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data engineer, people analytics Jobs in San Francisco

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data scientist operations Jobs in San Francisco

data scientist operations

senior data scientist

Pinterest

<div><div>About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.</div>
Pinterest is seeking an experienced Staff Data Scientist to join our Finance &amp; Business Operations team. This is a hybrid data-science / applied-AI / product-engineering role inside Pinterest's CFO organization. It sits at the intersection of forecasting and finance analytics, internal tool-building, and AI adoption &mdash; and the person in it is expected to operate across all three.

The core mandate is to make the CFO org's forecasting and planning work faster, be more rigorous, and more self-serve. In practice that has meant owning a forecasting product end to end (data pipeline through user-facing UI), partnering directly with Finance, BizOps, and Core/Monetization stakeholders to embed it in their workflows, and turning the company's emerging AI platform capabilities into tools that finance teams actually use day to day.

This is a high-autonomy, high-trust individual-contributor role with broad cross-functional reach. 


What you'll do:
<ul>
<li>Own forecasting tooling end to end. Build and maintain the team's primary forecasting workbench &mdash; from the underlying data and forecast logic through the interactive web UI that planners use to create, adjust, and review forecasts. This spans baseline vs. adjusted forecast modeling, scenario/delta workflows, backtesting, and diagnostics (year-over-year and month-over-month seasonality, engagement rates, and similar).</li>
<li>Ship product, not just analysis. Design and build user-facing features: chart and visualization work, guided onboarding, history/audit views, region and time-grain filtering, performance optimization, and the kind of polish and bug-fixing that makes an internal tool feel like a real product. Instrument usage (collect and analyze raw logs) and let adoption data drive the roadmap.</li>
<li>Drive AI adoption across Finance &amp; BizOps. Take platform-level AI capabilities and turn them into concrete, trusted tools for finance users. Bring structured business cases (not wishlists) to platform/IT partners, pilot new capabilities, and write the enablement material &mdash; walkthroughs, documentation, &quot;where to get started&quot; guidance &mdash; that gets non-technical teams productive.</li>
<li>Stay ahead of the AI capability curve. A significant part of this role is forward-looking: continuously read and interpret AI research (papers, model and tooling releases) and translate it into a grounded point of view on what will be possible in the next 6&ndash;12 months. Track the engineering roadmap closely, understand what platform capabilities are landing and when, and connect those dots to concrete opportunities for the CFO org &mdash; so the team builds for where AI is going, not just where it is today.</li>
<li>Set AI strategy and guide executives. Turn that capability foresight into strategy: shape the CFO org's AI roadmap, prioritize where to invest, and advise senior leaders and executives on what's real, what's hype, and what to bet on. Communicate complex AI and technical trade-offs in plain, decision-ready terms, and act as a trusted technical advisor in executive conversations.</li>
<li>Deliver recurring finance analytics. Support core CFO-org deliverables: budget-vs-actuals (BVAs), variance commentary, executive slide/deck preparation, and metric diagnostics (e.g., MAU and revenue diagnostics), including catching and resolving data-quality issues.</li>
<li>Partner broadly and communicate clearly. Work directly with Finance, BizOps, Monetization, and platform/IT stakeholders. Translate ambiguous business questions into tooling and analysis, post clear release notes and stakeholder updates, and run live walkthroughs and training sessions.</li>
<li>Set technical and analytical standards. raise the bar on rigor (validation, backtesting, sound metric definitions), make pragmatic build-vs-buy and scope calls, and create artifacts and documentation durable enough to outlive any single contributor.</li></ul> 
 
What we're looking for:
<ul>
<li>Data science &amp; forecasting</li>
<li>Strong applied background in time-series forecasting and quantitative analysis: baseline construction, scenario/adjustment modeling, backtesting and forecast-accuracy evaluation, and seasonality analysis (y/y, m/m).</li>
<li>Fluency in turning messy business questions into well-defined metrics and diagnostics; rigorous about metric definitions, data quality, and validation.</li>
<li>Advanced SQL and proficiency in a primary analysis language (Python strongly preferred); comfort working directly with data warehouses and large datasets.</li>
<li>Engineering &amp; tool-building</li>
<li>Demonstrated ability to build and ship internal web tools, not just notebooks or one-off analyses &mdash; meaningful front-end / full-stack capability (e.g., JavaScript/TypeScript, modern UI frameworks, interactive data visualization).</li>
<li>Practical product-engineering instincts: UX/usability sense, performance debugging and optimization, handling state/data edge cases, and disciplined release hygiene (testing, build/lint, changelogs).</li>
<li>Experience building dashboards and self-serve analytics (e.g., Superset, Tableau, Looker, or equivalent).</li>
<li>Applied AI</li>
<li>Hands-on experience applying modern AI/LLM tooling to real workflows &mdash; prototyping with AI assistants, agentic/MCP-style tooling, or internal AI platforms &mdash; and a track record of moving from experiment to adopted tool.</li>
<li>Ability to build the business case for AI investment and to drive adoption with non-technical users (enablement, documentation, training).</li>
<li>AI foresight &amp; strategy (critical)</li>
<li>Demonstrated habit of staying current with AI research and the broader landscape: able to read papers and model/tooling release notes and form a credible, independent view of what will be feasible 6&ndash;12 months out.</li>
<li>Able to interpret an engineering roadmap and reconcile it with where the technology is heading &mdash; translating both into a concrete capability plan for the business.</li>
<li>Strong product/business strategy instincts: prioritizing AI investments, sequencing bets, and distinguishing durable capability from hype.</li>
<li>Executive influence</li>
<li>Proven ability to advise and guide senior leaders and executives on technical and AI strategy, and to make complex trade-offs legible to a non-technical executive audience.</li>
<li>Comfortable being the trusted technical voice in the room &mdash; framing decisions, managing expectations, and earning credibility with both finance leadership and engineering/platform partners.</li>
<li>Scope, ownership &amp; communication</li>
<li>Staff-level autonomy: can independently scope, prioritize, and deliver multi-month efforts with minimal direction, and make sound trade-off calls.</li>
<li>Excellent written and verbal communication; can write for executives and for end users, and can run live training and walkthroughs.</li>
<li>Strong cross-functional collaboration across finance, operations, and technical/platform partners.</li>
<li>Experience</li>
<li>Minimum of 8 years of relevant experience in data science, analytics engineering, or applied ML.</li>
<li>Bachelor's degree in a quantitative field (e.g., statistics, computer science, economics, engineering, math) or equivalent practical experience; advanced degree is a plus.</li></ul> 


Relocation Statement:
<ul>
<li>This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.</li></ul> 


In-Office Requirement Statement:
<ul>
<li>We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.</li>
<li>This role will need to be in the office for in-person collaboration1-2 times every 6-months and therefore can be situated anywhere in the country.</li> 
</ul>
#LI-NM4

#LI-REMOTE<div>
Our Commitment to Inclusion:
<div>
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.</div>
<div></div>
<div>By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.</div></div></div>

Staff Data Scientist, Finance & Business Ops

Capgemini

<div><div><div><div>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.
<div><div><div><h2 class="jobSectionHeader">Location</h2>
</div><div>San Francisco CA
</div></div><div><div><h2 class="jobSectionHeader">Your Role</h2>
</div><div>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. 
 
Key Responsibilities 
 
Develop and deploy Generative AI solutions (GPT, Claude, Stable Diffusion) and Predictive AI models (regression, classification, clustering).
 
Design and integrate AI applications using REST APIs, authentication mechanisms, JSON services, and cloud-based architectures.
 
Build and support AI agents, autonomous systems, and agentic workflows.
 
Deploy, monitor, and optimize AI models in production using MLOps practices.
 
Design and maintain data pipelines, data lakes, and data warehouses.
 
Monitor model performance, troubleshoot issues, and manage data/model drift.
 
Collaborate with business and technical teams to align AI solutions with organizational objectives.
 
Create reusable assets, demos, and proof-of-concepts to support innovation and business development. 
 
 
</div></div><div><div><h2 class="jobSectionHeader">Required Skills and Experience
</h2></div><div>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.
 
Bachelor's degree or higher in AI, Machine Learning, Computer Science, or related field.
 
3-5 years of experience in AI, Machine Learning, Data Science, or Application Development.
 
Experience with production AI deployments, MLOps, model monitoring, and cloud platforms.
GPT, Claude LLM, Stable Diffusion
 
LangChain
 
TensorFlow
 
PyTorch
 
Scikit-learn
 
RAG (Retrieval-Augmented Generation)
 
AI Agents &amp; Agentic Workflows
 
API Development
 
REST APIs
 
JSON
 
HTTP Requests
 
Authentication &amp; Tokens
 
Error Handling &amp; Debugging 
 
 
 
 
</div></div></div>The base compensation range for this role in the posted location is $90,000- $160,000
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.
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.
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.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
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.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
<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>Important Notice: 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.
Disclaimers
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.
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.
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.
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
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.</div></div></div></div>

Data Scientist/ AI Engineer

Artificial Analysis

<div>Job Description &ndash; Member of Technical Staff
Location: San Francisco (preferred), Sydney, Melbourne, Brisbane
About Artificial Analysis
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.
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.
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.
The Opportunity
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.
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.
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.
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.
What You&rsquo;ll Do<ul><li>AI Benchmarking Product Development: 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>Strategic Analysis of AI: Drive developing reports and data visualizations to communicate complex AI concepts to enterprises looking to shape their AI strategy</li><li>Partner with Leading AI Companies: 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>Become AI-Native: 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>Company Strategy: 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>
What We&rsquo;re Looking For
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.
We hire MTS from three backgrounds. You should clearly fit one of these profiles:
Strategy Consulting
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.
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.
AI and Machine Learning
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.
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.
Technical Product Management
Backgrounds include: Founding Engineer, Product Manager, Technical Co-founder, Head of Product, or generalist roles at early-stage AI companies.
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.
Across all three profiles, we require:<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>
Why Artificial Analysis?<ul><li>Shape how AI gets built: 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>Become a world expert in AI: 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>Work with the most important players in AI: You&rsquo;ll manage relationships with teams at the leading AI labs and major enterprises as a trusted, independent voice.</li><li>Join at a defining moment: 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>Competitive compensation including equity</li></ul>
1</div>

Member of Technical Staff

TEEMA Group

<div><h2 class="jobSectionHeader">Senior Center Transportation Supervisor</h2><h3 class="jobSectionHeader">
Role Summary</h3>
Are you a bilingual logistics or transportation leader looking to align your operational expertise with a profound community mission? We are seeking a dynamic Senior Center Transportation Supervisor to manage the day-to-day operations of our specialized day services transportation department. In this critical leadership role, you will oversee fleet maintenance, optimize daily driving schedules, map efficient routes, and provide direct supervision and training to a dedicated team of drivers. Balancing hands-on leadership with administrative governance, you will ensure our vulnerable seniors are transported safely and our community meal programs are delivered flawlessly. If you are an adaptable, detail-oriented supervisor who thrives in a highly collaborative, compliance-driven framework, we invite you to steer our fleet toward excellence.<h3 class="jobSectionHeader">
Duties &amp; Responsibilities</h3><h4 class="jobSectionHeader">
Driver Operations &amp; Team Leadership</h4><ul><li>
Operational Command: Direct daily driver operations, including building driver schedules, optimizing transport routes, coordinating meal deliveries, and overseeing supply pick-ups and department inventory.</li><li>
Staff Mentorship &amp; Supervision: Provide day-to-day supervision, real-time coaching, and professional development to the driving team, promoting a highly accountable and compassionate work culture.</li><li>
Training Facilitation: Lead and enforce all driver training requirements, executing thorough onboarding for new hires and managing ongoing compliance and safety refreshers.</li><li>
Continuity of Care: Cross-train extensively in all department roles and step in to drive or coordinate field operations when necessary to prevent service disruptions during staffing shortages or leave coverages.</li></ul><h4 class="jobSectionHeader">
Fleet Stewardship, Safety &amp; Compliance</h4><ul><li>
Fleet Oversight: Manage the organization's vehicle fleet, overseeing rigorous preventative maintenance schedules, ongoing repairs, asset monitoring, and strict vehicle infection control protocols.</li><li>
Safety &amp; Quality Control: Champion fleet and driver safety by conducting regular field audits, compliance checks, mandatory pre-trip inspections, and comprehensive driver safety monitoring.</li><li>
Regulatory Governance: Ensure absolute compliance with California Title 22 regulations, Department of Public Health standards, and organizational safety policies.</li><li>
Zone Management: Monitor and strictly enforce building loading zones (white and yellow zones), maintaining clear, professional communication with municipal entities, external vendors, and partner delivery services.</li></ul><h4 class="jobSectionHeader">
Cross-Functional Collaboration</h4><ul><li>
Interdisciplinary Alignment: Partner and coordinate seamlessly with regional healthcare and program coordinators, participating actively in cross-functional meetings to align logistics with participant care plans.</li><li>
Incident Management: Handle, document, and report all vehicle incidents, accidents, or property damage immediately, providing detailed analytical summaries to senior leadership.</li></ul><h3 class="jobSectionHeader">
Required Qualifications</h3><ul><li>
Language Capabilities: Fluent bilingual proficiency in Spanish and English is required to effectively lead staff and communicate with participants.</li><li>
Licensure: A valid California Driver&rsquo;s License maintained alongside an unencumbered, safe driving record.</li><li>
Leadership Acumen: Strong communication and supervisory skills, with a proven ability to report effectively to senior management, influence peers, and manage vendor partnerships.</li><li>
Core Competencies: Exceptional flexibility, mature judgment, problem-solving creativity, and strong interpersonal skills.</li><li>
Physical Capability &amp; Lifting: Ability to stand, walk, sit, and move frequently; ability to frequently lift, carry, and maneuver objects weighing up to 100 lbs. with mechanical support or team assistance as required.</li></ul><h3 class="jobSectionHeader">
Desired Qualifications</h3><ul><li>
Specialized Background: Prior supervisory experience within senior care facilities, community food delivery networks, or medical transportation programs regulated by California Title 22 is highly preferred.</li><li>
Technical Aptitude: Strong basic computer skills, including experience utilizing digital scheduling software, map routing tools, and data-entry platforms.</li></ul><h3 class="jobSectionHeader">
Location and Work Type</h3><ul><li>
Work Type: Full-Time, Permanent Supervisory Position.</li><li>
Work Setting: On-site corporate and facility-based leadership integrated with real-time field supervision and occasional driving duties.</li><li>
Schedule: Consistent daytime schedule. (Note: Work sites, route structures, and shift hours may be adjusted dynamically to adapt to changing senior program demands).</li></ul>
If you're interested, please reply to this advertisement or directly email your resume to me at DSalgado@teemagroup.com or by calling/texting (949) 295-5951.
I strive to reply within 48 hours. Looking forward to connecting with you soon. Thank you!
#Workwolf</div>

SR. Center Transportation Supervisor

Exploratorium

<div>SUMMARY
The Financial Analyst is a key partner in achieving the Exploratorium&rsquo;s mission and vision by providing financial guidance, support, and analysis to senior management and multiple departments within the organization. The Financial Analyst serves as a primary financial planning authority for assigned departments and leads cross-functional finance processes across the organization. The Financial Analyst exercises independent judgment and management-level authority over financial modeling, planning methodologies, and system administration within their portfolio of responsibility. The Financial Analyst brings their interest in both details and big picture concepts to communicate financial performance compared to budget, short-term and long-term business performance in their areas of responsibility, and other financial analysis as needed. The Financial Analyst owns financial planning infrastructure and stewards execution across departments. This position reports to the Director of Financial Planning &amp; Analysis. 
ESSENTIAL FUNCTIONS<ul><li>
Own and lead the annual budgeting and quarterly forecasting processes for assigned divisions.</li><li>
Work with Financial Analyst peers to prepare budget and forecast packages, including explanatory narratives, variance analysis, and presentation materials.</li><li>
Provide independent financial oversight across cost centers and departments within assigned portfolio.</li><li>
Create financial models for specific high-visibility projects or scenarios to facilitate operational or strategic decision-making.</li><li>
Identify financial risks and opportunities and provide strategic recommendations to department and senior leadership.</li><li>
Review data at the cost center/project level, division/consolidated group level, and organization level; ensure integrity of the submitted data.</li><li>
Improve financial outcomes by analyzing results, monitoring variances, identifying trends, and recommending actions to budget owners.</li><li>
Prepare presentation-ready financial reports, charts, tables, written summaries, and other materials.</li><li>
Acts as a financial business partner to department heads and senior managers, guiding budget decisions and financial strategy for assigned portfolios.</li><li>
Serves as the financial planning authority for assigned departments, providing independent recommendations to senior leadership on budget, forecast, and long-range planning decisions.</li><li>
Research and resolve inquiries for assigned departments and/or functional areas.</li><li>
Lead personnel cost tracking and payroll variance analysis.</li><li>
Support the Director of FP&amp;A in the development and maintenance of long range financial plan.</li><li>
Convene and lead financial planning meetings with department leadership to align assumptions, timelines, and resource strategies.</li><li>
Serve as institutional administrator and functional owner of Workday Adaptive Planning, responsible for system governance, reporting architecture, access controls, and continuous improvement.</li><li>
Manage special projects and other duties as assigned.</li></ul> 
MINIMUM QUALIFICATIONS<ul><li>
BA/BS degree in finance, accounting, business or closely related field</li><li>
5 years of progressively responsible experience in financial planning and analysis, budgeting, forecasting, and institutional or departmental financial management; experience in a complex nonprofit, museum, higher education, or similarly matrixed organization preferred</li><li>
Demonstrated experience guiding annual budget development, regular forecasting, and long-range financial planning processes for multiple departments, programs, or business units</li><li>
Advanced Excel skills; strong working knowledge of Microsoft Office Suite and Google Workspace applications</li><li>
Advanced knowledge/ownership of software administration and experience in administration of enterprise financial planning systems</li><li>
Proven ability to develop, maintain, and interpret complex financial models, scenario analyses, and management reports to support strategic planning, resource allocation, and operational decision-making</li><li>
Strong attention to detail combined with sound judgment and the ability to maintain a broad institutional perspective</li><li>
Self-motivated with the ability to work effectively with minimal direction and manage multiple projects; adeptness at working on both solo projects and team projects</li><li>
Excellent verbal and written communication skills</li><li>
Demonstrated ability to build effective working relationships and influence decision-making across all levels of the organization, including guiding budget managers and departmental leaders through planning and forecasting processes</li><li>
Proven ability to interpret financial information for managers, directors, and non-finance stakeholders and work collaboratively all levels of the organization</li><li>
Demonstrated discretion, professionalism, and sound judgment in handling confidential and sensitive financial information</li></ul> 
PREFERRED QUALIFICATIONS<ul><li>
Experience working in a non-profit organization; understanding of non-profit financials and accounting practices</li><li>
Experience working in Workday Adaptive Planning, especially work experience as an Administrator</li><li>
Familiarity with business intelligence and data visualization tools (e.g. MS Power BI or Tableau)</li><li>
Experience with SQL/database report building, particularly in Salesforce</li></ul> 
PHYSICAL REQUIREMENT
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.<ul><li>
This position is based in San Francisco, California, with staff expected to work on site a designated number of days per week based on department requirements</li><li>
Ability to work at a computer and view a monitor for extended periods of time.</li><li>
Ability to use standard office equipment, including a computer, keyboard, telephone, printer and copier</li><li>
Ability to lift, carry, push or move materials up to 20 pounds</li><li>
Ability to occasionally bend, reach, stoop, and move throughout the workplace</li></ul> 
APPLICATION DEADLINE
This position is open until filled 
HOW TO APPLY
This is a regular, full-time (37.5 hours per week), exempt non-union position that includes benefits. The salary for this position is $90,000 to $95,000 DOE. Applicants must be authorized to work in the US. We are unable to sponsor or take over sponsorship of employment Visa at this time. Please, no phone calls in regards to this job. Please include a cover letter with your application. Applications submitted without a cover letter will not be considered for review. To apply, please visit the Exploratorium job page. 
The Exploratorium is proud to be an equal opportunity employer and values diversity, inclusion and respect. We welcome and strongly encourage applicants from all backgrounds. All qualified applicants will receive consideration for employment.</div>

Financial Analyst

Stitch Fix

<div><div><h3 class="jobSectionHeader">About Stitch Fix, Inc.
</h3>Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we're equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what's possible for our clients, while we help you reach your full potential.</div> 

<h1 class="jobSectionHeader">
About the Role</h1>

The Client Experience Product Algorithms team is responsible for the machine learning, AI, experimentation, and product analytics capabilities that power personalized experiences for Stitch Fix clients and stylists. Partnering across Product, Engineering, Design, Styling, Marketing, Merchandising, Finance, Enterprise Analytics, Data Platform, and DSN, the team translates data and algorithms into measurable business impact.

As Director, Product Algorithms, you will lead the strategy, execution, and people behind our Growth, Styling, and Fix &amp; Freestyle Algorithms portfolios. You'll define how AI, machine learning, experimentation, and analytics shape the future of personalized shopping while building the operating discipline, technical excellence, and cross-functional alignment needed to deliver scalable business results.
<h2 class="jobSectionHeader">
Responsibilities</h2>
<ul><li>Lead the Product Algorithms portfolio across Growth, Styling, and Fix &amp; Freestyle, setting strategy and driving measurable outcomes across acquisition, engagement, retention, styling quality, Fix, Freestyle, outfitting, and related commerce experiences.</li>
<li>Define the vision and roadmap for applying data science, machine learning, AI, experimentation, and product analytics to improve client experiences, stylist effectiveness, and business performance.</li>
<li>Drive innovation by identifying, evaluating, and scaling modern AI, machine learning, personalization, and experimentation techniques that create meaningful impact while balancing technical feasibility, execution capacity, and business priorities.</li>
<li>Strengthen organizational effectiveness by improving planning, prioritization, experimentation practices, product analytics capabilities, operational readiness, incident management, and cross-functional decision making across the portfolio.</li>
<li>Build and develop a high-performing organization of managers and senior individual contributors, fostering technical excellence, strong product leadership, accountability, and collaborative partnerships while representing Product Algorithms with executive stakeholders.</li>
</ul><h2 class="jobSectionHeader">How AI and Tools Show Up in Your Day-to-Day Work</h2>
<ul><li>Use AI-powered tools (such as ChatGPT, GitHub Copilot, and other emerging technologies) to improve decision making, productivity, communication, and operational efficiency.</li>
<li>Leverage experimentation platforms, analytics tools, machine learning infrastructure, and product development systems to guide roadmap decisions and measure business impact.</li>
<li>Continuously evaluate and adopt new AI capabilities, technologies, and ways of working that improve team effectiveness and accelerate innovation.</li>
</ul><h1 class="jobSectionHeader">About You</h1>

You are a strategic technical leader who combines deep expertise in machine learning and AI with exceptional product thinking, organizational leadership, and business judgment. You thrive in highly collaborative environments, enjoy solving ambiguous problems, and know how to translate emerging technologies into measurable customer and business outcomes.
<h2 class="jobSectionHeader">
Requirements</h2>
<ul><li>Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related quantitative field; advanced degree preferred.</li>
<li>10+ years of experience in data science, machine learning, experimentation, product analytics, AI, or algorithmic product development, including 5+ years leading teams and experience managing managers or senior technical leaders.</li>
<li>Demonstrated success defining strategy and delivering production machine learning, AI, personalization, or experimentation capabilities that drive measurable product and business outcomes.</li>
<li>Strong technical fluency across modern machine learning, generative AI/LLMs, experimentation methodologies, product analytics, and production algorithmic systems.</li>
<li>Experience building cross-functional partnerships with Product, Engineering, Design, Analytics, Data Platform, Marketing, Merchandising, Finance, and executive stakeholders.</li>
<li>Exceptional strategic thinking, communication, prioritization, problem-solving, and organizational leadership skills, with the ability to influence across technical and non-technical audiences.</li>
<li>Experience using AI tools (such as ChatGPT, GitHub Copilot, or similar technologies) to improve productivity, decision making, collaboration, and the quality of work.</li>
<li>This position requires the ability to sit for extended periods of time, use a computer and standard office equipment, and communicate effectively in both written and verbal formats.</li>
</ul><h2 class="jobSectionHeader">Nice to Have</h2>
<ul><li>Advanced degree (MS or PhD) in Computer Science, Machine Learning, Statistics, Operations Research, Engineering, or a related field.</li>
<li>Experience leading AI- or ML-driven consumer products within e-commerce, marketplaces, retail, recommendations, personalization, or digital consumer experiences.</li>
<li>Experience building or evolving experimentation platforms, product analytics capabilities, or AI governance and operational excellence practices.</li>
<li>Familiarity with large-scale recommendation systems, ranking models, generative AI applications, causal inference, optimization, or reinforcement learning.</li>
<li>Experience leading organizations through significant technical transformation, organizational scaling, or AI adoption initiatives.</li>
</ul><div>
This link leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data.

Please review Stitch Fix's US Applicant Privacy Policy and Notice at Collection here: https://stitchfix.com/careers/workforce-applicant-privacy-policy

Recruiting Fraud Alert:

To all candidates: your personal information and online safety are top of mind for us. At Stitch Fix, recruiters only direct candidates to apply through our official career pages at https://www.stitchfix.com/careers/jobs or https://web.fountain.com/c/stitch-fix.

Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers. If you are unsure if a message is from Stitch Fix, please email careers@stitchfix.com.</div></div>

Director, Data Science & Algorithms - CX Product Experiences

InfoTrack US

<div>About InfoTrack
InfoTrack is a platform that seamlessly connects law firms to the courts and to the services that they need to litigate successfully. We're global leaders in legal technology with unparalleled expertise in forging integrations that can drastically improve the efficiency of law firms and the legal system.
As a highly ambitious company, we know that our people are critical to our success. That's why we're passionate about fostering a high-performance culture built on professional development, open communication, and transparent leadership. If you're smart, dedicated, and eager to help build a market-leading solution that makes a difference in the lives of our clients, join us.
About the role
We are seeking a FP&amp;A Senior Analyst, Platform North America, to support financial planning and strategic analysis efforts. As FP&amp;A Senior Analyst, Platform North America, you will support in-country FP&amp;A initiatives. The ideal candidate will possess strong technical grasp of financial/accounting concepts, along with a strong understanding of financial modeling, forecasting, and business analytics. As a self-starter, you will be hands-on, capable of delivering within a high-performing, global team. In this hybrid role, you will report to the Head of FP&amp;A, ATI Global and have a dotted line to local Controllers in the United States and Canada.
This is a hybrid role based out of our office in San Francisco. 
Responsibilities<ul><li>
Reporting &amp; Planning</li><li><ul><li>
Execute budgeting and forecasting processes, including model updates, assumption validation, and consolidation across entities.</li><li>
Perform detailed variance analysis against budget, forecast, and prior periods, identifying key performance drivers and trends.</li><li>
Analyze key financial and operational KPIs, providing structured insights (MoM, YTD, trend analysis).</li><li>
Collaborate with cross-functional finance and non-finance stakeholders to build, validate, and maintain financial and operational data.</li><li>
Act as a finance contact for operational teams, bridging financial analysis and business performance.</li><li>
Partner with local Controllers and support Global Head of FP&amp;A with group-level planning, reporting, and performance review across business units.</li><li>
Develop and refine financial models to improve accuracy, transparency, and alignment with business drivers.</li><li>
Dive deeply into financial and non-financial data to become a subject matter expert and provide actionable insights.</li><li>
Support future initiatives such as new planning system implementation, ad-hoc projects including M&amp;A or IPO readiness.</li></ul></li><li>
General &amp; Business Partnering
</li><li><ul><li>Partner with cross-functional teams to ensure alignment of financial plans with strategic objectives.</li><li>
Support continuous improvement of FP&amp;A processes and tools to increase efficiency, accuracy, and timeliness of financial planning and reporting.</li><li>
Promote a teamwork mentality and proactive problem-solving across the finance function.</li></ul></li></ul> 
Requirements 
Education and Experience:<ul><li><ul><li>
Bachelor&rsquo;s degree in accounting, finance or related field</li><li>
CPA qualified</li><li>
3+ years&rsquo; post qualification experience in financial planning and analysis, corporate finance (inhouse or advisory) or similar fields</li><li>
Experience in Technology and/or legal services industry is preferred but not essential</li></ul></li></ul>
<ul><li>Knowledge and Skills</li><li><ul><li>
Strong financial modelling skills (budgeting, forecasting, scenario analysis)</li><li>
Combining superior attention to detail with ability to present financial information clearly and concisely to senior management and key stakeholders to support business decisions</li><li>
Solid understanding of financial reporting and its linkage to FP&amp;A</li><li>
Experience working in cross-functional and fast-paced environments</li><li>
Strong interpersonal skills for collaborating with different departments and levels within the global organization</li><li>
Experience with Workday Adaptive Planning/Reporting and NetSuite</li><li>
Advanced Excel skills with the ability to build financial models to support decision-making</li><li>
Excellent team player skills</li></ul></li></ul>
Compensation
The anticipated starting base pay range for this role is listed below. Base salary is not the only component of our competitive total rewards package - you may also be eligible for bonus, commissions, equity, and other benefits as described below. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications.
Base Pay
$86,200 to $145,395 USD 
 
 
Benefits 
What Sets InfoTrack apart
At InfoTrack, we&rsquo;re committed to a workplace where everyone feels comfortable doing their best work and having fun! We also believe in a work/life balance that fulfills you while you&rsquo;re here and supports you when you&rsquo;re not. We built our benefits package to prove that we&rsquo;re committed to you having everything you need.
Here is what we offer full-time employees:<ul><li>
401(k) Match
</li><li>Medical, Dental, &amp; Vision Insurance- 85% of employee premiums are covered by InfoTrack, and 70% for your family premiums</li><li>
Employer-funded Short/Long-Term Disability, Life, and Accidental Death &amp; Dismemberment (AD&amp;D) Insurance
</li><li>20 Days of Paid Time Off (PTO)
</li><li>11 Paid Holidays</li><li>
&ldquo;Be Me Time&rdquo; off for mental health, re-charging, volunteering</li><li>
Matching Gift Program</li><li>
Monthly Internet Stipend for Remote Employees
</li></ul>Our Commitment
We believe that the key to our success is you. Your unique background, life experience, knowledge, self-expression, and talent make you uniquely you. Who you are, what you have experienced, and how you think inspires us to be innovative and bold.
InfoTrack is an equal opportunity employer. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. We welcome the unique contributions that you can bring in terms of your education, opinions, culture, ethnicity, race, ancestry, sex, gender identity and expression, national origin, citizenship, marital status, age, languages spoken, veteran status, color, religion, disability, sexual orientation, and beliefs.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.</div>

FP&A Senior Analyst, Platform North America

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