Data analyst internship jobs in Santa Cruz, CA

In the role of Data Analyst with Pyspark & AB Testing experience, you will be responsible for solving business problem for our Retail/CPG clients through data driven insights. Your role will combine a judicious and tactful blend of Hi-Tech domain, Analytical experience, Client interfacing skills, and solution design and business acumen so your insights not only enlighten the clients but also pave the way for launching deeper into future analysis. You will advise clients and internal teams through short burst high-impact engagements on identifying business problem, solving business problem through suitable approaches and techniques pertaining to learning and technology. You will effectively communicate data-derived insights to non-technical audiences appropriately and mentor junior or aspiring consultant/data scientists. You will play a key role in building components of a framework or product while addressing practical business problems. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued. Required Qualifications: Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. Candidate must be located within commuting distance of Sunnyvale, CA or be willing to relocate to these locations. This position may require travel within the US. Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Unable to provide immigration sponsorship for this role at this time. At least 4 years of experience in Information Technology Proven years of applied experience in exploratory data analysis, devising, deploying and servicing statistical models Strong hands-on experience with data mining and data visualization, Tableau, A/B Testing, SQL for developing and creating data pipelines to source and transform Data Strong experience using Python, Advanced SQL and PySpark Preferred Qualifications: Advanced degree with Master's or above in area of quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics or a related field Marketing domain background (Web analytics, click stream data analysis, and other KPI's on marketing campaigns) Knowledge of Machine Learning techniques Along with competitive pay, as a full-time employee you are also eligible for the following benefits :- Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness , Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off

HCLTech is looking for a highly talented and self- motivated Advanced Data Analyst to join it in advancing the technological world through innovation and creativity. Job Title: Advanced Data Analyst Position Type: Full Time Location: Onsite Role Overview Mandatory skills - My Sql, Python, Tableau and Simulation Tool Experience Strong ability in translating business requirements and needs into analytic solutions, within multiple areas in IT and with various stakeholders, including key leaders and managers. Leverage data to understand in depth IT business processes, identify areas of opportunity for process improvement. Write queries, analyze, visualize, and provide analytics on data to build reporting solutions to support various company initiatives. E.g., build rich and dynamic dashboards using Tableau. * Develop deep understanding of analytical data models. *Simulation Tools experience is must. Anylogic experience is big plus. * Support project development life cycles through data modeling, reporting and analytics. Participate in the on-going development of the business intelligence and data warehousing functions within the wider organization. Create training materials to guide business users on how to use dashboards. Participate in the creation and support of development standards and best practices. Explore and recommend emerging technologies and techniques to support/enhance BI landscape components. * Automate solutions where appropriate. Skills * At least 4-6 years of business intelligence and data warehouse experience. * At least 2-year experience with ANSI SQL/ Presto / Hive/ MySQL. * At least 1 year of experience with Tableau. * Prefer a candidate with scripting experience (Python/R/Javascript/PHP/ Perl/Ruby/etc.) * Prefer a candidate with experience building and maintaining pipelines * Knowledge of ETL processes and designs. Pay and Benefits Pay Range Minimum: $59,000 per year Pay Range Maximum: $109,000 per year HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to ****************** for investigation. A candidate's pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year How You'll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

In the role of Data Analyst with Pyspark & AB Testing experience, you will be responsible for solving business problem for our Retail/CPG clients through data driven insights. Your role will combine a judicious and tactful blend of Hi-Tech domain, Analytical experience, Client interfacing skills, and solution design and business acumen so your insights not only enlighten the clients but also pave the way for launching deeper into future analysis. You will advise clients and internal teams through short burst high-impact engagements on identifying business problem, solving business problem through suitable approaches and techniques pertaining to learning and technology. You will effectively communicate data-derived insights to non-technical audiences appropriately and mentor junior or aspiring consultant/data scientists. You will play a key role in building components of a framework or product while addressing practical business problems. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued. Required Qualifications: Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. Candidate must be located within commuting distance of Sunnyvale, CA or be willing to relocate to these locations. This position may require travel within the US. Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time. At least 4 years of experience in Information Technology Proven years of applied experience in exploratory data analysis, devising, deploying and servicing statistical models Strong hands-on experience with data mining and data visualization, Tableau, A/B Testing, SQL for developing and creating data pipelines to source and transform Data Strong experience using Python, Advanced SQL and PySpark Preferred Qualifications: Advanced degree with Master's or above in area of quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics or a related field Marketing domain background (Web analytics, click stream data analysis, and other KPI's on marketing campaigns) Knowledge of Machine Learning techniques The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. EEO/About Us : About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. EEO Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

About Us Gala Circle is a service provider offering integrated cutting-edge technology solutions for North American enterprises. It focuses on helping enterprises achieve business growth, efficiency improvement, and innovation, covering multiple industries such as catering and retail. Its core services consist of four major segments: 1.Ecological Operation Integration: Including alliance ecosystem restructuring, and cost reduction through centralized procurement. 2.Marketing & Customer Operations: Providing omnichannel social marketing, private domain establishment, and membership system services. 3.Payment & Compliance: Launching comprehensive payment solutions tailored to the North American market (covering major payment methods), while ensuring transaction security, compliance, and tax support. 4.Customized Technology Development: Covering systems such as CRM/ERP/HRM, industry-specific platforms, and SaaS/API integration. Key Responsibilities: Hardware & Technical Support: Assist with the coordination and tracking of hardware shipments. Support installation processes to ensure smooth deployment. Provide basic software guidance and troubleshooting assistance to users. Operational & Community Engagement: Maintain organized documentation of operational procedures. Assist in fostering strong relationships with customers and stakeholders. Support internal teams in cross-departmental operational initiatives. Qualifications: Strong communication and organizational skills. Basic technical proficiency with the ability to troubleshoot minor issues. Ability to work collaboratively with multiple teams. Adaptability and a proactive approach in a dynamic work environment. Bilingual proficiency in Spanish is a plus. Additional Information: This is a paid internship opportunity,20hours/week. The role is based at 1580 Oakland Rd San Jose, CA 95131. Future visa sponsorship opportunities may be available for eligible candidates. Equal Opportunity Employer Statement: Gala Circle is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, ethnicity, gender, age, disability, or any other legally protected status.

