analyst

data analyst

data analyst, user operations Jobs in San Francisco

data analyst, user operations

data engineer

data platform engineer (scientific data & storage migration)-3 Jobs in San Francisco

data platform engineer (scientific data & storage migration)-3

data scientist

Oscar Health

<div>Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves&mdash;one that behaves like a doctor in the family.

About the role:

The Senior Data Scientist, Advanced Risk Modeling, is a senior individual contributor role focused on utilizing advanced machine learning (ML) and artificial intelligence (AI) methodologies on modern ML platforms. This role will build and deploy sophisticated models to help solve complex business problems specifically within Oscar's risk adjustment domain.

You will report into the Director of Data.

Work Location: This is a remote position, open to candidates who reside in: San Francisco, CA. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote

Pay Transparency: The base pay for this role is: $158,400- $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities:
<ul>
<li>Conduct in-depth data analysis and advanced feature engineering using large, complex healthcare datasets to create robust predictors.
</li>
<li>Design, develop, and validate advanced ML/AI models (e.g., regression/classification, deep learning, NLP, gradient boosting, LLM experimentations) to solve complex clinical and business problems within the risk adjustment domain.
</li>
<li>Leverage modern ML Ops platforms (e.g., Vertex AI) and data science best practices to efficiently train, test, deploy, and maintain production-level models.
</li>
<li>Build and maintain the supporting data systems, analytics, and monitoring infrastructure required for complex, production-level AI/ML systems.
</li>
<li>Research, develop, and evaluate new AI applications using cutting-edge techniques, including LLM models and agentic frameworks, to solve critical business challenges in risk adjustment.
</li>
<li>Work closely with business stakeholders, engineering teams, and product managers to gain a deep understanding of business operations and technical systems.
</li>
<li>Build strong partnerships to foster close, effective integrations between data science, engineering, product, and business units.
</li>
<li>Partner with leaders to identify high-impact opportunities, translate complex business challenges into data science solutions, and ensure successful model implementation within business workflows.
</li>
</ul>Requirements:
<ul>
<li>4+ years of industry or other quantitative technical fields (which may include academia).
</li>
<li>3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data
</li>
<li>3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing
</li>
</ul>Bonus points:
<ul>
<li>Advanced degree in a quantitative or technical field
</li>
<li>Experience in the healthcare, finance and/or insurance industries
</li>
</ul><div>This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.

At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care - an experience made whole by our unique backgrounds and perspectives.

Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.

Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.

Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.

California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.</div></div>

Senior Data Scientist, Advanced Risk Modeling

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/ 
 
About Us: 
 
Twitch is the world&rsquo;s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. 
We&rsquo;re about community, inside and out. You&rsquo;ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We&rsquo;re on a quest to empower live communities, so if this sounds good to you, see what we&rsquo;re up to on LinkedIn and X, and discover the projects we&rsquo;re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process. 
 
About the Role 
 
As a data engineer in the Data Platform organization, you will be transforming Twitch&rsquo;s largest data sets into offerings that are usable by the entire company. You&rsquo;ll be working with other senior team members, as well as other data engineers, scientists, and stakeholders from all across the business. You will help define how our core business metrics are managed, as well as how other parts of the company define their individual metrics. 
 
You Will 
<ul><li>Work closely with data scientists and engineers from across the company to define and create robust data architectures and pipelines</li><li>Develop and manage scalable data pipelines to extract, transform, and load data from various sources</li><li>Partner with a range of stakeholders to translate the company&rsquo;s needs into data offerings</li><li>Automate data processing and reporting workflows to improve efficiency and data integrity</li><li>Implement data quality checks and monitor processes to maintain high data accuracy</li><li>Simplify and enhance the accessibility, clarity, and usability of large and complex datasets through the development of data cubes and data sharing solutions</li></ul> 
Perks 
<ul><li>Medical, Dental, Vision &amp; Disability Insurance</li><li>401(k)</li><li>Maternity &amp; Parental Leave</li><li>Flexible PTO</li><li>Amazon Employee Discount</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of data engineering experience</li><li>3+ year of experience working in a data engineering, data science, or software engineering capacity</li><li>Expertise in writing and maintaining robust data pipelines in SQL and Python</li><li>A track record of turning data requirements from stakeholders into actionable plans</li><li>Experience with cloud-native solutions</li><li>A history of implementing and upholding best practices in data pipelines, ensuring accuracy, consistency, and reliability</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Bachelor's degree, or Master's degree in computer science, statistics, information systems, or a related, technical field</li><li>Experience with a scripting language (e.g., Python, Java, or R)</li><li>Familiarity and interest in Twitch!</li></ul> 
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Data Engineer

OpenAI

<div>
 
 About The Team
 
 
 
 The User Operations team is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. Given OpenAI&rsquo;s breakneck shipping cadence and growth&mdash;and the expectation that it will only accelerate&mdash;transforming our rich support data into real‑time insights and scalable, self‑serve analytics is critical to sustaining exceptional customer experiences on the path to AGI.
 
