Data Analyst Internship Jobs in Newark, CA

Job Title: Engineer: Performance - II Contract - W2 Duration: 1+ Year or 18 Months Please share resume on **************************** Job Requirements/Responsibilities: We are seeking a skilled and detail-oriented Chromebook Benchmarking & Pathfinding Data Analyst to join our team. In this role, you will be responsible for performing rigorous benchmarking on Google Chromebooks. You also will be collecting critical path-finding data to evaluate performance. Finally, you will analyze your benchmarking results and communicate your findings to key stakeholders. Your insights will help us identify areas for improvement and drive product optimization on Qualifications: Bachelor's or M.S. degree in Engineering or a related field (Computer Engineering, Software Engineering, or Electrical Engineering preferred). 3 + years' experience Strong experience with Google Chrome OS and a deep understanding of its features, performance capabilities, and potential bottlenecks. Familiar with running benchmarks/workloads on Chromebooks Proficient in analyzing and interpreting technical data and generating actionable insights. Excellent communication skills, both written and verbal Ability to work independently and as part of a team

TITLE: PMO Data Analyst ANTICIPATED DURATION: 12 months We are seeking a highly analytical and detail-oriented PMO Data Analyst to join our team. This role will be responsible for analyzing and managing a portfolio of projects, focusing on strategic planning, resource allocation, and performance monitoring. The ideal candidate will be proficient in data visualization tools such as Tableau, scripting, and spreadsheet calculations to interpret data and provide actionable insights. PMO Analyst Responsibilities: Analyze a large portfolio of projects to ensure alignment with business objectives. Develop reports and dashboards using Tableau and spreadsheets to communicate project performance. Interpret complex datasets to identify trends, risks, and opportunities for improvement. Collaborate with cross-functional teams to support strategic planning and resource allocation. Monitor project performance metrics and provide insights to enhance decision-making. Utilize scripts and automation tools to streamline data analysis processes. PMO Analyst Requirements:4+ years of experience in data analysis within project management, financial planning, or a similar environment. Strong proficiency in Tableau, spreadsheets (Excel, Google Sheets), and data analysis techniques. Ability to translate data into clear, compelling stories for leadership and stakeholders. Experience working with a PMO or within a business data-focused team. Excellent problem-solving and critical-thinking skills. PMO Analyst Preferred Experience: Knowledge of project management methodologies and tools. Experience with scripting languages for automation and data processing. PMP certification is a plus. The hourly pay rate range for this position is $60 to $65 (dependent on factors including but not limited to client requirements, experience, statutory considerations, and location). Benefits available to full-time employees: medical, dental, vision, disability, life insurance, 401k and commuter benefits. Synergis is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, ethnicity, national origin, religion, age, gender, gender identity, political affiliation, sexual orientation, marital status, disability, military/veteran status, or any other status protected by applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the requirements of applicable state and local laws, including but not limited to, the San Francisco Fair Chance Ordinance, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. For immediate consideration, please forward your resume to *********************** If you require assistance or an accommodation in the application or employment process, please contact us at ***********************. Synergis is a workforce solutions partner serving thousands of businesses and job seekers nationwide. Our digital world has accelerated the need for businesses to build IT ecosystems that enable growth and innovation along with enhancing the Total Experience (TX). Synergis partners with our clients at the intersection of talent and transformation to scale their balanced teams of tech, digital and creative professionals. Learn more about Synergis at *******************

Staff Product Analyst Salary: $200K-$240K base + Equity We're hiring a Staff Product Analyst for a hyper-growth, Series E AI company valued at $3B+. This is an opportunity to play a key role in shaping product strategy and growth by leveraging data to drive decisions, optimize user experiences, and unlock new opportunities. What You'll Do: Shape product strategy with data-driven insights - Define key metrics, track user behavior, and identify trends that impact engagement and retention. Deep-dive into user journeys - Uncover friction points and growth levers to enhance adoption, conversion, and retention. Optimize experimentation and A/B testing - Design and analyze tests to improve product features, pricing, and personalization strategies. Develop self-service analytics tools - Build dashboards and automated reporting to empower teams with real-time data. Partner with Product, Engineering & Leadership - Translate complex data into clear, actionable recommendations to improve product performance and business outcomes. What We're Looking For: 7+ years of experience in Product Analytics, preferably within high-growth tech companies. Expert SQL skills and experience working with large-scale product datasets. Proficiency in Python or R, with a strong foundation in statistical analysis and experimentation. Hands-on experience with A/B testing methodologies and user segmentation. Experience with ELT data modeling and BI tools like Looker, Omni, or Hashboard. Strong executive communication skills, with the ability to influence product decisions through data. Thrives in a fast-paced, high-impact environment, with a passion for uncovering insights that drive product growth.

