Biostatistician/Research Data Analyst (Health Services) - 2-Year Fixed-Term, Emergency Medicine (U.S. - Flexible Work Location)
Data analyst job in Stanford, CA
The following position will have the flexibility to be based anywhere in the U.S., for candidates who are willing to travel to the Stanford School of Medicine campus 5%-10% of the time, as needed.
This will be a 2-year fixed-term position with a possibility for extension based on performance, the availability of funding and programmatic needs.
The Department of Emergency Medicine is seeking a highly skilled and motivated Biostatistician 3 to join our dynamic team. The successful candidate will be responsible for leading and managing emergency medicine population health and health services projects, with a focus on ensuring successful completion of extramurally funded research projects with diverse teams. The position will be primarily based in Dr. Michelle Lin's lab conducting NIH-funded research to improve emergency care delivery, outcomes, and health equity.
The successful candidate must be technically rigorous, possess exceptional organizational skills and attention to detail and have a track-record of excellence, innovation, and productivity in research. Experience independently designing and analyzing scientific studies using administrative datasets (e.g.: Medicare or commercial claims) is required.
Duties include:
Lead the design and implementation of research studies measuring emergency care access, quality, and outcomes, including peer-reviewed manuscripts and scientific presentations.
Collaborate with multidisciplinary teams to develop and execute project plans, ensuring timely completion and delivery of project milestones.
Train and supervise staff, postdoctoral fellows, graduate students, and research assistants.
Contribute to grant writing to support ongoing and future research initiatives.
Overseeing the development of study protocols and data use agreements, including coordinating regulatory approval from the institutional review boards to assure regulatory compliance.
Identify appropriate statistical tools for analysis.
Implement data analysis through statistical programming.
Consult with investigators and others on appropriate statistical approaches to data analyses; assist in study design.
Develop oral and written dissemination of findings for conference presentations and peer-reviewed journal articles.
Mentor clinical investigators on relevant research methods.
Implement studies to address statistical issue arising from collaborations.
* - Other duties may also be assigned.
DESIRED QUALIFICATIONS:
Experience leading independent analysis and interpretation of administrative claims datasets (e.g., Medicare, Optum, MarketScan). Other types of data include electronic health records, surveys, and administrative data. The successful candidate will have expertise in data management, analysis of these types of data, and also experience with data extraction and database development.
Excellent verbal and written communication skills are necessary both internally and externally. The candidate will interface with collaborators and trainees, including data documentation, protocol development, advising, and drafting scientific literature and proposals as related to their statistical analyses, and also write up their own work and present at meetings.
Proven track record of managing complex research projects from conception to completion (e.g. peer-reviewed publications and references).
Ability to take initiative and ownership of projects; prioritize and manage multiple active projects and deadlines.
EDUCATION & EXPERIENCE (REQUIRED):
Master's degree in biostatistics, statistics or related field and at least 5 years of experience or Ph.D. in health policy, biostatistics, epidemiology, or related field.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
Proficient in at least two of R, SAS, SPSS, or STATA.
Skills in descriptive analysis, modeling of data, and graphic interfaces.
Outstanding ability to communicate technical information to both technical and non-technical audiences.
Demonstrated excellence in at least one area of expertise, which may include coordinating studies; statistical methodology such as missing data, survival analysis, statistical genetics, or informatics; statistical computing; database design (e.g., expertise in RedCAP or MySQL); graphical techniques (e.g., expertise in Illustrator).
PHYSICAL REQUIREMENTS*:
Frequently perform desk based computer tasks, seated work and use light/ fine grasping.
Occasionally stand, walk, and write by hand, lift, carry, push pull objects that weigh up to 10 pounds.
* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.
WORKING CONDITIONS:
May work extended or non-standard hours based on project or business cycle needs.
WORK STANDARDS:
Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, *******************************
This role is open to candidates anywhere in the United States. Stanford University has five regional pay structures. The compensation for this position will be based on the location of the successful candidate. The expected pay range for this position is $148,561 to $179,602 per annum (within 10 Bay Area counties) or $123,292 to $161,995 per annum (all other regions).
Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (***************************************************** provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.
The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.
Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form.
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
Business Data Analyst
Data analyst job in Sunnyvale, CA
“NOTE: If selected for this position, you are required to perform ALL work onsite, based on the client's specified hybrid work schedule (currently onsite 3 days a week:Tuesday, Wednesday and Thursday).”
Business Data Analyst for Sunnyvale, CA for a 12-month Contract with possible extensions.
Responsibilities
Help Build data-driven systems that improve cost visibility, forecasting and budget accuracy
Develop and maintain data models that combine multiple cost and operational data sources.
Design and implement data workflows that support financial reporting and budget planning.
Collaborate with analysts and stakeholders to understand data requirements and deliver reliable, automated outputs.
Create and maintain dashboards or visualization tools to present insights on spend and trends.
Identify opportunities for data quality improvement, cost optimization, and performance enhancement.
Required Skills
Experience in Fintech/FinOps is needed
5+ years of experience in data engineering or data analytics/data business analystics roles.
Proficiency in Python and SQL for building financial and operational data models.
Experience fully automating Excel from scratch
Experience with Spark.
