analyst, people analytics Jobs in San Francisco

analyst, people analytics

data engineer, go-to-market Jobs in San Francisco

data engineer, go-to-market

data engineer, security products Jobs in San Francisco

data engineer, security products

senior data scientist Jobs in San Francisco

senior data scientist

senior data scientist, analytics - growth/seo Jobs in San Francisco

senior data scientist, analytics - growth/seo

data scientist

Integral Ad Science

<div>Job Description:
As a Senior Data Scientist at IAS, you will be part of a team that is at the center of innovation for the company and a major contributor to our core products. As part of the data science group at IAS, you will push the boundaries of applications of machine learning (ML) and deliver best-in-class solutions to serve our clients. Innovation is at the heart of our competitive advantage, and innovation starts with people and culture. You will join a group of data scientists committed to deep collaboration and high quality scientific research, ultimately producing a lasting impact on the IAS business. 
 
The types of challenges we solve have attracted people from industry and academia with diverse backgrounds, ranging from ML, mathematics, physics, biology, neuroscience, and computer science to finance and economics. We&rsquo;re passionate about maintaining an open and collaborative environment, where team members bring their own unique style of thinking and tools to the table. 
 
What you&rsquo;ll get to do:<ul><li>
Drive innovative research within the data science team, improve the accuracy and increase the scope of our multimedia content classification for targeting &amp; avoidance in web, mobile, CTV, gaming, social media etc.</li><li>
Collaborate with the Core Research and Innovation Teams, understand the nature of evolving trends and invent creative, quantitative solutions to address contextual targeting and avoidance needs</li><li>
Develop automated ML systems based on science, data, and ML applications. Communicate the value they add to multiple stakeholders across the organization, socialize the predictive power and business value of data-driven ML</li><li>
Join a team of highly motivated ML researchers and developers, own projects from end-to-end, while collaborating with team members, learning, mentoring, contributing to the collective impact data science has on the IAS business</li><li>
Collaborate with engineers to integrate fraud solutions within larger engineering workflows</li><li>
Respond to internal and client-facing incidents as they arise</li></ul> 
You should apply if you have most of this experience:<ul><li>
PhD or masters in a quantitative discipline (e.g., mathematics, statistics, computer science, physics, economics, computational neuroscience)</li><li>
3-5 years experience solving analytical problems using quantitative approaches and ML methods in a business environment</li><li>
Practical experience building ML systems, ideally using weak supervision and automated data labeling. End-to-end ownership of your work: from prototyping, debugging, evaluation, optimization, production deployment, to live monitoring</li><li>
Knowledge of cutting edge research in ML applications and deep learning</li><li>
Capable of using SQL to answer key data questions at the drop of a hat</li><li>
Expertise in standard scripting languages used in data science for statistical computation: Python, R</li><li>
Enthusiasm for telling stories with data, deep understanding of how data works and flows through systems to produce business outcomes</li><li>
An innate curiosity about data problems, strongly held commitment to getting to the bottom of things</li><li>
A love of science, the scientific method, and faith in your fellow practitioners in the scientific trade</li></ul>
IAS Pay Transparency:
The annualized base salary ranges for the primary location, and any additional locations are listed below. Our pay ranges are based on the work location. As part of IAS compensation package, we offer a comprehensive benefits package that includes paid time off, health insurance (medical, dental, vision) as well as PPO, HSA and FSA options and 401k with employer matching contributions. All full-time employee roles include competitive compensation and are eligible for an annual bonus and/or other incentive plans. Each candidate&rsquo;s compensation package is based on multiple factors, but not limited to, geography, experience, skills, job duties, and business need.
Primary Location:
US - New York, NY
Primary Location Base Pay Range:
$100,800.00 - $172,800.00 Annual
Additional Locations:
US - San Francisco, CA
Additional Locations Pay Range:
100,800.00 - 172,800.00 USD Annual
About Integral Ad Science:
Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry&rsquo;s most actionable data to drive superior results for the world&rsquo;s largest advertisers, publishers, and media platforms. IAS&rsquo;s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.
Equal Opportunity Employer:
IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply.
California Applicant Pre-Collection Notice:
We collect personal information (PI) from you in connection with your application for employment or engagement with IAS, including the following categories of PI: identifiers, personal records, commercial information, professional or employment or engagement information, non-public education records, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment or engagement. For additional details or if you have questions, contact us at compliance@integralads.com.
Attention agency/3rd party recruiters: IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to recruitingagencies@integralads.com. We will get back to you if there's interest in a partnership.
#LI-Hybrid</div>

Senior Data Scientist

Gusto

<div><div>About Gusto

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff&mdash;like payroll, health insurance, 401(k)s, and HR&mdash;so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy.</div>
About the Role:

Gusto is looking for highly skilled and motivated Data Scientists with extensive experience (7+ years) applying their expertise in a business environment. As a Staff Data Scientist, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes to the overall success of our organization. The ideal candidate is a trusted data storyteller with strong statistical and coding skills, and a passion for applying these skills to help small businesses thrive.