 
 
 About The Role
 
 
 
 We&rsquo;re seeking a User Operations Data Analyst who will dig deep into user‑support data&mdash;surfacing trends, volumes, and friction signals&mdash;and turn these findings into actionable insights and always‑on reporting. You&rsquo;ll design, build, and maintain self‑serve dashboards that keep every stakeholder informed in real time, partnering closely with Data Science and Engineering to ensure clean pipelines, robust models, and scalable tooling. Think proactive friction detection and real‑time service‑health views that help us stay ahead of demand&mdash;delivering decision‑grade insights, not just prettier slide decks.
 
 
 This role is based in San Francisco, California. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Explore large support and product datasets to uncover trends, volume drivers, and user‑experience pain points, distilling findings into clear, actionable narratives.
 </li>
 <li>
 Build, enhance, and maintain self‑serve dashboards and reporting tools, enabling non‑technical teams to answer their own data questions.
 </li>
 <li>
 Establish a unified metrics taxonomy for service‑health and performance&mdash;and build automated data‑sharing pipelines and scorecards with our BPO partners to ensure everyone operates from the same real‑time view of success
 </li>
 <li>
 Leverage LLMs to build bespoke classifiers that automatically label and segment inbound volumes&mdash;powering smarter routing, richer self‑serve insights, and swifter root‑cause analysis.
 </li>
 <li>
 Partner with Data Engineering to ensure reliable pipelines, implement data‑quality checks, and document sources of truth.
 </li>
 <li>
 Jump into high‑priority special projects to conduct bespoke deep‑dive analyses and deliver clear, strategic recommendations to leadership.
 </li>
 <li>
 Prototype quickly&mdash;leveraging ChatGPT, Jupyter notebooks, Retool, and other tools&mdash;to prove value before hardening with Engineering.
 </li>
 <li>
 Collaborate with Data Science on predictive models and experimentation, translating results into operational recommendations.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 8 + years in analytics, business intelligence, or data science, ideally supporting customer support or operations teams.
 </li>
 <li>
 Expert‑level SQL skills and proficiency in Python or R for advanced analysis and automation
 </li>
 <li>
 Hands‑on experience designing and maintaining BI dashboards (e.g. Looker, Mode, Tableau, Sundial) with a focus on clarity and self‑serve usability.
 </li>
 <li>
 Hands‑on experience fine‑tuning or prompt‑engineering LLMs to build text classifiers, sentiment analysis, or tagging systems.
 </li>
 <li>
 Demonstrated ability to translate complex datasets into clear business stories and recommendations for both technical and non‑technical audiences.
 </li>
 <li>
 Familiarity with support metrics (SLAs, FCR, deflection) and ability to define service health KPIs.
 </li>
 <li>
 Strong cross‑functional communication skills&mdash;comfortable collaborating daily with engineers, data scientists, and operations leaders.
 </li>
 <li>
 An eye for detail, a zero‑defect mindset, and a bias toward action over theoretical perfection
 </li>
 <li>
 Possess a strong bias for automation and can defend governance decisions that keep data and processes healthy as they grow.
 </li>
 <li>
 Thrive in a fast‑moving, ambiguous environment where priorities can shift quickly.
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
 
 Compensation Range: $235K
 
 
</div>

Data Analyst, User Operations

Solomon Page

<div>
 We are looking for a freelance Data Analyst for a top fashion company in San Francisco, CA! We are seeking a Data Analyst and Data Visualization Specialist to support the Merchandise Planning and Inventory Management data analytics and reporting team. The responsibilities include delivering a suite of analytical products such as analyses, dashboards, insights, and recommendations. Collecting, analyzing, and presenting data to enhance strategic decision-making and tracking the benefits of data products are key aspects of the role.
 
 
 <ul>
 <li>
 $40.00-45.00 hourly pay rate
 </li>
 <li>
 Location: Onsite in San Francisco, CA
 
 
 
 </li>
 </ul>
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Conduct analysis on complex retail data, measure and track data created by data products, and convert them into key KPI metrics.
 </li>
 <li>
 Support business stakeholders and regional data analysts by understanding their needs and providing guidance and support.
 </li>
 <li>
 Create dashboards to track the adoption and business impact of launched features and data products.
 </li>
 <li>
 Dive deep into complex business problems, provide insights, and partner with cross-functional teams on implementation.
 </li>
 <li>
 Collaborate with data science, data analytics, and product managers on planning, goal setting, and prioritization.
 </li>
 <li>
 Work with data and engineering teams to improve data quality, data analysis, and business debugging.
 
 
 
 </li>
 </ul>
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 A Bachelor's degree in Economics, Statistics, Data Science, or Data Engineering (a Master's degree is a plus) or equivalent experience.
 </li>
 <li>
 Over 3 years of professional experience in analyzing complex data, drawing conclusions, and making recommendations.
 </li>
 <li>
 More than 3 years of applied data visualization experience, with proficiency in Looker or PowerBI.
 </li>
 <li>
 At least 3 years of experience in extracting and manipulating large data sets from various relational databases using SQL (experience with Google BigQuery or MSsql).
 </li>
 <li>
 Experience with data integration tools such as Data Fusion, Alteryx, or Dataiku is a plus.
 </li>
 <li>
 Coding skills in at least one statistical or programming language (preferably Python or R) to import, summarize, and analyze data is a plus.
 
 
 
 </li>
 </ul>
 If you meet the required qualifications and are interested in this role, please apply today.
 
 
 
 The Solomon Page Distinction
 
 
 
 Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve.
 
 
 
 About Solomon Page
 
 
 
 Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook, and LinkedIn.
 
 
 Opportunity Awaits.
 
 
</div>

Data Analyst

LendingClub

<div><h3 class="jobSectionHeader">Current Employees of LendingClub: Please apply via your internal Workday Account</h3>
LendingClub Corporation (NYSE: LC) is the parent company of LendingClub Bank, National Association, Member FDIC. We are the leading digital marketplace bank in the U.S., having helped our nearly 5 million members secure over $90 billion in loans to refinance high-cost debt and achieve their financial goals. Members today have mobile-first access to a growing range of products and services designed to work seamlessly together to deliver value in new ways. Everyone deserves a better financial future, and our team is committed to making that a reality. Join the Club!<h2 class="jobSectionHeader">
About the Role</h2>
DebtIQ is LendingClub&rsquo;s first true engagement product &mdash; built to help millions of people take control of their debt. We&rsquo;re starting with credit cards, but our ambition is broader: to give members deep visibility into their obligations and an actionable path to pay them down.
 
 
We&rsquo;re looking for a Sr Product Analyst to be the insight engine of our small, high-talent pod that operates like a startup within LendingClub. You&rsquo;ll work directly with the senior Product Managers and engineers, reporting to the former CEO of Cushion (acquired by LendingClub in April 2025).
 
 
This role is embedded in the product pod &mdash; focused on experiments, insights, and defining the moments that matter most for our members. You&rsquo;ll dig deep into quantitative data, marry it with qualitative insights, and surface the levers that move the product. You&rsquo;ll design experiments, measure outcomes, and help the team understand the &ldquo;magic moments&rdquo; that keep members coming back.<h2 class="jobSectionHeader">
What You'll Do</h2><div><ul><li>
Instrument the product for learning: design clean event tracking and ensure every experiment, funnel, and feature can be measured</li><li>
Dig into the data &mdash; write queries, scripts, and analyses that go beyond dashboards to uncover non-obvious insights</li><li>
Watch user replays, dogfood the app, and combine qualitative and quantitative signals to understand member behavior</li><li>
Define and track the leading indicators, core KPIs, and signals that show whether DebtIQ is delivering value</li><li>
Perform &ldquo;surgery on the data&rdquo; to find hidden friction, unexpected drop-offs, or untapped engagement loops</li><li>
Partner with PMs and engineers to design clean experiments, measure outcomes, and surface insights that inform next steps</li><li>
Tell compelling stories with data &mdash; translating messy numbers into crisp insights that drive clarity and better decisions</li></ul></div><h2 class="jobSectionHeader">
About You</h2><div><div><ul><li>
3&ndash;5+ years in growth analytics, product analytics, or data science roles at a consumer tech company (fintech a plus)</li><li>
Bachelor's degree or higher in Analytics or related field; or equiivalent work experience
</li><li>Hands-on technical: fluent in SQL (required), comfortable writing scripts (Python, R, or similar), and eager to learn whatever tool gets the job done</li><li>
Scrappy and experimental: you tinker with side projects, automate your own workflows, and aren&rsquo;t afraid to hack together a solution</li><li>
Strong growth/product sense: you don&rsquo;t just analyze data, you know what levers matter and how they impact the user journey</li><li>
Comfortable navigating ambiguity and solving gnarly, open-ended problems</li><li>
Great communicator: you can turn raw data into a clear story that moves the team to action</li><li>
Curious about AI: you&rsquo;ve tinkered with AI tools or vibe coded on your own time, and you&rsquo;re excited to bring that scrappiness into the product</li></ul> 
</div></div><div><div>Why Join the Club?</div><div><ul><li>
Be part of a tight-knit pod that runs like a startup inside a scaled public company
</li><li>Work directly with senior leadership and former founders, with the opportunity for your insights to directly influence experiments and priorities</li><li>
Have outsized impact: your analyses will inform key product decisions, ensure we&rsquo;re measuring what matters, and help shape the narrative for internal stakeholders, our board, and even the market</li><li>
Help shape DebtIQ into the daily command center for debt, while building LendingClub&rsquo;s next chapter as a modern digital bank</li></ul>
Work Location
 
San Francisco 
 
The above locations are eligible offices for this role. The locations have been determined to foster in-person collaboration with this role&rsquo;s team or the related business lines. We utilize a hybrid work model, and our teams are in-office Tuesdays, Wednesdays, and Thursdays. In-person attendance is essential for this role&rsquo;s success, and remote placement will not be considered. LendingClub offers relocation, based on actual job level.
 
 
Time Zone Requirements
 
Primarily PT 
 
While the position will primarily work local hours, LendingClub is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary. 
 
Travel Requirements
 
As needed travel to LendingClub offices and/or other locations, as needed.
 
 
Compensation
 
The target base salary range for this position is 125,000-140,000. The base salary of the role will be determined by job-related knowledge, experience, education, skills, and location. Base salary is just one part of LendingClub&rsquo;s Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance, employee performance and eligible earnings). 
 
We&rsquo;re creating new financial services solutions for our members based on fairness, simplicity, and heart, and we treat our employees the same way. We offer a competitive benefits package that includes medical, dental and vision plans for employees and their families, 401(k) match, health and wellness programs, flexible time off policies for salaried employees, up to 16 weeks paid parental leave and more.
 
 
#LI-Hybrid
 
#LI-BC1 
</div></div> 
LendingClub is an equal opportunity employer and dedicated to diversity, equity, and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status, political views or activity, or other applicable legally protected characteristics. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system. 
We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at interviewaccommodations@lendingclub.com.</div>

Sr Product Analyst

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
The People eXperience and Technology Central Science (PXTCS) team uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. PXTCS is an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. 
 
PXTCS is looking for an economist who can apply economic methods to address business problems. The ideal candidate will work with engineers and computer scientists to estimate models and algorithms on large scale data, design pilots and measure impact, and transform successful prototypes into improved policies and programs at scale. PXTCS is looking for creative thinkers who can combine a strong technical economic toolbox with a desire to learn from other disciplines, and who know how to execute and deliver on big ideas as part of an interdisciplinary technical team. 
Ideal candidates will work in a team setting with individuals from diverse disciplines and backgrounds. They will work with teammates to develop scientific models and conduct the data analysis, modeling, and experimentation that is necessary for estimating and validating models. They will work closely with engineering teams to develop scalable data resources to support rapid insights, and take successful models and findings into production as new products and services. They will be customer-centric and will communicate scientific approaches and findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions. 
 
A day in the life 
The Economist will work with teammates to apply economic methods to business problems. This might include identifying the appropriate research questions, writing code to implement a DID analysis or estimate a structural model, or writing and presenting a document with findings to business leaders. Our economists also collaborate with partner teams throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions. 
 
About the team 
PXTCS is a multidisciplinary science team that develops innovative solutions to make Amazon Earth's Best Employer<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD in economics or equivalent</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>2+ years of industry, consulting, government, or academic research experience</li><li>Knowledge of at least one statistical software package such as R, Stata, Matlab, SAS</li><li>Experience in prediction and forecasting in a research or industrial environment</li><li>Experience with handling of large datasets</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Economist, People Experience and Technology Central Science

Alignerr

<div>
 
 Role Overview
 
 
 
 The
 
 Clinical Trial Research Scientist
 
 evaluates clinical study protocols, trial designs, endpoints, statistical plans, and study results. This role emphasizes methodological rigor, documentation clarity, and accurate interpretation of safety and efficacy outcomes.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Review clinical trial protocols and identify methodological strengths or gaps
 </li>
 <li>
 Analyze endpoints, inclusion/exclusion criteria, and study controls
 </li>
 <li>
 Interpret trial results and summarize safety and efficacy findings
 </li>
 <li>
 Validate statistical analysis plans for completeness and accuracy
 </li>
 <li>
 Identify operational or scientific risks in trial execution
 </li>
 <li>
 Support recurring evaluations of clinical documentation and study outputs
 
 
 </li>
 </ul>
 
 Must-Have
 
 
 
 
 What You Bring
 
 
 
 <ul>
 <li>
 Experience in clinical research, biostatistics, or pharmaceutical science
 </li>
 <li>
 Strong understanding of trial methodology and regulatory standards
 </li>
 <li>
 Ability to interpret trial data and communicate findings clearly
 
 
 </li>
 </ul>
 
 Nice-to-Have
 
 
 
 <ul>
 <li>
 Experience with Phase I&ndash;IV trials or specific therapeutic areas
 </li>
 </ul>
</div>

Clinical Trial Research Scientist

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