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Rippling

<div><h2 class="jobSectionHeader">About Rippling</h2>
Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system. 
Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365&mdash;all within 90 seconds. 
Based in San Francisco, CA, Rippling has raised $1.4B+ from the world&rsquo;s top investors&mdash;including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock&mdash;and was named one of America's best startup employers by Forbes. 
We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.<h2 class="jobSectionHeader"> 
About the role</h2>
As a Fraud Risk Data Scientist in the Fraud Risk team at Rippling, you will play a key role in using advanced analytics and data-driven insights to identify, assess, and mitigate fraud risks across our financial products. The primary focus of this role is to develop robust data driven risk strategies that enhance fraud detection and prevention capabilities across various product lines, such as Payroll, Bill Pay, and Card Transactions. Risk machine learning model experience is a plus. Your responsibilities will include:<h2 class="jobSectionHeader">
What you will do</h2><ul><li>
Develop data-driven fraud detection strategies: Use advanced analytics to design and enhance fraud detection strategies that address risk in real-time across multiple financial products, including transaction monitoring, onboarding, and account takeover (ATO) detection.</li><li>
Analyze fraud patterns and risk trends: Perform deep analysis on transactional data to identify fraud patterns, emerging threats, and vulnerabilities, and translate these findings into actionable risk mitigation strategies.</li><li>
Collaborate across teams: Work closely with Fraud Risk Strategy, Security, Product, and Engineering teams to align fraud prevention initiatives with business goals, ensuring analytics-driven decisions are integrated into product development and operational workflows.</li><li>
Conduct comprehensive cost-benefit analyses: Evaluate the trade-offs between fraud risk reduction, customer experience, and operational efficiency to develop optimal fraud prevention strategies.</li><li>
Enhance ATO detection through data analysis: Use data analytics to identify suspicious behaviors and enhance ATO detection, working closely with the security team to define rules, analyze data, and measure effectiveness.</li><li>
Monitor and refine risk strategies: Continuously assess and improve fraud detection strategies based on new data insights, fraud trends, and ongoing performance evaluations to stay ahead of emerging fraud tactics.</li><li>
Collaborate across teams, including Security, Sales, Customer Service, and Compliance, to enhance fraud monitoring and response capabilities.</li><li>
Partner with R&amp;D to design, build, and maintain tools for fraud detection and investigation, ensuring they meet evolving business needs.</li></ul><h2 class="jobSectionHeader">
What you will need</h2><ul><li>
1+ year of experience in data science and analytics: Demonstrated experience in using analytics and data science techniques to solve fraud-related challenges, particularly in financial technology, payments, or SaaS industries.</li><li>
Expertise in data analysis: Proficient in extracting insights from large datasets, with hands-on experience using tools such as Python, R, SQL, and other data analysis platforms to create robust fraud detection strategies.</li><li>
Data-driven approach to decision-making: Experience in developing data-driven strategies that address fraud risks while balancing the impact on customer experience and operational efficiency.</li><li>
Effective cross-functional collaboration: Proven ability to collaborate with product, risk, security, and engineering teams to drive fraud risk initiatives.</li><li>
Educational background: Bachelor's degree in a relevant field such as Data Science, Mathematics, Statistics, or Operations Research. A Master&rsquo;s degree is preferred.</li></ul><h2 class="jobSectionHeader">
Nice to Have</h2><ul><li>
Experience with machine learning models: Familiarity with building and deploying machine learning models for fraud detection.</li><li>
Experience in SaaS or FinTech environments: Prior experience working in a fast-paced, tech-driven environment with a focus on financial services or SaaS is beneficial.</li></ul><h2 class="jobSectionHeader">
Additional Information</h2>
Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accomodations@rippling.com 
Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role. 
This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here. 
A variety of factors are considered when determining someone&rsquo;s compensation&ndash;including a candidate&rsquo;s professional background, experience, and location. Final offer amounts may vary from the amounts listed below. 
The pay range for this role is: 
124,000 - 155,000 USD per year(US Tier 1)</div>

