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

staff data scientist product

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

Resolve ai

<div><h2 class="jobSectionHeader">About Resolve AI</h2><ul><li>
At Resolve, we&rsquo;re building Agentic AI that empowers software engineers by automating production engineering and SRE workflows. Our models deeply understand production systems &mdash; from code to databases &mdash; taking on repetitive, high-pressure tasks and handling critical incidents autonomously, so engineers can focus on building.</li><li>
Our founders (Spiros Xanthos and Mayank Agarwal) are the core creators of OpenTelemetry and led Splunk Observability. They have had 2 successful exits to Splunk and VMware.</li><li>
We raised a $35M Seed round from top-tier investors like Greylock, Unusual Ventures, Jeff Dean (Chief Scientist, Google DeepMind), Thomas Dohmke (CEO, GitHub), Matt Garman (CEO, AWS), Reid Hoffman (Founder, LinkedIn) and Fei Fei Li (Professor, Stanford).</li></ul>
Joining Resolve AI at this stage of our journey is a once-in-a-lifetime opportunity. You&rsquo;ve already decided that you want to work at an AI-native company that&rsquo;s pushing the limits of how engineers work, and now you&rsquo;re looking for the right one.
<h2 class="jobSectionHeader">What You&rsquo;ll Do</h2>
As Commercial Counsel at Resolve AI, you&rsquo;ll be a foundational legal partner supporting our go-to-market motion and helping scale our commercial legal infrastructure as the company grows. You&rsquo;ll work closely with Sales, Product, Engineering, Security, Finance, and leadership to enable the business to move quickly while managing risk thoughtfully.<ul><li>
Partner with Resolve&rsquo;s sales and business teams to draft, negotiate, and close inbound and outbound commercial agreements, including customer, partner, and vendor-initiated contracts, while balancing speed, risk, and business impact.</li><li>
Review, draft, and negotiate NDAs, master subscription and services agreements (MSAs/MSSAs), order forms, SaaS and cloud services agreements, data processing and security addenda, partner agreements, and customer licenses to use the Resolve AI platform.</li><li>
Work closely with Product, Engineering, Security, Finance, and leadership to ensure agreements align with internal policies, compliance requirements, and company objectives.</li><li>
Translate legal guidance into practical, business-oriented advice that enables teams to move quickly and confidently.</li><li>
Build and maintain scalable contracting frameworks, templates, and playbooks that improve consistency and efficiency as Resolve grows.</li><li>
Advise on regulatory and compliance considerations related to AI-driven and autonomous systems, including data usage, security, and customer risk allocation.</li><li>
Improve legal processes and tooling, including leveraging automation and AI to increase speed, quality, and visibility.</li></ul><h2 class="jobSectionHeader">
What We&rsquo;re Looking For</h2><ul><li>
J.D. from an accredited law school, active membership in at least one U.S. state bar, and ability to practice in California.</li><li>
4+ years of relevant experience supporting a high growth SaaS, enterprise software business, or AI company.</li><li>
Strong experience negotiating commercial and technology agreements in a fast-paced environment.</li><li>
Comfortable operating independently with strong judgment and a business-first mindset.</li><li>
Clear, effective communicator who collaborates well with technical and non-technical teams.</li><li>
Curiosity and enthusiasm for new technologies, including experience supporting AI-driven products or leveraging AI tools in legal workflows.</li><li>
Highly organized with strong project management skills.</li></ul>
We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law.</div>

Commercial Counsel

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

AbbVie

<div>Company Description 
At Allergan Aesthetics, an AbbVie company, we develop, manufacture, and market a portfolio of leading aesthetics brands and products. Our aesthetics portfolio includes facial injectables, body contouring, plastics, skin care, and more. Our goal is to consistently provide our customers with innovation, education, exceptional service, and a commitment to excellence, all with a personal touch. For more information, visit https://global.allerganaesthetics.com/. Follow Allergan Aesthetics on LinkedIn. 
Job Description 
At AbbVie, one of the largest pharmaceutical companies in the world. Our iconic brands include Botox, CoolSculpting, Juv&eacute;derm, and more. The medical aesthetics business is ripe for rapid growth and disruption, and we are looking for an experienced Staff Engineer to add to our high-performing team to do just that.
Our team has successfully launched a new and innovative technology platform, Allē, which serves millions of consumers, tens of thousands of aesthetics providers, and thousands of colleagues throughout the US. Since its launch in November 2020, Allē has delivered curated promotions, personalized experiences, and millions of consumers use it as part of their beauty journey. Now, we are looking for a Staff Engineer as we prepare to launch a new array of game-changing technologies on our successfully adopted platform.
We're looking for a Staff Engineer interested in working within a startup-oriented environment while having the backing of a very large company. If that's you, please read on. 
As the Staff Engineer, you will report to the Software Engineering Manager and continuously collaborate with key stakeholders across the business to solve the most critical technical problems.
You Will<ul><li>
Champion code quality, reusability, scalability security and strategic software architecture decisions</li><li>
Mentor software engineers utilizing code reviews, proven design patterns and your experience building large scale platform tooling</li><li>
Collaborate with Product, Project, and Engineering Management to take small ideas or concepts and turn them into high fidelity technical game plans and achieve the products and business goals</li><li>
Care about who you work with and how work is done. We hire carefully and the entire team is given the opportunity to take part in evaluating potential hires</li><li>
Relate to our core values and would like to contribute to a positive working environment and culture</li><li>
Drive the exploration and evaluation of AI-powered tools and technologies to enhance software engineering practice</li></ul> 
Qualifications<ul><li> 
Bachelor's Degree required</li><li>
At least 10+ years as a Full Stack Software Engineer</li><li>
Adept at drafting, validating and implementing software systems architecture using modern development and deployment technologies and can speak thoroughly to their tradeoffs.</li><li>
Experience organizing and prioritizing tasks with Product and Project Management for a team of 4+ Engineers</li><li>
Strong Experience with TypeScript/JavaScript, NestJS, Node.js</li><li>
Experience working with React, and React Native (bonus)</li><li>
Strong familiarity with data structures, algorithms and design patterns</li><li>
Proponent of code testing and familiar with the common frameworks for unit, integration and functional tests</li><li>
Expertise in PostgreSQL, including schema design, query optimization, and replication.</li><li>
Deep understanding of data modeling, ETL/ELT frameworks, and event-driven architecture.</li><li>
Experience with Kafka, Terraform, and AWS services.</li><li>
Proven success operating and scaling production systems with high reliability and observability.</li></ul> 

Additional Information 
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
<ul><li>The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at thetime of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location,and we may ultimately pay more or less than the posted range. This range may be modified in the future.
</li><li>We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
</li><li>This job is eligible to participate in our short-term incentive programs.
</li></ul>Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of anybonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's soleand absolute discretion unless and until paid and may be modified at the Company&rsquo;s sole and absolute discretion, consistent with applicable law. 
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US &amp; Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US &amp; Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html</div>

Staff Software Engineer

OpenAI

About the Team
 
The Synthetic RL team develops reinforcement learning methods that leverage synthetic data, environments, and feedback to train and evaluate frontier AI models. The team explores approaches such as self-play, simulators, and other synthetic evaluations to push model capability, generalization, and alignment beyond what is possible with the current prevailing methodology.
 
About the Role
 
As a
 
Research Scientist
 
on the Synthetic RL team, you will develop novel reinforcement learning techniques that use synthetic environments and feedback to improve large-scale models. You’ll work closely with other researchers to design experiments, analyze learning dynamics, and translate research insights into training approaches used in production systems.
 
We’re looking for researchers who enjoy working on open-ended problems, value fast iteration, and want their work to directly shape how frontier models are trained.
 
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
 
In this role, you will: 
Research and develop reinforcement learning algorithms
 
Design and run experiments to study training dynamics and model behavior at scale
 
Collaborate with engineers and researchers to integrate successful approaches into model training pipelines
 
You might thrive in this role if you: 
Have a strong background in reinforcement learning, machine learning research, or related fields
 
Have strong engineering and statistical analysis skills
 
Enjoy exploring new problem spaces where data, objectives, and evaluation are imperfect or evolving
 
Are motivated by seeing research ideas influence real-world AI systems
 
About OpenAI
 
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
For additional information, please see
 
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
 
.
 
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
 
this form
 
. No response will be provided to inquiries unrelated to job posting compliance.
 
We are committed to providing reasonable accommodations to applicants with disabilities.
 
OpenAI Global Applicant Privacy Policy
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
Compensation
 
$310K – $460K + Offers Equity

Researcher, Synthetic RL

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

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.
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Senior Data Scientist

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