About the Team:

In this role you will work closely with our Product, Engineering, Design, Finance, and other Data teams to become an expert in the data for your domain, define and track metrics that help us understand our business performance, and dive deep into our Payroll, Benefits, and HR data to deliver insights and answer questions. You'll also integrate AI-assisted practices to accelerate analysis, enhance rigor, and expand the reach of insights across Gusto. We have multiple senior roles open, each focused on a different area of our business.

Here's what you'll do day-to-day:
<ul>
<li>Lead: Own ambiguous problems, design analysis frameworks, and introduce structure that scales across multiple product domains.</li>
<li>Strategic Partnership: Collaborate with product managers, engineering leads, designers, and operations teams to proactively identify opportunities, align on strategy, and guide data-informed decision-making.</li>
<li>Analytical Rigor: Apply advanced statistical methods, causal inference, experimentation, and AI-assisted analytics to surface drivers of product performance, separating signal from noise.</li>
<li>Experimentation &amp; Measurement: Design, analyze, and interpret experiments; ensure insights highlight trade-offs and limitations based on sample size and data quality.</li>
<li>Execution: Deliver multiple high-impact projects, balancing trade-offs to maximize business value, and maintain clear expectations of deliverables and timelines.</li>
<li>Communication: Present complex findings in a structured, compelling way to technical and non-technical stakeholders, fostering a data-informed mindset across the company.</li>
<li>Independence: Work with minimal guidance to prioritize, create, and deliver data science roadmaps, proactively resolving conflicts or misalignment across stakeholders.</li>
<li>Scaling the Craft: Mentor other data practitioners, up-level team best practices in experimentation, statistical modeling, and metric interpretation. Drive improvements in data quality, rigor, and adoption of better data capabilities leveraging AI-native tools and workflows across the org.</li>
</ul>
Here's what we're looking for:
<ul>
<li>7&ndash;10 years of experience in Data Science at a product-focused software company.</li>
<li>Strong SQL skills and comfort with Python</li>
<li>Proven ability to apply statistical methods, causal inference, AI tools, and experimental design to real business problems.</li>
<li>Excellent communication skills, with a track record of influencing cross-functional stakeholders and leadership.</li>
<li>Demonstrated experience leading large, technically complex projects with clear business impact.</li>
<li>A proactive, resilient problem-solver who independently structures ambiguous problems into actionable insights.</li>
<li>Passion for mentoring others and raising the bar for data science craft across the team.</li>
<li>BS/MS/PhD in a quantitative field (Statistics, Economics, Computer Science, Applied Math, etc.) or equivalent industry experience.</li>
</ul>
Our cash compensation amount for this role is targeted at $154,000/yr - $181,000/yr in Denver, $168,000/yr - $198,000/yr in Los Angeles, $186,000/yr - $225,000 for San Francisco, Seattle and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.<div>

Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.

Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.

When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.

Our customers come from all walks of life and so do we. 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. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.

Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.

Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.

Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.</div></div>

Staff Data Scientist - Product

Discord

Discord is used by over 200 million people every month for many different reasons, but there&rsquo;s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games.As a member of the Data Science &amp;amp; Analytics team, you will help Discord achieve its mission of making it easier and more fun for people to talk and hang out before, during, and after playing games. Data Scientists leverage their deep analytical skills and product intuition to solve a wide array of complex problems - from strategic analysis to dashboard creation and experimentation design and analysis. Our Growth team is focused on helping more people discover Discord through organic channels, and we need a Senior Data Scientist who's passionate about turning data into strategies that drive sustainable user acquisition. You'll be the analytics partner shaping our SEO roadmap, using data to unlock growth opportunities that bring new communities to Discord. This role reports to the Senior Manager of Data Science, Analytics for Growth. If using data to optimize how millions discover and fall in love with Discord sounds exciting, we'd love to hear from you! What you'll be doing Lead data science strategy for Discord's SEO and GEO initiatives, partnering with Product and Engineering to design experiments that optimize search visibility, landing page experiences, and organic conversion rates Define the KPIs and metrics that drive growth strategy, building executive-level dashboards that provide clear, actionable insights into acquisition performance and funnel health Design and analyze A/B tests that improve organic user acquisition, from search ranking experiments to landing page optimization and conversion rate improvements Build comprehensive analyses of web traffic patterns, search-driven behavior, and organic acquisition funnels that directly inform product development and growth strategy Champion experimentation best practices across Growth teams, ensuring rigorous test design, analysis, and interpretation for high-impact decision-making Collaborate with Data Engineering to design scalable instrumentation that captures the right signals for measuring SEO/GEO performance and user journey quality Proactively surface insights and recommendations to technical and non-technical stakeholders, translating complex findings into clear narratives that drive action What you should have 4+ years of experience autonomously translating ambiguous business problems into deep informative insights through hands-on analytics 4+ years of experience building performant dashboards using Tableau, Looker, or similar software - with proficiency in designing clean crisp visualizations 4+ years experience writing excellent SQL Excellent communication skills, with the ability to translate complicated findings or technical approaches in easy-to-understand ways 4+ years of experience in the design, analysis, and interpretation of A/B tests in a large data environment Experience analyzing web traffic patterns, organic acquisition funnels, and search-driven user behavior Strong communication skills with ability to translate technical approaches and complex findings for diverse audiences Collaborative mindset and natural curiosity with passion for solving challenging problems alongside amazing teammates Track record of working effectively in ambiguous environments and driving clarity through data Bonus Points Discord passion: You're an active Discord user or have deep knowledge of gaming and creator communities SEO analytics expertise: Deep understanding of search engine behavior, organic traffic attribution, and measuring impact of technical/content SEO initiatives Growth experience: Background in user acquisition, engagement, or retention analytics with familiarity in LTV analysis, funnel optimization, and cohort analysis Technical leadership: Experience being the analytics point person for stakeholder groups and mentoring other data scientists Web analytics platforms: Proficiency with Google Analytics, Search Console, and integrating external tools with internal data systems Landing page optimization: Experience analyzing and improving conversion rates for organic traffic Social/community analytics: Understanding of social graphs, viral mechanics, and community-driven growth BigQuery expertise: Experience writing performant production SQL and building scalable ETL pipelines The US base salary range for this full-time position is $196,000 to $220,500 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.Why Discord?Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away! Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord&rsquo;s collection and usage of personal information relating to the application and recruitment process by clickingHERE.

Senior Data Scientist, Analytics - Growth/SEO

Notion

<div>
 
 About Us
 
 
 
 Notion helps you build beautiful tools for your life&rsquo;s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email&mdash;with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
 
 
 In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
 
 
 
 About The Role
 
 
 
 As Notion continues to grow rapidly, we're seeking talented data engineers to join our team and help us build the foundational datasets and pipelines to support our go-to-market strategies. You'll be at the forefront of integrating our product and business systems to create rock solid processes that will propel us forward. If you're passionate about analytics use cases, data models, and solving complex data problems, then we want you on our team.
 
 
 
 What You'll Achieve
 
 
 
 <ul>
 <li>
 You'll build core datasets to serve as the sources of truth for Notion&rsquo;s marketing and sales reporting, integrating data to and from business systems data and Notion&rsquo;s product.
 </li>
 <li>
 You&rsquo;ll partner closely with our Marketing, Sales, Revenue Operations, Business Technology, Business Intelligence and Data Science teams to support critical reporting and analysis needs.
 </li>
 <li>
 You'll design, build and monitor pipelines that meet today's requirements but can gracefully scale with our growing data size.
 </li>
 <li>
 You&rsquo;ll help democratize access to high quality data across go-to-market teams, Staff, and the entire company.
 