Job Title: Data Analyst - Electric Operations Asset Management Metrics Development Contract Duration: 6+ Months Pay range: $70 - 75/hr Work Type: Hybrid, Local candidates only Our client is seeking a Data Analyst to support data analysis and metric development within our Asset Performance Management (APM) system. The analyst will evaluate available data, identify trends, and define key performance indicators (KPIs) to enhance asset health monitoring and work management. This role will work closely with APM, SAM, and Substation Operations to translate data insights into actionable recommendations. Key Responsibilities: Analyze data from APM to identify patterns and opportunities for new metrics and KPIs. The Data Analyst collaborates with stakeholders to understand business needs and ensure relevant asset health and work management metrics are defined. Perform data validation and quality assurance to ensure accurate and reliable reporting. Provide insights on data trends that impact asset reliability, maintenance strategies, and operational efficiency. Support the development of Power BI reports by providing well-structured data analysis, but will not directly develop dashboards. Work with data engineers to ensure data pipelines and integration processes align with reporting needs. Top Things: Familiarity with AI Data analyst EO experience Job Qualifications: Experience in data analysis, asset management, or maintenance analytics. Proficiency in SQL, Excel, and data visualization tools. Familiarity with APM systems (such as Bentley, Client, or Siemens APM) is a plus. Strong ability to interpret complex datasets and derive actionable insights. Good communication skills to present findings to business and technical stakeholders. Note: A client laptop will be provided Benefits: Medical, Vision, and Dental Insurance Plans 401k Retirement Fund About The Company: Leading natural gas and electric energy company serving millions of customers across the United States. Offers reliable energy delivery and a positive work environment. Join our team and make a difference in your community. About GTT: GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. As a Native American-owned, economically disadvantaged corporation, we highly value diverse and inclusive workplaces. Our clients are Fortune 500 banking, insurance, financial services, and technology companies, along with some of the nation's largest life sciences, biotech, utility, and retail companies across the US and Canada. We look forward to helping you land your next great career opportunity! 25-19574: #LI-GTT #LI-Hybrid #gttutility

Reports To: CEO/Founder Type: Internship (Summer) We are a forward-thinking AI company focused on developing Domain-Specific Artificial Human-Like Assistants (AHLA). Our solutions leverage large language models (LLMs) and innovative alternative architectures to revolutionize industries with high-performance, cost-efficient AI. Through advanced training techniques and model distillation, we aim to reduce the Total Cost of Ownership (TCO) for training and inference by three orders of magnitude, while maintaining or exceeding human-level accuracy in highly specialized domains. As part of this effort, we are looking for an enthusiastic Data Science Intern to join our team for a summer internship. This is an exciting opportunity to get hands-on experience with cutting-edge AI research, machine learning techniques, and domain-specific applications, all while working with industry leaders to improve the accuracy, efficiency, and ethical standards of AI solutions. Position Overview As a Data Science Intern, you will assist in developing innovative data strategies and machine learning algorithms that optimize domain-specific AI models. You will work closely with the data science team to improve model accuracy, ensure data privacy, and help design scalable, high-performance AI models. This internship will provide exposure to real-world data science challenges in AI and offer a chance to learn from experienced professionals in the field. Key Responsibilities Data Strategy & Management: Assist in processing and cleaning domain-specific datasets to ensure accuracy and quality. Contribute to the development of data pipelines and frameworks for analyzing large datasets. Collaborate with the team to extract value from industry-specific data for model training and optimization. Privacy & Compliance: Help ensure that data collection, processing, and model training comply with privacy regulations (e.g., GDPR, HIPAA). Assist in developing privacy-preserving techniques such as federated learning and differential privacy. Model Training & Accuracy Improvement: Contribute to research on advanced machine learning algorithms for improving the accuracy and efficiency of AI models. Assist with applying techniques like distillation, transfer learning, and model compression to optimize AI models for specific domains. Client Engagement & Domain Expertise: Support client engagement efforts by understanding data needs and helping create AI models that meet specific business objectives. Help communicate complex data science concepts to non-technical stakeholders. TCO Optimization: Collaborate with technical teams to optimize model training, data processing, and inference for reduced Total Cost of Ownership (TCO). Explore cost-efficient data utilization strategies while maintaining model performance and accuracy. Research & Innovation: Stay informed about the latest advancements in machine learning, AI, and data science. Assist in evaluating new techniques, algorithms, and architectures for enhancing domain-specific AI models. Qualifications Education: Currently pursuing a Bachelor's, Master's, or Ph.D. in Data Science, Machine Learning, Computer Science, or a related field. Experience: Strong interest in machine learning, AI, and data science. Familiarity with data processing tools and techniques (e.g., Python, Pandas, TensorFlow, PyTorch). Basic understanding of machine learning algorithms, model evaluation, and optimization techniques. Exposure to privacy issues, compliance regulations (e.g., GDPR, HIPAA), and ethical AI is a plus. Skills & Expertise: Strong analytical and problem-solving skills. Experience with large-scale data cleaning, transformation, and analysis. Excellent communication skills with the ability to explain complex data science concepts to both technical and non-technical teams. Personal Attributes: Passion for AI and data science, and a strong desire to learn and innovate. Collaborative mindset with a focus on team success. Self-motivated, organized, and able to work independently when needed. Why Join Us? Work with a talented, passionate team at the cutting edge of AI and data science. Gain hands-on experience working with industry-specific data and applying machine learning algorithms to real-world challenges. Receive mentorship and guidance from experts in the field, with exposure to both the technical and strategic aspects of AI research. Competitive internship compensation and the potential for future opportunities within the company. This internship is an excellent opportunity for students or early-career professionals looking to gain practical experience in AI, machine learning, and data science, while contributing to the development of highly impactful AI technologies. How to apply Send your resume to ************************

