in a creative, fast-paced environment Impeccable attention to detail, accuracy, and quality of work Strong analytical skills with proven ability to analyze and prioritize requests, comply with data standards and policies, and form valid conclusions Strong organizational skills and the ability to manage large volumes of data in an accurate and meaningful way Demonstrated ability to manage multiple projects and priorities, to respond effectively to change, and to manage demanding work situations and deadlines Possess personal integrity and the ability to appropriately handle confidential and sensitive information

Title\: Quality Data Analyst Department\: Quality Assurance Status\: Full-time Shift\: Day Pay Range*\: $39.89/hour - $57.83/hour MemorialCare is a nonprofit integrated health system that includes four leading hospitals, award-winning medical groups - consisting of over 200 sites of care, and more than 2,000 physicians throughout Orange and Los Angeles Counties. We are committed to increasing access to patient-centric, affordable, and high-quality healthcare; your personal contributions are integral to MemorialCare's recognition as a market leader and innovator in value-based and other care models. Across our family of medical centers, we support each one of our bright, talented employees in reaching the highest levels of professional development, contribution, collaboration, and accountability. Whatever your role and whatever expertise you bring, we are dedicated to helping you achieve your full potential in an environment of respect, innovation, and teamwork. Position Summary This position requires the full understanding and active participation in fulfilling the mission of MemorialCare Saddleback Medical Center. It is expected that the employee demonstrates behavior consistent with our core values\: Integrity, Accountability, Best Practices, Compassion and Synergy. The employee shall support Saddleback Medical Centers' strategic plan and participate in performance improvement and patient safety activities. The Quality Data Analyst position performs data analyses and interprets results using a variety of techniques to support the Quality Assurance and Patient Relations departments, and performance improvement initiatives. Under the direction of the department leadership, this position is responsible for creating and developing advanced data reports. This position is responsible for managing data collection systems and strategies to optimize data analyses for efficiency and quality. This includes meeting preparation and preparing the data sets in an understandable format for the target audiences and maintaining internal dashboards. Key responsibilities include identifying, analyzing and interpreting data trends or patterns; acquiring data from internal and external data sources and maintaining the efficiency of the databases; collaborating with hospital leaders on data requests for performance improvement initiatives; and maintaining regulatory compliance (ie\: The Joint Commission, CMS, HCAHPS). Essential Functions and Responsibilities of the Job Produces advanced reports and presentations on quality metrics, conducts drill-down analysis, and generates data reports for management Demonstrates advanced competency in data entry, collection, abstraction, aggregation, analysis. and transparent communication. Manages ongoing data analysis and applications to trend overall service line data outcomes, investigate overall system issues, and provides necessary information and resolution. Coordinates with management to determine the best approach for completing tasks, the appropriate applications to use, and ensures that deliverables are completed on time and meet expectations. Works collaboratively with report requestors, providing guidance to define requirements and validate results. Demonstrates advanced computer literacy skills with programs such as Word, Excel, PowerPoint, Teams, Adobe Acrobat, Publisher, Visio, Tableau, Vizient, and Epic. Supports implementation of initiatives to improve patient/customer satisfaction. Collaborates with multiple disciplines to seek resolution to system related problems relating to patient/customer satisfaction. Aligns all performance improvement initiatives to the strategic plan. Continually updates skills and knowledge; and serves as the subject matter expert of data applications. Supports the patient safety and regulatory requirements. Demonstrates ability to track, manage, organize, and prioritize projects. Attends department or job-related meetings, presentations and educational events as needed. Ability to exercise discretion judgement in the handling of confidential and /or sensitive information. Ability to be at work and be on time Ability to follow company policies, procedures and directives Ability to interact in a positive and constructive manner Ability to prioritize and multitask *Placement in the pay range is based on multiple factors including, but not limited to, relevant years of experience and qualifications. In addition to base pay, there may be additional compensation available for this role, including but not limited to, shift differentials, extra shift incentives, and bonus opportunities. Health and wellness is our passion at MemorialCare-that includes taking good care of employees and their dependents. We offer high quality health insurance plan options, so you can select the best choice for your family. And there's more...Check out our MemorialCare Benefits for more information about our Benefits and Rewards. Qualifications/Work Experience Minimum 3 years of experience in healthcare settings using electronic software systems preferred or cumulative relevant experience Advanced computer skills in Microsoft Office Suite: Word, Excel, PowerPoint, Publisher, Visio, Sharepoint, and Outlook Experience in using Tableau Software and interactive dashboard design required Previous experience working with databases, large data sets, multiple data sources and interpreting complex data to create meaningful information Strong understanding of data analysis concepts and report design principles Familiarity with business intelligence (BI) concepts preferred Strong analytical, problem-solving and metadata skills Excellent critical thinking skills, and strong verbal and writing skills. Exceptional time management skills with ability to meet tight deadlines Ability to prioritize, organize work and handle multiple tasks simultaneously. Project management skills Education Bachelor's degree in a health-related field, business, finance, statistics, mathematics, data science, economics or marketing required Master's degree in related field highly desired; or equivalent work experience Familiarity with medical terminology