 
 </li>
 </ul>
 
 Skills You'll Need To Bring
 
 
 
 <ul>
 <li>
 You've spent 3+ years as a data engineer building core datasets and supporting business verticals as needed, ideally in product and business areas with high data volumes. You are passionate about analytics use cases, data models and solving complex data problems.
 </li>
 <li>
 You have experience working with both Marketing and Sales datasets at a SaaS company, and have built integrations with business systems like Salesforce, Netsuite, Marketo, Zendesk, etc.
 </li>
 <li>
 You are a self-starter and continuously gather and synthesize high-impact needs from business partners, design and implementing the appropriate technical solutions, and effectively communicating about deliverables, timelines and tradeoffs
 </li>
 <li>
 You have hands-on experience shipping scalable data solutions in the cloud (e.g AWS, GCP, Azure), across multiple data stores (e.g Snowflake, Redshift, Hive, SQL/NoSQL, columnar storage formats) and methodologies (e.g dimensional modeling, data marts, star/snowflake schemas)
 </li>
 <li>
 You are a SQL expert. You intimately understand aggregation functions, window functions, UDFs, self-joins, partitioning and clustering approaches to run correct and highly-performant queries
 </li>
 <li>
 You are comfortable with object-oriented programming paradigms (e.g Python, Java, Scala)
 
 
 </li>
 </ul>
 
 Nice To Haves
 
 
 
 <ul>
 <li>
 You have hands-on experience in designing and building highly scalable and reliable data pipelines using BigData stack (e.g Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift, etc)
 </li>
 <li>
 You have worked with Go-To-Market stakeholders in the past.
 </li>
 <li>
 You&rsquo;ve worked at a fast-growing company or are eager to contribute in such an environment (being a current Notion user would also be great!)
 
 
 </li>
 </ul>
 We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you&rsquo;re excited about a role but your past experience doesn&rsquo;t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you&rsquo;re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
 
 
 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
 
 
 Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $150,000 - $177,000 per year.
 
 
 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy.
 
 
</div>

Data Engineer, Go-To-Market

HealthRIGHT 360

HealthRIGHT 360 gives hope, builds health, and changes lives for people in need by providing comprehensive, integrated, compassionate care that includes primary medical care, mental health services, and substance use disorder treatment.
 
Benefits and perks: 
<ul>
<li>HR360 offers a robust benefits package, including PTO, 15 paid holidays, commuter benefits, retirement plans, and more!</li>
<li>Employees qualify for public loan forgiveness programs</li>
<li>Training and professional development opportunities</li>
<li>Work with mission driven, compassionate colleagues and make a difference every day in the work that you do.</li>
</ul>
JOB SUMMARY
 HealthRIGHT 360, a nonprofit organization and a family of programs, is committed to providing accessible and comprehensive healthcare services to vulnerable populations. Our mission is to tackle systemic barriers to healthcare and promote health equity for all. We offer a wide range of services, including mental health care, residential and outpatient substance use treatment, and primary health services. Additionally, we provide transitional support for individuals re-entering the community after involvement in the criminal justice system. By integrating physical and behavioral health, we empower individuals to overcome challenges by addressing social determinants of health, fostering resilience, and facilitating recovery.
 
The Product Owner is a pivotal role that serves as the bridge between business stakeholders and technical teams. This role owns the Agile delivery process and product backlog while driving the successful delivery of high-impact data and technology initiatives. The Product Owner brings deep expertise in Agile methodologies, a strong technical foundation, and exceptional stakeholder communication skills to ensure alignment, value, and timely delivery.
 
KEY RESPONSIBILITIES
 Agile Project Management
 <ul>
<li>Serve as Scrum Master for our teams, leading stand-ups, sprint planning, reviews, and retrospectives.</li>
<li>Establish and manage agile processes using tools such as Jira, Azure DevOps, or equivalent.</li>
<li>Ensure team adherence to agile best practices and continuously drive process improvement.</li>
<li>Track key performance metrics (velocity, burndown, throughput) and report progress to leadership.</li>
</ul>
Product Ownership
 <ul>
<li>Own and maintain the product backlog, prioritize features and user stories based on business value.</li>
<li>Collaborate with stakeholders to gather, refine, and document requirements and translate them into technical specifications.</li>
<li>Define and manage sprint goals, product roadmap, and release plans.</li>
<li>Drive user acceptance testing and ensure alignment between delivered features and business expectations.</li>
</ul>
Stakeholder Management
 <ul>
<li>Act as the primary point of contact between business units and technical delivery teams.</li>
<li>Facilitate regular stakeholder check-ins, status updates, and demo sessions.</li>
<li>Guide the team in identifying risks, dependencies, and roadblocks early, and assist in mitigation planning.</li>
</ul>
Technical & Strategic Contribution
 <ul>
<li>Collaborate with data engineers, BI developers, and data scientists on solution design and technical feasibility.</li>
<li>Contribute to roadmap planning aligned with business priorities and technology capabilities.</li>
<li>Drive usage and adoption of data products across business units.</li>
</ul>
And, other duties as assigned.
 
QUALIFICATIONS
 Education, Experience and Certifications
 <ul>
<li>Bachelor’s degree in Business, Information Systems, Computer Science, Data Analytics, or a related field or equivalent relevant work experience.</li>
<li>Certified Scrum Master (CSM) or equivalent is required</li>
<li>Agile Certified Practitioner (PMI-ACP) or SAFe Agilist is preferred</li>
<li>3+ years of experience in a Scrum Master, Agile Project Manager, or Product Owner role.</li>
<li>Proven experience managing Agile teams and tools (e.g., Jira, Confluence, Azure DevOps).</li>
<li>Solid understanding of SDLC, Agile, Scrum, and Kanban frameworks.</li>
<li>Strong technical background: familiarity with data platforms, reporting tools (e.g., Power BI), cloud (Azure/AWS), or ERP/CRM systems.</li>
<li>Experience working cross-functionally across business and technical teams.</li>
</ul>
Desired: 
<ul>
<li>PMP Certification – preferred but not required</li>
<li>Experience in data analytics, healthcare, or enterprise systems integration.</li>
<li>Hands-on experience managing backlog for technical or data teams.</li>
<li>Familiarity with Microsoft Dynamics, Oracle, or SAP is a plus.</li>
<li>We will consider for employment qualified applicants with arrest and conviction records.</li>
<li>Must complete a background check and livescan.</li>
</ul>

Product Owner - Data Infrastructure and Analytics

Deloitte

<div>
 Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.
 
 
 Recruiting for this role ends on February 27, 2026
 
 
 
 Work you'll do
 
 
 
 Deloitte Digital's Data Science and Analytics practice is seeking creative minds and persistent problem solvers to build and support cutting-edge marketing analytics solutions that help our clients deliver customer value at every touchpoint. Marketing and advertising analytics are at the forefront of guiding data-driven strategies by leveraging emerging technologies, keen analytical abilities and a laser focus on addressing the client's business initiatives, rooted in data. Marketing and advertising analytics are a critical influencer in what drives marketing success and is in constant exploration for clients as the discipline of a data-first mentality evolves marketing.
 
 
 This person will work across our Marketing, Advertising, Commerce and Product Innovation functions within Deloitte Digital, to support data-driven, analytical decisioning for our clients. This person will work cross-functionally between teams to guide measurement frameworks, learning agendas, data strategy, and performance analytics. Key responsibilities include:
 
 
 <ul>
 <li>
 Uncover client's key business questions, design and execute analysis to address those questions, and be able to demonstrate the impact of recommendations across paid, owned, and earned channels
 </li>
 <li>
 Bring a strong background with proven experience in marketing, advertising and commerce analytics, audience discovery and segmentation, measurement, modeling strategy, and data quality
 </li>
 <li>
 Bring extensive knowledge across paid, owned, and earned, with a focus of analytical expertise in one or more of the following: omnichannel, media (display, paid search, programmatic, paid social), organic social, social listening/trend identification, site, app, email/Push/SMS - CRM, or voice of the customer/brand studies
 </li>
 <li>
 Dive into large datasets, uncovering insights, and providing impactful recommendations to clients leveraging tools like Google Analytics, DV360, Ads Data Hub, Adobe Analytics, Salesforce/SFMC and more
 </li>
 <li>
 Transform data into actionable insights through strong storytelling with data designed for executive-level audiences by connecting the dots across channels through data to provide a holistic view of marketing/advertising/commerce efforts
 </li>
 <li>
 Create dashboards via Tableau, Datorama, Data Studio, Looker, or other similar data visualization tools
 </li>
 <li>
 Support the vision and creation of measurement plans, testing plans, tagging strategies, modeling strategy, and experimentation/A/B testing deployment
 
 
 </li>
 </ul>
 
 The team
 
 
 
 Deloitte's Advertising, Marketing &amp; Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth.
 
 
 
 Qualifications
 
 
 
 Required:
 
 
 <ul>
 <li>
 2+ years of experience in managing digital marketing/advertising analytics, including marketing mix model and/or attribution solutions for complex, large-scale clients.
 </li>
 <li>
 Bachelor's degree or equivalent professional experience.
 </li>
 <li>
 Ability to travel 30%, on average, based on the work you do and the client and industries/sectors you serve.
 </li>
 <li>
 Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
 
 
 </li>
 </ul>
 Preferred:
 
 
 <ul>
 <li>
 Proficient in defining analytics, modeling, tagging strategies, and developing comprehensive measurement and testing plans.
 </li>
 <li>
 Strong command over analytical methodologies for optimizing customer datasets and digital campaigns.
 </li>
 <li>
 Advanced skills in Excel, SQL, Tableau, or other data analysis tools, with a high level of competence in digital analytics and tag management solutions.
 </li>
 <li>
 Exceptional project management skills, with a proven track record of managing work and meeting deadlines in a highly organized and autonomous manner.
 </li>
 <li>
 Excellent communication, leadership, and team collaboration skills, coupled with a strong executive presence for client-facing interactions.
 
 
 </li>
 </ul>
 nformation for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
 
 
 The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $80,400 to $148,000.
 
 
 You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
 
 
 #Customer_US
 
 
 #AMC_US
</div>

Insights and Analytics Consultant

Genentech

<div><div><div>THE POSITION</div>
2026 Summer Intern - Computational Biology and Medicine - Perturbation
Department Summary
The Computational Biology and Medicine (CBM) department is a key pillar of the Computational Sciences Center of Excellence (CS-CoE) within Genentech&rsquo;s Research and Early Development (gRED) organization. We are a diverse team of computational biologists and data scientists with deep expertise spanning genomic methodologies, multi-modal data analysis, and therapeutic areas.
In CBM, we bridge the gap between dry-lab and wet-lab. We collaborate closely with disease biologists, experimentalists, and AI/ML researchers to deploy rigorous analytical frameworks that drive decision-making. Our mission is to transform complex biological data into actionable insights that accelerate target discovery and biomarker development.
This internship position is located in South San Francisco, on-site.
The Opportunity
As a computational biology intern, you will join a vibrant, rigorous, and industry-leading research community. You will have the chance to contribute directly to our early discovery pipeline by developing tools to interpret large-scale genetic screening data. You will:<ul><li>
Explore and Analyze Perturbation Data: Dive into large-scale genetic perturbation datasets (e.g., Perturb-seq) to understand the landscape of gene function and regulation.</li><li>
Benchmark Machine Learning Methods: Rigorously test and evaluate statistical and machine learning approaches, such as matrix factorization and other dimensionality reduction techniques, to identify robust gene expression programs and perturbation modules.</li><li>
Innovate Annotation Strategies: Develop and apply computational methods to biologically annotate identified modules, connecting statistical signals to meaningful biological mechanisms.</li><li>
Build Scientific Software: Design and implement software tools to database, query, and visualize results, enabling wider access to these insights for the broader research team.</li><li>
Collaborate and Present: Engage with cross-functional teams and present your research at internal seminars.</li></ul>
Program Highlights<ul><li>
Intensive 12-weeks, full-time (40 hours per week) paid internship.</li><li>
Program start dates are in May/June (Summer).</li><li>
A stipend, based on location, will be provided to help alleviate costs associated with the internship.</li><li>
Ownership of challenging and impactful business-critical projects.</li><li>
Work with some of the most talented people in the biotechnology industry.</li></ul>
Who You Are
Required Education
<ul><li>Must be pursuing a PhD (enrolled student).</li></ul>
Required Majors:
<ul><li>Computer Science, Statistics, Mathematics, Computational Biology, Biostatistics, or a related field.</li></ul>
Required Skills:<ul><li>
Proficiency in bioinformatics (programming in R or Python, and HPC).</li><li>
Experience developing/applying statistical or computational methods to analyze omics data.</li><li>
Experience with scRNA-seq data</li></ul>
Preferred Knowledge, Skills, and Qualifications<ul><li>
Excellent communication, collaboration, and interpersonal skills.</li><li>
Complements our culture and the standards that guide our daily behavior &amp; decisions: Integrity, Courage, and Passion.</li><li>
Experience with dimensionality reduction techniques and/or perturbation data.</li></ul>
Relocation benefits are not available for this job posting.
The expected salary range for this position based on the primary location of the state of California is $50.00 hour. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits.
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</div>
<div><div>JOB FACTS
</div><div><div><ul><div>Job Sub Category
Internships &amp; Co-ops
</div><div>Schedule
Full time
</div><div>Job Type
Temporary (Fixed Term)
</div><div>Posted Date
Jan 9th 2026
</div><div>Job ID
202601-100133</div></ul></div></div></div></div>

2026 Summer Intern - Computational Biology and Medicine - Perturbation

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