• The Research Analyst will analyze economic, demographic, and real estate data and trends for Polaris Pacific's developer and investor clients. Using this data, the analyst will develop custom reports for developers and financial institutions on the feasibility and highest and best use of future residential developments. • Using Tableau and other data visualization software, the Research Analyst will prepare compelling visualizations and stories highlighting specific real estate trends. • The Research Analyst will also help maintain our existing monthly condominium market research reports. The reports analyze overall condominium market trends and the performance of new condominium communities in 8 urban markets of the West Coast. • The Analyst will also be responsible for creating pricing models for apartment and condominium developments. • Working with architectural plans, pricing models, and fieldwork, the Research Analyst will gain valuable, hands-on experience in residential real estate development.

Research Engineer Intern, Evaluations & Benchmarks TensorStax is building fully autonomous AI systems to manage and optimize mission-critical data infrastructure. Our research integrates reinforcement learning and language models to enhance reasoning over large-scale data lakes and warehouses, detect failures in pipelines, and autonomously construct and optimize data workflows with high precision. We are looking for a Research Engineer Intern to design evaluation frameworks and benchmarks that assess the autonomy, adaptability, and reliability of AI agents in data engineering environments. This role is ideal for candidates passionate about AI evaluations, language model benchmarking, and autonomous data systems. What You'll Do: Develop evaluation environments to test AI agents' ability to reason, plan, and act autonomously within mission-critical data pipelines. Design benchmarks to assess model capabilities in failure detection, pipeline optimization, and agentic decision-making in data workflows. Implement automated assessment frameworks for language model-based agents operating over data lakes and warehouses. Work with synthetic and real-world datasets to create robust testing environments for AI-driven data automation. Collaborate with research engineers to refine reward shaping strategies, guiding models toward more efficient and agentic behaviors in data-intensive tasks. What We're Looking For: Experience in language model research, with a focus on benchmarking LLMs in mission-critical domains. Strong background in AI evaluation methodologies, reinforcement learning, and RLHF techniques. Familiarity with benchmarking language models for structured and unstructured data tasks. Proficiency in Python and experience with ML frameworks like PyTorch or JAX. Hands-on experience with data lakes, warehouses, and data engineering tools (Snowflake, BigQuery, dbt, Spark, Kafka). High agency-proactive, resourceful, and comfortable working in a fast-paced research environment with minimal supervision. Attention to detail-ability to design rigorous, reproducible experiments and evaluations. Bonus Points: Contributions to open-source AI benchmarks (e.g., SweBench, BIRD, SPIDER). Contributions to open-source agentic frameworks. Experience developing custom RL environments for AI evaluation. Strong understanding of ETL, ELT, and data transformation pipelines. Benefits: Competitive internship stipend. 100% employer-covered health, dental, and vision insurance (for eligible interns). Access to Bay Club or Equinox in San Francisco. Opportunity to work at the cutting edge of AI evaluations and autonomous data engineering research.