At Smith Micro, we specialize in crafting software that streamlines and enhances the mobile experience, offering solutions to prominent wireless service providers and cable MSOs worldwide. Our cutting-edge developments enhance today's interconnected lifestyles while pioneering fresh approaches to engage consumers via smartphones and consumer IoT devices. Among our flagship products are SafePath, a connected life platform seamlessly integrating individuals with the digital facets of their daily routines, whether at home or on the go; CommSuite, a voice services platform enhancing voice messaging with intelligence and additional functionalities; and ViewSpot, a digital retail platform enhancing in-store devices with captivating experiences. If you are seeking to excel in a dynamic environment where your skills can genuinely make a difference, we need to connect! May 2025 - August 2025 (12 weeks) Onsite: 30 hours/week in the office Smith Micro develops software to simplify and enhance the mobile experience, providing solutions to leading wireless service providers and cable MSOs around the world. Our solutions enrich today's connected lifestyles while creating new opportunities to engage consumers via smartphones and consumer IoT devices. This is a hybrid internship position set to begin in late May or June, lasting for 12 weeks. Summer interns will work 30-40 hours per week, with 4 days in the office. As an AI & Data Science Intern, you will enhance your educational experience through practical, on-the-job learning, assignments, and project completion. You will gain exposure to data analysis techniques, machine learning models, and the application of AI and data science in real-world scenarios. What you will do:Evaluate data sets of information to provide business insights.Gain exposure to machine learning and LLM foundational models. Collaborate with the product team to understand customer needs and devise solutions.Gather and analyze information, formulate, and test hypotheses, and develop and communicate recommendations.Explore new statistical methodologies as needed for specific analysis.Contribute to development efforts through appropriate database use and project design.Gain exposure to deploying applications and scaling solutions using AWS (Amazon Web Services) Stay updated with the latest technology trends and data science advancements. Required Education and Experience:Located within 20 miles of the office with reliable transportation to work in-office four (4) days weekly.Currently enrolled as a 3rd or 4th-year student in Computer Science, Statistics, Applied Math or related field.Initiative, perseverance and seeking experience in AI, data processing, data programming, and data analytics.Ability to learn prompt engineering and current methods in data transformation, data modeling, and data architecture skills.Ability to break down and solve problems through quantitative thinking and analysis.Programming familiarity/coursework in GO or Python.An understanding of math skills (linear algebra, Bayesian statistics group theory).Strong written and verbal communications. Desirable Skills and Qualities:A collaborative mindset with a passion for learning and contributing to team success.Strong attention to detail and a commitment to maintaining accuracy in all tasks.Familiarity with data science tools and platforms, such as AWS, Bedrock, TensorFlow, is a plus.Interest in leveraging AI and machine learning techniques to solve complex business problems. Why Smith Micro? At Smith Micro, we believe in investing in our people. As an intern, you'll have the opportunity to: - Learn from experienced professionals through structured mentoring and hands-on experience - Build valuable skills in data analysis, machine learning, and AWS deployment. - Gain exposure to real-world AI and data science applications within a tech-driven company. - Grow your professional network and potentially open doors for future opportunities within the company. We're looking for motivated individuals who thrive in dynamic environments, and those who are eager to contribute to a team dedicated to innovation and excellence. If you're ready to bring your skills and enthusiasm to a leading technology company, apply today! Our USA openings offer competitive pay, paid time off and holidays, and a comprehensive benefits package that includes premium medical coverage, well-being programs, an employee stock purchase program (ESPP), a 401(k) plan with company match, and more. And our Global locations each participates based on country benefit requirements and this will be discussed during the interview process. Smith Micro is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Smith Micro is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation in the US, contact Human Resources department, ***************** or call ************.

The Data Analyst is responsible for acting as an advanced professional in the systems and process design and implementation space, focusing on low, medium, and high effort software implementation projects. The Analyst will solicit, understands, and documents the customer's business requirements, processes, and workflows developing both written and visual depictions of requirements and process flows. The Data Analyst works with developers to create the functional specifications that meet those requirements, serves as subject matter expert (SME) to the Developers building those functions, and works with the QA team to test the developed functionality. The BSA will recommend and institute business analysis best practices, tools, and methodology towards standardization of deliverables and procedures, and collaborates with Developers and QA Leads to uphold and improve SDLC processes. The Data Analyst will be onsite 2 days per week in Plano, TX or Irvine, CA. Responsibilities * Collaborates with stakeholders to gather and analyze business requirements, translating them into technical specifications for data engineering projects. * Performs complex data analysis and creates insightful visualizations to uncover actionable insights that support operational and strategic decision-making. * Models, cleans, and categorizes data sets for effective use in analytics applications. * Identifies data-related issues, assess their severity, and evaluate their business impact to inform data quality improvement initiatives. * Implements corrective measures for inaccurate data values and other issues, while addressing their underlying causes. * Develops data quality guidelines and best practices for end users to reduce the likelihood of future issues. * Develops and maintains documentation for data flows, data dictionaries, and business processes. * Ensures data quality, consistency, and compliance with data governance policies. * Assists in the evaluation and implementation of new data technologies and tools. * Performs other duties and projects as assigned. Requirements: * Demonstrates knowledge of, adherence to, monitoring and responsibility for compliance with state and federal regulations and laws as they pertain to this position. * Demonstrates team leadership and staff development skills. * Demonstrates understanding of business analysis principles, processes, and techniques. * Ability to create use cases, functional, and technical requirements. * Familiarity with data lakehouse concepts and technologies (e.g., Delta Lake, Snowflake). * Knowledge of big data processing frameworks (e.g., Apache Spark, Apache Dataflow). * Preferred knowledge of machine learning concepts and their applications in business. * Preferred familiarity with data streaming technologies (e.g., Dataflow Streaming, Amazon Kinesis) * Strong consultative and advisory skills. * Strong understanding of data warehousing concepts and dimensional modeling. * Intermediate skills in computer terminal and personal computer operation; Microsoft Office applications including but not limited to: Word, Excel, PowerPoint and Outlook. * Excellent communication skills and ability to translate complex technical concepts to non-technical stakeholders * Effective organizational and time management skills. * Ability to make decisions that have moderate impact on the immediate work unit and cross functional departments. * Ability to organize and prioritize work schedules on a short-term and long-term basis. * Ability to provide consultation and expert advice to management. * Ability to make informal and formal presentations, inside and outside the organization; speaking before assigned team or other groups as needed. * Ability to deal with complex difficult problems involving multiple facets and variables in non-standardized situations. * Ability to work with little to no supervision while performing duties. Technical Skills Required * Bachelor's degree in Computer Science, Information Systems, or a related field. * Minimum of five (5) + years of experience in business systems analysis or data analysis roles. * Proficiency in SQL and experience with at least one programming language (e.g., Python, R, or Scala). * Experience with cloud platforms (AWS, Azure, or GCP) and their data services. * Experience with data visualization tools (e.g., Tableau, Power BI, or Looker). * Proven experience in data quality management and improvement initiatives. * Preferred certifications in cloud platforms (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate). * Preferred experience with data governance and data quality tools. * Preferred experience with version control systems (e.g., Git) and CI/CD pipelines. * The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. * They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of employees assigned to this job. Why work for #teamloan Depot: * Compensation package based on experience and skill set. * An inclusive, diverse, and collaborative culture where people from all backgrounds can thrive. * Work with other passionate, purposeful, and customer-centric people. * Extensive internal growth and professional development opportunities including tuition reimbursement. * Comprehensive benefits package including Medical/Dental/Vision. * Wellness program to support both mental and physical health. * Generous paid time off for both exempt and non-exempt positions. About loan Depot: loan Depot (NYSE: LDI) is a digital commerce company committed to serving its customers throughout the home ownership journey. Since its launch in 2010, loan Depot has revolutionized the mortgage industry with a digital-first approach that makes it easier, faster, and less stressful to purchase or refinance a home. Today, as the nation's second largest non-bank retail mortgage lender, loan Depot enables customers to achieve the American dream of homeownership through a broad suite of lending and real estate services that simplify one of life's most complex transactions. With headquarters in Southern California and offices nationwide, loan Depot is committed to serving the communities in which its team lives and works through a variety of local, regional, and national philanthropic efforts. Base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay for this roles is between $111,000 and $120,000. Your base pay will depend on multiple individualized factors, including your job-related knowledge/skills, qualifications, experience, and market location. We are an equal opportunity employer and value diversity in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Who we are Geotab is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities. Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab's open platform and Geotab Marketplace , offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes. Our team is growing and we're looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab. To see what it's like to be a Geotabber, check out our blog and follow us @InsideGeotab on Instagram. Join our talent network to learn more about job opportunities and company news. Who you are: We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Lead Data Scientist who will utilize strong problem-solving skills with statistical analysis in order to align data products with Geotab's organizational goals What you'll do: The Lead Data Scientist leads and contributes to medium to large projects; generally these are multi-person projects spanning cross-functional areas both within the data department and across other technical boundaries. You will work to research, experiment, develop, and bring to production data science solutions involving machine learning models, data processing pipelines, novel algorithms, and related topics in the context of fleet management and aggregated telematics solutions. You have the ability to problem solve and create technical solutions for novel business problems, working with non-technical stakeholders as needed to evaluate technical tradeoffs. This role also includes technical mentorship to other Data Scientists. How you'll make an impact: Develop and refine inference and predictive models for the Fleet Safety data product umbrella. Collaborate with cross-functional teams including product managers, data analysts, data scientists, developers, user experience analysts and external stakeholders to gather requirements, build technical consensus and drive data products to production. Support the definition and shaping of research and development initiatives in areas of subject matter expertise. Create algorithms and models required to solve complex business problems. Own the design, development, monitoring, and maintenance of scalable models. Test the performance of models/data products and make recommendations for improving Geotab's product suite. Take responsibility for the technical output of a project. Conduct experiments to identify causality for data anomalies. Stay up to date on the latest research in data science, and propose innovative ideas and techniques to advance the field in our business domain. Cross team and service boundaries to solve problems. Build relationships with stakeholders including customers, product managers, cross-functional teams, and external partners. Contribute to defining strategic direction, planning the roadmap, and synthesizing feedback to ensure team success. Ensure that knowledge is shared amongst the team and does not position themselves or others as a single point of failure; is skilled at influence without authority, to unblock technical impediments and achieve necessary technical alignments across individuals and teams with minimal escalations. Mentor multiple Data Scientists; work through others; lift the skills and expertise of those around. Advise managers with insights and recommendations to improve the technical team; participate in recruiting processes for technical team members. Own responsibility for the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions. Collaborate with business stakeholders to understand their requirements and develop analytical solutions. Drive innovation and continuous improvement in data science methodologies and practices within the organization. What you'll bring to the role: Diploma/Degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science or a related field. 