Data science internship jobs in Richmond, CA - 1,037 jobs

Location: Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. EY-Parthenon - EY Growth Platforms - Data Scientist - Director The opportunity EY-Parthenon's unique combination of transformative strategy, transactions and corporate finance delivers real-world value - solutions that work in practice, not just on paper. Benefiting from EY's full spectrum of services, we've reimagined strategic consulting to work in a world of increasing complexity. With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way - enabling you to shape your future with confidence. Within the EY-Parthenon service line, the EY Growth Platforms Data Scientist Director will collaborate with Business Leaders, AI/ML Engineers, Project Managers, and other team members to design, build, and scale innovative AI solutions that power strategic growth initiatives and create enterprise value for F500 clients. Your key responsibilities The EY Growth Platforms Data Scientist Director will play a critical role building and scaling our multi-source data pipelines- sourcing, merging, and transforming data assets that power high-visibility client engagements. This role will architect, clean, transform, and enrich data to power AI/ML-driven agents and dashboards, and collaborate with Business leaders and C-level executives to get hands‑on experience solving some of the most interesting and mission‑critical business questions with data. Skills and attributes for success Lead ingestion and ETL design for structured and semi‑structured data (CSV, JSON, APIs, Flat Files). Understand schema, data quality, and transformation logic for multiple sources on a client‑by‑client like NAIC, NOAA, Google Trends, EBRI, Cannex, LIMRA, and internal client logs. Design normalization and joining pipelines across vertical domains (insurance + consumer + economic data). Build data access layers optimized for ML (feature stores, event streams, vector stores). Define and enforce standards for data provenance, quality checks, logging, and version control. Partner with AI/ML and Platform teams to ensure data is ML‑ and privacy‑ready (HIPAA, SOC2, etc.). To qualify for the role you must have A bachelor's degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience. Experience in data engineering or hybrid data science roles focused on pipeline scalability and schema management. Expertise in cloud‑native data infrastructure (e.g., GCP/AWS, Snowflake, BigQuery, Databricks, Delta Lake). Strong SQL/Python/Scala proficiency and experience with orchestration tools (Airflow, dbt). Experience with merging and reconciling third‑party data (public APIs, vendor flat files, dashboards). Comfort defining semantic layers and mapping unstructured/dirty datasets into usable models for AI/BI use. Basic understanding of ML/feature pipelines and downstream modeling needs. The ability and willingness to travel and work in excess of standard hours when necessary. Ideally, you will have Experience working in a startup and/or management/strategy consulting. Knowledge of how to leverage AI tools in a business setting, including Microsoft Copilot. Collaborative, problem‑solving, and growth‑oriented mindset. What we look for We're interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you. What we offer you At EY, we'll develop you with future‑focused skills and equip you with world‑class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more. We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $205,000 to $235,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on‑going basis. For those living in California, please click here for additional information. EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** . #J-18808-Ljbffr

A healthcare solutions company seeks an Analyst in San Francisco. You'll analyze healthcare data, build dashboards, and provide actionable insights to leadership. Ideal candidates have 2+ years in analytical roles and should be proficient in SQL and Excel. This position offers the chance to make a significant impact as the first analyst in a fast-paced environment, with opportunities for growth and innovation in consumer healthcare. #J-18808-Ljbffr

Salary: $200-250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We're looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel. About the Role As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth. Key Responsibilities Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections. Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates. Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives. Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects. Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions. Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting. Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations. About You Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments. Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning. Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions. Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy. Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams. Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.

BI Data Analyst (BI Tableau, SQL, Python) **Prefer candidates who can work on W2** (No for C2C arrangements) Onsite in Sunnyvale, CA / Austin, TX / Elk Grove, CA from Day 1 (Client prefer local folks) Hybrid Schedule: 3 Onsite Days (Tue, Wed, Thur) & 2 Remote Days (Mon, Fri) Long term contract Direct client opportunity No mid layer / No Implementation partners are Involved Job Description: Clients focus more on Business Intelligence skills, less complex analysis. Please make sure that candidates have been using Tableau, SQL, and Python on a weekly basis for the past 5+ years Excellent communication is essential Requires working knowledge of probability theory and statistical analysis. This role will: Use Tableau to create visualizations to be used in interactive dashboards and presentations. Use SQL to manipulate and prepare data Use Python to manipulate and prepare data; create visualizations; analyze data. Require a working knowledge of formal statistical analysis and causal modeling. Require excellent communication skills Skill Sets - Experience - Preference Tableau - 5-10 years - Is Required SQL - 5-10 years - Is Required Python - 5-10 years - Is Required Statistical analysis - 5-10 years - Is Required Verbal Communication - 5-10 years - Is Required Written Communication - 5-10 years - Is Required Attention to Detail - 5-10 years - Is Required Pay Range: $65/hr - $70/hr The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at ***************. To report any concerns, please email us at *******************