About Tekgence: TEKgence, a group of $100 + Million revenue consulting firm, we pride ourselves on a global presence and great work culture that ensures long-term success for both our clients and consultants. We have offices in Dallas, TX; St. Louis, MO; Hyderabad, Noida, and Pune in India; London, UK; and Ontario, Canada. Ranked as one of the SIA Top 30 staffing companies in the USA and certified as a Great Place to Work for continuous 3 Years, we are committed to fostering an inclusive and growth-oriented work culture. Join us to be part of a trusted, innovative organization that empowers your professional journey. Job Title: MDM Analyst Location: Watsonville, CA (Onsite 8 am-5 pm PST) Duration: 04 Months The MDM tech lead will help in cleansing the data for Aurora's mock conversion cycles. The candidate will address the organization's data quality requirements and align with its business objectives. The candidate will design and implement sustainable data cleansing processes to address data quality issues, such as duplicates, inconsistencies, and inaccuracies. The candidate will also participate in discussions with boundary applications related to master data. Key Responsibilities: Designing MDM solutions that address the organization's data quality requirements and align with its business objectives. This includes defining data models and metadata structures. Data Quality Framework: Develop and implement data quality frameworks, standards, and best practices tailored to Driscoll's needs. Define data quality metrics and thresholds to measure and monitor data quality levels over time. Data Cleansing and Remediation: Design and implement sustainable data cleansing processes to address data quality issues, such as duplicates, inconsistencies, and inaccuracies. Establishing metadata repositories and frameworks to capture and manage metadata related to master data entities, attributes, and relationships. Ensuring metadata integrity and alignment with data quality standards. Lead the interface discussions pertaining to master data with different applications Job Requirements: Strong understanding of Oracle MDM concepts, principles, and best practices in the customer and supplier module. Have extensive expertise on TCA architecture. Proven experience as an Oracle MDM technical lead or similar role, with a focus on data quality management Strong knowledge of data quality frameworks, best practices, tools, and techniques Participate in SIT, UAT, and Go-Live to represent MDM Experience with the Oracle Fusion cloud platform is a must Excellent analytical, problem-solving, and communication skills. "Tekgence is an equal opportunity employer. Applicants must be authorized to work in the U.S. U.S. citizens and Green Card holders are strongly encouraged to apply."

⚡ tl;dr Help us get more promising new drugs to market, while helping patients access life changing medicine. Work directly with one of our cofounders to: solve crucial problems across the marketplace, develop our data infrastructure, and build out a broader data team. Join a rapidly growing company (we've ~10x'd in the past 3 quarters) while we're still just a tight-knit team of ~27. Own a number of high-impact data science initiatives across the marketplace: how might we systematize supply-demand balancing; which patients should clinics call first; etc. Work with a product team where everyone writes their own queries, and as a result where Data's role is to provide them leverage (via better infra, models, etc etc). 🧬 Let's accelerate medical innovation At Power, we're making clinical trials easy to navigate for all patients. Today, patients look to promising medical research when standard treatments have failed them. Unfortunately, there is no single source of truth that patients can understand and trust. The status quo is a government run website which is written in complex medical jargon that is impossible for most people to navigate. At the same time, clinical trials are the bottleneck on medical innovation-new medicine takes almost 10 years to test and over 86% of all clinical trials are delayed because they can't find enough patients. This is one of the biggest problems facing the life science industry. Power is the easiest way for patients to access promising new studies. Thus helping more patients find treatments and speeding up the progress of medical research as we go. 🏹 The role We're looking for our first data hire at Power. Up until now, we've operated without a data team by ensuring the product org is able to write their own queries. While this worked well as an early stage company, as we continue to scale we're professionalizing the data function in order to ensure we're learning as much as we can, as fast as we can. Plus, many of the most-impactful product surface areas today are ones where a deeper data science lens would help. To this end, the most important piece of this role is working closely with Power's cofounders to ensure our product teams have a complete grasp of key insights: both by directly contributing to our most-important data-problems, and by building systems that better enable other users to self-serve. From there this role could lean one of few ways: You could scale into a Head of Data role and build out a team here. You could lean further into Data Engineering and build a deep expertise here. You could shift your focus further towards product, and eventually be a key contributor within the product org. 🤔 Some of the problems we'll be working on We don't believe in strict job requirements, but if these problems sound fun and familiar, you're probably well suited for this gig: Building our ranking system that recommends which patient a clinic should call next. Elevating our current systems for balancing supply and demand across the marketplace. Conducting a ‘magic moment' analysis to determine what makes sites on our platform successful Challenging our thinking re: the best possible outputs & leading indicators for us to be monitoring across each of our product streams Codifying user segments in our analysis, such that we can quickly understand which user-groups are best served by new features. Analyzing gaps in ‘self-reported' and ‘EMR-reported' patient attributes, to better understand which questions our patients can reliably answer. Building intuitive views for our demand-side and patient-side user segments, so that our team can analyze feature-product fit across segments. 🎯 About you You've spent a considerable part of your professional life analyzing data. You're probably intimately familiar with both SQL and (Python or R). You're energized by the process of ‘finding out': you take real pleasure in uncovering novel insights & shaping your colleagues' understanding of the world. You're exceptional at communicating data: you're able to imagine intuitive reports & to distill down key findings in a way that non-technical team members can understand. You've demonstrated the ability to contribute strategically, by translating discoveries into recommendations for the broader business. You're wholly comfortable both leading your own analysis and maintaining your own tooling + data stack. This autonomy is something you're excited about, not something that's daunting. You can drive projects independently or work in a highly collaborative, x-functional manner. You naturally balance speed, craft, and business goals. 🌟Nice to haves You have a personal connection to the space: much of our team has close family or friends who've interacted with clinical research from the patient perspective. You have a deep familiarity with marketplace businesses, clinical research, or health tech more broadly. You've led data teams of a larger scale, and will be able to help us see around corners. You have some other ‘spike' or unique strength that would round us out! We're always looking for complementary skills & experiences. You like to dive into the lit in your personal life - whether it be for sleep, nutrition, supplements, or something else entirely. 🔎 The product Power is the most patient-friendly marketplace resource for clinical trials. Comprehensive: we make it easy to search across every trial in North America so patients never feel like they have blind spots Simple: we apply a healthy amount of data engineering and empathy to the reams of unstructured medical data on clinical trials to simplify things for patients that are trying to evaluate potential trials Connected: we help patients proactively reach out to the researchers directly and researchers love connecting with motivated patients ✉️ If this sounds like your kind of adventure We'd love to hear from you. Email ******************