Flexible to work on analog and moving it to digital
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Since 1995, Red Oak Technologies has been a trusted partner in the tech industry, delivering innovative talent solutions that drive progress. We specialize in quickly acquiring and efficiently matching top-tier professional talent with clients in immediate need of highly skilled contract, permanent or project management-based resources.
Red Oak Technologies is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. See what it's like to be at the top; connect with one of our recruiters and apply today.
Let us help you find your next career opportunity! JOIN RED OAK TECHNOLOGIES!
Learn what it's like to be a Red Oak Consultant!
Red Oak Five (Core Values): Relationships First | Exceptional Quality and Service | Unwavering Integrity and Trust | Be Easy To Do Business With | Respect Everyone
Staff Data Scientist - Post Sales
Data analyst job in Fremont, CA
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 expanding our data science organization to accelerate customer success after the initial sale-driving onboarding, retention, expansion, and long-term revenue growth.
About the Role
As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention.
Key Responsibilities
Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring.
Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value.
Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion.
Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn.
Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals.
Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams.
Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions.
About You
Experience: 6+ years in data science or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment.
Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning.
Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring.
Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy.
Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders.
Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.
Business Analyst III
Data analyst job in Santa Clara, CA
Business Analyst III Duration: Contract We are seeking a highly skilled and experienced Business Analyst III to join our team in Santa Clara, California. The ideal candidate will play a critical role in analyzing business needs, identifying solutions, and ensuring the successful implementation of projects. This is a contract position that requires a detail-oriented professional with excellent analytical and communication skills.
Responsibilities:
Analyze business processes and identify areas for improvement.
Collaborate with stakeholders to gather and document requirements.
Develop detailed business and functional specifications.
Facilitate communication between technical teams and business units.
Monitor project progress and ensure alignment with business objectives.
Provide insights and recommendations to support decision-making processes.
Qualifications:
Bachelor's degree in Business Administration, Information Technology, or a related field.
Proven experience as a Business Analyst, preferably at a senior level.
Strong analytical and problem-solving skills.
Excellent communication and interpersonal abilities.
Proficiency in business analysis tools and methodologies.
Ability to work independently and collaboratively in a team environment.
About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit *****************
At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to:
Pay any fee to be considered for, submitted to, or selected for any opportunity.
Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process.
Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup.
Pay Range: $75hr - $80hr on w2
The specific compensation for this position will be determined by several 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 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 *******************
Data Scientist
Data analyst job in Cupertino, CA
JOB Title : Data Scientist + ML Engineer (Gen AI) (NO C2C)
Duration : 12 months contract with possible extension
We are looking for a highly skilled Data Scientist + ML Engineer (Generative AI)to join our team. In this role, you will be responsible for developing, fine-tuning, and applying advanced generative AI models - including diffusion models, large language models (LLMs), and other state-of-the-art architectures. You will collaborate closely with cross-functional partners in research, data engineering, and operations to deliver high-quality machine learning solutions and scalable datasets.
This position requires a balance of technical depth and creative problem-solving. You should be comfortable working with large, complex datasets and possess a strong grasp of modern ML frameworks, distributed computing environments, and end-to-end data pipelines.
RESPONSIBILITIES:
Design and Implement LLM-Driven Synthetic Data Pipelines: Design and build work flows using LLMs and Gen AI techniques to create high-volume, high-quality synthetic data for model training and testing.
Design, implement, and deploy machine learning models with a focus on generative AI (diffusion models, LLMs, and related architectures)
Fine-tune, evaluate, and optimize large language models for specific downstream tasks and data needs
Develop and maintain scalable data pipelines supporting training, evaluation, and inference workflows
Conduct exploratory data analysis to surface insights and identify opportunities for model or data improvement
Partner cross-functionally with researchers, engineers, and data program managers to defi ne requirements and deliver high-impact ML solutions
Build and enhance internal tools, libraries, and automation work flows to accelerate experimentation and iteration
REQUIRED EXPERIENCE AND SKILLS:
Bachelor's degree in Computer Science or related fi eld from an accredited U.S. institution
2+ years of experience in Machine Learning or Software Engineering
Expert-level proficiency in Python and familiarity with deep learning frameworks such as PyTorch
Strong foundation in machine learning algorithms, data preprocessing, and evaluation techniques
Demonstrated experience working with diffusion models, stable diffusion, or large language models (LLMs)
Excellent analytical, problem-solving, and debugging skills
Strong communication and documentation skills with the ability to explain complex concepts clearly
Ability to work independently in a fast-paced, iterative development environment
ServiceNow Business Systems Analyst (BSA)
Data analyst job in San Jose, CA
Core Objective: To translate business needs and challenges into actionable requirements and effective, scalable solutions within the ServiceNow ecosystem, ensuring process alignment, optimal platform usage, and successful project delivery.
Key Responsibilities
Requirements Gathering and Analysis:
Collaborate with stakeholders and process owners to identify business needs, challenges, and opportunities for improvement.
Lead and facilitate workshops, interviews, and discovery sessions to gather and document detailed business, functional, and technical requirements.
Conduct gap analysis to assess existing processes and system capabilities against client needs, recommending solutions aligned with ServiceNow best practices (e.g., ITIL, CSDM).
Process Design and Improvement:
Design and document "As-Is" and "To-Be" business processes, creating detailed process flows, workflow diagrams, and use cases.
Advise clients on process re-engineering and improvement to drive efficiency, effectiveness, and value realization from the ServiceNow platform.