At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Gilead's AI Research Center(ARC) is looking for a Principal Data Scientist to spearhead the adoption of AI/ML and transform our clinical development processes. This is a pivotal role where you will provide key thought leadership and drive our strategic vision for advanced analytics, with the goal of optimizing clinical trials, enhancing data-driven decision-making, and providing support for Real-World Evidence (RWE), Clinical Pharmacology, and Biomarkers initiatives. You will be a thought leader in applying AI/ML to real-world clinical challenges, taking deep involvement in all stages of technical development-from coding and configuring compute environments to model evaluation, review, and architecture design. You'll work closely with a variety of cross-functional teams, including architects, data engineers, and product managers, to scope, develop, and operationalize our AI-driven applications, with a specific focus on leveraging AI/ML to advance insights within RWE, Clinical Pharmacology, and Biomarkers. Responsibilities: Innovate and Strategize: Spearhead the strategic vision for leveraging AI/ML within clinical development. You'll partner with cross-functional leaders to identify high-impact opportunities and design innovative solutions that transform how we conduct trials and make data-driven decisions. Lead with Expertise: Guide the full lifecycle of machine learning models from initial concept to real-world application. This includes architecting scalable solutions, hands-on algorithm development, and ensuring models are rigorously evaluated and operationalized for use in RWE, Clinical Pharmacology, and Biomarkers. Mentor and Empower: Act as a force multiplier for our data science team. You'll coach and mentor senior and junior data scientists, fostering a culture of technical excellence and continuous learning. Translate and Execute: Serve as a bridge between technical teams and business stakeholders. You'll translate complex business challenges into precise data science problems and, in a product manager-like role, drive the development of these solutions from proof-of-concept to production. Drive Breakthroughs: Research and develop cutting-edge algorithms to solve critical challenges. This could involve using NLP for patient insights, computer vision for biomarker analysis, or predictive models to optimize trial logistics. You'll be at the forefront of applying these techniques in a biotech context. Build the Foundation: Design and implement the technical and process building blocks needed to scale our AI/ML capabilities. This includes working with IT partners to curate and operationalize the datasets essential for fueling our analytical pipelines. Influence and Advise: Interface directly with internal stakeholders, acting as a trusted advisor to help them understand the potential of advanced analytics and apply data-driven approaches to optimize clinical trial operations. Stay Ahead: Continuously monitor the landscape of machine learning and biopharmaceutical innovation. You'll ensure our team is leveraging the latest state-of-the-art techniques to maintain a competitive edge. Technical Skills: Advanced Model Development & Operationalization: Deep expertise in developing, deploying, and managing complex machine learning and deep learning algorithms at scale. This includes a profound understanding of model evaluation, scoring methodologies, and mitigation of model bias to ensure robust, ethical, and reliable outcomes. Data & Computational Proficiency: Fluent in Python or R and SQL, with hands-on experience in building and optimizing data pipelines for analytical and model development purposes. Cloud-Native AI/ML: Demonstrated experience with Cloud DevOps on AWS as it pertains to the entire data science lifecycle, from data ingestion to model serving and monitoring. Translational Research: Proven ability to translate foundational AI/ML research into functional, production-ready packages and applications that directly support strategic initiatives in areas like RWE, Clinical Pharmacology, and Biomarkers. Basic Qualifications: Doctorate and 5+ years of relevant experience OR Master's and 8+ years of relevant experience OR Bachelor's and 10+ years of relevant experience Preferred Qualifications: Ability to translate stakeholder needs into clear technical requirements, including those related to RWE, Clinical Pharmacology, and Biomarkers. Skill in scoping project requirements and developing timelines. Knowledge of product management principles. Experience with code management using Git. Strong technical documentation skills. Join us at the AI Research Center to shape the future of clinical development with groundbreaking AI/ML solutions, and contribute to advancements in RWE, Clinical Pharmacology, and Biomarkers! The salary range for this position is: Bay Area: $210,375.00 - $272,250.00.Other US Locations: $191,250.00 - $247,500.00. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description Gilead's AI Research Center(ARC) is looking for a Principal Data Scientist to spearhead the adoption of AI/ML and transform our clinical development processes. This is a pivotal role where you will provide key thought leadership and drive our strategic vision for advanced analytics, with the goal of optimizing clinical trials, enhancing data-driven decision-making, and providing support for Real-World Evidence (RWE), Clinical Pharmacology, and Biomarkers initiatives. You will be a thought leader in applying AI/ML to real-world clinical challenges, taking deep involvement in all stages of technical development-from coding and configuring compute environments to model evaluation, review, and architecture design. You'll work closely with a variety of cross-functional teams, including architects, data engineers, and product managers, to scope, develop, and operationalize our AI-driven applications, with a specific focus on leveraging AI/ML to advance insights within RWE, Clinical Pharmacology, and Biomarkers. Responsibilities: Innovate and Strategize: Spearhead the strategic vision for leveraging AI/ML within clinical development. You'll partner with cross-functional leaders to identify high-impact opportunities and design innovative solutions that transform how we conduct trials and make data-driven decisions. Lead with Expertise: Guide the full lifecycle of machine learning models from initial concept to real-world application. This includes architecting scalable solutions, hands-on algorithm development, and ensuring models are rigorously evaluated and operationalized for use in RWE, Clinical Pharmacology, and Biomarkers. Mentor and Empower: Act as a force multiplier for our data science team. You'll coach and mentor senior and junior data scientists, fostering a culture of technical excellence and continuous learning. Translate and Execute: Serve as a bridge between technical teams and business stakeholders. You'll translate complex business challenges into precise data science problems and, in a product manager-like role, drive the development of these solutions from proof-of-concept to production. Drive Breakthroughs: Research and develop cutting-edge algorithms to solve critical challenges. This could involve using NLP for patient insights, computer vision for biomarker analysis, or predictive models to optimize trial logistics. You'll be at the forefront of applying these techniques in a biotech context. Build the Foundation: Design and implement the technical and process building blocks needed to scale our AI/ML capabilities. This includes working with IT partners to curate and operationalize the datasets essential for fueling our analytical pipelines. Influence and Advise: Interface directly with internal stakeholders, acting as a trusted advisor to help them understand the potential of advanced analytics and apply data-driven approaches to optimize clinical trial operations. Stay Ahead: Continuously monitor the landscape of machine learning and biopharmaceutical innovation. You'll ensure our team is leveraging the latest state-of-the-art techniques to maintain a competitive edge. Technical Skills: Advanced Model Development & Operationalization: Deep expertise in developing, deploying, and managing complex machine learning and deep learning algorithms at scale. This includes a profound understanding of model evaluation, scoring methodologies, and mitigation of model bias to ensure robust, ethical, and reliable outcomes. Data & Computational Proficiency: Fluent in Python or R and SQL, with hands-on experience in building and optimizing data pipelines for analytical and model development purposes. Cloud-Native AI/ML: Demonstrated experience with Cloud DevOps on AWS as it pertains to the entire data science lifecycle, from data ingestion to model serving and monitoring. Translational Research: Proven ability to translate foundational AI/ML research into functional, production-ready packages and applications that directly support strategic initiatives in areas like RWE, Clinical Pharmacology, and Biomarkers. Basic Qualifications: Doctorate and 5+ years of relevant experience OR Master's and 8+ years of relevant experience OR Bachelor's and 10+ years of relevant experience Preferred Qualifications: Ability to translate stakeholder needs into clear technical requirements, including those related to RWE, Clinical Pharmacology, and Biomarkers. Skill in scoping project requirements and developing timelines. Knowledge of product management principles. Experience with code management using Git. Strong technical documentation skills. Join us at the AI Research Center to shape the future of clinical development with groundbreaking AI/ML solutions, and contribute to advancements in RWE, Clinical Pharmacology, and Biomarkers! The salary range for this position is: Bay Area: $210,375.00 - $272,250.00.Other US Locations: $191,250.00 - $247,500.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans*. For additional benefits information, visit: ****************************************************************** * Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans. For jobs in the United States: Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex , age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact ApplicantAccommodations@gilead.com for assistance. For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster. NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT PAY TRANSPARENCY NONDISCRIMINATION PROVISION Our environment respects individual differences and recognizes each employee as an integral member of our company. Our workforce reflects these values and celebrates the individuals who make up our growing team. Gilead provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion. For Current Gilead Employees and Contractors: Please apply via the Internal Career Opportunities portal in Workday. Share: Job Requisition ID R0046852 Full Time/Part Time Full-Time Job Level Associate Director Click below to return to the Gilead Careers site Click below to see a list of upcoming events Click below to return to the Kite, a Gilead company Careers site #J-18808-Ljbffr