10-12 years of Data Science or related experience. Thorough knowledge of relevant programming languages (primarily Python, SQL), object-oriented programming principles, Big Data tools and Data Mining/Warehousing Programs (preferably Google Cloud BigQuery). Experience with model experimentation, deployment, and monitoring in large-scale cloud-based production systems. Experience in working with large amounts of data in SQL. Proficient in building models using common Python libraries and frameworks such as TensorFlow, PyTorch, and scikit-learn. Experience with building, training, and deploying predictive models. Experience with AirFlow, Beam, Spark, BigQuery and other cloud based and distributed technologies to scale machine learning models and workflows will be an asset. Experience with various supervised and unsupervised machine learning methodologies in areas common to the business such as anomaly detection, time series forecasting, clustering, event prediction, and other areas. Relevant industry experience in order to reach the competencies outlined and to demonstrate varied experience in a wide range of problems, pressures, and scenarios on a consistent basis. Experience working within a technical or engineering organization; knowledge of the high-technology industry is an asset. If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply. Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees. Why job seekers choose Geotab Flex working arrangements Home office reimbursement program Baby bonus & parental leave top up program Online learning and networking opportunities Electric vehicle purchase incentive program Competitive medical and dental benefits Retirement savings program *The above are offered to full-time permanent employees only How we work At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology! We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish - in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at ******************. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab's collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice. Click here to learn more about what happens with your personal data.

NXP Semiconductors Sales seeks an experienced and results-oriented Data Scientist to contribute to our AI-driven initiative, providing comprehensive Customer 360 insights to our Sales team. This role centers on developing and deploying AI/ML models and Generative AI Retrieval Augmented Generation (RAG) solutions, synthesizing information from diverse internal and external sources to empower our sales force. Experience with AWS AI/Generative AI tools as well as Salesforce Einstein is highly desired. This role requires a strong understanding of Generative AI and ML implementations for various sales scenarios, proficient programming skills, and excellent English communication. Semiconductor industry and Sales experience are highly valued. Responsibilities: * Collaborate with cross-functional teams (executives, sales, marketing, and Salesforce) to translate business needs into actionable data science solutions. * Conduct exploratory data analysis (EDA) on complex data sources, including internal systems (e.g., Sales Order, Revenue Forecasts, Design Win Opportunities) and external sources (e.g., company websites, trade news, SEC Edgar filings). * Design and develop machine learning models to predict customer behavior, identify sales opportunities, and generate actionable insights. * Develop data pipelines and ETL processes for ingesting, cleaning, and transforming disparate data sources to build RAG instances and train ML models. * Implement and support Generative AI prompt user interfaces, providing training and enablement to users. * Deploy and maintain production-ready machine learning models, ideally leveraging AWS or Salesforce environments. * Create visualizations and reports to effectively communicate insights and findings to stakeholders. * Maintain awareness of advancements in AI, particularly within the Generative AI domain. * Collaborate with the Salesforce team, the CDO (Chief Data Office), and IT data scientists and engineers to enhance AI capabilities. Qualifications: * Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, or a related quantitative or business field. * Three or more years of demonstrated experience as a Data Scientist, with a proven track record of successful project implementations. * Deep understanding of statistical modeling, machine learning algorithms, and data mining techniques. * Proven ability to implement and optimize Generative AI solutions, including experience leveraging company internal and external data within Retrieval Augmented Generation (RAG) databases. * Proficiency in Python and R, coupled with experience using machine learning libraries and frameworks such as scikit-learn, TensorFlow, and PyTorch. * Expertise in data engineering, and working with large, complex datasets comprising structured, unstructured, and external web data. Databricks experience is a plus. * Proficiency with AWS cloud computing platforms. * Demonstrated data visualization skills using tools such as Tableau or Power BI. * Experience with Salesforce (including Einstein and Data Cloud) and ModelN is highly desirable. * Experience within the semiconductor or high-tech industry, particularly in Sales, Marketing, or Supply Chain, is a strong plus. #LI-FCC3 More information about NXP in Mexico... #LI-fcc3