Solution Design and Implementation Support:
Translate business needs into technical specifications and user stories with acceptance criteria for the development team.
Work closely with developers and solution architects to ensure solutions meet business objectives and platform standards.
Assist in configuring ServiceNow modules (e.g., ITSM, CSM, HRSD, ITOM) and building/presenting demos or proofs-of-concept.
Testing, Training, and Adoption:
Prepare and execute test plans, facilitate User Acceptance Testing (UAT), and obtain stakeholder sign-off.
Develop training materials and conduct user training sessions to ensure user enablement and platform adoption.
Provide post-implementation support and continuous improvement recommendations.
Stakeholder Management and Communication:
Act as a trusted advisor and primary liaison between business, IT, and technical teams.
Communicate project status, risks, and issues to diverse audiences, ensuring alignment between business goals and technical solutions.
Business Analyst - IT, Sourcing & Buying(Procurement)
Data analyst job in San Jose, CA
Required Skills & Experience
• 5-8+ years of experience as a Business Analyst or Procurement Analyst with strong domain expertise in IT sourcing, procurement, or vendor management.
• Hands-on experience with at least one major procurement platform (SAP Ariba, Coupa, Oracle iProcurement, Workday Spend, Jaggaer, or similar).
• Solid understanding of IT category management, software license renewals, SaaS agreements, and asset purchasing.
• Familiarity with RFx processes, e-sourcing tools, contract lifecycle management (CLM), and supplier onboarding workflows.
• Strong analytical and documentation skills (BRD, FRD, user stories, workflows).
• Excellent communication, stakeholder engagement, and cross-functional collaboration abilities.
________________________________________
Preferred / Nice to Have
• Certification: CBAP, PMI-PBA, or Procurement certifications (CIPS, CPSM, CSCP).
• Exposure to Ariba Network, ServiceNow Procurement, or Oracle Fusion Cloud Procurement.
• Experience in IT sourcing, vendor risk management, or third-party compliance audits.
• Understanding of contract terms, TCO analysis, and budget planning.
Thanks
Rakesh Pathak | Senior Technical Recruiter
Phone: ************
*************************| ***************
**********************************************************
Care Specialist - Enhanced Care Management
Data analyst job in Concord, CA
Care Specialist - Enhanced Care Management
Upward Health is an in-home, multidisciplinary medical group providing 24/7 whole-person care. Our clinical team treats physical, behavioral, and social health needs when and where a patient needs help. Everyone on our team from our doctors, nurses, and Care Specialists to our HR, Technology, and Business Services staff are driven by a desire to improve the lives of our patients. We are able to treat a wide range of needs everything from addressing poorly controlled blood sugar to combatting anxiety to accessing medically tailored meals because we know that health requires care for the whole person. Its no wonder 98% of patients report being fully satisfied with Upward Health!
Job Title & Role Description:
The Care Specialist - ECM is responsible for coordinating care for high-complexity patients, mainly working in the field to provide chronic care coordination and support. This role involves direct outreach to patients through phone calls, home visits, and community interactions. The Care Specialist primarily works in patients' homes and communities (90% of the time) and engages in virtual or telephonic support (10% of the time) The Care Specialist will assess patient needs, help set health goals, and ensure that patients receive the appropriate care and resources, with a focus on increasing access to preventative care, reducing emergency room visits, and enhancing self-management. The role requires excellent communication skills, critical thinking, and the ability to work independently and adapt to evolving challenges.
Skills Required:
At least 2 years of relevant work experience as a Community Health Worker, Peer Support Specialist, Medical Assistant, or in a similar role.
High school diploma or GED required.
A valid drivers license and auto liability insurance.
Reliable transportation and the ability to travel within assigned territory or as needed.
Experience in care coordination for individuals with chronic conditions, behavioral health conditions, or with patients experiencing housing insecurities including homelessness.
Strong interpersonal and motivational interviewing skills to build trust and rapport with patients.
Familiarity with trauma-informed care, care coordination, and patient education.
Proficiency in the use of electronic medical records (EMR) systems and basic computer skills.
Technologically savvy and able to manage documentation and data entry effectively.
Ability to work independently in a field-based environment and as part of a team.
Multi-lingual capabilities preferred but not required.
Prior home care or Enhanced Care Management experience a plus.
Community Health Worker certification is a plus.
Key Behaviors:
Adaptability:
Ability to work in dynamic, unstructured environments, pivoting quickly to meet the needs of patients and the organization.
Critical Thinking & Problem Solving:
Demonstrates strong problem-solving skills when assessing patient needs and determining the best course of action.
Motivational Interviewing & Empathy:
Uses motivational interviewing techniques to build rapport, set health goals, and empower patients to take charge of their care.
Relationship Building:
Skilled in establishing trust and fostering strong relationships with patients, families, and team members.
Self-Starter:
Takes initiative to perform outreach, complete assessments, and follow through with care coordination independently.
Organizational Skills:
Excellent at managing time, tasks, and schedules, ensuring that all patient needs are addressed in a timely manner.
Resilience:
Demonstrates resilience in challenging situations and remains focused on the goal of improving patient outcomes despite setbacks.
Cultural Competence:
Demonstrates sensitivity to and understanding of diverse cultural backgrounds, ensuring that care is provided in a culturally inclusive manner.