Team Introduction: TikTok-Data Science Team is responsible for all data science and analytics related work, cooperating with all key value chains in TikTok, including User Growth, PGC, Content Ecosystem, Social, Creation, Product Infrastructure, Research and Science etc. The goal of the team is to generate actionable insights from data and help the stakeholders to make the right decisions. Our main tasks include metrics defining, root cause analysis, experimentation methodology, feature/strategy evaluation and exploratory analysis to find more opportunities. Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date). Successful candidates must be able to commit to one of the following summer internship start dates below: * May 11th, 2026 * May 18th, 2026 * May 26th, 2026 * June 8th, 2026 * June 22nd, 2026 We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date). Responsibilities: * Define success metrics to measure product growth and identify problems through monitoring or forecasting * Apply technical expertise with quantitative analysis, experimentation, data mining to develop strategies for product optimizations * Quantify the impact of strategies through causal inference and generate actionable insights through deep dive analysis * Partner with Product, Engineering and cross-functional teams to influence and execute product strategy Minimum Qualifications: * Currently pursuing a PhD in Mathematics, Statistics, Economics, Computer Science, Data Science etc relevant technical field, or equivalent practical experience * Proficient in data querying languages and at least one scripting language (e.g. Python,R) * Experience in one or more of the following methods: forecasting, statistical and causal inference, classification methods. * Strong product sense and structured thinking, and be able to convert the analysis results into business decisions very well Preferred Qualifications: * Internship experience in data science

The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. We also develop innovative generative AI technologies based on Large Language Model to power innovative features in both Apple's devices and services on the cloud. As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of search and developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from different sources to provide the user with results that best satisfies their intent and information seeking needs. You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple's AI powered products, also conduct applied research to transfer the groundbreaking research in generative AI to production ready technologies. As a member of our fast-paced group, you'll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning, NLP experience and solid engineering skills in creating outstanding search and NLP services. This role will have the following responsibilities: - Analyzing search ranking and relevance requirements, issues and opportunities - Developing, fine-tuning, and evaluating domain specific Large Language Models for various tasks and applications in Apple's AI powered products - Conducting applied research to transfer the pioneering research in generative AI to production ready technologies - Understanding product requirements, translate them into modeling tasks and engineering tasks - Building machine learned models for search relevance, ranking and query understanding problems - Integrating search functions into Apple products, such as Siri, Spotlight, Safari, Messages, Lookup, etc. - Building end-to-end production system including query understanding and ranking to power search - Applying Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing Excellent data analytical skills Good interpersonal skills and team player PhD preferred PhD, MS or equivalent experience Experience in machine learning, deep learning, information retrieval, natural language processing or data mining Experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs. Proficiency in one of following languages: Python, Go, Java, C++

YOU WILL: Learn and Understand Cost Accounting concepts per US GAAP (Generally Accepted Accounting Principles) Obtain an overview of data and sources thereof used by the Cost Accounting team in various analyses. Review and build upon current Excel models used in cost accounting and reporting to improve their efficiency (filtering, sorting, and data structuring. Develop and implement streamlined processes for data manipulation. Create standardized templates and macros to automate repetitive tasks. Document changes/create SOPs (Standard Operating Procedures) for enhancements. YOU ARE: I am currently pursuing a degree in Accounting, Finance, Business Analytics, Management Information Systems, Data Analytics, or a related field. Strong proficiency in Microsoft Excel (advanced formulas, pivot tables, conditional formatting). Familiarity with data analysis and process improvement techniques. Attention to detail and ability to work independently. Excellent communication and organizational skills. You are actively enrolled as a full-time student in an accredited institution and have completed at least one year of education. Able to work 40 hours a week onsite throughout the course of the 12-week summer internship either between (May 27 - August 13 th , 2026 OR June 16 th - September 13 th , 2026) Legally authorized to work in the United States. WHO WE ARE: CORSAIR (NASDAQ: CRSR) is a leading global developer and manufacturer of high-performance gear and technology for gamers, content creators, and PC enthusiasts. From award-winning PC components and peripherals, to premium streaming equipment and smart ambient lighting, CORSAIR delivers a full ecosystem of products that work together to enable everyone, from casual gamers to committed professionals, to perform at their very best. CORSAIR also includes subsidiary brands Elgato, which provides premium studio equipment and accessories for content creators; SCUF Gaming, which builds custom-designed controllers for competitive gamers; ORIGIN PC, a builder of custom gaming and workstation desktop PCs and laptops; DROP, a community-driven brand known for enthusiast keyboards and curated peripherals; and Fanatec, a leading manufacturer of high-end sim racing hardware. This position is onsite in Milpitas, CA and not open to remote status at this time. This internship includes a base pay rate of $25 per hour, holiday pay, and perks access to the onsite fitness center. We have many intern openings in a variety of departments, check them all out to see which suits your interests and professional development the best at corsair.com/careers.