Are you an experienced Data Scientist with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Data Scientist to work at their company in Novato, CA. Client's Data Science is responsible for designing, capturing, analyzing, and presenting data that can drive key decisions for Clinical Development, Medical Affairs, and other business areas of Client. With a quality-by-design culture, Data Science builds quality data that is fit-for-purpose to support statistically sound investigation of critical scientific questions. The Data Science team develops solid analytics that are visually relevant and impactful in supporting key data-driven decisions across Client. The Data Management Science (DMS) group contributes to Data Science by providing complete, correct, and consistent analyzable data at data, data structure and documentation levels following international standards and GCP. The DMS Center of Risk Based Quality Management (RBQM) sub-function is responsible for the implementation of a comprehensive, cross-functional strategy to proactively manage quality risks for clinical trials. Starting at protocol development, the team collaborates to define critical-to-quality factors, design fit-for-purpose quality strategies, and enable ongoing oversight through centralized monitoring and data-driven risk management. The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined KRIs, QTLs, and other risk metrics using clinical data, with strong emphasis on SAS programming to deliver robust and scalable analytics across multiple studies. Primary Responsibilities/Accountabilities: The RBQM Data Scientist may perform a range of the following responsibilities, depending upon the study's complexity and the study's development stage: Implement and maintain pre-defined KRIs, QTLs, and triggers using robust SAS programs/macros across multiple clinical studies. Extract, transform, and integrate data from EDC systems (e.g., RAVE) and other clinical sources into analysis-ready SAS datasets. Run routine and ad-hoc RBQM/central monitoring outputs (tables, listings, data extracts, dashboard feeds) to support signal detection and study review. Perform QC and troubleshooting of SAS code; ensure outputs are accurate and efficient. Maintain clear technical documentation (specifications, validation records, change logs) for all RBQM programs and processes. Collaborate with Central Monitors, Central Statistical Monitors, Data Management, Biostatistics, and Study Operations to understand requirements and ensure correct implementation of RBQM metrics. Qualifications: PhD, MS, or BA/BS in statistics, biostatistics, computer science, data science, life science, or a related field. Relevant clinical development experience (programming, RBM/RBQM, Data Management), for example: PhD: 3+ years MS: 5+ years BA/BS: 8+ years Advanced SAS programming skills (hard requirement) in a clinical trials environment (Base SAS, Macro, SAS SQL; experience with large, complex clinical datasets). Hands-on experience working with clinical trial data.•Proficiency with Microsoft Word, Excel, and PowerPoint. Technical - Preferred / Strong Plus Experience with RAVE EDC. Awareness or working knowledge of CDISC, CDASH, SDTM standards. Exposure to R, Python, or JavaScript and/or clinical data visualization tools/platforms. Preferred: Knowledge of GCP, ICH, FDA guidance related to clinical trials and risk-based monitoring. Strong analytical and problem-solving skills; ability to interpret complex data and risk outputs. Effective communication and teamwork skills; comfortable collaborating with cross-functional, global teams. Ability to manage multiple programming tasks and deliver high-quality work in a fast-paced environment.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. We are seeking an energetic Financial Analyst MBA Intern to join our Data Center Compute FP&A team at NVIDIA. This is a great role for a highly motivated individual who can succeed in a fast-paced and rapidly changing environment! This role requires an individual who will thrive in an ambiguous environment and make a big impact. You will have a passion for providing data-based decision making, looking for areas of improvement and implementing automation to reduce your manual workload to focus on delivering insights to the business. What you'll be doing: Provide in-depth financial analysis of sales pipelines and opportunities to drive insights on demand trends, regional market dynamics, and solutions adoption/transitions. Prepare monthly and quarterly management reporting packages. Assist in developing the forecasting models for customer regions and industry verticals across business lines to understand the dynamic demand environment. Identify opportunities to drive new insights and process improvement leveraging systems and tools such as Salesforce, PowerBI, and advanced Excel financial modeling. Detail oriented, highly analytical, and able to translate data and trends into powerful strategies and compelling messages. Own financial data and reports to ensure they are both accurate and updated. Provide analyses is to assist in driving key decision making for executive leadership. Create insightful business dashboards and reports to monitor high-priority focus areas. What we need to see: Currently pursuing an MBA degree Proficiency in Power BI or Tableau, specifically creating automated dashboard Ability to question the output of a financial model and consider options for improvement. Detail oriented with the ability to perform with accuracy under deadlines. Desire to learn new technologies and have a great intellectual curiosity. Positive and upbeat attitude that thrives in a team environment. Background in finance, business analytics, or other analytically focused positions Ways to stand out from the crowd: Balance of strong academic and extracurricular activities. Leadership positions. Strong analytical skills and advanced financial modeling techniques. Exemplary communication, written and verbal, and interpersonal skills. Prior work experience in Finance in the Technology sector. Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family *********************** Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 27 USD - 82 USD. You will also be eligible for Intern benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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.