Commitment to Quality Care:
Shows passion for delivering high-quality care and support to patients, ensuring their well-being and satisfaction.
Competencies:
Care Coordination:
Ability to assess patient needs, coordinate care with interdisciplinary teams, and ensure patients are receiving the appropriate services.
Patient Advocacy:
Supports patients by navigating healthcare systems, advocating for needed resources, and ensuring timely access to care.
Health Education & Communication:
Educates patients about their health conditions, treatments, and the healthcare system in a clear and empathetic manner.
Data Management & Reporting:
Proficient in documenting patient interactions and maintaining accurate, up-to-date records in EMR systems.
Patient Outreach & Engagement:
Proactively reaches out to patients through multiple communication channels, including phone, in-person visits, and community outreach.
Goal Setting & Self-Management:
Works with patients to develop self-care plans, emphasizing shared decision-making and increasing the patients ability to manage their own health.
Collaboration & Teamwork:
Works effectively as part of an interdisciplinary care team to achieve organizational goals and improve patient outcomes.
Crisis Management & Flexibility:
Demonstrates flexibility and adaptability in managing unforeseen challenges, providing support where it is needed most.
Technical Proficiency:
Skilled in using healthcare software applications and systems for accurate data entry and patient management.
Upward Health is proud to be an equal opportunity employer. We are committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce. This job description is a general outline of duties performed and is not to be misconstrued as encompassing all duties performed within the position.
California pay range
$24-$27 USD
Upward Health Benefits
Upward Health Core Values
Upward Health YouTube Channel
PI8340f19382a5-37***********0
Senior Industry Analyst - Robotics
Data analyst job in Fremont, CA
.
This confidential company is an independent research firm focused on the semiconductor, artificial intelligence, and robotics sectors. Their work spans the entire technology stack, from hardware and manufacturing processes to advanced AI models and infrastructure.
The team is composed of deep technical experts and market analysts whose insights shape strategy for leading global industry and policy stakeholders. They offer a collaborative, fast-paced environment where analysts directly influence high-impact research in rapidly evolving technology markets.
This is a rare opportunity to make a lasting impact on the future of Physical AI, joining a team that's redefining how robotics innovation is understood, financed, and deployed worldwide.
Role
Lead research and analysis across a broad range of robotics topics - not just humanoid form factors, but intelligent systems spanning industrial, manufacturing, and logistics applications.
Develop and publish high-impact research reports, forecasts, and technical briefings leveraging both public and proprietary data sources.
Track and evaluate key developments in industrial robotics, cobots, autonomous systems, and control software.
Assess how advances in AI, sensors, edge computing, and simulation are reshaping automation capabilities and market structures.
Collaborate across disciplines with semiconductor, AI infrastructure, and industrial technology analysts to develop cross-sector insights.
Support diverse clients - including investors, OEMs, automation providers, and policymakers - with thematic and bespoke analysis.
Present findings to senior executives and clients through reports, calls, and conference presentations.
Qualifications
Bachelor's degree in Robotics, Mechanical/Electrical Engineering, Computer Science, or a related technical field.
3-5+ years of experience in equity research, investment analysis, strategy consulting, or R&D within robotics, automation, or industrial technology.
Strong understanding of robotics hardware, software stacks, and market dynamics (e.g., manipulators, vision systems, motion control, and system integration).
Proven ability to translate technical and market data into actionable insights.
Excellent writing, presentation, and communication skills, capable of producing deep-dive reports and technical primers.
A portfolio of non-confidential client briefings and/or public-domain reports is highly desirable. Self-authored technical work (e.g., Medium, Substack, or Reddit analyses) will also be considered.
Proficiency in Excel; familiarity with Python, SQL, MATLAB, or similar tools is a plus.
Self-driven, intellectually curious, and able to thrive in a fast-paced, global environment.
Color Analyst
Data analyst job in San Francisco, CA
Forget what you know about old-school industry rules. When you work at Old Navy, you're choosing a different path. From day one, we've been on a mission to democratize fashion and make shopping fun again. Our teams make style accessible to everyone, creating high-quality, must-have fashion essentials for the whole family, with love, season after season.
We opened our first store in 1994 in San Francisco and have been on a roll ever since. We cultivate a community of playful personalities that thrive in a fast-paced environment where our employees can be their most authentic selves. Here, we're family.
About the Role
At Old Navy, we believe in the power of color - it's how we express optimism, creativity, and confidence through every style we create. As a Color Analyst, you'll help bring that vision to life by ensuring print color across every collection is consistent, vibrant, and true to our brand.
The Color Analyst will report to the Color Manager sitting within the Fabric R&D Team and will focus on the technical and operational aspects of color development and ensure print color quality. This role will partner closely with our product development, print design, and color concept teams, to deliver color accuracy and quality across a range of substrates and print techniques. You'll use your visual expertise and quality judgment to ensure each print meets the approved color standard and creative intent.
You're detail-oriented, technically skilled, and passionate about color. You have an exceptional eye for shade accuracy and print quality, thrive in a fast-paced, dynamic environment, and communicate clearly across teams and global vendors. You're a collaborator who loves problem-solving and takes pride in transforming creative color inspiration into production-ready results that represent Old Navy's fun, inclusive, and confident style.