The Learning & Skill Development (LSD) organization is crucial in establishing a digital culture and mindset across the Commercial and Medical Group (CMG), ensuring all customers-employees, managers, healthcare providers, and patients-receive timely and relevant information and skills. LSD is transforming CMG into a continuous learning culture by advancing skills management, digital learning, experiential learning, and workflow learning. The team includes learning business partners with deep business acumen, Learning Design Architects focusing on perennial and business transformation areas, and instructional designers and multimedia partners who build best-in-class learning products. LSD scales these products through facilitators, learning technologists, and an analytics function that links skill development to business impact. This position is based in South San Francisco, CA, On-Site. The Opportunity We are seeking a highly motivated Data Analyst Intern to join the Business, Data, and Insights team within the LSD organization. The successful candidate will support data-driven decision-making, develop and maintain advanced data analytics tools, and collaborate with various stakeholders to generate actionable insights. This internship provides the unique opportunity to tackle a high-impact, cross-functional project focused on generating insights to inform operational efficiency across the organization. You will acquire and analyze data to identify operational gaps, root causes, and recommendations to help the organization streamline its processes. Assist in designing and implementing data analytics tools under the guidance of senior team members. Contribute to the development and maintenance of analytic products Collaborate with Learning Business Partners to gather data requirements and share preliminary insights. Utilize statistical tools to identify trends and patterns in datasets. Ensure data accuracy and quality by performing data cleaning tasks. Support stakeholders in identifying opportunities for process improvement. Maintain accurate records of findings and participate in team discussions to share insights. Program Highlights Intensive 12-weeks , full-time (40 hours per week) paid internship. Program start dates are in May/June (Summer) A stipend, based on location, will be provided to help alleviate costs associated with the internship. Ownership of challenging and impactful business-critical projects. Work with some of the most talented people in the biotechnology industry. Final presentations of project work to senior leaders. Participate in intern committees to design and coordinate program events and initiatives. Professional and personal development curriculum throughout the program, including networking opportunities, workshops, and panel discussions. Participate in volunteer projects, social events, and team-building activities. Who You Are (Requirements) Required Education: Must have attained a Bachelor's Degree (not currently enrolled in a graduate program). Required Majors: Business Analytics, Data Science, Finance, Economics, Information Systems, Psychology, Social Sciences, Business Administration Required Skills Proficiency in statistical analysis and data visualization tools (e.g., Tableau, Qlik, Power BI). Experience in data manipulation and analysis. Familiarity with data cleaning and processing techniques. Excellent communication skills and ability to translate complex data into actionable insights. Preferred Knowledge, Skills, and Qualifications Excellent communication, collaboration, and interpersonal skills. Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion. Programming skills with experience in SQL, Python, or R. Previous experience with educational or biomedical data is a plus. Experience in developing and implementing databases and data collection systems. Strong attention to detail and problem-solving skills. Excellent collaboration and interpersonal skills. Relocation benefits are not available for this job posting. The expected salary range for this position based on the primary location of South San Francisco, CA is $50/hour. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits. Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

ASML US brings together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market and service these advanced machines, which enable our customers - the world's leading chipmakers - to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. Our headquarters are in Veldhoven, the Netherlands, and we have 18 office locations around the United States including main offices in Chandler, Arizona, San Jose and San Diego, California, Wilton, Connecticut, and Hillsboro, Oregon. Introduction We are looking for an enthusiastic intern to join our team and help us explore innovative ways to process large volumes of equipment data using Artificial Intelligence (AI). This internship offers a unique opportunity to work on cutting-edge technologies and contribute to transforming how we manage and analyze machine data collected from customer sites. Background Information Our team is responsible for managing and analyzing equipment data generated by machines deployed at customer locations. Currently, processing this data involves tedious manual activities and the use of existing scripts with limited flexibility. These challenges hinder scalability and efficiency, creating a strong need for automation and smarter solutions. Your Assignment: The intern will investigate emerging AI technologies and techniques to improve data processing workflows. The goal is to identify opportunities where AI can replace or augment manual processes and develop proof-of-concept solutions to showcase potential improvements. Research AI methods applicable to data processing and automation. Analyze current workflows and identify areas for improvement. Develop prototypes or proof-of-concept solutions using AI tools and frameworks. Document findings and present results to the team. Requirements: Minimum 60 hours completed towards a Bachelor's degree in an Engineering field and an expected graduation date of December 2026 or May 2027.with experience in working with data analysis tools and techniques. Problem Statement: Big amounts of equipment data are being collected from our machines at customer sites. Processing of that data heavily relies on manual activities and rigid scripts. This internship aims to explore AI-driven approaches to automate and optimize these processes. What Makes This Internship Interesting: You will work on real-world industrial data challenges, gain hands-on experience with AI technologies, and contribute to shaping future solutions for data-driven operations. The current base annual hourly range for this role is currently $18.00 - $48.00. Pay scales are determined by role, level, location and alignment with market data. Individual pay is determined through interviews and an assessment of several factors that that are unique to each candidate, including but not limited to job-related skills, relevant education and experience, certifications, abilities of the candidate and pay relative to other team members. Inclusion and diversity ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company. Need to know more about applying for a job at ASML? Read our frequently asked questions. Request an Accommodation ASML provides reasonable accommodations to applicants for ASML employment and ASML employees with disabilities. An accommodation is a change in work rules, facilities, or conditions which enable an individual with a disability to apply for a job, perform the essential functions of a job, and/or enjoy equal access to the benefits and privileges of employment. If you are in need of an accommodation to complete an application, participate in an interview, or otherwise participate in the employee pre-selection process, please send an email to USHR_Accommodation@asml.com to initiate the company's reasonable accommodation process. Please note: This email address is solely intended to provide a method for applicants to initiate ASML's process to request accommodation(s). Any recruitment questions should be directed to the designated Talent Acquisition member for the position.