Opportunity: Investment Analyst At Chamberlain Group, we do everything in teams because we believe in the collective genius of groupthink: many heads are better than one! The core responsibilities of the Investment Analyst will be to work as part of our Investment Team to support all facets of the investment process, with a focus on areas such as managing Alternative Investment data in our portfolio accounting system, working with clients to access tax and other information about their investments and trading securities. In exchange, you will get exposure to a sophisticated investment platform comprised of best-in-class public and private investment managers. Success in this position requires: Superior attention to detail, while maintaining a big picture perspective Technical mindset for data integration, system maintenance and process improvement Conversational knowledge of the investment advisory business Commitment to offering platinum-level client service to internal and external clients It is essential that the candidate demonstrates a high degree of ownership in the quality of their work and has an exceptionally professional demeanor. He/she will have direct interaction with our clients. This position is a ‘Jack of All Trades' of sorts, and some examples of responsibilities include: Organizing statements and aggregating information from investment managers Maintaining portfolio accounting data for alternative investments Supporting tax-related needs such as monitoring K1s or tax harvesting activities Tracking distributions for reinvestment Ad hoc operational support of the team, especially related to process improvement Trading securities in client accounts (mostly Mutual Funds and ETFs) The ideal candidate will be a quick learner with proficiency in excel/data management and a keen eye for improving processes, as we need someone to streamline data exchange between various systems. It is important to exude a team player mindset, taking pride in everything from administrative tasks to analytics that support the investment decision-making process to owning the quality of data to working with clients. Requirements: BA/BS degree required with a focus on Business, Finance, Investing or related field preferred. Proficient in Excel; comfortable with VBA; familiar with other coding languages a plus (Python, SQL, C++, etc.). Securities trading license preferred, but willing to support obtaining the license. Basic experience with the investment advisory business required. Must be detail oriented, highly organized, self-motivated, and possess strong time management skills. Strong analytical and technical skills are essential. High competency in mathematics and financial spreadsheets. Competent in Microsoft Office (Word, PowerPoint). Excellent written and verbal communication skills. Clear understanding of platinum-level client service. Committed to working with integrity. Compensation and Benefits Base Salary Range: $65,000 - $80,000 Chamberlain Group assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be as stated above at the commencement of employment. However, base salary if hired will be determined on an individualized basis and is only part of the Chamberlain Group Total Compensation Package, which, depending on the position, may also include bonus plans and Company-sponsored benefit programs. Chamberlain Group offers competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and fun. We provide medical/dental/vision benefits, a substantial time off package, generous retirement plan options, assistance for licenses and designations, awards for tenure, and a flexible Friday program in the summer months… it is a GREAT place to work! We work hard to value our team, providing an employment experience that supports you and your family through moments that matter. This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.

Employer: Consumerinfo.com, Inc. Job Title: Data Scientist Develop machine learning algorithms with huge data sets to solve challenging business questions; Improve performances of existing algorithms; Discover new data sources and create new input features for ML models; Build end to end data pipeline for ML models; Communicate key analytical results to stakeholders. Qualifications Employer will accept a Master's degree in Machine Learning, Data Science, Computer Science, Statistics or related field. Position requires experience in the following: * Experience with statistical modeling techniques such as regression, support vector machines, and neural nets * Experience with natural language processing * Experience with deep learning algorithms such as convolutional neural networks and recurrent neural networks. * Experience with API development and comfortable working in a Linux environment. * Experience with building end to end scalable ML solutions from data aggregation to model deployment. * Experience in Python, R, SQL and SparkSQL. Additional Information Pay range for this role is $96,678.00 - $151,230.00, with actual pay based on work location, job-related skills, experience and education. Role incl. variable pay and comprehensive benefits. To apply please go to ********************************* and search for requisition number 744000049643233.

Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community. Job Summary Reporting to the Dean of Undergraduate Admissions, the inaugural Data Scientist for Enrollment Management is a member of the Undergraduate Admissions senior management team and understands admissions and financial aid strategies for undergraduate students and how to harness data and analytics to shape, influence, and model admission decisions, enrollment, and student success. The Data Scientist will gather, interpret, monitor, and analyze information relating to undergraduate admissions recruitment, policies, procedures, and outcomes. The Data Scientists will help to build and maintain data pipelines and processes to support these processes. This position will collaborate closely with admissions officers, faculty, and leadership to develop and refine data-driven strategies to inform enrollment and ensure leadership has the data and analysis needed to make informed decisions that advance institutional and division goals. The Data Scientist will be a critical source of expertise on enrollment management analytics for leaders across the Institute. They will have a strategic understanding of the role of enrollment analytics in the support of new student enrollment, student success, student retention and will work diligently to improve data structure and integrity, allowing for more efficient, expeditious, and accurate reporting that informs division strategy and planning. The Data Scientist will use software engineering, statistics, and machine learning to automate processes and develop solutions to enrollment challenges. Working alongside the Senior Associate Director of Operations, this position will also support the analysis of existing processes, identify modernization opportunities, and provide streamlined solutions to support end-users in Slate. Applications will be accepted through February 15, 2025. Essential Job Duties Design and conduct complex data analyses using student application data, demographic information, financial aid data, student success data, and other relevant sources. Design, build and maintain data pipelines and processes to inform admissions decisions and outcomes. Collaborate on various research teams with Caltech faculty, the Student Success Analytics Working Group, and members of the Institutional Research Office. Develop and implement predictive models to inform recruitment, selection, yield, and student success strategies. Use data reporting tools available through third parties such as the National Student Clearinghouse, College Board, ACT, and COFHE data sharing to analyze trends and inform strategies. Analyze indicators to understand how enrollment management supports student success. Create useful data visualizations and reports to effectively communicate complex findings to both highly technical and non-technical audiences. Partner with Enrollment Management, Admissions, Financial Aid, and