Fraud Risk Data Scientist

Aurora Innovation

<div><div>Who we are
<div>
Aurora's mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.</div><div> 
The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.</div> 
<div></div>
<div>
At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn.</div></div><div></div> 
Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. On the Risk &amp; Safety Data Science sub-team of Aurora Data Solutions (ADS), you'll join a world-class group of data scientists, analysts, and engineers whose mission is to generate insights and intelligence that will help us safely and broadly commercialize autonomous vehicle technology. We leverage vast amounts of on-road and simulated data to accelerate the development of the Aurora Driver, identifying key drivers of risk and informing critical decisions about our safety case. This is an opportunity to work at the intersection of cutting-edge data science and hardware/software development. As part of a consolidated data team, you will collaborate with diverse stakeholders across engineering, operations, and product, all while championing data best practices to accelerate our &quot;data to insights&quot; process. If you thrive on complex, cross-functional projects and are passionate about using data to solve the most challenging problems in transportation, joining Aurora Data Solutions is the perfect opportunity.

As the Senior Manager of Data Science for the Risk &amp; Safety sub-team, you will be a strategic leader, people manager, and technical visionary. You will be responsible for defining the team's roadmap, ensuring our work is directly aligned with the company's safety and commercialization goals. You'll lead a team of high-performing data scientists and analysts, fostering a culture of technical excellence, collaboration, and impact.

In this role, you will
<ul>
<li>Define and execute the data science strategy for the Risk &amp; Safety sub-team, ensuring alignment with the broader Aurora Data Solutions charter and company objectives.</li>
<li>Lead, mentor, and grow a team of data scientists and analysts, helping them develop their skills, define career paths, and deliver high-impact work.</li>
<li>Serve as a primary liaison with key stakeholders across the Safety, Hardware, and Software engineering organizations to identify needs and prioritize data science initiatives.</li>
<li>Oversee the development of core safety models, metrics, and analyses, ensuring technical rigor and relevance to our safety case and product development.</li>
<li>Manage the team's project portfolio, balancing immediate business needs with long-term strategic investments.</li>
<li>Act as a leader in the broader Aurora Data Solutions team, championing data governance, tooling strategy, and analytics best practices.</li>
<li>Communicate the team's mission and successes to senior leadership, demonstrating the value of data science in achieving our safety and commercialization goals.</li>
</ul>
Required Qualifications
<ul>
<li>A minimum of 10+ years of experience in data science, analytics, or a related field, with at least 5 years in a leadership or management role.</li>
<li>Demonstrated success in building, leading, and managing high-performing data science teams.</li>
<li>Proven ability to develop and execute a data strategy that delivers measurable business impact.</li>
<li>Deep technical understanding of statistical analysis, machine learning, and data modeling, and a track record of applying these skills to complex, real-world problems.</li>
<li>Exceptional communication and interpersonal skills, with the ability to influence and build strong relationships with cross-functional partners and senior leadership.</li>
</ul>
Desirable Qualifications
<ul>
<li>Deep domain expertise in the autonomous vehicle industry, with a focus on safety standards, regulatory frameworks, and OEM partnerships.</li>
<li>Proven track record of building and managing data teams that directly support safety-critical product development and regulatory compliance.</li>
<li>Strong understanding of safety engineering principles (e.g., risk assessment, hazard analysis) and experience applying data science to validate safety claims and improve system reliability.</li>
<li>Advanced degree (MS or PhD) in Statistics, Computer Science, Operations Research, Economics, or a related quantitative field</li>
<li>Experience working with data transformation tools such as DBT</li>
<li>Experience working on ETL pipelines and leveraging big data engines</li>
<li>Experience using Amazon Web Services (AWS) tools</li>
<li>Experience in the Autonomous Vehicle, Robotics, or Advanced Transportation spaces</li>
</ul>
The base salary wage range for this position is $212,000-$340,000 per year. Aurora's pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#LI-SP1

#Mid-Senior<div>
Working at Aurora 
 
At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together &mdash; all without any jerks. Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom.