Get to know Okta Okta is The World's Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we're looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We're building a world where Identity belongs to you. Location We're seeking a dynamic and motivated contributor to join our team in one of our key office locations: San Francisco. About the Internship We are looking for a Data Analyst who has a passion for storytelling with data. You will be successful if you are detail-oriented, like solving big problems, understand technical systems, and can effectively communicate with team members and business partners. In this role, you will be key in creating the foundation for data-based decision-making across Okta's functional business teams and will work with internal customers to identify ways to effectively leverage data using cutting edge cloud and big data technologies to drive business insights. What You'll Get To Do Engage with stakeholders and business teams to understand priorities and identify opportunities to advance their analytics and insights solutions Document in-depth business requirements Identify trends and key drivers of metrics to unveil insights Provide support to stakeholders, investigate data issues, and create ad hoc reports and/or dashboards Answer complex business questions with data through investigation and data forensics Develop report and dashboard prototypes Work with the team to define, implement, and test new data sources and transformations Provide input to Data Engineering on requirements and enhancements to existing data pipelines, data sets, and data platforms Conduct QA activities for new development and enhancements Develop expertise in data modeling, transformation, and normalization Develop expertise in visualization and storytelling with data best practices Support new tool and technology assessments to improve stakeholder adoption Proactively identify process improvements, standardize processes, and help ensure new processes become institutionalized Who We Are Looking For BS in CS, MIS, related technical degree and graduating in December 2026 or Spring 2027. Interest in pursuing a career as a Data Analyst/Data Engineer/BI Developer Hands-on SQL experience Excellent communication skills, both written and verbal Experience with building reports and visualizations to represent data intuitively in Tableau or similar data visualization tools Ability to work cross-functionally and communicate with technical and non-technical teams Experience with ETL processes, software development, and lifecycle awareness, using Python, Java, and Snowflake Excellent time management and prioritization skills Okta's Intern Program As an intern, you'll do real work that matters. While you're on board, you'll work on meaningful projects and have an opportunity to see what working at Okta is all about. You'll also have the assistance of your mentor and manager to help you develop new skills. Our interns have the opportunity to build a strong community - with their fellow interns, within their teams, and with the broader company. We want you to grow professionally and you'll do that through participating in events like our Executive Speaker Series and Brown Bags. And of course, we want you to have fun too. We offer 12-week summer internships in the U.S. with two available start dates. You may choose from the following options: May 26 - August 14 or June 15 - September 4. LI-Hybrid SRC - Data Analyst Intern (Summer 2026) What you can look forward to as a Full-Time Okta employee! Amazing Benefits Making Social Impact Developing Talent and Fostering Connection + Community at Okta Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! ************************************** Some roles may require travel to one of our office locations for in-person onboarding. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at *********************************************

