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data scientist

Capgemini

<div><div><div><div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p>
<div><div><div><h2 class="jobSectionHeader"><b>Location</b></h2>
</div><div><p>San Francisco CA</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Your Role</b></h2>
</div><div><p>The GenAI Engineer / Data Scientist is responsible for designing, developing, deploying, and maintaining Generative AI (GenAI) and Predictive AI solutions that deliver business value. The role requires expertise in AI/ML, cloud platforms, APIs, data engineering, MLOps, and AI agent workflows, with a strong focus on production-grade AI implementation.</p><br>
<p><br>
<b>Key Responsibilities</b><br>
</p><p><br>
Develop and deploy Generative AI solutions (GPT, Claude, Stable Diffusion) and Predictive AI models (regression, classification, clustering).
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Design and integrate AI applications using REST APIs, authentication mechanisms, JSON services, and cloud-based architectures.
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Build and support AI agents, autonomous systems, and agentic workflows.
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Deploy, monitor, and optimize AI models in production using MLOps practices.
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Design and maintain data pipelines, data lakes, and data warehouses.
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Monitor model performance, troubleshoot issues, and manage data/model drift.
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Collaborate with business and technical teams to align AI solutions with organizational objectives.
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Create reusable assets, demos, and proof-of-concepts to support innovation and business development.<br>
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</p></div></div><div><div><h2 class="jobSectionHeader"><b>Required Skills and Experience
</b></h2></div><div><p>A hands-on AI professional with strong expertise in Generative AI, Machine Learning, Python, Cloud Technologies, APIs, MLOps, Data Engineering, and AI Agents, capable of building and scaling enterprise-grade AI solutions from development to production.
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Bachelor's degree or higher in AI, Machine Learning, Computer Science, or related field.
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3-5 years of experience in AI, Machine Learning, Data Science, or Application Development.
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Experience with production AI deployments, MLOps, model monitoring, and cloud platforms.</p>
<p>GPT, Claude LLM, Stable Diffusion
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LangChain
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TensorFlow
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PyTorch
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Scikit-learn
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RAG (Retrieval-Augmented Generation)
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AI Agents &amp; Agentic Workflows
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API Development
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REST APIs
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JSON
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HTTP Requests
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Authentication &amp; Tokens
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Error Handling &amp; Debugging<br>
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</p></div></div></div><p>The base compensation range for this role in the posted location is $90,000- $160,000</p>
<p>Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p>
<p>The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p>
<p>These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p>
<p>It is not typical for candidates to be hired at or near the top of the posted compensation range.</p>
<p>In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p>
<p><b>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</b> In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:</p>
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul><p><b>Important Notice:</b> Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p>
<p><b>Disclaimers</b></p>
<p>Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p>
<p>This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p>
<p>Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p>
<p>Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law</p>
<p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div></div></div>