Commitment to inclusion

Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are 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, you may contact us at careersiteaccommodations@aurora.tech.

For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora's California Employment Privacy Policy.</div></div>

Senior Manager, Risk & Safety Data Science

Genentech

<div><div><div>THE POSITION</div>
Why Genentech
We&rsquo;re passionate about delivering on Our Promise to improve the lives of patients and create healthier communities for all. We foster a culture of inclusivity, integrity and creativity while boldly pursuing answers to the world&rsquo;s most complex health challenges and transforming society.
Who We Are
Our Data, Analytics, and AI team is dedicated to solving complex healthcare challenges and improving patient outcomes. Data, Analytics, and AI empowers business partners across Commercial, Medical, and Government Affairs (CMG) to make impactful decisions by leveraging data, analytics, business products, and AI/ML to enable fast, targeted actions in rapidly evolving business contexts.
Data, Analytics, and AI team members foster a unified understanding of customers, actions, and outcomes by integrating analytics and insights seamlessly into CMG&rsquo;s evolving digital, data, and automation platforms, creating scalable solutions and eliminating silos.
In Data, Analytics, and AI, you will work as a trusted, objective advisor and expert, recommending critical decisions and actions to be taken with credibility and a focus on driving measurable impact. You will be part of a thriving culture built on collaboration and innovation.
Job Summary
The Principal Data Science / AI Product Manager (Analytical Workbench) in Genentech is responsible for driving the development and execution of cutting-edge AI/Machine Learning (ML) product features that elevate Genentech&rsquo;s customer experience and deliver measurable business impact. Focused on the Analytical Workbench&mdash;a flagship platform enabling scalable analytics and insight delivery&mdash;this role plays a critical part in advancing Genentech&rsquo;s digital transformation. This position partners closely with cross-functional teams and product leaders to shape digital-forward roadmaps, translate user feedback and market trends into actionable product enhancements, and build compelling business cases for innovation. With a strong focus on user-centric design and strategic foresight, this role leads the integration of AI/ML into enterprise platforms, identifies unmet customer needs, and ensures the Analytical Workbench evolves into a central enabler of fast, targeted decision-making.
The role also supports high-quality solution delivery through external team management, mentors peers to foster organizational expertise, and ensures seamless collaboration across business and technology functions for enterprise-wide success.
Key Responsibilities<ul><li>
Drive the overarching AI/ML product vision and strategy for the Analytical Workbench, leading the innovation of our AI/ML and analytics platform to support varying CMG use cases across the customer journey.</li><li>
Collaborate with cross-functional teams (e.g., Data Science, Data, Informatics/IT) and the Director, Analytical Workbench - Data Science/AI Product Owner to shape digital-forward product roadmaps and maintain a prioritized, stack-ranked product backlog for capabilities such as a data science/AI workbench, analytics co-pilot(s), coding assessments, and visualization tools.</li><li>
Develop and own comprehensive AI/ML product roadmaps for the Analytical Workbench based on deep user research, market trends, business impact, and data insights&mdash;ensuring a differentiated and exceptional user experience.</li><li>
Collect and analyze user feedback, market signals, platform data, and UAT results to inform product requirements and drive meaningful feature enhancements within the Analytical Workbench.</li><li>
Provide a comprehensive set of tools for data scientists to perform their work throughout the AI/ML product lifecycle, enabling data exploration, preparation, model training, model evaluation, model validation, visualization, collaboration tools, and deployment.</li><li>
Manage other AI applications that are used to drive and enable business use cases in a federated model across Genentech Commercial, Medical and Government Affairs (CMG); institute governance, standards, and best practices for the utilization of these AI applications.</li><li>