Job Title: AI Data Center Operations Contractor Office Location: San Jose, CA Job Type: Contract (6 - 12 months) Work Model: Onsite At SK hynix America, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK hynix America, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. Position Overview: SK hynix is seeking a seasoned AI Data Center (DC) Operations Contractor to join our DC facilities management team for a 6-12 month engagement. This specialized role demands extensive operational experience managing high-performance computing environments that support AI/ML workloads. The ideal candidate brings knowledge of running AI data centers at scale, with demonstrated expertise in power management, thermal control, preventive maintenance protocols, and incident response procedures specific to GPU-intensive infrastructure. Responsibilities: Optimize AI Infrastructure Performance: Apply your operational expertise to enhance the performance, reliability, and efficiency of our AI computing systems. Ensure continuous availability of critical infrastructure while managing the unique demands of high-density AI workloads - including extreme power consumption, elevated thermal output, and advanced cooling requirements. Monitor & Manage Critical Systems: Lead daily operations by monitoring real-time power consumption across GPU clusters, proactively managing cooling systems to maintain optimal thermal conditions, and coordinating water resource use for cooling infrastructure. Develop and refine AI-specific Standard Operating Procedures (SOPs) to empower teams to respond swiftly and effectively to routine maintenance and emergency situations. Ensure Regulatory Compliance: Maintain strict adherence to operational permits, environmental regulations, and industry certifications. Conduct regular facility audits, serve as the primary liaison with regulatory inspectors and utility providers, and ensure all operational activities remain fully aligned with permit conditions and certification standards. Lead Technical Optimization Initiatives: Serve as the technical lead in implementing power and thermal management strategies that balance peak performance with energy efficiency. Optimize cooling distribution to eliminate thermal hotspots and strategically schedule maintenance windows to minimize disruptions to AI training and inference workloads Continuous Contribution Areas: Identify efficiency improvements and develop enhanced monitoring capabilities to support AI workload management. Establish best practices for operational workflows and create comprehensive documentation for critical procedures. Implement automation where appropriate to reduce manual intervention and improve operational consistency Qualifications: Demonstrate concrete operational capabilities through hands-on experience managing AI or high-performance computing data centers. Minimum 5 years of data center operations experience, including at least 2 years focused specifically on AI/ML infrastructure operations. Direct experience managing facilities supporting GPU clusters with power densities exceeding 30 kW per rack. Deep operational knowledge of cooling systems in AI/ML environments - including liquid cooling, chilled water systems, and advanced thermal management technologies. Proven ability to maintain target operating temperatures in high-density compute environments and troubleshoot cooling system failures under pressure. Comprehensive understanding of power management - including UPS systems, generator operations, PDU management, and electrical load balancing. Skilled in reading and interpreting electrical diagrams, coordinating with utility providers during planned/unplanned outages, and implementing emergency power protocols. Expertise in permit compliance and certification maintenance - including environmental permits, water discharge permits, air quality regulations, and ongoing certifications such as ISO or Uptime Institute operational sustainability standards. Preferred Qualifications: Bachelor's degree or equivalent practical experience Technical depth paired with operational pragmatism - combining hands-on facility management with strategic thinking. Experience working in 24/7 operations teams, responding to critical incidents, and maintaining uptime targets exceeding 99.9% in demanding environments. Ability to balance performance requirements with cost efficiency - with a strong commitment to safety and compliance. Equal Employment Opportunity: SKHYA is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees and prohibit discrimination and harassment of any type without regard to race, sex, pregnancy, sexual orientation, religion, age, gender identity, national origin, color, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. Compensation: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. Pay within the provided range varies by work location and may also depend on job-related skills and experience. Your Recruiter can share more about the specific salary range for the job location during the hiring process. Pay Range$110,000-$160,000 USD

+ We are seeking a highly skilled data quality expert with a strong understanding of Large Language Models (LLMs) to join our team as a Quality Analyst for Human-created Data. + In this role, you will liaise closely with the highly technical modeling teams as well as vendor leads, understand the data needs of LLM modeling teams, and ensure that the data produced by expert content creators meets the highest quality standards. + You'll need a strong ability to understand LLM use cases, have a nuanced understanding of good versus great content, and be able to use quantitative and qualitative techniques to analyze LLM datasets. **Responsibilities:** + Ensure high quality during task development: + Define data requirements based on a deep understanding of the modeling team goals and study of model loss patterns. + Design detailed instructions for content creator teams, illustrating nuanced differences with clear examples. + Rapidly iterate with content-production vendors on small batches of data to arrive at desired data quality. + Measure and demonstrate data quality during data collection: + Drive processes to deliver benchmark datasets for assessing data quality. + Benchmark vendor data quality against competitor models. + Use quantitative techniques to analyze vendor-produced data to assure high quality and drive rater pool optimization. + Audit datasets for quality issues and develop tools for accelerating qualitative analysis. + Use modeling and experimentation techniques to demonstrate data impact and identify blind spots. + Communicate on data quality: + Send out regular reports to project stakeholders on data quality. + Track key metrics such as iteration time and vendor quality audit results. + Author best practices and guideline documents (e.g. guidelines for teams wanting to work with vendors for human data, best practices for instruction design, etc). **Experience:** + 3+ years of experience in Technical Writing, Quality Assurance or a related field. + Excellent writing and editing skills, with the ability to adapt to different styles and tones. + Strong analytical and problem-solving skills. + Ability to work independently and as part of a team. **Skills:** + Data Quality + LLM processes like Pre-training, RLHF, SFT, Evals **Education:** + Bachelor's degree in English, Creative Writing, Linguistics, Science, Computer Science, or a related field. **About US Tech Solutions:** US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit *********************** (********************************** . US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