Data Scientist/ AI Engineer

Artificial Analysis

<p></p><div><p><b>Job Description &ndash; Member of Technical Staff</b></p><p><b>
Location: </b>San Francisco (preferred), Sydney, Melbourne, Brisbane</p><p><b>
About Artificial Analysis</b></p><p>
Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don&rsquo;t just measure the cutting edge of AI, they are actively shaping the frontier.</p><p>
Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.</p><p>
We are a team of 40+, on track to double by end of year, backed by Nat Friedman (GitHub, Meta), Daniel Gross (SSI, Meta), Andrew Ng (Google Brain, DeepLearning.ai, Amazon), Adam D&rsquo;Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.</p><p><b>
The Opportunity</b></p><p>
Our benchmarks and analysis are what the industry turns to when they need to understand AI capabilities, from AI labs and enterprises to media, investors, and policymakers. This role puts you at the forefront of the AI Frontier &ndash; you won&rsquo;t just observe the cutting edge of AI, your work will define what cutting edge means.</p><p>
We&rsquo;re hiring Members of Technical Staff to design the evaluations that set the standard for how AI is measured, produce analysis that shapes how companies and the broader industry understand AI, and work directly with the leading AI labs and enterprises who rely on our insights. You&rsquo;ll develop new benchmarking methodologies, manage relationships with some of the most important AI labs and enterprise customers in the world, and help drive the product direction of our platform. The bar for success is becoming a world expert in modern AI technologies.</p><p>
This is a unique combination of product, research, technical, and client-facing work, suited to highly driven technical generalists who thrive on breadth and ownership. Many of our strongest team members come from top-tier strategy consulting backgrounds, though we hire from a range of disciplines.</p><p>
You&rsquo;ll work directly with our founders and across the full team. The people who join now will have an outsized role in shaping both our products and the company itself. The coming wave of AI scaling is going to change the world in ways we don&rsquo;t yet understand - and we&rsquo;re offering a front row seat.</p><p><b>
What You&rsquo;ll Do</b></p><ul><li><b>AI Benchmarking Product Development:</b> Structure, design and execute projects to evaluate AI systems and technologies, including developing new AI evaluation methodologies and datasets that advance our benchmarking capabilities</li><li><b>Strategic Analysis of AI:</b> Drive developing reports and data visualizations to communicate complex AI concepts to enterprises looking to shape their AI strategy</li><li><b>Partner with Leading AI Companies:</b> Collaborate with leading AI companies to support them in benchmarking their technologies, from agentic AI applications to models to hardware. This also requires identifying opportunities to enhance our leading AI benchmarking platform and working with our developers to make it happen</li><li><b>Become AI-Native:</b> Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry and maintain our competitive edge in AI benchmarking</li><li><b>Company Strategy:</b> We are a startup and are looking for the future leaders of Artificial Analysis. Team members will be expected to contribute to company strategy and should expect to drive large initiatives that will support us in being the leading AI benchmarking company</li></ul><p><b>
What We&rsquo;re Looking For</b></p><p>
You have an intense interest in AI, a genuine desire to become a world expert in the field, and strong analytical and coding skills to back it up.</p><p>
We hire MTS from three backgrounds. You should clearly fit one of these profiles:</p><p><b>
Strategy Consulting</b></p><p>
Backgrounds include: Management Consultant, Associate, Engagement Manager, Data Scientist, or similar roles at firms like McKinsey, BCG, Bain, or equivalent. Strong preference will be given to candidates with experience within a Data Analytics division such as QuantumBlack, AI by McKinsey, BCG X or equivalent.</p><p>
You know how to structure ambiguous problems, build analytical frameworks, and communicate findings to senior stakeholders. You&rsquo;re now looking to apply those skills to something deeply technical. The key differentiator: you have a genuine technical interest in AI and ability to code. You follow model releases, you have opinions on where the technology is heading, and you want to be closer to the subject matter than consulting allows.</p><p><b>
AI and Machine Learning</b></p><p>
Backgrounds include: ML Engineer, ML Researcher, AI Engineer, Forward Deployed Engineer, Technical PM, Solutions Engineer, Technical Pre-Sales, or similar roles at AI companies or AI-focused teams.</p><p>
You have hands-on experience with modern AI systems and understand how models work at a technical level. You&rsquo;re looking for a role with more breadth and industry exposure than a pure research, engineering, or PM position, where you can combine technical depth with client-facing work and strategic analysis.</p><p><b>
Technical Product Management</b></p><p>
Backgrounds include: Founding Engineer, Product Manager, Technical Co-founder, Head of Product, or generalist roles at early-stage AI companies.</p><p>
You&rsquo;ve built and shipped AI products in a fast-moving environment where you had to operate across research, engineering, product, and commercial work simultaneously. You understand both how AI systems work technically and how they get brought to market. You&rsquo;re looking for a role where that breadth is the job, not a side effect of being early at a small company.</p><p><b>
Across all three profiles, we require:</b></p><ul><li>3+ years of relevant professional experience</li><li>Strong analytical and critical thinking skills</li><li>Proficiency in Python and data analysis</li><li>Genuine, demonstrable interest and knowledge of Frontier AI. We want people who have informed opinions about where AI is heading, not just people who use AI tools</li></ul><p><b>
Why Artificial Analysis?</b></p><ul><li><b>Shape how AI gets built: </b>The leading AI labs track our benchmarks and use them to guide their development priorities. Your work will directly influence the direction of AI.</li><li><b>Become a world expert in AI</b>: You will evaluate every major model, across every major capability, as they are released. Very few roles offer this breadth of exposure to frontier AI.</li><li><b>Work with the most important players in AI</b>: You&rsquo;ll manage relationships with teams at the leading AI labs and major enterprises as a trusted, independent voice.</li><li><b>Join at a defining moment</b>: We&rsquo;re 40+ people, on track to double by end of year, backed by some of the most connected investors in AI. The people who join now will shape the product, the team, and the strategy as we scale.</li><li><b>Competitive compensation</b> including equity</li></ul><p>
1</p></div>