Steward ethical AI guidelines, responsible AI principles, and fairness and bias mitigation process specific to Genentech Commercial, Medical, and Government Affairs (CMG).</li><li>
Facilitate effective communication about the Analytical Workbench&rsquo;s value proposition and progress with internal teams and end users, ensuring alignment with both market demands and technical feasibility.</li><li>
Partner closely with the Director, Analytical Workbench - Data Science / AI Product Owner to lead the development of business cases for integrating AI/ML into new and existing Analytical Workbench capabilities, aligned with Genentech&rsquo;s integrated customer experience transformation.</li><li>
Identify and capitalize on unmet or unarticulated user needs by embedding AI/ML functionality into the Analytical Workbench, shaping enterprise strategy and accelerating digital transformation.</li><li>
Manage external (US or offshore) consultants, ensuring delivery of high-quality, scalable solutions that align with platform architecture and user needs.</li><li>
Orchestrate collaboration across business, IT, and enterprise product teams to ensure integrated execution, strong governance, and transformative outcomes across CMG.</li><li>
Comply with all laws, regulations, and company policies that govern the conduct of Genentech activities.</li></ul>
Who You Are
Minimum Candidate Qualifications &amp; Experience<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Engineering, or an equivalent technical field.</li><li>
8 years of combined experience in product management, data science, AI, software development or equivalent experience.</li><li>
Experience owning the entire Data Science /AI product lifecycle&mdash;from ideation and strategy to market execution and post&#8209;launch optimization&mdash;ensuring comprehensive governance and measurable business outcomes.</li><li>
Proven experience in setting and driving the AI/ML product vision and strategy at an enterprise level, with a focus on transformative digital initiatives.</li><li>
Demonstrated ability to engage, influence, and communicate with senior leaders and executive stakeholders.</li><li>
Experience managing complex, multi&#8209;unit product roadmaps and integrating AI/ML initiatives across varying business segments.</li><li>
Solid background in leading high&#8209;impact experimentation efforts and using data&#8209;driven insights to continuously innovate product offerings.</li><li>
Demonstrated experience researching AI/ML industry trends and integrating insights into product strategy and roadmaps.</li><li>
Ability to write detailed, technical product specifications and present effectively to both technical and non&#8209;technical audiences.</li><li>
Strong understanding of agile methodologies such as Kanban and Scrum.</li><li>
Ability to innovate and foster experimentation to improve product capabilities.</li><li>
Robust knowledge of enterprise architectures and solutions (e.g., SaaS, PaaS, IaaS).</li><li>
Relevant certifications in product management, machine learning, data science, or related disciplines.</li></ul>
Additional Desired Candidate Qualifications &amp; Experience<ul><li>
Advanced degree or equivalent experience (e.g., MBA or related graduate-level qualification).</li><li>
Experience in healthcare, pharmaceutical, or other highly regulated industries.</li><li>
Demonstrated ability to mentor and coach cross&#8209;functional teams and to lead by example through a practice-based apprenticeship model.</li><li>
Subject matter expertise in product management, with a history of innovating and transforming digital product capabilities.</li><li>
Experience with tools and platforms used in citizen data science, automated analytics, and collaborative modeling environments.</li><li>
Familiarity with performance monitoring, platform scalability strategies, and cost optimization.</li><li>
Hands-on exposure to user research or design-thinking approaches to improve data tool usability and effectiveness.</li></ul>
Location<ul><li>
This position is based in South San Francisco, CA</li><li>
Relocation Assistance is not available</li></ul>
The expected salary range for this position based on the primary location of South San Francisco, CA is $207,480 - $385,320. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
 Benefits
#BoFTSAI
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
Computational Biology
</div><div>Schedule
Full time
</div><div>Job Type
Regular
</div><div>Posted Date
Sep 10th 2025
</div><div>Job ID
202505-111594</div></ul></div></div></div></div>