What You'll Do
Execute company-wide procedures and standards regarding color approval for production. Evaluate and comment on Print strike offs across the brand & solid lab dips for specified categories.
Ensure color cohesion and consistency for Family and high visibility categories, across multiple fabrics within one artwork
Maintain and organize physical & digital Color Libraries to ensure quick and accurate access for design & Print teams, including seasonal inventory and updates of all Library tools
Identify and communicate color variances or print process challenges, providing clear feedback to vendors and PD partners, to achieve target color.
Track and manage physical & digital print color approvals within PLM and Smartsheets
Support the Color Manager in translating seasonal color palettes into achievable production tools for Design, global color teams & vendors. Assist with color palette naming.
Responsible for the distribution of seasonal Color standards to our Global color offices.
Partner with Print Design team to support seasonal optimized color files, and CAD printouts for s/off review.
Assist Design/PD teams in selecting potential Library color matches as needed
Collaborate on new ways to improve color department performance and efficiency
Maintain digital and physical color libraries, ensuring all print color standards are organized and accessible.
Support vendor performance tracking, color testing consistency, and process improvements that enhance efficiency and accuracy.
Contribute to color innovation initiatives, including digital color management and sustainable print practices.
Who You Are
Bachelor's degree in Textile Science, Color Science, or related field.
2-4 years of experience in color analysis or print/lab dip evaluation within the apparel or textile industry.
Excellent visual color acuity and attention to detail (Superior score on Munsell Color Hue test will be required).
Excellent verbal & written communication, strong organizational skills with an emphasis on detail orientation and prioritization skills
Ability to accomplish competing tasks within tight timelines & multiple overlapping seasons, while also balancing larger scale projects.
Self-starter who thrives in a fast-paced environment and works well independently as well as part of a team
Ability to be flexible and quickly adapt to change with resilience and an eagerness to learn new things
Knowledge of PLM systems preferred, and/or comfortable with managing complex data in centralized platforms
Proficient with spectrophotometers and X-Rite color management software
Highly proficient with Microsoft applications (Excel, Word, Powerpoint)
Any other duties or projects as assigned by Color Manager
Preferred:
Experience with digital print workflows and color calibration systems.
Understanding of fabric construction, print techniques, and finishing impacts on print color.
Experience using Adobe Illustrator & AI a plus
Benefits at Old Navy
Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees.
One of the most competitive Paid Time Off plans in the industry.*
Employees can take up to five “on the clock” hours each month to volunteer at a charity of their choice.*
Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.*
Employee stock purchase plan.*
Medical, dental, vision and life insurance.*
See more of the benefits we offer.
*For eligible employees
Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.
Salary Range: $73,400 - $93,600 USD
Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.
HVR Data Engineer
Data analyst job in Santa Clara, CA
Job Title: HVR Data Engineer
Duration: Contract
Contract description:
Design, develop, and maintain data pipelines using High Volume Replicator (HVR) for real-time data replication and integration.
Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions.
Optimize and monitor data workflows in Databricks to ensure efficient processing and storage of large datasets.
Implement and manage data warehousing solutions using Snowflake, ensuring data integrity and security.
Troubleshoot and resolve data-related issues, providing timely support to stakeholders.
Qualifications:
Minimum of 5 years of experience working with High Volume Replicator (HVR) for data replication and integration.
Proficiency in Kubernetes
Strong knowledge of Linux
Strong knowledge of AWS and Azure
Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.
Senior Epic Patient Experience Analyst
Data analyst job in San Francisco, CA
Job Title: Senior Epic Patient Experience Analyst
Job Location: San Francisco CA 95695 and/or Oakland, CA, San Francisco, CA, Sacramento, CA, Alpharetta, GA, Harrisburg, PA, Hybrid 1-2 days a week Onsite Requirements:
1 -8+ years of Epic experience, with a strong focus on Patient Experience modules.
Mandatory Epic certifications in: Welcome, MyChart, Hello World, Cheers (including Campaigns).
Epic analysts with Patient Access, MyChart, or Cadence background who have transitioned into digital patient experience or contact center technology roles
Job Description:
Summary:
Seeking a Senior Epic Patient Experience Analyst to lead and optimize our digital patient engagement and contact center technology initiatives.
This role focuses on driving operational excellence across multiple patient-facing channels and ensuring a seamless digital experience.
The ideal candidate will bring 7+ years of Epic experience, deep expertise in contact center technologies, and mandatory certifications in Epic Welcome, MyChart, Hello World, and Cheers (including Campaigns).
Key Responsibilities:
Lead the design, build, configuration, and optimization of Epic Patient Experience modules: Cheers (Contact Center Technology and Campaigns), Welcome, MyChart, Hello World (SMS, phone, email communications), Live chat and other digital engagement tools.
Serve as the subject matter expert (SME) for patient-facing digital engagement, contact center workflows, and outreach campaigns.
Collaborate with operational and clinical stakeholders to streamline and enhance patient digital journeys and targeted communication strategies.
Oversee integration and performance of third-party platforms (Talkdesk, Genesys, Nuance, etc.) to ensure seamless functionality with Epic.
Plan and execute system upgrades, rigorous testing, and troubleshooting activities.
Mentor junior analysts, providing technical guidance and best practices.
Contribute to strategic planning for digital patient experience innovations, contact center performance, and campaign management.