Member of Technical Staff

WeCare Outsourcing

<p>WeCare Outsourcing is looking for a highly motivated and detail-oriented <strong>Data Analyst</strong> to join our remote team. The successful candidate will analyze business data, prepare reports, identify trends, and provide actionable insights to support informed decision-making.</p><h3>Responsibilities</h3><ul><li>Collect, clean, organize, and analyze data.</li><li>Create reports, dashboards, and data visualizations.</li><li>Monitor KPIs and identify trends or performance gaps.</li><li>Prepare regular and ad-hoc analytical reports.</li><li>Maintain accurate databases and spreadsheets.</li><li>Collaborate with internal teams to support business objectives.</li><li>Ensure data accuracy, consistency, and confidentiality.</li><li>Present findings and recommendations to management.</li></ul><h3>Requirements</h3><ul><li>Bachelor's degree or equivalent experience in Data Analytics, Statistics, Business, Computer Science, or a related field.</li><li>Previous experience in data analysis is preferred.</li><li>Strong Microsoft Excel skills.</li><li>Knowledge of SQL, Power BI, Tableau, or similar tools is an advantage.</li><li>Excellent analytical and problem-solving abilities.</li><li>Strong attention to detail.</li><li>Good written and verbal communication skills.</li><li>Ability to work independently in a remote environment.</li></ul><h3>Compensation &amp; Benefits</h3><ul><li><strong>Competitive hourly pay</strong></li><li>100% Remote / Work From Home</li><li>Flexible working environment</li><li>Career growth opportunities</li><li>Training and professional development</li><li>Supportive remote team</li></ul><p><strong>Apply Today:</strong> Join WeCare Outsourcing and help turn data into meaningful business insights.</p>

Data Analyst

CLERA

<div><h3 class="jobSectionHeader"><b>About the role</b></h3><p>
Join a bootstrap, early-stage AI-powered recruiting startup as a founding engineer focused on building the intelligence layer that connects candidates with startup opportunities. You&rsquo;ll own recommendation systems, ranking algorithms, and LLM-powered matching to surface high-impact opportunities and drive outcomes for candidates and employers.</p>
<h3 class="jobSectionHeader"><b>What you'll do</b></h3>
<ul><li>Own the AI/ML stack, including recommendation systems and ranking algorithms.</li>
<li>Develop LLM-powered matching to improve candidate-role alignment.</li>
<li>Collaborate with cross-functional teams to translate product goals into production-ready features.</li>
<li>Deliver end-to-end features with ownership and rapid shipping to production.</li>
<li>Design and maintain production-grade data pipelines and services integrated with the stack.</li>
</ul><h3 class="jobSectionHeader"><b>What we're looking for</b></h3>
<ul><li>Strong computer science fundamentals and a track record of delivering end-to-end product features in a fast-paced startup environment.</li>
<li>Experience with Cursor, Supabase, Prisma, Typesense, LLM APIs, and trigger.dev in production-grade projects.</li>
<li>Proficiency with TypeScript and React.</li>
<li>Willingness to work in entrepreneurial, hacky environments and in a dedicated coworking/hackerhouse setup.</li>
<li>Open to a 6-day-per-week schedule and ready to contribute in a high-autonomy, early-stage context.</li>
<li>Demonstrates something outstanding about their profile (e.g., strong projects, active GitHub).</li>
</ul><h3 class="jobSectionHeader"><b>Compensation &amp; benefits</b></h3>
<ul><li>Salary range: 130,000 &ndash; 170,000 USD annually.</li>
<li>Visa sponsorship available.</li>
<li>Notes: compensation and benefits reflect an early-stage, high-growth environment.</li>
</ul><h3 class="jobSectionHeader"><b>Location</b></h3>
<p>
Primary location: San Francisco, CA, United States. On-site with a flexible, startup-friendly structure. Remote work policy: on-site</p></div>

Senior Founding Engineer (AI/ML)

Uber

<div><b>About the Role</b>
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Uber Freight Marketplace is building the next generation of logistics technology by leveraging Uber's proven marketplace playbook to freight. As part of a small, high-impact team, you'll help bring expertise from Uber's mobility and delivery marketplaces into a rapidly evolving industry, developing pricing, matching, recommendation, and optimization systems that will disrupt the freight industry ($1T TAM). Uber Freight is at a very early stage, with just 0.4% of the pie now, and it's a rare opportunity to solve challenging marketplace problems with AI/ML and marketplace optimization while shaping how the freight industry transforms.
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We are looking for a highly motivated Machine Learning Engineer to join Uber's Marketplace team to modernize the Uber Freight marketplace team. It is a fascinating area with challenges in predictive modeling, causal inference, constrained optimization, reinforcement learning, marketplace design, etc. The business is about to elevate and this role has a huge growing opportunity.
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<br>
<b>What You'll Do</b>
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This role requires end to end ownership for the ML models in UF marketplace (cost prediction, booking probability, demand elasticity, etc.). While your job is mostly about model development, you will work with backend engineers together to put them in production and make sure they work as expected.
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<br>
<b>Basic Qualifications</b>
<ul><li>6+ years of experience developing ML models to solve business problem.
</li><li>Bachelor's degree in Computer Science, Computer Engineering, or related fields.
</li><li>Familiar with modern AI/ML frameworks (e.g., PyTorch).
</li></ul><b>Preferred Qualifications</b>
<ul><li>Product experience will be a big plus for this role. Adaptive development of ML models to the business context is critical.
</li><li>Previous experience with state-of-the-art marketplace technology is preferred.
</li>Experience with causal inference and constrained optimization<br>
<li>
</li></ul><br>
<br>
For Chicago, IL-based roles: The base salary range for this role is USD $209,000 per year - USD $232,000 per year.<br>
<br>
For New York City, NY-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.<br>
<br>
For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.<br>
<br>
For Seattle, WA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.<br>
<br>
For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.<br>
<br>
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.<br>
<br>
<b>Ready to Ride?</b><br>
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This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.<br>
<br>
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
<br>
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Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.<br>
<br>
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</div>

Staff Machine Learning Engineer

Beyond Trash LLC

<h3>About the role</h3><p>We are seeking a detail-oriented Data Entry Clerk to join our team in San Francisco. This full-time position is ideal for individuals looking to develop their skills in data management and contribute to the efficiency of our operations. The successful candidate will play a crucial role in maintaining accurate records and supporting various departments within the organization.</p><h3>Key responsibilities</h3><ul><li>Accurately input, update, and maintain data in our databases and systems, ensuring the highest level of data integrity and confidentiality.</li><li>Review and verify data for discrepancies, making necessary corrections and adjustments as needed to maintain accuracy.</li><li>Collaborate with team members to gather necessary information and facilitate the seamless flow of data across departments.</li><li>Generate and prepare reports based on data entries, assisting management in decision-making processes and operational improvements.</li><li>Assist in the development and implementation of data entry procedures to enhance workflow efficiency and reduce errors.</li><li>Provide support for data-related inquiries and troubleshoot issues as they arise, ensuring timely resolution and adherence to data standards.</li></ul><h3>Requirements</h3><ul><li>High school diploma or equivalent; additional education in a related field is a plus.</li><li>Proficiency in data entry and experience with database management software; familiarity with Microsoft Office Suite is essential.</li><li>Strong attention to detail and accuracy, with a commitment to maintaining high standards of data integrity.</li><li>Excellent organizational skills and the ability to manage multiple tasks and priorities in a fast-paced environment.</li><li>Good communication skills, both written and verbal, to effectively collaborate with team members and stakeholders.</li><li>Ability to work independently as well as part of a team, demonstrating professionalism and motivation.</li></ul><h3>Nice to have</h3><ul><li>Experience with specific data entry software or CRM systems can provide an advantage in this role.</li><li>Familiarity with data analysis tools or techniques may enhance your contributions to the team.</li><li>Previous experience in an administrative or clerical position could be beneficial for understanding office workflows.</li><li>A continuous improvement mindset, with a proactive attitude towards optimizing data processes and tools.</li><li>Fluency in multiple languages can be an asset in diverse team environments or when handling international data.</li></ul><h3>Why join us</h3><p>Joining our team means becoming part of a dynamic organization that values accuracy, efficiency, and collaboration. You will have the opportunity to grow your data management skills in a supportive environment while contributing to important projects that drive our success. Our company culture promotes professional development and teamwork, allowing you to build lasting relationships and expand your career potential. Experience the rewarding challenges of a fast-paced workplace while making a tangible impact on our operations.</p>

Data Entry Clerk

Gap Inc.

<div><h2 class="jobSectionHeader"><b>About Gap Inc.</b></h2>
<p>At Gap Inc., we create culture as much as we create clothes. Our ambition is to become a high-performing house of iconic American brands that shape culture.</p>
<p>Our portfolio&mdash;Old Navy, Gap, Banana Republic, and Athleta&mdash;each brings a distinct point of view to how we show up in the world and serve our customers.</p>
<p>Old Navy democratizes style with quality and value for all. Gap champions originality through essential pieces that celebrate individuality. Banana Republic is rooted in a spirit of discovery, creating modern pieces inspired by craftsmanship and travel. Athleta champions the Power of She through confidence, strength, and movement.</p>
<p>We&rsquo;re driven by a shared purpose: to bridge gaps&mdash;between people, perspectives, and possibilities&mdash;to create a better world.</p>
<p>We&rsquo;re building a team that performs at a high level&mdash;people who think boldly, take ownership, and turn ideas into impact. If you&rsquo;re ready to learn fast and help shape what&rsquo;s next, you&rsquo;ll fit right in.</p><div><h2 class="jobSectionHeader"><b>
About the role</b></h2><p>
Gap Inc. is transforming how its brands use data and AI to make faster, more precise commercial decisions, and the Senior Analyst, Pricing Optimization is where that analytical work gets executed. This role is the analytical foundation of Old Navy&rsquo;s pricing function&mdash;the person who runs the day-to-day models, prepares the data, validates outputs from pricing agents, and ensures the team has accurate, well-structured analysis ready to inform every pricing and promotional decision.Reporting to the Manager, Pricing Optimization, you will support the execution of specific pricing and promotional analytics work streams&mdash;preparing data, running models, and applying rigorous quality checks to outputs from pricing agents. You will produce clean, accurate analysis that your manager and team bring to Old Navy&rsquo;s business owners and finance partners. This is an individual contributor role designed for someone who is analytically precise, eager to build their skills in an AI-enabled pricing environment, and ready to be a foundational contributor to a function being built from scratch.</p><h2 class="jobSectionHeader"><b>
What you'll do</b></h2><p></p><p><b>
Execute Pricing Analytics and Data Preparation</b></p><ul><li>
Prepare and maintain pricing and promotional data for assigned brand work streams&mdash;pulling, cleaning, and organizing retail data sets so they are accurate, complete, and ready for analysis and modeling.</li><li>
Run pricing models and scenario analyses under the direction of the Manager&mdash;applying elasticity inputs, sensitivity parameters, and promotional variables to generate outputs that are accurate, well-structured, and ready for review.</li><li>
Apply and quality-check outputs from pricing agents across assigned categories&mdash;validating data inputs, flagging anomalies or inconsistencies, and ensuring outputs are accurate before they move forward in the analytical workflow.</li><li>
Support in-season monitoring of pricing actions for assigned work streams&mdash;tracking performance against plan, flagging variances, and surfacing data that helps the team identify risks or optimization opportunities quickly.</li><li>
Use AI reporting tools and pricing platforms as a daily analytical tool&mdash;interrogating outputs with a critical eye, maintaining data integrity, and escalating to the Manager when outputs require additional human review before informing a decision.</li></ul><p><b>
Support Analysis and Reporting</b></p><ul><li>
Assemble analytical work into clean, well-organized supporting materials&mdash;building the data packages, tables, and summaries that your manager brings to business reviews and stakeholder discussions.</li><li>
Prepare data pulls, performance summaries, and analytical inputs for weekly and monthly business reviews&mdash;ensuring pricing performance across assigned categories is accurately captured and clearly organized for the team to build on.</li><li>
Develop your ability to translate analytical outputs into plain commercial framing&mdash;connecting what the data shows to what it means for margin, revenue, or promotional performance, and communicating that clearly in your deliverables.</li><li>
Respond to analytical requests from the pricing team with accuracy and care, building a track record as someone who can be counted on to deliver clean, well-organized work on time.</li></ul><p><b>
Contribute to Building the Pricing Function</b></p><ul><li>
Contribute to the ongoing training and refinement of the brand's pricing agents&mdash;documenting instances where outputs fall short, noting patterns in errors or gaps, and sharing observations with the team to improve model performance over time.</li><li>
Help build shared documentation and analytical standards for the team&mdash;capturing what good looks like in data preparation, output validation, and model quality review so that practices are consistent and repeatable as the function grows.</li><li>
Bring a curious, builder&rsquo;s mindset to a function that is being created from scratch&mdash;asking questions, trying new approaches, and actively contributing ideas about how this team&rsquo;s analytical processes can work better as it scales.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Who you are</b></h2><p></p><p><b>
Experience</b></p><ul><li>
Bachelor&rsquo;s degree required.</li><li>
1-4 years of experience in pricing analytics, demand planning, merchandise planning, commercial analytics, or a related field&mdash;including internship or co-op experience in retail or consumer products.</li><li>
Foundational analytical skills and a strong desire to build proficiency in pricing model execution: data preparation, elasticity inputs, sensitivity analysis, promotional effectiveness, and scenario modeling.</li><li>
Experience or an aptitude for working with AI-generated analytical outputs: you are comfortable applying, reviewing, and quality-checking outputs from pricing agents, and you understand the importance of human oversight before outputs inform decisions.</li><li>
Comfort with reporting and analytics platforms; you learn tools quickly, apply them in your day-to-day analytical work, and are motivated to build fluency as new tools are introduced.</li><li>
Demonstrated ability to produce clean, well-organized analytical work&mdash;data that is accurate, clearly structured, and ready for a manager or team to build on and act from.</li></ul><p><b>
Leadership &amp; Mindset</b></p><ul><li>
Analytically precise: you hold a high personal bar for data accuracy, take ownership of the work you produce, and don&rsquo;t let outputs move forward until you&rsquo;re confident they&rsquo;re right.</li><li>
Commercially curious: you want to understand why the numbers matter, not just how to produce them&mdash;and you actively connect your analytical work to business outcomes like margin, revenue, and promotional performance.</li><li>
Clear and organized communicator: you present data and analysis in a way that is easy to follow&mdash;well-labeled, logically structured, and free of ambiguity about what you&rsquo;re showing and what it means.</li><li>
AI-partnership mindset: you engage with pricing agents and agentic tools with genuine curiosity and appropriate rigor&mdash;applying outputs carefully, asking questions when something doesn&rsquo;t look right, and grounding your work in ethical and brand-aligned judgment.</li><li>
Eager to grow: you bring genuine interest in how pricing, AI, and retail intersect, actively seek to build your skills as the tools and function evolve, and approach your work with a test-and-learn mindset.</li></ul><p></p><p><b>
Salary Range:</b> $93,700.00 - $121,800.00<br>
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.</p></div><h2 class="jobSectionHeader"><b>
Benefits at Gap Inc.</b></h2>
<ul><li>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.</li>
<li>One of the most competitive Paid Time Off plans in the industry.*</li>
<li>Employees can take up to five &ldquo;on the clock&rdquo; hours each month to volunteer at a charity of their choice.*</li>
<li>Extensive 401(k) plan with company matching for contributions up to four percent of an employee&rsquo;s base pay.*</li>
<li>Employee stock purchase plan.*</li>
<li>Medical, dental, vision and life insurance.*</li>
<li>See more of the benefits we offer.</li>
</ul><ul><li><i>For eligible employees</i></li></ul><p>
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.</p></div>

Sr. Analyst Pricing Optimization

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