Principal Data Science / AI Product Manager (Analytical Workbench)

Common Sense Media

<div>
 
 Description
 
 
 
 
 Data Analyst
 
 
 
 Common Sense Media is dedicated to improving the lives of kids and families by providing the trustworthy information, education, and independent voice they need to thrive. Our ratings, research, and resources reach more than 150 million users worldwide and 1.4 million educators every year. Learn more at .
 
 
 
 Job Overview
 
 
 
 We're looking for a Data Analyst to join our growing data team and help drive product innovation and membership growth at Common Sense. In this role, you'll analyze user behavior and engagement across our website and mobile apps, turning complex data into clear, actionable insights. Your work will directly influence product development, marketing strategy, and the overall user experience for millions of families.
 
 
 You'll collaborate closely with Product, Marketing, and Engineering teams, helping us measure success, improve decision-making, and expand our self-service analytics capabilities. We're also exploring how AI-powered analytics tools can accelerate insights, automate reporting, and support smarter experimentation, and you'll play a role in shaping that direction.
 
 
 Location: San Francisco, California
 
 
 Reports To: Senior Director, Data &amp; Technology
 
 
 Salary: $85,600&ndash;$101,650 per year
 
 
 Type: Full-time, exempt
 
 
 
 What You'll Do
 
 
 
 Data Analysis &amp; Insight Delivery
 
 
 <ul>
 <li>
 Analyze user behavior, engagement patterns, and conversion funnels across web and mobile.
 </li>
 <li>
 Identify opportunities to improve the user experience by mapping cross-platform user journeys.
 </li>
 <li>
 Generate actionable insights to inform product features, marketing campaigns, and growth strategies.
 </li>
 <li>
 Partner with the Product and Marketing teams to define success metrics and ensure accurate event tracking.
 </li>
 <li>
 Experiment with AI-driven analytics tools to automate analysis, uncover trends, and speed up insight generation.
 
 
 </li>
 </ul>
 Reporting &amp; Communication
 
 
 <ul>
 <li>
 Build and maintain dashboards and reports that track KPIs across web and app experiences.
 </li>
 <li>
 Create compelling visualizations and narratives that make data accessible to stakeholders at all levels.
 </li>
 <li>
 Present findings and recommendations to leadership, driving data-informed decision-making.
 </li>
 <li>
 Contribute to developing best practices in reporting, including AI-assisted data visualization and storytelling.
 
 
 </li>
 </ul>
 Data Quality &amp; Governance
 
 
 <ul>
 <li>
 Ensure accuracy and consistency in tracking and reporting across analytics platforms.
 </li>
 <li>
 Collaborate with Engineering on event taxonomy, tracking validation, and implementation.
 </li>
 <li>
 Support the migration from Google Analytics to Amplitude, and help document best practices.
 
 
 </li>
 </ul>
 Strategic Contribution
 
 
 <ul>
 <li>
 Provide insight into acquisition channels, retention drivers, and cross-platform engagement.
 </li>
 <li>
 Support A/B testing and experimentation programs to optimize product and marketing initiatives.
 </li>
 <li>
 Analyze content performance and usage trends to inform the product road map.
 </li>
 <li>
 Explore how emerging AI analytics solutions can augment experimentation, predictive modeling, and personalization.
 
 
 </li>
 </ul>
 What We're Looking For
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 4+ years of experience in data analysis, product analytics, or business intelligence.
 </li>
 <li>
 Strong SQL skills for data extraction and analysis.
 </li>
 <li>
 Hands-on experience with a product analytics platform (Amplitude, Mixpanel, Heap, etc.) and the ability to learn new tools quickly.
 </li>
 <li>
 Solid understanding of statistical analysis and A/B testing.
 </li>
 <li>
 Proficiency with data visualization tools (Excel/Google Sheets, Tableau, Power BI, or similar).
 </li>
 <li>
 Curiosity about and/or experience with AI-assisted analytics platforms (e.g., ThoughtSpot, Akkio, ChatGPT-powered BI, or similar emerging tools).
 </li>
 <li>
 Strong business acumen, with the ability to translate data into strategic insights.
 </li>
 <li>
 Excellent communication skills, with the ability to tell stories with data and influence non-technical stakeholders.
 </li>
 <li>
 Collaborative approach to working with the Product, Marketing, and Engineering teams.
 </li>
 <li>
 Bachelor's degree in a quantitative field (data science, statistics, economics, mathematics, etc.).
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Direct experience with Amplitude and/or GA4.
 </li>
 <li>
 Familiarity with email marketing metrics and platforms (e.g., Braze, Salesforce Marketing Cloud).
 </li>
 <li>
 Experience designing and analyzing experiments (A/B testing platforms a plus).
 </li>
 <li>
 Knowledge of ETL pipelines, data warehouses, and SQL databases.
 </li>
 <li>
 Experience with consumer-facing digital products, mobile apps, or membership-based platforms.
 </li>
 <li>
 Background in content platforms, edtech, or family-focused organizations.
 </li>
 <li>
 Python or R skills for advanced analysis.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 The chance to work with talented, passionate professionals.
 </li>
 <li>
 A great health and welfare benefits package, including medical, dental, vision, and a matching 401(k).
 </li>
 <li>
 An organization that offers work/life balance.
 </li>
 <li>
 The opportunity to really make a difference in the lives of kids and families!
 