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

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500 . Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description As ServiceNow continues its unprecedented growth on the path to becoming the Defining Enterprise Software Company of the 21st Century, we are further establishing our advanced data and analytics capabilities. ServiceNow is seeking a proactive, passionate, analytical team members to help deliver the most strategic insights to the company. Business Insights Analyst interns will join a team that proactively monitors the real-time health of the business to ensure the company leadership has the right insights and recommendations to grow and scale the company. This career path is a hybrid of traditional roles in strategy, analytics, research, and data visualization - requiring a mix of strategic thinking, data analysis, and business operations skills. The ideal candidate is relentlessly curious, has high analytical capability and is passionate about creating innovative analysis to understand trends and identify opportunities. This individual is energized by finding actionable insights and forming recommendations using massive quantities of data, and derives joy in finding signal among the noise. What you get to do in this role Proactively uncover trends and anomalies, understand relationships, and develop actionable insights from analysis that will drive business decisions and actions, help us understand quarterly performance and improve our go-to-market motions. Apply expertise in quantitative analysis and presentation/visualization of data to see beyond the numbers; transform raw data into actionable insights and communicate succinct, relevant recommendations to drive action from both technical and non-technical senior leaders. Partner with team members to prepare analysis and recommendations for strategic and operational decision-making across a variety of GTM functions. Create and apply standard frameworks to better understand and monitor key business priorities. Contribute solutions to improve monitoring and alert systems for Data and Analytics. Develop quick utility dashboards and reports to help accelerate and scale insights delivery Qualifications Current enrollment in a full-time bachelor's program in Computer Science or a related discipline at an accredited university. Graduating December 2026, or later. Coursework in an analytical field (e.g., Mathematics, Computer Science, Statistics, Business or a related field). Self-starter with a high degree of motivation to go above and beyond the task at hand. Demonstrated passion for connecting the dots, digging deeper to uncover stories and trends in data, with a keen eye for detail. Exceptional verbal and written communication skills and ability to engage effectively at all levels of the organization, to both technical and non-technical audiences. Demonstrated ability to work collaboratively SQL skills with the ability to perform effective querying involving multiple tables and subqueries. Experience with Tableau and/or Power BI (or similar analytical packages) required. Advanced Excel and PowerPoint skills. Experience with R, SAS, or Python a plus. For positions in this location, we offer a base pay of $40.87/hr, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