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. Job Description Position: Jr. Data Analyst Duration: 12+ Months Location: Walnut Creek, CA Interview Type: In-person The Data Analyst will gather and analyze data from various databases and sources, develop reports and visual representations, develop and/or maintain databases, provide analytics and technical assistance to Network Services departments. The Data Analyst will add structure and context to data and information, transforming it into actionable insights via efficient presentation. Education : Bachelor's Required Minimum number of years of experience required: 4 years Top 3 - 5 Daily responsibilities · Gather report requirements from key stakeholders and manage their expectations accordingly · Develop and delivery new reporting capabilities, including ad-hoc requests · Provide coherent data analysis thru clear and concise dashboards · Design and develop end-to-end ETLs based on business needs Top 3 - 5 Required Skills · Six months to a year experience with Tableau Desktop · 4 years of experience on Microsoft SQL Server 2008 R2 (stored procedures, views, reporting services, creating and scheduling jobs, etc) · 4 years of experience in BI XI environment (creating queries, scheduling, custom SQL coding) · MS Excel high level of proficiency Desired skills · Basic knowledge of Microsoft Windows Server 2008 R2 · Some basic experience on Microsoft SharePoint 2013 · Previous hands-on experience building reports out of BMC Remedy data base / data mart Soft Skills · Ability to work on a team and work towards team goals · Comfortable working on a virtual team · Good listening skills: Ability to work with others to solicit and understand business requirements · A track record of innovation / accomplishments Additional Information For more information, Please contact Shubham Rastogi ************** *********************************

Expertise in SQL skills to profile the data. Analyse, Profile and systematically present the data for Business and management team understanding. ETL development and Data Migration tasks Interpreting the functional aspect of data & reporting aspect of data. Present the data to business and the consumers of the data which qualifies the scope and highlight gaps/issues on data from Source. Identifying patterns and trends in data sets Working alongside teams within the business, Solution team or the Technical team to establish business needs. Documenting the data mapping rules for migration. Skills and experience Skills- 1+ years of experience in Data Analysis & Development experience Junior role 3+ years of experience in Data Analysis & Development experience Mid role Have solid consulting ability across SSIS, SSRS, and expert in data profiling/analysis, SQL, and data deduplication/cleansing processes Strong Problem-Solving Skills Ability to analyze and critically evaluate gathered information to resolve conflicts, anticipate issues and make priority decisions. You will have ideally worked within a client-facing capacity, with the interpersonal and communication skills to manage and influence key relationships with stakeholders. Experience in Health Cover and insurance domain desirable not mandatory. Qualification- Relevant degree in IT industry Certification in Relevant Technologies

retailcloud is an omnichannel commerce platform that provides sports and entertainment merchants the ability to easily manage their orders, inventory, customers, and other related tasks while providing them with actional analytics to improve operational efficiencies. We are the proud partner of over 30 professional sports teams and work closely to utilize our 30+ homegrown application and range of out of the box integrations to build a tailored solution to meet the customers needs. Position Overview: retailcloud is seeking a Data Anyltics Intern to work with large and complex datasets and turn them into clear insights and visualizations. We are looking to utilize our data and technology to transform a retailers data into actionable analytics for the retailer. The ideal candidate will have 1 -3 years experience in a prior data analytics role. This role will require to create and improve our analytics dashboards to support our retailers operations. Responsibilities: · Demonstrated ability to work with large and complex datasets. · Strong written and verbal communication skills to explain findings to decision -makers who are not business analysts or data analysis experts. · Demonstrated ability to independently determine and apply the most appropriate mathematical and statistical techniques to interpret data into meaningful insights and conclusions. · Tech -savvy, particularly when it comes to data mining and cleansing. · High attention to detail as it relates to data integrity and organization. · Willingness to take on multiple departmental responsibilities and multitask. · Ability to organize and create catalogs for large streams of data collected. · Project organization and management. Qualifications and Experience · Bachelor's degree or equivalent industry experience preferred. · 1 -3 years experience in a data analytics/science role, ideally from a SaaS/ERP/API company · Ideally worked in a start -up environment · Highly organized Compensation: Base salary of $60,000 -$70,000 with PTO and full medical benefits