 
 </li>
 </ul>
 Common Sense Media provides equal employment opportunities to all qualified individuals and prohibits discrimination and harassment of any type without regard to race, color, religion, sex, gender identity, sexual orientation, pregnancy, age, national origin, physical or mental disability, military or veteran status, genetic information, or any other protected classification or characteristic protected by federal, state, or local laws.
 
 
 Common Sense Media will also consider for employment qualified applicants with arrest and conviction records. However, job offers are made on the condition that the applicant subsequently passes a criminal background check. If the background check indicates a prior criminal conviction, we will conduct an individualized assessment to determine whether the conviction should result in denial of employment. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment for qualified applicants with arrest and conviction records.
</div>

Data Analyst

Workstream

<div><div>Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive.

Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue.</div>
Grow With Us

Workstream is looking for a Data Engineer to design and build the data foundation for our outbound ICP and lead scoring engine. This role will own the architecture, pipelines, and data models needed to ingest millions of external signals (reviews, marketplace listings, website data, POS integrations), transform them into usable insights, and feed predictive scoring models that will directly guide our sales and marketing teams. You'll sit at the intersection of data engineering, growth, and go-to-market strategy, enabling smarter targeting and more scalable outbound.

This is more than a back-end engineering role; we're looking for someone who can move fast, think creatively, and take ownership of a net-new project with direct business impact. You'll collaborate with data science, RevOps, and GTM leaders to bring the system to life&mdash;and you'll be the single-threaded owner of its success.