Acting as the primary support contact for the application's endusers
Identifying issues that arise in their application area as well as issues that impact other application teams, and working to resolve them
Guiding workflow design, building and testing the system, and analyzing other technical issues associated with Epic software
Identifying and implementing requested changes to the system
Serving as a liaison between end users' workflow needs and Epic implementation staff
Maintaining regular communication with Epic representatives, including participating in weekly project team meetings
Working with Epic representatives, your organization's business community, and end users to ensure the system meets the organization's business needs in regard to the project deliverables and timeline
Developing an understanding of operational needs to set the direction for the organization's workflows by attending site visits and other integrated sessions
Participating in training and working with end users
Troubleshooting problems and questions
Reviewing the status of projects and issues on an ongoing basis with leadership
Holding weekly communications with team members to discuss the status of deliverables, shared issues, enduser concerns, budget, and upcoming milestone
Qualifications:
8+ years of Epic experience, with a strong focus on Patient Experience modules.
Mandatory Epic certifications in: Welcome, MyChart, Hello World, Cheers (including Campaigns).
Proven expertise in digital channel management (SMS, phone, email, live chat, MyChart) and contact center workflows.
Strong understanding of healthcare contact center operations and experience with third-party platforms (Talkdesk, Genesys, Nuance, etc.).
Demonstrated leadership in cross-functional projects and stakeholder collaboration.
Excellent analytical, troubleshooting, and communication skills.
Required Skills:
Current Epic analysts with certifications and hands-on experience in Welcome, MyChart, Hello World, and Cheers (including Campaigns).
Epic analysts with a Patient Access, MyChart, or Cadence background who have transitioned into digital patient experience or contact center technology roles.
Analysts with extensive experience integrating Epic with third-party contact center tools and managing patient-facing communication platforms.
Senior Epic professionals who have led implementations, optimizations, or digital transformation projects in the patient engagement space.
**3rd party and subcontract staffing agencies are not eligible for partnership on this position. 3rd party subcontractors need not apply.
This position requires candidates to be eligible to work in the United States, directly for an employer, without sponsorship now or anytime in the future**
Clinical Operations Policy Analyst
Data analyst job in San Francisco, CA
Develop and revise Clinical Operations policies and present these policies to UM Committee and the Policy and Compliance Committee for approval.
Monitor new and updated regulations, APLs, and CMS rules and perform gap analyses to identify compliance risks.
Develop and deliver training on new or updated UM policies to internal staff.
Prepare pre-onsite documentation for external audits (DHCS, DMHC, CMS, NCQA).
Provide administrative support for UM Committee (agendas, minutes, compliance tracking) and ensure UM Committee actions are implemented and documented.
Draft member and provider-facing UM communications (e.g., website and newsletter content).
Develop work plans for achieving goals and implementing projects helping the Clinical Operations team.
Help develop reports and conducting analysis to manage Clinical Operations process improvements and quality efforts.
Work with UM Program Manager and Clinical Operations leadership to facilitate Clinical Operations regulatory and accreditation audit processes.
Create Clinical Operations documents such as DeskTop Processes and reference materials.
Annual Salara between 60-90k depending on experience
Bioinformatician/Research Data Analyst 1
Data analyst job in Stanford, CA
Situated in Stanford's highly dynamic research environment the Curtis Laboratory (**************************************** led by Christina Curtis, PhD, is seeking a bioinformatician/Research Data Analyst 1 to join the Cancer Computational and Systems Biology group. The Curtis Laboratory is administratively situated within the Stanford Cancer Institute and is integrated within Stanford University and the School of Medicine's Departments of Medicine (Oncology) and Genetics. The SCI is part of a Comprehensive National Cancer Institute Cancer Center for cross-disciplinary research in cancer biology involving researchers from oncology, radiobiology, computer science, genetics, statistics, and basic/translational clinical research. Our research couples state-of-the-art computational and experimental techniques to define novel therapeutic targets and biomarkers and to characterize tumor evolution.
The successful candidate will be part of an interdisciplinary research team developing novel technological and methodological approaches to improve the diagnosis, treatment and earlier detection of cancer. He/she will analyze and interpret large sequencing datasets by applying and developing bioinformatics and statistical methods for whole genome/exome sequencing, RNA-seq, ATAC-seq, single cell and spatial datasets. The successful candidate will interact closely with other computational and experimental biologists and clinicians to test, validate, and refine hypotheses. This is a fantastic opportunity for a motivated bioinformatician or computational genomicist to join a dynamic team with significant opportunities for scholarship.
Duties include:
Collect, manage and clean datasets.
Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data.
Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements.
Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions.
Develop reports, charts, graphs and tables for use by investigators and for publication and presentation.
Analyze data processes in documentation.
Collaborate with faculty and research staff on data collection and analysis methods.
Provide documentation based on audit and reporting criteria to investigators and research staff.
Communicate with government officials, grant agencies and industry representatives.
* - Other duties may also be assigned
DESIRED QUALIFICATIONS:
Bachelor's degree (or higher) in Bioinformatics, Computer Science or a related field with one year (min) of relevant experience
Strong background in bioinformatics and biostatistics, including analysis of high-throughput sequencing data
Experience working within a UNIX/Linux environment
Fluency in programming languages such as Perl, Python, Java, R, C, Matlab; MySQL
Excellent communication and team skills and fluency in both spoken and written English
Familiarity with machine learning, information theory and signal processing.
Experience with algorithm development
Familiarity with basic molecular biology
Background in cancer biology
EDUCATION & EXPERIENCE (REQUIRED):
Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
Substantial experience with MS Office and analytical programs.
Strong writing and analytical skills.
Ability to prioritize workload.
PHYSICAL REQUIREMENTS*:
Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
Occasionally use a telephone.
Rarely writing by hand.
* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.
WORKING CONDITIONS:
Some work may be performed in a laboratory or field setting.
WORK STANDARDS:
Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, *******************************
The expected pay range for this position is $82,468 to $106,256 per annum.
Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (***************************************************** provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.
Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form.
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.
Staff Data Scientist - Sales Analytics
Data analyst job in San Jose, CA
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.
Business Analyst III
Data analyst job in Santa Clara, CA
Business Analyst III Duration: Contract We are seeking a highly skilled and experienced Business Analyst III to join our team in Santa Clara, California. The ideal candidate will play a critical role in analyzing business needs, identifying solutions, and ensuring the successful implementation of projects. This is a contract position that requires a detail-oriented professional with excellent communication and problem-solving skills.
Responsibilities:
Analyze and document business requirements and processes.
Collaborate with stakeholders to identify and prioritize business needs.
Develop and present detailed project plans and proposals.
Facilitate meetings and workshops to gather requirements and provide updates.
Work closely with technical teams to ensure solutions align with business objectives.
Monitor project progress and address any issues or risks that arise.
Prepare comprehensive reports and documentation for stakeholders.
Qualifications:
Bachelor's degree in Business Administration, Information Technology, or a related field.
Proven experience as a Business Analyst, preferably at a senior level.
Strong analytical and problem-solving skills.
Excellent communication and interpersonal abilities.
Proficiency in project management tools and methodologies.
Ability to work independently and collaboratively in a team environment.
Experience in the technology industry is a plus.
About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit *****************
At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to:
Pay any fee to be considered for, submitted to, or selected for any opportunity.
Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process.
Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup.
Pay Range: $75hr - $80hr on w2
The specific compensation for this position will be determined by several 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 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 *******************
Senior Industry Analyst - Robotics
Data analyst job in San Jose, CA
.
This confidential company is an independent research firm focused on the semiconductor, artificial intelligence, and robotics sectors. Their work spans the entire technology stack, from hardware and manufacturing processes to advanced AI models and infrastructure.
The team is composed of deep technical experts and market analysts whose insights shape strategy for leading global industry and policy stakeholders. They offer a collaborative, fast-paced environment where analysts directly influence high-impact research in rapidly evolving technology markets.
This is a rare opportunity to make a lasting impact on the future of Physical AI, joining a team that's redefining how robotics innovation is understood, financed, and deployed worldwide.
Role
Lead research and analysis across a broad range of robotics topics - not just humanoid form factors, but intelligent systems spanning industrial, manufacturing, and logistics applications.
Develop and publish high-impact research reports, forecasts, and technical briefings leveraging both public and proprietary data sources.
Track and evaluate key developments in industrial robotics, cobots, autonomous systems, and control software.
Assess how advances in AI, sensors, edge computing, and simulation are reshaping automation capabilities and market structures.
Collaborate across disciplines with semiconductor, AI infrastructure, and industrial technology analysts to develop cross-sector insights.
Support diverse clients - including investors, OEMs, automation providers, and policymakers - with thematic and bespoke analysis.
Present findings to senior executives and clients through reports, calls, and conference presentations.
Qualifications
Bachelor's degree in Robotics, Mechanical/Electrical Engineering, Computer Science, or a related technical field.
3-5+ years of experience in equity research, investment analysis, strategy consulting, or R&D within robotics, automation, or industrial technology.
Strong understanding of robotics hardware, software stacks, and market dynamics (e.g., manipulators, vision systems, motion control, and system integration).
Proven ability to translate technical and market data into actionable insights.
Excellent writing, presentation, and communication skills, capable of producing deep-dive reports and technical primers.
A portfolio of non-confidential client briefings and/or public-domain reports is highly desirable. Self-authored technical work (e.g., Medium, Substack, or Reddit analyses) will also be considered.
Proficiency in Excel; familiarity with Python, SQL, MATLAB, or similar tools is a plus.
Self-driven, intellectually curious, and able to thrive in a fast-paced, global environment.
Bioinformatician/Research Data Analyst 1
Data analyst job in Stanford, CA
Situated in Stanford's highly dynamic research environment, The Kalbasi Lab studies the interface between cancer and the immune system to gain new insights that will inform advances in cancer immunotherapy and radiation therapy.. The lab has a special interest in T cell therapies (CAR-T, TCR-T, TIL) and cytokine therapies, and a disease focus on sarcoma, melanoma and other solid tumors. To achieve this goal, the Kalbasi lab is by necessity versatile and multidisciplinary. The lab integrates cell and protein engineering, T cell immunology, cancer biology, cell signaling, genomics and early phase clinical trials. Each of these approaches has the potential to generate large datasets that require computational analytic approaches. This includes genomic sequencing data (RNA-seq, ATAC-seq, TCR-seq, CITE-seq, whole exome-seq), including bulk and single cell approaches, proteomic data (e.g. phosphoproteomics, cytokine data), and some clinical data. The lab also seeks to employ AI and machine learning approaches for protein design.
The Kalbasi Laboratory is seeking a Computational Biologist /Bioinformatician/Research Data Analyst 1 to manage and analyze high throughput next generation sequencing data from samples acquired from laboratory experiments, clinical trials of cancer patients, and//or publicly available data, as well as to participate in new protein design strategies using emerging AI-tools.
The Kalbasi laboratory is administratively situated within the Stanford University School of Medicine's Department of Radiation Oncology and the Stanford Cancer Institute. As an NCI-designated Comprehensive Cancer Center the Stanford Cancer Institute is a dynamic and stimulating place to work as it maintains the highest level of scientific rigor, institutional support and coordination for the complete range of cancer-related research, including basic, translational, clinical and population-based science.
Duties include:
Collect, manage and clean datasets.
Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data, and for protein design.
Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements.
Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions.
Develop reports, charts, graphs and tables for use by investigators and for publication and presentation.
Analyze data processes in documentation.
Collaborate with faculty and research staff on data collection and analysis methods.
Provide documentation based on audit and reporting criteria to investigators and research staff.
Communicate with government officials, grant agencies and industry representatives.
* - Other duties may also be assigned
DESIRED QUALIFICATIONS:
Bachelor's, MS, or PhD degree in Bioinformatics, Computation Biology or Computer Science or a related field with two years of relevant experience.
Strong background in bioinformatics and biostatistics, including experience with analysis of next-generation sequencing data.
Ideal candidates will also have experience with machine learning/AI tools, and experience with or interest in protein design.
Experience and comfort in working within a UNIX/Linux environment.
Background in programming languages such as Python, R, Matlab, Perl.
Good communication and team skills and fluency in both spoken and written English.
Knowledge of techniques for analyzing tumor purity and clonal heterogeneity.
A background in oncology and/or immunology is preferred.
Knowledge of Monte Carlo based statistical methods.
Background in cancer biology.
Familiarity with predictive modeling and machine learning.
Skills in machine learning and data analysis software.
EDUCATION & EXPERIENCE (REQUIRED):
Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
Substantial experience with MS Office and analytical programs.
Strong writing and analytical skills.
Ability to prioritize workload.
PHYSICAL REQUIREMENTS*:
Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
Occasionally use a telephone.
Rarely writing by hand.
* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.
WORKING CONDITIONS:
Some work may be performed in a laboratory or field setting.
WORK STANDARDS:
Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, *******************************
The expected pay range for this position is $80,148 to $99,773 per annum.
Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (***************************************************** provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.
Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at ************************. For all other inquiries, please submit a contact form.
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job.
Staff Data Scientist - Post Sales
Data analyst job in San Francisco, CA
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 expanding our data science organization to accelerate customer success after the initial sale-driving onboarding, retention, expansion, and long-term revenue growth.
About the Role
As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention.
Key Responsibilities
Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring.
Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value.
Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion.
Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn.
Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals.
Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams.
Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions.
About You
Experience: 6+ years in data science or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment.
Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning.
Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring.
Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy.
Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders.
Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.
Senior Industry Analyst - Robotics
Data analyst job in San Francisco, CA
.
This confidential company is an independent research firm focused on the semiconductor, artificial intelligence, and robotics sectors. Their work spans the entire technology stack, from hardware and manufacturing processes to advanced AI models and infrastructure.
The team is composed of deep technical experts and market analysts whose insights shape strategy for leading global industry and policy stakeholders. They offer a collaborative, fast-paced environment where analysts directly influence high-impact research in rapidly evolving technology markets.
This is a rare opportunity to make a lasting impact on the future of Physical AI, joining a team that's redefining how robotics innovation is understood, financed, and deployed worldwide.
Role
Lead research and analysis across a broad range of robotics topics - not just humanoid form factors, but intelligent systems spanning industrial, manufacturing, and logistics applications.
Develop and publish high-impact research reports, forecasts, and technical briefings leveraging both public and proprietary data sources.
Track and evaluate key developments in industrial robotics, cobots, autonomous systems, and control software.
Assess how advances in AI, sensors, edge computing, and simulation are reshaping automation capabilities and market structures.
Collaborate across disciplines with semiconductor, AI infrastructure, and industrial technology analysts to develop cross-sector insights.
Support diverse clients - including investors, OEMs, automation providers, and policymakers - with thematic and bespoke analysis.
Present findings to senior executives and clients through reports, calls, and conference presentations.
Qualifications
Bachelor's degree in Robotics, Mechanical/Electrical Engineering, Computer Science, or a related technical field.
3-5+ years of experience in equity research, investment analysis, strategy consulting, or R&D within robotics, automation, or industrial technology.
Strong understanding of robotics hardware, software stacks, and market dynamics (e.g., manipulators, vision systems, motion control, and system integration).
Proven ability to translate technical and market data into actionable insights.
Excellent writing, presentation, and communication skills, capable of producing deep-dive reports and technical primers.
A portfolio of non-confidential client briefings and/or public-domain reports is highly desirable. Self-authored technical work (e.g., Medium, Substack, or Reddit analyses) will also be considered.
Proficiency in Excel; familiarity with Python, SQL, MATLAB, or similar tools is a plus.
Self-driven, intellectually curious, and able to thrive in a fast-paced, global environment.