Marketing teams to translate data insights into actionable strategies. Acquire a deep understanding of relevant aspects of undergraduate admissions at Caltech. Develop relationships with key stakeholders across campus, become familiar with data relating to admissions priorities, and stay abreast with national context (including current events, court cases, and academic research Stay up-to-date on the latest trends and techniques in data science and enrollment management. Maintain data security and integrity and ensure compliance with all FERPA regulations. Responsible for comprehensive enrollment reporting in partnership with Caltech's Institutional Research Office. Proactively seek and locate data, including outside benchmarks or comparative data, to support or refute proposed decisions. May need to collaborate with other organizations to gather data. Drive the collection of new data resources and refinement of existing resources. Research and propose options for the collection and warehousing of new data, particularly data that is new to the admissions ecosystem. In partnership with Institutional Research partners, determine appropriate methodology for data extraction, transformation, storage, and usage. Develop processes for loading and updating data that are efficient and re-usable. Document all data and transformations thoroughly. Set the research agenda for the department, working with the senior management team to ensure an on-going commitment to understanding and evaluating our work. Develop and implement sophisticated predictive models to identify high-potential applicants with a strong likelihood of success at Caltech. Contribute positively to other duties and projects as assigned. Basic Qualifications Master's degree in data science, statistics, computer science, or a related quantitative field. Minimum 3 years of experience in a data science role. Strong programming skills in Python, R, or similar data analysis languages. The ability to construct large SQL databases and query them. Expertise in building useful and complex data visualizations. Extensive experience in and strong passion for empirical research and answering hard questions with data. The ability to: Work independently within basic guidelines and parameters and with minimal supervision. Manage complex projects and meet critical deadlines. Establish & maintain effective collaborative working team relationships. Work effectively on several projects simultaneously. Engage in proactive and creative problem solving. Experience with data wrangling, scraping, cleaning, and manipulation. Expertise in sophisticated statistical analysis and machine learning techniques. Exceptional communication, data presentation, and collaboration skills, with the ability to present complex findings in a clear and concise manner. Demonstrated ability to explain sophisticated analyses and technical concepts and conclusions to a non-technical audience. Demonstrated ability to work with a wide variety of stakeholders and to develop productive professional relationships across a complex, faculty-led institution of higher education. Ability to handle confidential information with a high degree of discretion and tact. A strong analytical mind with a problem-solving approach. A passion for education and a commitment to using data to improve student success. Preferred Qualifications PhD. Data science experience in the education sector. Previous experience working in higher education admissions or related field with organizational processes preferred. Required Documents Resume. Cover Letter.

Data Analyst - Research - (10029169) Description Join the forefront of groundbreaking research at the Beckman Research Institute of City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. A Data Analyst (Research) position is available under the leadership of Dr. Stephen Gruber. As a successful candidate, you will: Focus on genomic pipeline analysis for tumor and corresponding normal sequencing files. Utilize techniques for survival analysis for prognostic and predictive outcomes. Qualifications Your qualifications should include: Education: Bachelor's degree in business, finance, or information management, preferred. Experience may substitute for minimum education requirements. Experience: 3+ years relevant business experience. Preferred qualifications: Experience with integration of curated and annotated clinical data in order to quantify clinical associations and outcomes. Development of logistic regression models and survival analyses, including multivariate Cox proportional hazards models. Experience with the analysis of genotype and phenotype data in PLINK. High performance computing cluster workflow pipeline development. Experience refining and deploying machine learning tools. Experience interpreting biologic and informatic literature to apply principles and methods to association data for treatment response and clinical utility will facilitate success in this role. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our commitment to diversity, equity, and inclusion, please click here. To learn more about our Comprehensive Benefits, please CLICK HERE. Primary Location: United States-California-DuarteJob: ResearchWork Force Type: HybridShift: DaysJob Posting: Feb 14, 2025Minimum Hourly Rate ($): 35.682500Maximum Hourly Rate ($): 55.307600

The Information Services position assists and maintains the daily processing of all university gifts along with producing various reports pertaining to the gift entry process for multiple departments within the University. This includes coordinating and processing data analysis and entry projects within the database. Duties and Responsibilities § Manages the daily work of major gift processing, donation processing and pledge management. · Manage gift analysis and entry procedure and process; reconcile daily gift batches in a timely and accurate fashion to adhere to University Advancement's 48-hour turnaround receipting/acknowledgment policy. § Analyze gifts to determine appropriate campaigns, funds appeals for each gift to be processed. Contact appropriate officer to contact donor. § Process and enter matching gifts into the database when they are received. § Produce various complex and basic reports pertaining to the gift entry process, including multiple reports. Then distribute to the departments or staff. § Coordinate and process data analysis and entry projects; operate and maintain computer and database systems. § Produce gift receipts and individualized acknowledgement letters for all gifts received in a timely and accurate fashion. § Balances gift accounts with the Accounting Office. § Add new constituent records and gift information to the databases as needed, analyze information and populate all data fields when information is available. § Organize, coordinate and maintain the integrity of hardcopy filing system. § Establish a format and consistent operating procedure for all gift reports. § Update prospect information including: biographical, affinity, gift and relational information. Provide information as requested to