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 We are seeking a Staff Data Analyst to join our Data Science and Analytics team, focusing on Vehicle Quality and Reliability. This role is a senior technical leader central to our mission, responsible for defining the strategy and architecting the end-to-end data ecosystem that transforms raw vehicle and manufacturing data into actionable insights and predictive models. From the assembly line to the end of the trail, you will be the principal driver of data solutions that safeguard and enhance Rivian's product quality. On our team, you will be instrumental in defining the next generation of data products that provide unparalleled, real-time insight into the reliability and performance of Rivian products. Rivian aims to set industry standards in quality and reliability, and this starts with the data foundations you will build and govern. Responsibilities Data Architecture & Strategy Ownership: Define, champion, and govern the long-term architectural strategy for critical reliability data pipelines and analytical platforms. Ensure solutions are scalable, secure, and meet enterprise-level standards for data integrity and governance. Complex Solution Engineering & Delivery: Lead the design and implementation of highly optimized, complex ETL/ELT pipelines using Python, Spark (PySpark), and cloud services. Solve deep technical challenges related to high-volume, streaming, and unstructured vehicle telematics data. Advanced Business Intelligence & Data Products: Serve as the principal technical expert for complex data retrieval, modeling, and analysis using advanced SQL and data modeling techniques. Define and mentor best practices for developing and deploying mission-critical technical dashboards and data products (e.g., in Hex, Databricks AIBI). Cross-Functional Tooling & Enablement: Drive the development and standardization of scalable analytical applications and internal data self-service tools that significantly improve operational efficiency and data literacy across Engineering and Quality teams. Mentor junior team members on application development standards. Analytical Leadership & Problem Definition: Autonomously investigate, scope, and resolve the most ambiguous and high-impact data problems related to vehicle performance and quality. Lead initial phases of predictive modeling initiatives, defining data features and collaborating closely with Data Scientists to transition prototypes to production. Mentorship & Code Governance: Establish and enforce code quality, data modeling standards, and deployment best practices (CI/CD) within the team. Act as a technical mentor and subject matter expert for junior and mid-level analysts and engineers. Qualifications Deep Experience & Expertise: Typically 6+ years of progressive experience in Data Engineering, Data Analysis, or a related field, demonstrating a sustained track record of leading and delivering complex data solutions. Architectural & System Thinking: Proven ability to translate broad organizational challenges into well-defined, scalable technical roadmaps and data architectures. Technical Mastery: Expert proficiency in SQL and Python, including deep experience with the PySpark/Spark ecosystem for large-scale data processing. Mastery of data manipulation libraries (e.g., pandas) and experience with distributed computing paradigms. Platform Expertise: Extensive experience with modern cloud data platforms (e.g., Databricks, AWS/GCP/Azure data services). Experience with workflow orchestration tools (e.g., Airflow, Prefect). Code & Collaboration Standards: Expert level proficiency with Git and best practices for code collaboration, review, and deployment. Education: A Bachelor's or Master's degree in a quantitative or technical field (e.g., Computer Science, Data Science, Electrical/Mechanical Engineering, Math, Statistics). Pay Disclosure Salary Range/Hourly Rate for California Based Applicants: $149,7000-$187,100 (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary: Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, 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. Deep Experience & Expertise: Typically 6+ years of progressive experience in Data Engineering, Data Analysis, or a related field, demonstrating a sustained track record of leading and delivering complex data solutions. Architectural & System Thinking: Proven ability to translate broad organizational challenges into well-defined, scalable technical roadmaps and data architectures. Technical Mastery: Expert proficiency in SQL and Python, including deep experience with the PySpark/Spark ecosystem for large-scale data processing. Mastery of data manipulation libraries (e.g., pandas) and experience with distributed computing paradigms. Platform Expertise: Extensive experience with modern cloud data platforms (e.g., Databricks, AWS/GCP/Azure data services). Experience with workflow orchestration tools (e.g., Airflow, Prefect). Code & Collaboration Standards: Expert level proficiency with Git and best practices for code collaboration, review, and deployment. Education: A Bachelor's or Master's degree in a quantitative or technical field (e.g., Computer Science, Data Science, Electrical/Mechanical Engineering, Math, Statistics). Data Architecture & Strategy Ownership: Define, champion, and govern the long-term architectural strategy for critical reliability data pipelines and analytical platforms. Ensure solutions are scalable, secure, and meet enterprise-level standards for data integrity and governance. Complex Solution Engineering & Delivery: Lead the design and implementation of highly optimized, complex ETL/ELT pipelines using Python, Spark (PySpark), and cloud services. Solve deep technical challenges related to high-volume, streaming, and unstructured vehicle telematics data. Advanced Business Intelligence & Data Products: Serve as the principal technical expert for complex data retrieval, modeling, and analysis using advanced SQL and data modeling techniques. Define and mentor best practices for developing and deploying mission-critical technical dashboards and data products (e.g., in Hex, Databricks AIBI). Cross-Functional Tooling & Enablement: Drive the development and standardization of scalable analytical applications and internal data self-service tools that significantly improve operational efficiency and data literacy across Engineering and Quality teams. Mentor junior team members on application development standards. Analytical Leadership & Problem Definition: Autonomously investigate, scope, and resolve the most ambiguous and high-impact data problems related to vehicle performance and quality. Lead initial phases of predictive modeling initiatives, defining data features and collaborating closely with Data Scientists to transition prototypes to production. Mentorship & Code Governance: Establish and enforce code quality, data modeling standards, and deployment best practices (CI/CD) within the team. Act as a technical mentor and subject matter expert for junior and mid-level analysts and engineers.

Brilent is a well-funded, award winning startup located in the Silicon Valley. We are building the next-generation, big data talent platform that aims to revolutionize the hiring ecosystem around the world. Our team consists of machine learning and data science experts and recruiting veterans from leading edge companies such as Facebook, LinkedIn, and Microsoft. Job Description As a data scientist intern, you will work alongside our small team of data scientists and engineers to improve our core technology and better serve our customers. Responsibilities Perform large-scale data analysis, find interesting patterns and translate them into product improvements Experiment with different machine learning algorithms and statistical techniques and develop new product initiatives Develop data infrastructure and improve data collection and processing tools and techniques Qualifications Pursuing BS, MS or PhD in Statistics, Applied Mathematics, Computer Science or another quantitative discipline. Advanced degree preferred Proficient in SQL and able to write complex SQL queries Experience with scripting languages such as Java and Python Excellent problem-solving and analytical skills Curious and creative about data, and comfort with ambiguity Additional Information We offer competitive salaries, meals, snacks, etc.

DATA ANALYST IV Performs business and data requirements gathering and data analysis tasks. Works directly with internal customers to understand the business environment and needs. Identifies and documents relevant data design, process and specification issues. Understands business context and problems and communicates them clearly in written and oral format. Works with the business users to understand and document the functionality requirements. Understands fundamental concepts, processes, practices, and procedures of the specific professional or technical assignment or in specialty area. Performs complex tasks where and learns to apply training to practice. Uses established procedures and works independently in support of objectives. Role Requirements: Minimum Qualifications, Knowledge, Skills, and Abilities: Bachelor's Degree in Computer Science, Statistics, Mathematics, or related field. May substitute equivalent combination of education and experience. Years of Experience: 10+ years in data analysis. Proficiency Level Required with MS Office Products: advanced. Experience with one or more of the following: PL/SQL, SQL, SAS, R, Python, Java. Certification for Oracle DBA. Excellent conceptual, analytical and quantitative skills. Strong collaboration skills to work with a diverse set of roles and responsibilities across business and IT. Must be able to effectively communicate with and influence team members at all levels. Work well on a team and individually with the ability to plan and schedule activities to accomplish objectives in dynamic environment. Applicants selected will be subject to a government security investigation and must meet eligibility requirements for a DoD Top Secret/SCI clearance or higher. U. S. Citizenship required per government contract