Who We Are BioMarin is a global biotechnology company that relentlessly pursues bold science to translate genetic discoveries into new medicines that advance the future of human health. Since our founding in 1997, we have applied our scientific expertise in understanding the underlying causes of genetic conditions to create transformative medicines, using a number of treatment modalities. Using our unparalleled expertise in genetics and molecular biology, we develop medicines for patients with significant unmet medical need. We enlist the best of the best - people with the right technical expertise and a relentless drive to solve real problems - and create an environment that empowers our teams to pursue bold, innovative science. With this distinctive approach to drug discovery, we've produced a diverse pipeline of commercial, clinical and preclinical candidates that have well-understood biology and provide an opportunity to be first-to-market or offer a substantial benefit over existing therapeutic options. About Technical Operations BioMarin's Technical Operations group is responsible for creating our drugs for use in clinical trials and for scaling production of those drugs for the commercial market. These engineers, technicians, scientists and support staff build and maintain BioMarin's cutting-edge manufacturing processes and sites, provide quality assurance and quality control to ensure we meet regulatory standards, and procure the needed goods and services to support manufacturing and coordinating the worldwide movement of our drugs to patients. SUMMARY: The BioMarin Summer Internship Program will enable students to gain valuable experience and knowledge of the processes and systems within BioMarin, while gaining an insight into the pharmaceutical/biotech industry. Over the course of 10 - 12 weeks our interns gain industry experience while working alongside our talented team on meaningful projects. We are seeking a high-caliber Strategy and Business Operations Intern to support strategic analysis and operating model clarity within a Global Quality Organization. This role works closely with Global Quality Senior Leadership and will enable stronger enterprise-wide decision making. This is a thinking-heavy role. The ideal candidate is comfortable with ambiguity, enjoys structured problem-solving, and can translate analysis into executive-ready outputs. Candidates may be asked to complete a short analytical exercise (case study) as part of the interview process. JOB DESCRIPTION/PROJECT: * Strategic Analysis and Modeling * Support the development of financial and capacity models for Quality Control laboratories to assess current-state network capabilities and constraints over the 10-year forecast * Analyze cost drivers, capacity bottlenecks, and scaling dynamics to inform strategic planning * Partner with Finance to build directional, decision-supporting models rather than precision accounting tools * Operating Model & Governance Mapping and Assessment * Help document decision-making governance within the Global Quality Organization * Map key decisions, forums, ownership, and escalation paths in supporting of embedding Decision Done Right (DAI) decision making model * Identify areas of overlap, friction, or ambiguity in existing governance structures Required Skills: * Strong analytical and problem-structuring skills * Excellent written communication, able to synthesize information and communicate clearly and concisely. * Strong working knowledge of Excel (models, pivots, scenario analysis) * Comfortable working with incomplete information and evolving scope * Highly organized, self-directed, and intellectually curious * Sound judgement, discretion and follow-through Desired Skills: * Experience with financial modelling Qualifications/Eligibility: * Master's Candidate pursuing a degree in economics, engineering, life sciences or related field or MBA Candidate. * Must be available to work full time, 40 hours a week. * Must be currently enrolled as a full-time student at an accredited U.S. based university or college and enrolled in the fall term after the completion of the internship OR have graduated within 1 year of the start of the program. * Must be able to relocate if necessary and work at the designated site for the duration of the internship for on-site, hybrid roles. Benefits of a BioMarin Internship: * Paid hourly wage, paid company holidays, and sick time * Apply skills and knowledge learned in the classroom to on-the-job experiences * Comprehensive, value-added project(s) * Develop skills specific to your major. * Opportunities for professional development by building relationships and learning about other parts of the business. * Participate in company all hands meetings, monthly community lunches * Corporate office amenities such as: 24/7 on-site gym, coffee truck, snacks * Access to Employee Resource Groups Note: This description is not intended to be all-inclusive, or a limitation of the duties of the position. It is intended to describe the general nature of the job that may include other duties as assumed or assigned. Equal Opportunity Employer/Veterans/Disabled An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. In the U.S., the salary range for this position is $ 32 to $ 50 per hour, which factors in various geographic regions. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors.

As a Data Analyst Intern, you will be responsible for collecting, organizing, and analyzing large datasets to derive meaningful insights and provide strategic recommendations to our investment team. You will work closely with senior analysts and investment professionals to identify trends, evaluate market opportunities, and assess the performance of potential and existing investments. This internship will provide a unique opportunity to learn about the venture capital and private equity industry while developing foundational skills in data analysis and investment evaluation. Responsibilities Collect, clean, and organize large datasets for analysis Perform quantitative and qualitative analysis to identify trends and patterns Support investment team in evaluating potential investment opportunities Assist with financial modeling and forecasting Conduct market research to identify industry trends and competitive landscapes Create and maintain databases and analytical tools Prepare reports and presentations for senior management and investors Requirements Strong analytical and problem-solving skills Proficiency in Excel and data analysis tools such as Python or R Excellent attention to detail and ability to work with large datasets Strong verbal and written communication skills Ability to work independently and within a team Self-motivated and eager to learn about venture capital and private equity

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.