support development efforts. § Train, supervise and manage student staff, when appropriate and necessary. § Act as administrator for University “Amazon Smile” account. § Coordinate volunteers for Alumni events annually. § Helps develop and implement smooth business operations of the Advancement Office. § Receives visitors and answers the office main phone lines with a high standard of professionalism. § Provides spreadsheet and word processing support. § Assists other Advancement staff in the office when needed. § Manages the Donor Services function to ensure that all donor enquiries are answered and responded to within an appropriate timeframe. § Establishes and documents departmental policies and procedures and update the existing manual describing donations processing policies. § Ensures that all IRS guidelines pertaining to the processing and receipting of donations are met. § Communicate directly with donors, financial advisors, representatives and university staff regarding gift transactions and delivery to university. § Authorize transfer of funds across university accounts. Serve as resource for university advancement and financial officers regarding gift counting. § Ensure adherence to the University gift counting and reporting policies and procedures. Ensure regulatory compliance with charitable gift accounting. § Performs additional duties as required. Knowledge, Skills and Abilities Qualifications: 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. Education/Experience: Bachelor's degree (B. A.) from four-year college or university. One to three years related experience. Language Ability: Excellent verbal and written communication skills. Ability to use tact and diplomacy and exude a positive image, perform effective customer service and maintain a high level of professionalism. Math Ability: Ability to do math in order to ensure that budget and billing records are accurate. Reasoning Ability: Analytical thinking and interpersonal skills. Ability to define problems, collect data, establish facts, and draw valid conclusions. <

KIOXIA America, Inc. is the U.S.-based subsidiary of KIOXIA Corporation, a leading worldwide supplier of flash memory and solid state drives (SSDs). From the invention of flash memory to today's breakthrough BiCS FLASH™ 3D flash memory technology, KIOXIA continues to pioneer innovative memory, SSD and software solutions that enrich people's lives and expand society's horizons. The company's innovative BiCS FLASH™ 3D flash memory technology is shaping the future of storage in high-density applications, including advanced smartphones, PCs, SSDs, automotive, and data centers. Job Description KIOXIA America Inc. is looking for a highly motivated and skilled individual to intern as a Business Intelligence, Dashboarding, Excel Application Development & Automation Specialist. This role will be crucial in developing and maintaining our business intelligence infrastructure, creating insightful dashboards, and automating key processes using Excel and other relevant tools. The ideal candidate will possess a strong analytical mindset, excellent technical skills, and a passion for data-driven decision-making. Responsibilities: Dashboard Creation: Create visually appealing and interactive dashboards using Excel and Power BI to track key performance indicators (KPIs) and provide actionable insights. Excel Application Development: Help develop and maintain complex Excel applications, including custom functions, macros (VBA), and user interfaces, to automate data manipulation, analysis, and reporting. Automation: Identify opportunities for process automation and implement solutions using Excel, scripting languages (e.g., Python, VBA), and other automation tools. Data Analysis: Analyze large datasets to identify trends, patterns, and insights that can inform business decisions. Data Visualization: Create clear and concise data visualizations to communicate complex information effectively. Collaboration: Work closely with stakeholders across different departments to understand their data needs and translate them into effective BI solutions. Documentation: Maintain thorough documentation of all BI solutions, dashboards, and Excel applications. Training & Support: Provide training and support to end-users on how to use BI tools and Excel applications. Qualifications pursing Bachelor's degree in Computer Science, Information Systems, Business Analytics, or a related field. Strong proficiency in Excel, including advanced formulas, VBA programming, and data analysis tools. Experience with data visualization tools (e.g., Power BI, Tableau, etc.) Knowledge of SQL and database management principles. Experience with ETL processes and data warehousing concepts. Familiarity with scripting languages (e.g., Python) is a plus. Excellent analytical and problem-solving skills. Strong communication and interpersonal skills. Ability to work independently and as part of a team. Detail-oriented and organized. Additional Information Req# i-0049; #LI-MB1 The expected salary for this position is $25 - $30/hour. At KIOXIA, we value the following: Investment in you Offering opportunities for career growth and personal development training Open-minded management Empowering employees by listening and responding to ideas, issues, and approaches Flexible work-life balance Offering a generous PTO allotment, holiday shutdown, and flexible work options Diversity of cultures, perspectives, backgrounds and experiences of all our team members Through our diversity, equity and inclusion initiatives, our focus is to strengthen our company culture to create more inclusion and belonging for all Benefits for our team members Excellent medical and non-medical benefits, 401(k) matching, pet insurance KIOXIA America, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Team Name: It takes a Blizzard to make a Blizzard game, and that level of effort doesn't end once the game is released; we support our games for years after they're in the hands of gamers world-wide. Global Insights works closely with the game development, business, and internal service teams at Blizzard to produce insights and models that enable us to make the most epic player experiences. The AI&ML(machine learning) team within Global Insights focuses on applying the latest in key research areas to build lasting data products and tools for our game development and business teams. We are looking for a Data Scientist who has experience in reinforcement learning to join our AI&ML team. Blizzard data scientists design and deploy data-powered products and services that scale to the terabytes of data that Blizzard games generate every day. The ideal candidate is passionate about applying machine learning, specifically reinforcement learning, to gameplay AI and has experience developing and deploying the solutions to real-world problems. Responsibilities Research and develop state-of-the-art machine learning solutions for reinforcement learning based gameplay AI to enhance game development and gameplay objectives. Work closely with machine learning engineers and software engineers to deploy, automate, and maintain models seamlessly on production systems. Communicate about machine learning models and products to both technical and non-technical audiences. Minimum Qualifications Master's or PhD in computer science and machine learning related field with a specialization in single-agent and multi-agent RL in games or robotics. Hands-on applied or research experience with one or more of the following: reinforcement learning, imitation learning, optimization, supervised/unsupervised learning, etc. Proficient in Python and experienced in at least one other higher-level programming language like Java, C++, C#, Scala, etc. Preferred Qualifications Experience with game engines like Unreal or Unity. Experience with cloud computing services like Google Cloud, AWS (Amazon Web Service), or Azure. Experience applying reinforcement learning to a real-time application or environment. Experience working with headless cloud computing resources in a parallelized compute environment. A track record of original contributions to research communities of ML, AI, and reinforcement learning. Practical experience with Tensorflow, Pytorch or Keras. The Global Insights team prides in its dedication to fostering a healthy work-life balance, promoting mentorship at every level, and prioritizing mental and physical wellbeing. We offer a robust mentorship program for career development and provides opportunities to build rapport among team members. We are committed to providing growth opportunities for team members to look forward to. Blizzard Entertainment is a global company committed to growing our employees along with the business. We offer generous benefits and perks with an eye on providing true work / life balance. We've worked hard to foster an intensely collaborative and creative environment, a diverse and inclusive employee culture, and training and opportunity for professional growth. Our people are everything. Our core values are real, and our mission has never changed. We are dedicated to creating the most epic entertainment experiences…ever. Join us! We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, protected veteran status, or any other basis protected by applicable law, and will not be discriminated against on the basis of disability. Rewards We provide a suite of benefits that promote physical, emotional and financial well-being for ‘Every World' - we've got our employees covered! Subject to eligibility requirements, the Company offers comprehensive benefits including: Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance; 401(k) with Company match, tuition reimbursement, charitable donation matching; Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave; Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others; If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance. Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company. You can learn more by visiting *************************************** In the U.S., the standard base pay range for this role is $77,500.00 - $143,376.00 Annual. These values reflect the expected base pay range of new hires across all U.S. locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role's range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. While we strive to provide competitive offers to successful candidates, new hire compensation is negotiable.

APU is seeking employees who desire to engage in our thriving culture by cultivating community through professional interactions, demonstrating a posture of lifelong learning, and modeling Christ-like character. Working together, employees at APU commit to establishing a university atmosphere that is pleasing to God and edifying to one another. The Research and Data Analyst will be fully responsible for designing, collecting, analyzing, and submitting data for grants and projects (i.e. SAMHSA grants). Required Education Bachelors degree in Psychology, Accounting, Business, or research-related field highly desired. Required Experience Experience conducting research, data entry, and analysis. Experience in the mental health field highly desirable. Familiarity with APU student service programs highly desirable. Primary Duties/Essential Functions Data entry and reporting must align with funder expectations and funder data entry engines. Duties include supporting the SAMHSA National Child Traumatic Stress Initiative grant. This includes researching and developing a data collection system, tracking training and service numbers and outcomes, developing and disseminating needs assessments, information sharing, and entering timely project outcomes on SAMHSA's Performance Accountability and Reporting System. The analyst will be responsible for collecting and recording university-wide and client participant data, with adherence to confidentiality and HIPAA expectations. Skills Strong people and presentation skills. Strong time management and organizational skills. Mental Demands Ability to engage in critical thinking and exercise independent judgment. Ability to maintain confidentiality and manage confidential information. Self-starter, ability to communicate effectively in written and oral form. Physical Demands Ability to stand, walk and sit for extended periods of time. Sufficient hand, arm, and finger dexterity to operate a computer keyboard and other office equipment. Speaking and hearing ability sufficient to communicate in person or over the telephone. Visual Demands Reading, writing notes, and computer monitor. Visual acuity to read words and numbers. Environment Pleasant office, comfortable temperatures. Multiple conversations and transactions occurring simultaneously. Technologies Proficient in Google Apps., Microsoft Office, Word, PowerPoint and Excel. Comfortable learning about and utilizing data entry portals. Compensation Grade 10: $25.94 to $29.83 is the hourly compensation for this role and reflects what Azusa Pacific University reasonably expects to pay for this position. Actual compensation may vary based on the qualifications, experience, and internal equity. In addition to compensation, APU offers a competitive benefits package. Azusa Pacific University is a Christ-centered, multicultural community that values and seeks faculty and staff who are committed to diversity, work effectively with diverse populations, and engage others in ways that honor our rich cultural mosaic and biblical foundation. Please click the links to learn more about 'what we believe', our 'mission statement', and our 'statement of faith'. You can learn more about APU by watching the stories of faculty, staff, and alumni as they carry out our mission here: *************************** Azusa Pacific University will conduct a background check on all final candidates. Review of applications will begin immediately, and the position will remain open until filled unless otherwise stated. Azusa Pacific University does not discriminate on the basis of race, color, national origin, sex, age, disability, or status as a veteran in any of its policies, practices, or procedures. Women and minorities are encouraged to apply.