Day in the Life

Data Infrastructure &amp; Pipelines
<ul>
<li>Design and implement a scalable data warehouse and ETL pipelines to consolidate large volumes of third-party and internal data.</li>
<li>Build reliable data models that capture firmographics, technographics, marketplace volume, location signals, and outreach history.</li>
<li>Ensure data quality, deduplication, and enrichment processes are automated and scalable.</li>
</ul>
Lead Scoring &amp; ICP System
<ul>
<li>Partner with data science to productionize account scoring models (Expected GMV, E-Win Rate, etc.).</li>
<li>Continuously expand and refine the dataset by adding new signals (reviews, POS adoption, competitive presence).</li>
<li>Ensure scoring outputs integrate cleanly into Salesforce and other GTM systems to drive real-time usage.</li>
</ul>
Business Enablement
<ul>
<li>Collaborate with GTM leaders to align the scoring system with outbound workflows, BDR routing, and marketing campaigns.</li>
<li>Translate business requirements into technical specifications, ensuring the system serves multiple teams (Sales, SDRs, Marketing).</li>
<li>Support experimentation with outbound messaging by capturing feedback data and routing it into the scoring loop.</li>
</ul>
Who You Are
<ul>
<li>4&ndash;7 years of experience in data engineering, analytics engineering, or data science in a high-growth B2B SaaS environment.</li>
<li>Strong command of SQL and Python for building and automating data workflows.</li>
<li>Experience designing and maintaining data warehouses (Snowflake preferred) and building pipelines from scratch.</li>
<li>Familiarity with integrating data into Salesforce or other CRMs via APIs, Bulk API, or reverse ETL tools.</li>
<li>A creative, hacker mindset: comfortable sourcing and cleaning messy external datasets, using scrapers, APIs, and enrichment tools.</li>
<li>Ability to operate independently with limited structure&mdash;comfortable owning a greenfield project end-to-end.</li>
<li>Strong business judgment and communication skills; able to work cross-functionally and explain technical concepts to non-technical stakeholders.</li> 
</ul>
Nice to Have
<ul>
<li>Experience with lead scoring, ICP modeling, or sales intelligence systems.</li>
<li>Familiarity with dbt, Airflow, or other data pipeline orchestration tools.</li>
<li>Exposure to lightweight ML frameworks (XGBoost, logistic regression) for predictive modeling.</li>
<li>Prior startup experience where you've built data systems from scratch.</li>
</ul><h3 class="jobSectionHeader">What Success Looks Like in This Role</h3>
<ul><li>Establish a reliable, scalable data foundation that consolidates external signals and internal activity into one source of truth.</li>
<li>Deliver an ICP and lead scoring system that is actively used by sales and marketing to prioritize accounts and improve outbound efficiency.</li>
<li>Create clear pathways for integrating scores and insights into Salesforce and other GTM tools so adoption is seamless.</li>
<li>Build a repeatable process for expanding the system with new data sources, ensuring it continues to get smarter and more valuable over time.</li>
<li>Earn trust across data science and GTM by moving fast, showing tangible business impact, and setting a high bar for data quality.</li>
<li>Position the system as a long-term growth engine, not just a one-off project, with room to evolve into broader RevOps and go-to-market intelligence.</li>
</ul><h3 class="jobSectionHeader">Working at Workstream</h3>

We operate with urgency, ownership, and a growth mindset. 
This is not a traditional 9-to-5 role&mdash;we value accountability, flexibility, and getting results. 
If you thrive in high-growth environments and are passionate about building from scratch, we'd love to connect.

What We Offer
<ul>
<li>A mission-driven and value-based company dedicated to empower deskless workers and local businesses</li>
<li>An early employee opportunity at a Series B hyper-growth startup; work with the founding team and industry veterans to accelerate your career</li>
<li>Competitive salary and equity</li>
<li>Work directly with the founding team and industry veterans to accelerate your career</li>
<li>Competitive salary and equity</li>
<li>Comprehensive health coverage: medical, dental, and vision. We pay 95% of premiums for employees and 85% for dependents</li>
<li>In-office amenities and stocked kitchen</li>
<li>401(k) Plan</li>
<li>Pre-tax commuter benefits</li>
<li>Learning and development stipend</li>
</ul>
Salary

 In compliance with the California Pay Transparency Law, the salary for this role is $120,000 - $150,000 in SF Bay Area. This is not inclusive of our equity package. When determining a candidate's compensation, we consider a number of factors including skillset, experience, job scope, and current market data.<div>
Additional Information

Workstream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

We are committed to the full inclusion of all qualified individuals.</div></div>

Data Engineer

Atlassian

<div>Overview:

Working at Atlassian
Atlassians can choose where they work &ndash; whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Responsibilities:

Data is a big deal at Atlassian. We ingest billions of events each month into our analytical platforms and have dozens of teams across the company that depend on data platforms to drive their decisions.
Atlassian is looking for an Engineering Leader to join the Data Engineering team and build data products that power product strategy and important decisions across the organization . We are looking for a leader passionate about building systems at scale. You will lead a world-class data engineering practice, shape up technical strategy and data architecture, and develop data products to enable reporting, analytics, data science, machine learning, and AI workloads.
As the data domain specialist, you will partner with IT, data platform, product engineering, analytics teams and data scientists to support multiple programs. This is a remote position and will report to the Head of Engineering.
Qualifications:

On your first day, we'll expect you to have:<ul><li>
15+ years of experience in building and scaling data teams with a focus on data strategy, infrastructure planning, architecture, and data products</li><li>
10+ years of experience leading data engineering teams, experience managing managers of managers, and experience scaling organizations with over 20+ engineers across geographies</li><li>
10+ Years of experience delivering data and analytics solutions for product teams</li><li>
Product sense with an understanding of product drivers and of how to guide value using data across the organization</li><li>
Demonstrated experience developing influential relationships and trust with senior leaders across different departments</li><li>
Prior experience partnering with Analytics , Data Science, Engineering and Product Management teams</li><li>
Experience building Microservices and RESTful APIs</li><li>
Experience implementing DevOps best practices within the data platform, including solutions for CI/CD, data observability, monitoring, and lineage</li><li>
Experience with BI tools like Tableau, Amplitude, and Redash</li><li>
A graduate degree in Computer Science or a similar subject area</li></ul>
It's great but not required if you have:<ul><li>
Experience working for SAAS companies</li><li>
Experience with Machine Learning</li><li>
Committed code to open source projects</li></ul>
Compensation
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $234,000 - $305,500
Zone B: $210,600 - $274,950
Zone C: $194,400 - $253,800
This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
Benefits &amp; Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh.</div>

Head of Data Engineering

Integral Ad Science

<div>Integral Ad Science (IAS) is a global technology and data company that builds verification, optimization, and analytics solutions for the advertising industry and we&rsquo;re looking for a Staff Machine Learning Engineer for our Data Science Team. If you are excited by technology that has the power to handle hundreds of thousands of transactions per second; collect tens of billions of events each day; and evaluate thousands of data points in real-time all while responding in just a few milliseconds, then IAS is the place for you!

As a Staff Machine Learning Engineer 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. You will be responsible for overseeing a sophisticated suite of data science systems making large scale business predictions in advertising inventory across open web, social networks, video/CTV, and mobile apps. 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 for our clients. Innovation is at the heart of our competitive advantage, and innovation starts with people and culture. You will manage a group of data scientists and cultivate innovation in their work, developing high performing talent, 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>Build large-scale deep learning infrastructure or platforms for distributed model training</li>
<li>Build large-scale distributed systems with tools such as Kubernetes, Kafka, Prometheus, etc.</li>
<li>Develop deep learning frameworks</li>
<li>Drive system design for our AI/ML-based services.</li>
<li>Design, develop and support our CI/CD pipeline for AI/ML-based services.</li>
</ul>
You should apply if you have most of this experience:
<ul>
<li>PhD/Master&rsquo;s degree in technical field such as computer science, mathematics, statistics or equivalent years of experience</li>
<li>7-10+ years machine learning experience in industry</li>
<li>Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks</li>
<li>Experience building large-scale deep learning infrastructure or platforms for distributed model training</li>
<li>Experience with large-scale AI training infra components, such as accelerators, network fabrics, CUDA, NCCL, RDMA</li>
<li>Strong programming skills in Python or Go; understanding of data structures, software design principles, and algorithms</li>
</ul><ul><li>Experience working with machine learning, ranking infrastructures, and system design</li>
<li>Strong understanding of machine learning approaches and algorithms</li>
<li>Able to prioritize duties and work well on your own</li>
<li>Ability to work with both internal and external partners</li>
<li>Skilled at solving open ambiguous problems</li>
<li>Strong collaboration and mentorship skills

California Applicants: The salary range for this position is $150,900 - $200,400. Actual pay may vary based on experience or geographic location.
</li>
</ul>About Integral Ad Science

Integral Ad Science (IAS) is a global leader in digital media quality. IAS makes every impression count, ensuring that ads are viewable by real people, in safe and suitable environments, activating contextual targeting, and driving supply path optimization.

Our mission is to be the global benchmark for trust and transparency in digital media quality for the world&rsquo;s leading brands, publishers, and platforms. We do this through data-driven technologies with actionable real-time signals and insight. Founded in 2009 and headquartered in New York, IAS works with thousands of top advertisers and premium publishers worldwide. 


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>

Staff Machine Learning Engineer

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