Who we are We're a small, early-stage startup in the Bay Area building AI tools that help content creators work smarter. We're looking for curious, entrepreneurial students who are passionate about content creation or AI. This is an unpaid position, but you'll get hands-on educational experience with: How early-stage startups acquire their early users How to analyze user feedback and turn it into product improvements Building and engaging online communities Creating content that drives user growth Startup networking and entrepreneurship skills What You'll Do Day-to-Day Help us grow our user base in online communities Create engaging social media content Talk to creators and understand their pain points Brainstorm and test growth ideas Learn about product marketing and conversion optimization Connect with creators and build relationships Who You Are Currently pursuing an undergraduate or graduate (any major - we care about hustle, not your degree) Active on social media and familiar with creator culture Outgoing and comfortable talking to people Creative and full of ideas Bonus: Connected to creator communities and/or experience creating content or running social accounts Extra Bonus: Bilingual fluency in English and Mandarin Chinese The Details Location: Bay Area preferred, remote possible Hours: Flexible (10-20 hours/week) Duration: 1-3 months Compensation: Unpaid How to Apply Try out our platform (sign up at thechaos.ai) Send us a note with: What you think works and doesn't work about our product Your favorite YouTube channel and why What you hope to learn from this internship *Note: This unpaid internship is designed as a learning experience. We'll teach you real startup skills, give you meaningful responsibility, and help you build connections in tech. Perfect for students interested in entrepreneurship, product development, or the creator economy.

The Strategic Finance team provides financial insights and guidance to support the organization's long-term goals and strategies. We partner across the business to allocate and deploy our resources for the highest-impact outcomes. The GTM Strategic Finance team specializes in managing the financial performance of our B2B products and GTM functions, ensuring alignment between financial objectives and company strategy. We focus on operational and financial planning, delivering actionable insights into GTM performance, and optimizing strategic resource allocation to accelerate growth. About the Role We are hiring a Strategic Finance Lead to own and manage the financial performance of our marketing efforts, directly supporting our Chief Marketing Officer. You will provide critical insights and recommendations on financial planning, budget allocation, and ROI optimization. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Lead financial forecasting, planning, and reporting processes for the marketing function, ensuring alignment with company-wide goals. Own the end-to-end financial management of the marketing budget, including Brand and Paid Marketing spend, ensuring efficient resource allocation. Collaborate with marketing leadership to develop and refine data-driven customer acquisition strategies for both B2C and B2B segments. Build and manage financial models to evaluate marketing investments, identify risks and opportunities, and measure performance. Partner cross-functionally with other finance leaders, analytical teams, and product areas to align marketing efforts with broader company objectives. Prepare and present financial results and strategic insights to executive leadership, influencing key business decisions. Establish and manage key ROI and efficiency metrics across products and channels, and regularly analyze and report on these metrics to drive continuous improvement and operational excellence. Analyze market trends and competitive dynamics to inform financial strategies, identifying new opportunities and challenges. You might thrive in this role if you have: 12+ total years of progressive experience in investment banking, private equity, venture capital, management consulting, or related fields, coupled with operational experience in a high growth, scaling company. 5+ years in relevant roles partnering with Marketing and GTM orgs. Familiarity with marketing across both B2C and B2B business models is a plus. Expertise in managing large, complex budgets and delivering actionable insights from data. A passion for helping build world-class Marketing teams. A strong ability to critically evaluate key levers, opportunities, and risks in Marketing plans. A proven track record of building strong, collaborative relationships with business partners and executives. You are seen as a trusted and objective advisor. Deep analytical rigor and financial modeling skills, focused on distilling complex financial information into actionable insights for leadership. Excellent communication skills and storytelling ability when presenting data insights. An enthusiastic "roll up your sleeves" mentality and an ability to deal effectively with ambiguity to thrive in an unstructured, fast-paced environment. Experience partnering with Data Science teams. You must have familiarity with SQL or a willingness to learn. Strong enthusiasm about technology and artificial intelligence. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

You will work with a small but very elite team. Our team members have over 20 years experience on AI and robotics. We have founded several tech companies before, and have Y Combinator alumni and industry veteran executives as our advisors. We have raised seed investment from a couple of reputable VCs, including robotic expert Pieter Abbeel and early investor of Zoom. We value creativity and responsibility, we manage the company with high transparency. You will be working on marketing of Beagle's agriculture robotic solutions. An ideal candidate is a marketing major student who has relevant working experience. Agriculture related experience is a big plus. Basic Qualifications BS or above degree in marketing, business, agriculture Responsibilities Develop marketing materials for Beagle's solution. Reach out to new customers and attend trade shows. Visit current customers to understand customer experience and problems.

Staff Product Analyst Salary: $200K-$240K base + Equity We're hiring a Staff Product Analyst for a hyper-growth, Series E AI company valued at $3B+. This is an opportunity to play a key role in shaping product strategy and growth by leveraging data to drive decisions, optimize user experiences, and unlock new opportunities. What You'll Do: Shape product strategy with data-driven insights - Define key metrics, track user behavior, and identify trends that impact engagement and retention. Deep-dive into user journeys - Uncover friction points and growth levers to enhance adoption, conversion, and retention. Optimize experimentation and A/B testing - Design and analyze tests to improve product features, pricing, and personalization strategies. Develop self-service analytics tools - Build dashboards and automated reporting to empower teams with real-time data. Partner with Product, Engineering & Leadership - Translate complex data into clear, actionable recommendations to improve product performance and business outcomes. What We're Looking For: 7+ years of experience in Product Analytics, preferably within high-growth tech companies. Expert SQL skills and experience working with large-scale product datasets. Proficiency in Python or R, with a strong foundation in statistical analysis and experimentation. Hands-on experience with A/B testing methodologies and user segmentation. Experience with ELT data modeling and BI tools like Looker, Omni, or Hashboard. Strong executive communication skills, with the ability to influence product decisions through data. Thrives in a fast-paced, high-impact environment, with a passion for uncovering insights that drive product growth.

• The Research Analyst will analyze economic, demographic, and real estate data and trends for Polaris Pacific's developer and investor clients. Using this data, the analyst will develop custom reports for developers and financial institutions on the feasibility and highest and best use of future residential developments. • Using Tableau and other data visualization software, the Research Analyst will prepare compelling visualizations and stories highlighting specific real estate trends. • The Research Analyst will also help maintain our existing monthly condominium market research reports. The reports analyze overall condominium market trends and the performance of new condominium communities in 8 urban markets of the West Coast. • The Analyst will also be responsible for creating pricing models for apartment and condominium developments. • Working with architectural plans, pricing models, and fieldwork, the Research Analyst will gain valuable, hands-on experience in residential real estate development.

⚡ tl;dr Help us get more promising new drugs to market, while helping patients access life changing medicine. Work directly with one of our cofounders to: solve crucial problems across the marketplace, develop our data infrastructure, and build out a broader data team. Join a rapidly growing company (we've ~10x'd in the past 3 quarters) while we're still just a tight-knit team of ~27. Own a number of high-impact data science initiatives across the marketplace: how might we systematize supply-demand balancing; which patients should clinics call first; etc. Work with a product team where everyone writes their own queries, and as a result where Data's role is to provide them leverage (via better infra, models, etc etc). 🧬 Let's accelerate medical innovation At Power, we're making clinical trials easy to navigate for all patients. Today, patients look to promising medical research when standard treatments have failed them. Unfortunately, there is no single source of truth that patients can understand and trust. The status quo is a government run website which is written in complex medical jargon that is impossible for most people to navigate. At the same time, clinical trials are the bottleneck on medical innovation-new medicine takes almost 10 years to test and over 86% of all clinical trials are delayed because they can't find enough patients. This is one of the biggest problems facing the life science industry. Power is the easiest way for patients to access promising new studies. Thus helping more patients find treatments and speeding up the progress of medical research as we go. 🏹 The role We're looking for our first data hire at Power. Up until now, we've operated without a data team by ensuring the product org is able to write their own queries. While this worked well as an early stage company, as we continue to scale we're professionalizing the data function in order to ensure we're learning as much as we can, as fast as we can. Plus, many of the most-impactful product surface areas today are ones where a deeper data science lens would help. To this end, the most important piece of this role is working closely with Power's cofounders to ensure our product teams have a complete grasp of key insights: both by directly contributing to our most-important data-problems, and by building systems that better enable other users to self-serve. From there this role could lean one of few ways: You could scale into a Head of Data role and build out a team here. You could lean further into Data Engineering and build a deep expertise here. You could shift your focus further towards product, and eventually be a key contributor within the product org. 🤔 Some of the problems we'll be working on We don't believe in strict job requirements, but if these problems sound fun and familiar, you're probably well suited for this gig: Building our ranking system that recommends which patient a clinic should call next. Elevating our current systems for balancing supply and demand across the marketplace. Conducting a ‘magic moment' analysis to determine what makes sites on our platform successful Challenging our thinking re: the best possible outputs & leading indicators for us to be monitoring across each of our product streams Codifying user segments in our analysis, such that we can quickly understand which user-groups are best served by new features. Analyzing gaps in ‘self-reported' and ‘EMR-reported' patient attributes, to better understand which questions our patients can reliably answer. Building intuitive views for our demand-side and patient-side user segments, so that our team can analyze feature-product fit across segments. 🎯 About you You've spent a considerable part of your professional life analyzing data. You're probably intimately familiar with both SQL and (Python or R). You're energized by the process of ‘finding out': you take real pleasure in uncovering novel insights & shaping your colleagues' understanding of the world. You're exceptional at communicating data: you're able to imagine intuitive reports & to distill down key findings in a way that non-technical team members can understand. You've demonstrated the ability to contribute strategically, by translating discoveries into recommendations for the broader business. You're wholly comfortable both leading your own analysis and maintaining your own tooling + data stack. This autonomy is something you're excited about, not something that's daunting. You can drive projects independently or work in a highly collaborative, x-functional manner. You naturally balance speed, craft, and business goals. 🌟Nice to haves You have a personal connection to the space: much of our team has close family or friends who've interacted with clinical research from the patient perspective. You have a deep familiarity with marketplace businesses, clinical research, or health tech more broadly. You've led data teams of a larger scale, and will be able to help us see around corners. You have some other ‘spike' or unique strength that would round us out! We're always looking for complementary skills & experiences. You like to dive into the lit in your personal life - whether it be for sleep, nutrition, supplements, or something else entirely. 🔎 The product Power is the most patient-friendly marketplace resource for clinical trials. Comprehensive: we make it easy to search across every trial in North America so patients never feel like they have blind spots Simple: we apply a healthy amount of data engineering and empathy to the reams of unstructured medical data on clinical trials to simplify things for patients that are trying to evaluate potential trials Connected: we help patients proactively reach out to the researchers directly and researchers love connecting with motivated patients ✉️ If this sounds like your kind of adventure We'd love to hear from you. Email ******************

Research Engineer Intern, Evaluations & Benchmarks TensorStax is building fully autonomous AI systems to manage and optimize mission-critical data infrastructure. Our research integrates reinforcement learning and language models to enhance reasoning over large-scale data lakes and warehouses, detect failures in pipelines, and autonomously construct and optimize data workflows with high precision. We are looking for a Research Engineer Intern to design evaluation frameworks and benchmarks that assess the autonomy, adaptability, and reliability of AI agents in data engineering environments. This role is ideal for candidates passionate about AI evaluations, language model benchmarking, and autonomous data systems. What You'll Do: Develop evaluation environments to test AI agents' ability to reason, plan, and act autonomously within mission-critical data pipelines. Design benchmarks to assess model capabilities in failure detection, pipeline optimization, and agentic decision-making in data workflows. Implement automated assessment frameworks for language model-based agents operating over data lakes and warehouses. Work with synthetic and real-world datasets to create robust testing environments for AI-driven data automation. Collaborate with research engineers to refine reward shaping strategies, guiding models toward more efficient and agentic behaviors in data-intensive tasks. What We're Looking For: Experience in language model research, with a focus on benchmarking LLMs in mission-critical domains. Strong background in AI evaluation methodologies, reinforcement learning, and RLHF techniques. Familiarity with benchmarking language models for structured and unstructured data tasks. Proficiency in Python and experience with ML frameworks like PyTorch or JAX. Hands-on experience with data lakes, warehouses, and data engineering tools (Snowflake, BigQuery, dbt, Spark, Kafka). High agency-proactive, resourceful, and comfortable working in a fast-paced research environment with minimal supervision. Attention to detail-ability to design rigorous, reproducible experiments and evaluations. Bonus Points: Contributions to open-source AI benchmarks (e.g., SweBench, BIRD, SPIDER). Contributions to open-source agentic frameworks. Experience developing custom RL environments for AI evaluation. Strong understanding of ETL, ELT, and data transformation pipelines. Benefits: Competitive internship stipend. 100% employer-covered health, dental, and vision insurance (for eligible interns). Access to Bay Club or Equinox in San Francisco. Opportunity to work at the cutting edge of AI evaluations and autonomous data engineering research.

Who we are We're a small, early-stage startup in the Bay Area building AI tools that help content creators work smarter. We're looking for curious, entrepreneurial students who are passionate about content creation or AI. This is an unpaid position, but you'll get hands-on educational experience with: How early-stage startups acquire their early users How to analyze user feedback and turn it into product improvements Building and engaging online communities Creating content that drives user growth Startup networking and entrepreneurship skills What You'll Do Day-to-Day Help us grow our user base in online communities Create engaging social media content Talk to creators and understand their pain points Brainstorm and test growth ideas Learn about product marketing and conversion optimization Connect with creators and build relationships Who You Are Currently pursuing an undergraduate or graduate (any major - we care about hustle, not your degree) Active on social media and familiar with creator culture Outgoing and comfortable talking to people Creative and full of ideas Bonus: Connected to creator communities and/or experience creating content or running social accounts Extra Bonus: Bilingual fluency in English and Mandarin Chinese The Details Location: Bay Area preferred, remote possible Hours: Flexible (10-20 hours/week) Duration: 1-3 months Compensation: Unpaid How to Apply Try out our platform (sign up at thechaos.ai) Send us a note with: What you think works and doesn't work about our product Your favorite YouTube channel and why What you hope to learn from this internship *Note: This unpaid internship is designed as a learning experience. We'll teach you real startup skills, give you meaningful responsibility, and help you build connections in tech. Perfect for students interested in entrepreneurship, product development, or the creator economy.

Staff Product Analyst Salary: $200K-$240K base + Equity We're hiring a Staff Product Analyst for a hyper-growth, Series E AI company valued at $3B+. This is an opportunity to play a key role in shaping product strategy and growth by leveraging data to drive decisions, optimize user experiences, and unlock new opportunities. What You'll Do: Shape product strategy with data-driven insights - Define key metrics, track user behavior, and identify trends that impact engagement and retention. Deep-dive into user journeys - Uncover friction points and growth levers to enhance adoption, conversion, and retention. Optimize experimentation and A/B testing - Design and analyze tests to improve product features, pricing, and personalization strategies. Develop self-service analytics tools - Build dashboards and automated reporting to empower teams with real-time data. Partner with Product, Engineering & Leadership - Translate complex data into clear, actionable recommendations to improve product performance and business outcomes. What We're Looking For: 7+ years of experience in Product Analytics, preferably within high-growth tech companies. Expert SQL skills and experience working with large-scale product datasets. Proficiency in Python or R, with a strong foundation in statistical analysis and experimentation. Hands-on experience with A/B testing methodologies and user segmentation. Experience with ELT data modeling and BI tools like Looker, Omni, or Hashboard. Strong executive communication skills, with the ability to influence product decisions through data. Thrives in a fast-paced, high-impact environment, with a passion for uncovering insights that drive product growth.

• The Research Analyst will analyze economic, demographic, and real estate data and trends for Polaris Pacific's developer and investor clients. Using this data, the analyst will develop custom reports for developers and financial institutions on the feasibility and highest and best use of future residential developments. • Using Tableau and other data visualization software, the Research Analyst will prepare compelling visualizations and stories highlighting specific real estate trends. • The Research Analyst will also help maintain our existing monthly condominium market research reports. The reports analyze overall condominium market trends and the performance of new condominium communities in 8 urban markets of the West Coast. • The Analyst will also be responsible for creating pricing models for apartment and condominium developments. • Working with architectural plans, pricing models, and fieldwork, the Research Analyst will gain valuable, hands-on experience in residential real estate development.