The University of California Agriculture and Natural Resources (UC ANR) seeks a Financial Data Analyst (classified as Research Data Analyst 4) to develop, maintain, and optimize financial software solutions that support the Division's financial operations. UC ANR is a complex organization with operations in 58 county offices, three campuses, and nine research and extension centers. As the land-grant arm of the UC system, ANR manages over $300 million in funding and employs over 1,600 academic and staff personnel. The incumbent applies advanced data analytics, programming, and data integration skills to extract, clean, and analyze large and complex financial datasets from multiple enterprise sources. This role will collaborate with Resource Planning and Management, Financial Services, IT, and administrative teams to customize and implement applications that enhance financial reporting, budgeting, and operational efficiency. The ideal candidate has a strong background with financial data systems in higher education, proficiency in tools such as SQL, R, SAS, Tableau, and Power BI, with a passion for improving processes in a large, complex academic institution. This position is a contract appointment that is 100% fixed, and ends three years from date of hire with the possibility of extension if funding permits. This position is posted as a Research Data Analyst 4 but a Research Data Analyst 3 may be considered depending on the level of experience of the hired applicant. The home department is Resource, Planning & Management. While this position normally is based in Oakland, CA, this position is eligible for hybrid flexible work arrangements for applicants living in the State of California at this time. Please note that hybrid flexible work arrangements are subject to change by the University. Pay Scale: Research Data Analyst 3: $91,500.00/year to $130,200.00/year Research Data Analyst 4: $112,400.00/year to $163,200.00/year Job Posting Close Date: This job is open until filled. The first application review date will be 9/8/2025. Key Responsibilities: 25% Financial Data Integration & Reporting Create and maintain scripts, queries, and reports that integrate data from multiple systems to support cross-functional financial analysis. Build automated tools to extract, clean, and analyze large financial datasets from Oracle, Cognos, and other university financial systems. Translate complex reporting and analysis needs into scalable, user-friendly dashboards and visualizations using tools such as Tableau, Cognos, or Power BI. 20% Financial Application Design & Enhancement Design and enhance financial applications that support budgeting, forecasting, and reporting within a university financial ecosystem. Implement financial models and process automation solutions to improve operational efficiency across departments. 15% Process Improvement & Operational Efficiency Improve speed, accuracy, and efficiency of financial calculations and reporting systems. Contribute to continuous improvement initiatives with university finance and IT stakeholders. 15% Compliance & Risk Management Ensure the use of all financial applications complies with university policies, state and federal regulations (GAAP, IFRS, OMB Uniform Guidance), and cybersecurity standards 15% Technical Support & Issue Resolution Diagnose and resolve system issues, provide technical support to finance teams, and ensure seamless financial operations across all campuses 10% Stakeholder Collaboration & Documentation Work with university finance and IT stakeholders, maintain clear documentation of system workflows, and support cross-campus coordination. Requirements: Bachelor's degree in Computer Science, Finance, Data Science, Business Analytics, or a related field or equivalent experience. Proficiency in using programming or scripting languages (such as SQL, Python, or similar) to extract, analyze, and automate processes using data from financial systems. Experience with ERP platforms (Oracle, UCPath), and business intelligence tools (Cognos, Tableau, Power BI). Familiarity with data warehousing, cloud computing (AWS, Azure, GCP), and automation tools. Ability to analyze large datasets and develop financial reports that align with UC's financial reporting standards. Strong problem-solving, analytical thinking, and collaboration skills. Preferred Skills: Strong understanding of fund accounting, grant management, and UC financial policies. Experience working in higher education finance, UC financial operations, or public sector budgeting. Knowledge of UC policies related to finance, grants, and compliance. Certifications such as CPA, CFA, or data analytics certifications. Special Conditions of Employment: Must possess valid California Driver's License to drive a County or University vehicle. Ability and means to travel on a flexible schedule as needed, proof of liability damage insurance on vehicle used is required. Reimbursement of job-related travel will be reimbursed according to University policies. The University reserves the right to make employment contingent upon successful completion of the background check. This is a designated position requiring a background check and may require fingerprinting due to the nature of the job responsibilities. UC ANR does hire people with conviction histories and reviews information received in the context of the job responsibilities. As of January 1, 2014, ANR is a smoke- and tobacco-free environment in which smoking, the use of smokeless tobacco products, and the use of unregulated nicotine products (e-cigarettes), is strictly prohibited. As a condition of employment, you will be required to comply with the University of California Policy on Vaccination Programs, as may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements. Exercise the utmost discretion in managing sensitive information learned in the course of performing their duties. Sensitive information includes but is not limited to employee and student records, health and patient records, financial data, strategic plans, proprietary information, and any other sensitive or non-public information learned during the course and scope of employment. Understands that sensitive information should be shared on a limited basis and actively takes steps to limit access to sensitive information to individuals who have legitimate business need to know. Ensure that sensitive information is properly safeguarded. Follow all organizational policies and laws on data protection and privacy. This includes secure handling of physical and digital records and proper usage of IT systems to prevent data leaks. The unauthorized or improper disclosure of confidential work-related information obtained from any source on any work-related matter is a violation of these expectations. Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer. a. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct: UC Sexual Violence and Sexual Harassment Policy UC Anti-Discrimination Policy Abusive Conduct in the Workplace To apply, please visit: https://careerspub.universityofcalifornia.edu/psc/ucanr/EMPLOYEE/HRMS/c/HRS_HRAM_FL.HRS_CG_SEARCH_FL.GBL?Page=HRS_APP_JBPST_FL&JobOpeningId=80657&PostingSeq=1&SiteId=17&language Cd=ENG&FOCUS=Applicant Copyright ©2025 Jobelephant.com Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-73328718dac9be49973401bb9dac31c0