Moloco builds some of the most powerful AI advertising solutions in the world. Our name-short for "machine learning company"-reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy. Built with AI from day one, Moloco's planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media and Streaming Monetization solutions enable retailers, marketplaces, and streaming platforms to build revenue-generating ad businesses that balance user experience and advertiser performance. Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Bangalore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin. Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now! The Impact You'll Be Contributing to Moloco: Data Science and Analytics (DSA) is the global team of Data Scientists and Analysts. As a Data Science Intern in DSA, you will drive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system, and provide a data driven insight and scientific solution. Some examples of past intern projects are: Work on and improve various components of our ad-tech stack including ranking, retrieval, auction/bidding and budget pacing. Conduct deep-dive analysis to influence R&D decisions and strategies: analyze a large dataset with queries and scripts, extract valuable signals out of noise, and produce actionable insights into how we could optimize Moloco's complex bidding system. Design and deploy advanced optimization approaches to improve our ad-delivery: identifying the best ranking, retrieval and bidding strategies that strike the right balance between ROI and revenue trade-offs. Validating and quantifying the efficiency and performance gain from hypotheses through rigorous simulation and modeling. Developing a robust experiment design and metric framework, and providing reliable and unbiased insights for product and business decision making. Stay up-to-date with the latest researches and developments in experimentation and causal inference, and identify opportunities of applying these techniques to business challenges Minimum Qualifications: Able and willing to work from our Redwood City, CA. office. Must be able to work full-time (40-hours per week) for 12-weeks during the summer of 2026 (May - September). Actively enrolled in a Bachelor's, Master's or PhD program in a technical or quantitative discipline during the internship. Candidates pursuing a Bachelor's or Master's degree must be graduating and obtaining the degree by June of 2027. Preferred Qualifications: Ability to manage multiple projects at the same time while paying attention to detail and translate analysis results into business recommendations. Ability to work independently, owning projects end-to-end, solving problems without much guidance. For more information about our internship program, please visit our site here: Moloco Internship Program. Moloco Thrive: Benefits and Well-Being: We take care of you and create the conditions for you to do the best work of your career. We offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives. Moloco Values: Lead with Humility: Everyone's voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success. Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what's possible. Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value. Go Further Together: We're one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won't let each other fail. Additional Resources: Moloco Company Blog Moloco Leadership Moloco Newsroom Equal Opportunity: Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy. Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law. Candidate Privacy Notice: Your privacy matters to us. By applying, you acknowledge that you've reviewed our Candidate Privacy Notice.

Job DescriptionDescription: Data Analyst & Impact Specialist (DAIS) Type: Full Time, Non-Exempt Reports To: Chief Operating Officer (COO) & Director of Development & Initiatives Salary Range: $62,400 - $80,000 (DOE) Benefits Package: Medical (including acupuncture and chiropractic), dental and vision insurance, FSA, generous vacation, sick leave and holidays, 401k, professional development opportunities and more. Program Background & Strategy Description: The Data Analyst & Impact Specialist (DAIS) is instrumental to Youth Alliance's efforts to sustain its mission. A key member of Youth Alliance's impact team, the DAIS is passionate about YA's mission and can act as a data storyteller whose framework for justice is assets-oriented and systems-oriented to craft narratives about our impact to advance Youth Alliance's transformational work. The DAIS is flexible, detail-oriented, and can connect with and summarize programmatic data. This position involves managing data collection, warehousing, analysis, and reporting. Essential qualities include organization, time management, prioritizing and the ability to handle a complex, varied workload, support data-driven decision making and improve operational efficiency and organizational impact. Serve as the liaison between the organization's leadership team to ensure the availability of impact and business insights data needed to report on our impact, ensure quality assurance, and support compliance efforts. The DAIS ensures there are clear and effective business processes and relationships with other teams across the organization that impact data, learning culture, and contract management. Act as the “data champion” for organization-wide data analytics and help answer important funder questions about YA's impact by collaborating with teams. The ideal candidate is comfortable working in a fast-paced environment. This position reports to the Chief Operating Officer & Director of Development & Initiatives. RESPONSIBILITIES: Data Management, Analytics, Measurement & Impact Acquire and maintain detailed knowledge and understanding of YA and its programs. Oversight of Youth Alliance's Member (client/participant/volunteer) and Donor Database. Assist in developing, managing, and implementing program data evaluations, tools, and systems to collect, analyze, and interpret continuous learning and quality improvement efforts. Lead the Outcomes and Evaluation team by researching best practices in the field for continued programmatic growth. Contract management & compliance by coordinating the collection of, analysis, and reporting of grant/contract requirements. Assist with the development of new ways to explore, report, and interpret quantitative and qualitative information. Actively engage in program impact monitoring to identify best performance and quality improvement practices. Ensure that data is collected on a timely basis, regular reports and information on progress are distributed, and make recommendations for future improvements based on the data. Provide clear and concise presentations and reports to help drive-data driven decision making Revise and update surveys and instruments needed to ensure most accurate program outcomes for all aspects of programs and services Conducts extensive data entry, cleaning for data integrity, and analysis Create and manage reports, dashboards & data visualizations for ad hoc, recurring and yearly reporting analyses including board and funder reports, contracts or compliance, or internally. Design, create, test and deploy reports and dashboards in Caspio for programs and management to review and analyze their portfolios, pipeline, audiences, campaigns, and overall performance. Analysis to include time-series, segmentation/cohort comparisons, and impact analysis. CRM & Data Architecture Catalog, maintain and improve CRM data model along with other data stores critical for operations, data analytics, and data analysis. Work with vendors and other internal data specialists to ensure CRM data is mapped to key systems, data stores, and reporting tools. Manage Salesforce/YA database loads and provide data quality reports and dashboards to ensure CRM is up-to-date, integrations are healthy, and user data entry is valid. CalAIM & CCAH ECM/CS Billing Support YA's integration with CalAIM services, including: Assisting with Enhanced Care Management (ECM) and Community Supports (CS) billing processes. Supporting compliance documentation, billing reconciliation, and internal workflows. Assisting in the development of internal systems, processes, and documentation related to ECM/CS and Parent Education programs. Supporting staff preparation, workflows, and reporting requirements aligned with DHCS, CCAH, and CalAIM expectations. Cross Team Collaboration Serve as CRM data subject matter expert for programs, members, funders, and donor data Extract, transform, and standardize raw data for summarization and presentation Collaboratively create dashboards and visualizations, test hypotheses and develop recommendations for action Evaluate changes that could affect data and communicate impacts to other teams as necessary e.g. youth programs, development team. Support the Fundraising/Development Team as needed (eg., donor reports, dashboards, etc.). Develop new ways to gain insight from data to inform decision making and new tools and modes of data sharing and visualization to best communicate needs, trends, opportunities, and impact. Training Onboard and Train users on how to use the database, prepare reports and analyze dashboards/impact. Train users on data dictionaries, data standards, and analytics. Proactively identify essential changes to business operations to ensure CRM and data is reliable. Adept technical writing skills for training manuals or operational guides. Administration & Compliance File and track member, program data, funders and prospects, ensuring Youth Alliance has up-to-date reporting and stewardship data. Manage and maintain the electronic and hardcopy institutional giving files. Collect and coordinate internal compliance data with auditors and other departments. Supports and maintains accreditation requirements. ESSENTIAL QUALIFICATIONS: Bachelor's degree or equivalent work experience and a minimum of 2 years of data, analytics, reporting, or administrative experience. Passion for the mission of Youth Alliance and belief in upholding organization's core values A passion for educational and racial justice with a strong commitment to social justice, economic justice, and youth empowerment. Understanding of and sensitivity to issues of culture/ethnicity/race, gender, sexual identity, class/SES and immigration status Results driven - i.e., number of members/leaders, campaign victories, visibility. Demonstrated ability to work as a team player and foster collaboration in environments with racial, ethnic, language, immigrant status, and economic class diversity. Excellent interpersonal, communication/writing skills and the ability to interact professionally with a wide range of people (i.e., staff, colleagues, members, and external partners) Ability to read and interpret documents and procedure manuals and to write routine reports. Ability to apply common sense understanding to carry out instructions furnished in written, oral, or diagram form. High degree of accuracy and attention to detail in the performance of administrative tasks The ability to work in a fast paced environment efficiently, meet deadlines, and achieve goals. Excellent problem-solving, organizational and time management skills. Proficiency in training and facilitating meetings and cross functional communication. Oral and written fluency in English - able to communicate across different literacy levels. Ability to analyze, synthesize, and communicate information so that it is useful to people with various learning styles, backgrounds, and life experiences. This position requires flexible hours as some meetings and program activities may occur outside of normal office hours, on weekends, and in various locations within and outside the County. PREFERRED QUALIFICATIONS: Proficiency with G-Suite applications, Mac OS, Windows, and data systems Advanced proficiency in Excel and/or Google Sheets strongly preferred, with demonstrated ability to build, maintain, and optimize complex formulas and functions for data cleaning, analysis, reporting, and impact measurement. This includes multi-sheet workflows, automated calculations, and analytical tools such as nested logic, QUERY, ARRAYFORMULA, INDEX/MATCH, XLOOKUP, pivot tables, dashboards, conditional formatting, and error handling. Experience using task management systems, like Trello or Asana Experience working in a CRM, such as Network for Good, DonorPerfect, Salesforce, or similar Oral and written fluency in the Spanish language - ability to interpret and provide translation. A willingness to make a 2-3-year commitment Ability to work with online data collection tools (e.g. Survey Monkey, JotForm, Google Forms). BENEFITS: Healthcare insurance options, dental, vision, retirement, life insurance policy, FSA (flexible spending account) and more! 11+ PTO Days, 11 Holiday Days YA provides 2 additional "rejuvenation days" in December Professional Development Assistance Employee Assistance Program Yearly Staff Retreat/Team Building, Staff Appreciation events, and other YA Events. Customize your Work Schedule (dependent on supervisor approval based on positional and departmental needs) Opportunity for Employee Referral Bonuses LICENSE/REQUIREMENTS: Reliable transportation with valid CA driver's license, current insurance, and clean DMV record. Driving and travel is required for this position (i.e., to YA facilities, outreach locations, etc.) Ability to obtain CPR/First Aid certification and mandated reporter training. Ability to pass DOJ/FBI background check and TB test (or provide required documentation). WORK ENVIRONMENT & PHYSICAL DEMANDS: Standing, Walking, Pinching and Finger Flexion, and Visual/Auditory Acuity are required constantly (over 2/3 of the workday) Lifting up to 25 pounds, carrying, pushing, pulling, bending, stooping, crouching, kneeling, twisting and sitting are required occasionally (under 1/3 of the workday) Balancing, Climbing and Crawling are generally not required. Ability to perform administrative and computer-based tasks for up to 4.5 hours at a time Requirements: