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market research data analytics intern

Dolby

<div><div><div><div><div><div><div>Job description
 </div><div></div><p>Company and benefits</p> <p>Social Impact &amp; Sustainability</p>
</div></div></div><div><div><div><div><div>Job ID</div>
<div>41565</div>
</div></div><div><div><p>Join the leader in entertainment innovation and help us design the future. The Dolby U internship program offers impactful, project-based work experience in a collaborative, creative environment where you work side by side with industry leaders. Amplify your insatiable curiosity by implementing real-world solutions that revolutionize how people communicate and how entertainment is created, delivered, and enjoyed worldwide. We offer a collegial culture, challenging projects, and excellent compensation and benefits.</p>
<p>For this high functioning team, the nature of the work benefits from frequent in-office presence, and employees may be expected to work from a company office up to four days per week. While we remain committed to flexibility, this team&rsquo;s rhythm includes regular in-person connection to support collaboration, learning, and impact.</p>
<p>For any student seeking to gain invaluable expertise through meaningful, personal contributions, we invite you to join us in continuing to design a future where technology meets entertainment!</p>
<p>The <b>Legal </b>Department provides core legal support to all Dolby functions, runs several IP-centric businesses, and leads government relations.</p>
<div><div><p>We are looking for an intern to join our Business Planning &amp; Operations group within the Legal organization. In this role, you will support cross-functional teams including the Patent Licensing business, Global Dispute Resolution group, and IP Protection group. Working within the Business Operations group, you will contribute to process optimization and automation efforts while collecting, processing, and synthesizing large datasets into compelling market insights.
</p></div><div><p><b>Key Responsibilities</b></p>
</div><div><p><b>Data Analysis &amp; Insights</b></p>
</div><div><ul><li><p>Collect, clean, and analyze large datasets to identify patterns and trends in the consumer electronics market.</p>
</li></ul></div><div><ul><li><p>Consolidate data from multiple sources into clear, meaningful summaries that inform strategic business decisions.</p>
</li></ul></div><div><ul><li><p>Build and maintain dashboards and reports to track key performance indicators and market movements.</p>
</li></ul></div><div><ul><li><p>Present findings to stakeholders in a concise and actionable format.</p>
</li></ul></div><div><p><b>Market Research</b></p>
</div><div><ul><li><p>Conduct in-depth primary and secondary research on consumer electronics industry trends, competitor activity, and emerging technologies.</p>
</li></ul></div><div><ul><li><p>Monitor market developments and synthesize information into periodic research briefs and newsletters.</p>
</li></ul></div><div><ul><li><p>Evaluate competing products, tools, and technologies to support strategic planning and business development.</p>
</li></ul></div><div><p><b>Process Optimization &amp; Automation</b></p>
</div><div><ul><li><p>Support the identification and implementation of process improvements across Business Operations workflows.</p>
</li></ul></div><div><ul><li><p>Assist in designing and deploying automation solutions to streamline repetitive tasks and increase team efficiency.</p>
</li></ul></div><div><ul><li><p>Document existing processes and collaborate with stakeholders to develop optimized workflows and standard operating procedures.</p>
</li></ul></div><div><ul><li><p>Leverage AI tools and automation platforms to enhance productivity across the Global Dispute Resolution, IP Protection, and Patent Licensing teams.</p>
</li></ul></div></div><div><div><p><b>Data Management &amp; Systems Support</b></p>
</div><div><ul><li><p>Support the extraction, transformation, and loading (ETL) of data into visualization and reporting platforms.</p>
</li></ul></div><div><ul><li><p>Assist in maintaining and improving CRM data quality and workflows in Salesforce.</p>
</li></ul></div><div><ul><li><p>Collaborate with cross-functional teams to ensure data integrity and consistency across systems.</p>
</li></ul></div><div><p><b>Qualifications</b></p>
</div><div><p><b>Required</b></p>
</div><div><ul><li><p>Strong analytical mindset with attention to detail and a passion for turning raw data into actionable insights.</p>
</li></ul></div><div><ul><li><p>Excellent written and verbal communication skills.</p>
</li></ul></div><div><p><b>Preferred Experience &amp; Skills</b></p>
</div><div><ul><li><p>Proficiency in Microsoft Excel, including pivot tables, VLOOKUP/XLOOKUP, and data modeling.</p>
</li></ul></div><div><ul><li><p>Experience with data analysis tools or programming languages (e.g., Python, R, SQL).</p>
</li></ul></div><div><ul><li><p>Familiarity with AI agents, automation tools, or large language model (LLM) applications.</p>
</li></ul></div><div><ul><li><p>Exposure to CRM platforms, particularly Salesforce.</p>
</li></ul></div><div><ul><li><p>Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.</p>
</li></ul></div><div><ul><li><p>Prior coursework or project experience in market research, business analysis, or consumer behavior.</p>
</li></ul></div><div><p><b>Eligibility:</b></p>
</div><div><p>Working towards a Bachelor's degree or Master&rsquo;s degree in Business, Economics, Data Science, Statistics, Computer Science, or a related field; recent grads who are within 6 months of graduation are also eligible to apply. Must be available to work full-time Monday &ndash; Friday for 3 months between September 2026- December 2026.</p>
</div><div><p>Start dates for the internship are as follows: (*note* this date is not flexible)</p>
</div><div><ul><li><p>September 21, 2026</p>
</li></ul></div></div><p>The San Francisco/Bay Area base hourly range for this internship position is $33-38/hr and can vary if outside of this location. Our hourly ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific hourly range and perks and benefits for your location during the hiring process.</p></div></div></div></div></div></div></div>

Market Research & Data Analytics Intern

HARVEY

<div><div><h2 class="jobSectionHeader"><b>Location</b></h2>
<p>San Francisco</p>
</div><div><h2 class="jobSectionHeader"><b>Employment Type</b></h2>
<p>Full time</p>
</div><div><h2 class="jobSectionHeader"><b>Location Type</b></h2>
<p>Hybrid</p>
</div><div><h2 class="jobSectionHeader"><b>Department</b></h2>
<p>Product</p>
</div><div><h2 class="jobSectionHeader"><b>Compensation</b></h2>
<ul><li>$155K &ndash; $260K &bull; Offers Equity &bull; Offers Bonus</li>
</ul><div><p><i>Additionally, this role is eligible to participate in our equity plan and benefits program. Benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO.</i></p></div></div></div>
<br><div><h1 class="jobSectionHeader"><b>Why Harvey</b></h1>
<p>At Harvey, we&rsquo;re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we&rsquo;re reshaping how critical knowledge work gets done for decades to come.</p>
<p>This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we&rsquo;re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth &mdash; personal, professional, and financial &mdash; is unmatched.</p>
<p>Our team moves fast, takes ownership, and is deeply committed to the mission &mdash; operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.</p>
<p>At Harvey, the future of professional services is being written today &mdash; and we&rsquo;re just getting started.</p>
<p></p><h1 class="jobSectionHeader"><b>Role Overview</b></h1>
<p>As a Product Data Scientist, you will be a core member of Harvey's product development organization and one of the foundational members of the Data Science function. You will partner with Product, Engineering, Design, Go-to-Market, and company leadership to define how we measure product success, understand user behavior, and make high-quality decisions in a fast-moving environment.</p>
<p>This role is both strategic and hands-on. You will define north-star and product-level metrics, design experiments and causal analyses, build source-of-truth reporting, and turn ambiguous product questions into clear recommendations. You should be comfortable operating where the data is imperfect, the product is evolving quickly, and the right answer requires both analytical rigor and strong product judgment.</p>
<p></p><h1 class="jobSectionHeader"><b>What You'll Do</b></h1>
<ul><li><p>Embed with Product and Engineering teams as a trusted analytical partner, identifying opportunities to improve user experience, adoption, retention, and business impact.</p>
</li><li><p>Define and maintain core metrics that create a shared understanding of product performance and customer value.</p>
</li><li><p>Design and evaluate experiments, including A/B tests and causal inference methods, to measure the impact of product, model, and workflow changes.</p>
</li><li><p>Analyze product usage, customer segments, and go-to-market signals to surface insights, size opportunities, and inform roadmap decisions.</p>
</li><li><p>Build dashboards, reports, and self-serve tools that help teams answer product questions with confidence.</p>
</li><li><p>Develop models, forecasts, and analytical frameworks to explain user behavior, detect anomalies, and guide prioritization.</p>
</li><li><p>Translate complex analyses into clear recommendations for technical, business, and executive audiences.</p>
</li><li><p>Partner with Engineering and Data teams to improve the infrastructure that powers analytics, experimentation, and decision-making.</p>
</li><li><p>Establish the standards, practices, and culture for Product Data Science at Harvey.</p>
</li></ul><p></p><h1 class="jobSectionHeader"><b>What You Have</b></h1>
<ul><li><p>5+ years of experience in data science, product analytics, economics, statistics, or another quantitative field, ideally in a high-growth product company, AI company, research organization, or similarly ambiguous environment.</p>
</li><li><p>A strong track record of using SQL, Python, and statistical methods to answer product questions and turn analysis into product or business impact.</p>
</li><li><p>Experience defining new metrics and measurement frameworks from scratch, especially for products where usage patterns, customer value, or success criteria are still being discovered.</p>
</li><li><p>Deep fluency in experimentation, causal inference, A/B testing, and statistical modeling, with good judgment about when precision matters and when directional clarity is enough.</p>
</li><li><p>Strong product instincts and curiosity about how users adopt, evaluate, and expand their use of AI-enabled workflows.</p>
</li><li><p>Excellent written and verbal communication skills, including the ability to influence Product, Engineering, Go-to-Market, and executive stakeholders through clear reasoning and compelling data stories.</p>
</li><li><p>Comfort creating structure in fast-moving, ambiguous environments and raising the quality of decision-making for the teams.</p>
</li></ul><p><b>Bonus</b></p>
<ul><li><p>Experience with AI/ML products, large language models, developer tools, enterprise software, or products used in complex professional workflows.</p>
</li><li><p>Experience as an early data science or analytics hire at a hyper-growth startup, including helping define team norms, tooling, and best practices.</p>
</li><li><p>Experience supporting enterprise or B2B products, including analysis of adoption, engagement, retention, expansion, or go-to-market motion.</p>
</li><li><p>Familiarity with modern data infrastructure and the practical tradeoffs involved in building reliable analytics in a rapidly evolving product environment.</p>
</li></ul><p></p><h1 class="jobSectionHeader"><b>Compensation</b></h1>
<p>$155,000 - $260,000</p>
<p></p><h3 class="jobSectionHeader"><b>Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [</b><b>here</b><b>].</b></h3>
<p></p><p>#LI-SB1</p>
<p></p><p><i>Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.</i></p>
<p>We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai</p></div>

Data Scientist, Product

Data Scientist, Analytics (Technical Leadership)

Forge

<div>
 At Forge, we know our team is our greatest asset. As technology innovators in the private market, our vision is to deliver a richer future for everyone. We live that vision through our values of being bold, accountable, and humble. We experience the value that our vision brings to the world every day, helping the teams behind the greatest innovations of our generation, from space travel to artificial intelligence, and more.
 <br/>
 <br/>
 With liquidity solutions, exclusive data and insights, a custody offering, and a vibrant marketplace, Forge's goal is to build the best-in-class technology infrastructure to power a global private market that is transparent, accessible, and seamless for companies, their employees, and investors. Through Forge, employees can sell their private shares, employers can reward shareholders with pre-IPO liquidity and individual and institutional investors can participate in private unicorn growth.
 <br/>
 <br/>
 Forge's differentiated global marketplace addresses rising demand among individual and institutional investors for exposure to private company stocks and is building a growing network effect.
 <br/>
 <br/>
 Our ability to offer these powerful financial solutions has generated incredible interest from investors, demand from customers, and a need to grow our team to meet the needs of more companies, teams, and innovators in this way.
 <br/>
 <br/>
 <strong>
  The Role:
  <br/>
  <br/>
 </strong>
 We are looking to hire a
 <strong>
  Senior Data Analyst
 </strong>
 to join our Analytics team. In this role, you will partner with stakeholders across Product, Marketing, Finance, and Senior Leadership to deliver data-driven insights that influence strategy and decision-making across Forge. You will design and execute experiments, build new datasets, automate reporting, develop predictive analytics and attribution models &mdash; ultimately shaping how we measure, understand, and grow our marketplace. This is a high-impact individual contributor role, ideal for someone who thrives at the intersection of analytics, product strategy, and organizational impact.
 <br/>
 <br/>
 <strong>
  Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Shape business strategy by using SQL, Python, and other analytics tools to analyze data, highlight opportunities, and provide insights that directly inform product and company direction.
  </li>
  <li>
   Develop predictive models and forecasting tools using Python to support growth, product efficiency, and marketplace strategy leveraging internal user data and external GTM data sources.
  </li>
  <li>
   Build decision-making tools by designing, maintaining, and automating datasets, dashboards, and reporting infrastructure in Snowflake, Segment, Looker, and Heap to deliver clear insights that support long-term growth strategies.
  </li>
  <li>
   Automate recurring reporting and analytics processes using Python.
  </li>
  <li>
   Communicate findings through clear narratives, visualizations, and presentations to senior stakeholders.
  </li>
  <li>
   Improve our data infrastructure by identifying opportunities to enhance data quality, consistency, and documentation, enabling scalable, accurate, and reliable analytics across Forge.
  </li>
  <li>
   Design and analyze A/B tests and other experiments in Launch Darkly to guide product development and measure impact.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   4 years of experience in analytics, product analytics, data science or a related field.
  </li>
  <li>
   Expert-level SQL (advanced queries, optimization, and performance tuning).
  </li>
  <li>
   Proficient in Python (2+ years) for data analysis, automation, visualization, and forecasting/modeling.
  </li>
  <li>
   Hands-on experience with BI and data visualization tools, ideally Looker or Tableau, and data warehouses such as Snowflake.
  </li>
  <li>
   Strong foundation in experimental design and A/B testing methodology, preferably with experience in Launch Darkly and Heap.
  </li>
  <li>
   Demonstrated ability to develop predictive models and apply statistical analysis in a business context.
  </li>
  <li>
   Excellent analytical and problem-solving skills, with the ability to structure ambiguous problems and translate business questions into technical analyses.
  </li>
  <li>
   Strong communication and storytelling skills &mdash; able to present complex insights in a clear, actionable way to both technical and non-technical audiences.
  </li>
  <li>
   Track record of working cross-functionally and managing multiple stakeholders and priorities.
  </li>
  <li>
   Undergraduate degree in finance, economics, statistics, mathematics, engineering or related field.
  </li>
  <li>
   Physical requirements: operate a computer for 8 hours per day; give and receive detailed information through verbal and written communication
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <em>
   For residents of San Francisco, CA the annual salary range for this role is $98,000 - $100,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors
   <br/>
   <br/>
  </em>
 </strong>
 Upon offer, we conduct background checks that include employment and education verification, state, and county criminal history searches as well as fingerprint and drug test.
 <br/>
 <br/>
 Forge is proud to be an equal opportunity employer committed to supporting a diverse and inclusive workplace. Our employment decisions are made without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, veteran status, or any other characteristic protected by federal, state, or local laws.
</div>


Senior Data Analyst

City and County of San Francisco

<div><b>Company Description</b><br>
<ul><li><b>
Application Opening: 06/11/2026</b></li><li><b>
Application Filing Deadline:</b> <b>06/26/2026</b></li><li><b>
Annual Salary: </b><b>$137,098 - $166,530</b><b>
</b></li><li><b>Recruitment ID: TEX-1244-162120 / RTF0162119-01148212
</b></li></ul><p><b>APPOINTMENT TYPE:</b> Temporary Exempt: This position is excluded by the Charter from the competitive Civil Service examination process and shall serve at the discretion of the Appointing Officer.</p><p>
The duration of the appointment shall not exceed 36 months.</p><p><b>
WHO ARE WE?</b><br>
San Francisco Public Utilities Commission (SFPUC)<br>
Headquartered in San Francisco, we have 2,300 employees operating across eight counties serving more than 2.7 million customers in the San Francisco Bay Area &ndash; 24 hours per day, 365 days per year.</p><p><b>
Our Mission:</b> To provide our customers with high quality, efficient, and reliable water, power, and wastewater services in a manner that values environmental and community interests and sustains the resources entrusted to our care.</p><p><b>
Our Vision:</b> We are an innovative utility leader, recognized for excellent results in service, safety, stewardship, and inclusiveness.</p><p>
We are an award-winning and industry-leading utilities organization committed to our customers, community interests, and the environment. To learn more about our organization, please visit our website at https://www.sfpuc.org/.</p><p>
We are proud of our infrastructure and programs, but most importantly, we value our highly qualified and dedicated workforce which ensures that this vision becomes a reality.</p><p>
To learn more about working at the SFPUC, visit our career site at https://www.sfpuc.org/about-us/careers-sfpuc</p><p><b>
About the People Science Team</b></p><p>
People Science team within Human Resource Services at the SFPUC strives to create a workplace with thriving, diverse, and engaged employees using innovative, behavioral science-based research and consulting to the SFPUC.</p><b><br>
Job Description</b><p><br>
Under direction, the Senior People Science Analyst performs professional work in analyzing, researching, and consulting functions related to competency modeling, employee engagement, people analytics, talent management consulting, workforce planning, and racial equity.</p><p><b>
Essential Functions:</b></p><p>
The essential duties include, but are not limited to the following:</p><ul><li>
Provide strategic research and best practice-based consultation to business leaders related to talent management strategies, organizational effectiveness initiatives, and human resources policies and practices.</li><li>
Lead complex projects, including project scoping, developing project plans, and communication plans, and managing external partnerships.</li><li>
Independently compile and analyze data using standard software programs such as Excel; create compelling data visualizations and actionable insights to support workforce, talent and organizational decision-making.</li><li>
Manage a portfolio of internal clients and lead the development of competency models (i.e., critical technical, behavioral, and leadership competencies required for successful performance) serving as team lead for competency-based talent management projects and related processes.</li><li>
Develop and improve talent management processes (e.g., recruitment and selection, performance management, career pathing, leadership development) to align with our competency framework and workforce needs.</li><li>
Conduct research and advanced data analysis to identify strategic actions and recommendations to support SFPUC&rsquo;s Racial Equity Action Plan, and other organizational priorities.</li><li>
Facilitate workshops and strategic discussion with business leaders and employees to support workforce planning, leadership development, organizational development, and team effectiveness initiatives.</li><li>
Design and develop survey instruments and interview protocols, assessments, and other data collection tools to gather data and information.</li><li>
Plan and create strategic content, resources, and communications (e.g., site pages, training guides, presentations, newsletters) tailored to diverse groups.</li><li>
Prepare and deliver executive-level, visually appealing reports and engaging presentations to communicate findings and recommendations, policies, and strategic insights to diverse, non-technical audiences.</li><li>
Identify and implement opportunities to improve team processes, operational efficiency, and service delivery.</li><li>
Direct the work and assist in the professional development of interns, junior team members, and cross-functional project contributors; providing coaching, guidance, and training.</li><li>
Demonstrated advanced experience utilizing and administering technology platforms, software applications, and digital tools such as Visier (people analytics), Quantum Workplace (engagement suite), Microsoft Office Suite, SharePoint (including site development), Survey Monkey, Adobe Illustrator or similar tools or technologies.</li></ul><p>
The 1244 Senior People Science Analyst will perform other related duties as assigned.</p><b><br>
Qualifications</b><p><b><br>
Minimum Qualifications:</b></p><p>
Education:</p><p>
Possession of a baccalaureate degree from an accredited college or university.</p><p>
Experience:</p><p>
Three (3) years of verifiable professional human resources experience, similar to 1241 Human Resources Analyst, in one or more of the following areas of activity: recruitment and selection; classification and compensation; employee and/or labor relations; benefits administration; human resources operations; diversity, equity, and inclusion; and personnel training.</p><p>
Substitution:</p><p>
Education Substitution - Additional qualifying work experience as a professional human resources analyst may be substituted for up to two years of the required education on a year-for-year basis (30 semester/ 45 quarter units equals one year).</p><p>
Experience Substitution - Completion of a 12-month human resources trainee program equivalent to the City and County of San Francisco's 1249 Human Resources Training Program may substitute for one (1) year of required professional experience.</p><p>
Experience Substitution - Possession of a Juris Doctorate (J.D.) or Master's degree in Personnel Administration, Human Resources Management, Business Administration, Public Administration or Clinical/School/Industrial-Organizational Psychology may substitute for one (1) year of the required professional experience. MQs must reflect the class specification for those classes with set MQs.</p><p>
One year of full-time employment is equivalent to 2000 hours. (2000 hours of qualifying work experience is based on a 40-hour work week.) Any overtime hours that you work above forty (40) hours per week are not included in the calculation to determine full-time employment.</p><p><b><i>
Applicants must meet the minimum qualification requirement by the final filing date unless otherwise noted.</i></b></p><p><b>
Desirable Qualifications:</b> The stated desirable qualifications may be considered at the end of the selection process when candidates are referred for hiring.</p><ul><li>
Graduate degree in Industrial-Organizational Psychology, or other closely related field (e.g., Industrial Psychology, Organizational Behavior, Applied Social Psychology, Behavioral Psychology), Data Science, Data Analytics, Public Administration, or Business Administration.</li><li>
Experience and/or professional certifications in the areas of competency modeling, strategic workforce planning, employee experience/engagement, surveys and analytics, diversity, equity &amp; inclusion, and/or talent management consulting.</li><li>
Demonstrated experience in designing, evaluating, and improving human resources programs through the application of organizational research, employee and workforce data analysis, project management, and change management principles.</li><li>
Experience using technologies such as Visier, Quantum Workplace, SharePoint, Survey Monkey, and Adobe Illustrator or similar data visualization and survey platform tools.</li></ul><p><b>
Verification of Education and Experience:</b></p><p>
Applicants may be required to submit verification of qualifying education and experience at any point during the recruitment and selection process. Education verification information on verifying foreign education credits or degree equivalency, can be found at How to Verify Education Requirements | Department of Human Resources (sfdhr.org).</p><p><b>
Note: </b>Falsifying one&rsquo;s education, training, or work experience or attempted deception on the application may result in disqualification for this and future job opportunities with the City and County of San Francisco.</p><p>
All work experience, education, training, and other information substantiating how you meet the minimum qualifications must be included on your application by the filing deadline. Information submitted after the filing deadline will not be considered in determining whether you meet the minimum qualifications. Resumes will not be accepted in lieu of a completed City and County of San Francisco application. Applications completed improperly may be cause for ineligibility, disqualification or may lead to lower scores.</p><b><br>
Additional Information</b><p><b><br>
Additional Information Regarding Employment with the City and County of San Francisco:</b></p><ul><li>
Information About The Hiring Process</li><li>
Conviction History</li><li>
Employee Benefits Overview</li><li>
Equal Employment Opportunity</li><li>
Disaster Service Worker</li><li>
ADA Accommodation</li><li>
Veterans Preference</li><li>
Right to Work</li><li>
Copies of Application Documents</li><li>
Diversity Statement</li></ul><p><b>
HOW TO APPLY
</b></p><p>Applications for City and County of San Francisco jobs are <b>only </b>accepted through an online process. Visit https://careers.smartrecruiters.com/CityAndCountyOfSanFrancisco1/ and begin the application process.</p><ul><li>
Select the &ldquo;Apply Now&rdquo; button and follow instructions on the screen</li></ul><p>
Applicants may be contacted by email about this recruitment and, therefore, it is their responsibility to ensure that their registered email address is accurate and updated. Also, applicants must ensure that email from CCSF is not blocked on their computer by a spam filter. To prevent blocking, applicants should set up their email to accept CCSF mail from the following addresses (@sfgov.org, @sfdpw.org, @sfport.com, @flysfo.com, @sfwater.org, @sfdph.org, @asianart.org, @sfmta.com, @sfpl.org, @dcyf.org, @first5sf.org, @famsf.org, @ccsf.edu, @smartalerts.info, and @smartrecruiters.com).</p><p>
Applicants will receive a confirmation email from notification@smartrecruiters.com that their online application has been received in response to every announcement for which they file. Applicants should retain this confirmation email for their records. <b>Failure to receive this email means that the online application was not submitted or received.
</b></p><p><b>Job Analyst Information: </b>If you have any questions regarding this recruitment or application process, please contact the job analyst, <b>Sari Mix</b> at SMix@sfwater.org.</p><div></div><p>
The City and County of San Francisco encourages women, minorities and persons with disabilities to apply. Applicants will be considered regardless of their sex, race, age, religion, color, national origin, ancestry, physical disability, mental disability, medical condition (associated with cancer, a history of cancer, or genetic characteristics), HIV/AIDS status, genetic information, marital status, sexual orientation, gender, gender identity, gender expression, military and veteran status, or other protected category under the law.</p></div>

Senior People Science Analyst – Human Resource Services – San Francisco Public Utilities Commission (1244)

<div>
 As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
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 Data Scientist, Product Analytics Responsibilities:
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   Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
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   Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
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   Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
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   Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
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   Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
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 Minimum Qualifications:
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   A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)
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   Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
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 Preferred Qualifications:
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   Master's or Ph.D. Degree in a quantitative field
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   Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
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   Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
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   Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
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 About Meta:
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 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
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 Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
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 Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
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 $177,000/year to $247,000/year + bonus + equity + benefits
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 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.
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Data Scientist, Product Analytics

Windfall

<div><p>As a Product Marketing Manager at Windfall, you&rsquo;ll help define how we position our people intelligence and AI capabilities in the market and how our revenue teams tell the Windfall story. You will report to the VP of Marketing and collaborate closely with Sales, CS, and Product to translate product capabilities into compelling narratives and practical go‑to‑market assets.</p>
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This role is ideal for a PMM who has already owned launches, messaging, and enablement for a product or segment and wants to extend that scope across multiple verticals and use cases.</p>
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We hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Win When Our Customers Win; (5) Act with integrity and trust.</p>
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Responsibilities:</b></h3><ul>
<li>Contribute to and maintain core messaging and positioning, ensuring it stays aligned with customer needs and the competitive landscape</li>
<li>Build and update sales collateral: pitch decks, one‑pagers, battlecards, vertical sheets, and objection‑handling guides</li>
<li>Partner with Sales and CS to understand where deals stall and create assets/messaging to unblock them</li>
<li>Support product and feature launches with messaging development, launch briefs, internal comms, and basic measurement</li>
<li>Collaborate on content and campaigns (e.g., webinars, whitepapers, event narratives) by providing POV, messaging, and story arcs</li>
<li>Conduct light competitive research and market scanning, turning insights into actionable guidance for revenue teams</li>
<li>Use AI tools to accelerate drafting, research, and asset iteration while maintaining quality and narrative control</li>
</ul><h3 class="jobSectionHeader"><b>Requirements:</b></h3><ul>
<li>3+ years minimum of Product Marketing experience at a B2B SaaS company</li>
<li>Demonstrated ability to write clear positioning, value propositions, and sales narratives</li>
<li>Experience creating and iterating on sales collateral with direct feedback from Sales and customers</li>
<li>Comfort working cross‑functionally with Product, Sales, and CS</li>
<li>Strong written and verbal communication skills; confident presenting to internal teams</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Qualifications:</b></h3><ul>
<li>Experience in GTM data, sales intelligence, or BI tools</li>
<li>Exposure to one or more of Windfall&rsquo;s key verticals: nonprofit, financial services, retail, travel &amp; hospitality</li>
<li>Experience with AI tools in your workflow</li>
</ul><div><b>About Windfall</b></div>
<div>Windfall is a people intelligence and AI company that gives go-to-market teams actionable insights. By democratizing access to people data, organizations can intelligently prioritize go-to-market resources to drive greater business outcomes. Powered by best-in-class machine learning and artificial intelligence, Windfall activates insights into workflows that engage the right people for each respective organization. More than 1,500 data-driven organizations use Windfall to power their business. For more information, please visit www.windfall.com.</div>
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<div><b>We comply with CCPA. </b>For more information on how we comply, review our privacy notice.</div>
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<div>Windfall is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</div>
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<div>We may use AI tools to assist parts of the hiring process, such as reviewing applications or analyzing resumes. These tools assist our team and do not replace human judgment. Final hiring decisions are made by people.</div></div>

Product Marketing Manager

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