A leading global consulting firm seeks a Data Scientist - Director in San Francisco to drive AI solutions and data initiatives. The ideal candidate will lead multi-source data pipelines, architect complex data solutions while collaborating with business leaders. Candidates should have a strong educational background, extensive experience in data engineering, and proficiency with SQL and cloud-native infrastructure. This role offers a competitive salary range of $205,000 to $235,000 and promotes a hybrid working model. #J-18808-Ljbffr

Salary: $200-250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We're looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel. About the Role As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth. Key Responsibilities Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections. Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates. Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives. Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects. Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions. Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting. Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations. About You Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments. Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning. Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions. Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy. Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams. Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.

Description Who We Are BioMarin is a global biotechnology company that relentlessly pursues bold science to translate genetic discoveries into new medicines that advance the future of human health. Since our founding in 1997, we have applied our scientific expertise in understanding the underlying causes of genetic conditions to create transformative medicines, using a number of treatment modalities. Using our unparalleled expertise in genetics and molecular biology, we develop medicines for patients with significant unmet medical need. We enlist the best of the best - people with the right technical expertise and a relentless drive to solve real problems - and create an environment that empowers our teams to pursue bold, innovative science. With this distinctive approach to drug discovery, we've produced a diverse pipeline of commercial, clinical and preclinical candidates that have well-understood biology and provide an opportunity to be first-to-market or offer a substantial benefit over existing therapeutic options. About Technical Operations BioMarin's Technical Operations group is responsible for creating our drugs for use in clinical trials and for scaling production of those drugs for the commercial market. These engineers, technicians, scientists and support staff build and maintain BioMarin's cutting-edge manufacturing processes and sites, provide quality assurance and quality control to ensure we meet regulatory standards, and procure the needed goods and services to support manufacturing and coordinating the worldwide movement of our drugs to patients. SUMMARY:The BioMarin Summer Internship Program will enable students to gain valuable experience and knowledge of the processes and systems within BioMarin, while gaining an insight into the pharmaceutical/biotech industry. Over the course of 10 - 12 weeks our interns gain industry experience while working alongside our talented team on meaningful projects. We are seeking a high-caliber Strategy and Business Operations Intern to support strategic analysis and operating model clarity within a Global Quality Organization. This role works closely with Global Quality Senior Leadership and will enable stronger enterprise-wide decision making. This is a thinking-heavy role. The ideal candidate is comfortable with ambiguity, enjoys structured problem-solving, and can translate analysis into executive-ready outputs. Candidates may be asked to complete a short analytical exercise (case study) as part of the interview process. JOB DESCRIPTION/PROJECT: Strategic Analysis and Modeling Support the development of financial and capacity models for Quality Control laboratories to assess current-state network capabilities and constraints over the 10-year forecast Analyze cost drivers, capacity bottlenecks, and scaling dynamics to inform strategic planning Partner with Finance to build directional, decision-supporting models rather than precision accounting tools Operating Model & Governance Mapping and Assessment Help document decision-making governance within the Global Quality Organization Map key decisions, forums, ownership, and escalation paths in supporting of embedding Decision Done Right (DAI) decision making model Identify areas of overlap, friction, or ambiguity in existing governance structures Required Skills: Strong analytical and problem-structuring skills Excellent written communication, able to synthesize information and communicate clearly and concisely. Strong working knowledge of Excel (models, pivots, scenario analysis) Comfortable working with incomplete information and evolving scope Highly organized, self-directed, and intellectually curious Sound judgement, discretion and follow-through Desired Skills: Experience with financial modelling Qualifications/Eligibility: Master's Candidate pursuing a degree in economics, engineering, life sciences or related field or MBA Candidate. Must be available to work full time, 40 hours a week. Must be currently enrolled as a full-time student at an accredited U.S. based university or college and enrolled in the fall term after the completion of the internship OR have graduated within 1 year of the start of the program. Must be able to relocate if necessary and work at the designated site for the duration of the internship for on-site, hybrid roles. Benefits of a BioMarin Internship: Paid hourly wage, paid company holidays, and sick time Apply skills and knowledge learned in the classroom to on-the-job experiences Comprehensive, value-added project(s) Develop skills specific to your major. Opportunities for professional development by building relationships and learning about other parts of the business. Participate in company all hands meetings, monthly community lunches Corporate office amenities such as: 24/7 on-site gym, coffee truck, snacks Access to Employee Resource Groups Note: This description is not intended to be all-inclusive, or a limitation of the duties of the position. It is intended to describe the general nature of the job that may include other duties as assumed or assigned. Equal Opportunity Employer/Veterans/Disabled An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. In the U.S., the salary range for this position is $ 32 to $ 50 per hour, which factors in various geographic regions. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors.