data engineer

data scientist - copilot and ai tools- retail industry Jobs in San Francisco

data scientist - copilot and ai tools- retail industry

data services assistant Jobs in San Francisco

data services assistant

director, data science (it) Jobs in San Francisco

director, data science (it)

machine learning engineer / ai engineer Jobs in San Francisco

machine learning engineer / ai engineer

data scientist

GHKTech

<p>Job Title: Data Scientist - Co-Pilot/AI/Agentic tools</p><p>(Long-Term Contract &ndash; 12+ Months)</p><p>Location: Hybrid &ndash; 1 Day/ Week in San Francisco downtown, Remote rest of the week</p><p>Job Overview: We are seeking a highly skilled and motivated Data Scientist to join the Supply Chain IT Group of a leading multinational retailer. This is a long-term contract opportunity (12+ months) designed for professionals who are passionate about leveraging AI to solve complex business problems in the supply chain and IT space. The ideal candidate will bring hands-on experience with AI and Co-Pilot tools, demonstrate strong capabilities in deploying agentic AI solutions, and be comfortable communicating technical concepts to both technical and non-technical stakeholders. This is a hybrid role, requiring one day per week onsite at our client&rsquo;s San Francisco downtown office, with the flexibility to work remotely the rest of the week.</p><p>Key Responsibilities: <b>Collaborate with cross-functional teams within the IT and supply chain domains to understand business challenges and identify opportunities for AI-driven solutions. </b> Design, develop, and deploy AI and machine learning models tailored to optimize supply chain processes and decision-making. <b>Utilize AI tools and frameworks to build agentic AI systems that can automate and augment complex tasks. </b> Implement and manage Co-Pilot-style solutions to assist internal users with intelligent automation and data-driven decision support. <b>Translate complex data insights into clear, actionable recommendations through compelling visualizations, presentations, and written reports. </b> Work closely with IT stakeholders to ensure smooth integration of data science solutions into existing infrastructure and workflows. <b>Stay updated on the latest advancements in AI, machine learning, and supply chain technologies to continuously enhance solution capabilities.</b></p><p>Required Qualifications: <b>Proven experience as a Data Scientist with a strong portfolio of AI/ML projects. </b> Strong hands-on expertise with AI tools, libraries, and frameworks. <b>Demonstrated experience deploying agentic AI solutions (e.g., AI agents that perform autonomous decision-making or task execution). </b> Strong understanding and practical experience with Co-Pilot tools. <b>Excellent verbal and written communication skills, with a proven ability to present technical findings to diverse audiences. </b> Comfortable working in IT-driven environments, collaborating with engineers, analysts, and business users.</p><p>Preferred Skills: <b>Experience in Supply Chain operations or technology is strongly preferred. </b> Familiarity with cloud platforms and MLOps practices. <b>Background in retail or logistics data analytics. </b> Experience with large language models (LLMs), retrieval-augmented generation (RAG), or enterprise knowledge management tools. <b>Understanding of data governance, security, and compliance in enterprise settings</b></p><p>Job Type: Contract</p><p>Pay: From $80.00 per hour</p><p>People with a criminal record are encouraged to apply</p><p>Experience:</p><ul><li>Data science: 10 years (Required)</li><li>AI: 3 years (Required)</li></ul><p>Ability to Commute:</p><ul><li>San Francisco, CA 94103 (Required)</li></ul><p>Work Location: Hybrid remote in San Francisco, CA 94103</p>

Data Scientist - Copilot and AI tools- Retail industry

Waymo

<div><div><p>Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</p></div><p>
Waymo's Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact projects across the company &mdash; from driving quality and operational efficiency to market analysis and rider satisfaction scores &mdash; we help to safely and efficiently scale the Waymo Driver. We are data-driven, curious, open-minded, and adapt quickly to new information.</p>
<p><i>
In this hybrid role, you will report to a Product Data Science Lead.</i></p>
<p></p>
<p><b>You will:</b></p>
<ul>
<li>Partner with Product Managers, Engineers, Program Managers to identify the right measurement for business performance, design and implement foundational data pipelines, and build the right reports and visualizations to drive insights.</li>
<li>Develop deep understanding of various metrics, datasets, and data sources in relation to the rich business and operational context across the entire product landscape.
</li><li>Build and maintain state of the art reporting infrastructure to enable continuous decision making</li>
<li>Perform advanced analytical modelling as necessary to help drive the right decisions.
</li><li>Drive a culture of excellence and help establish best practices within the broader data science team.</li>
</ul>
<p></p><p><b>You have:</b></p>
<ul>
<li>5+ years of experience in a related technical field or equivalent practical experience</li>
<li>Ability to scope, structure, and solve ambiguous problems independently</li>
<li>Coding experience with Python and SQL to design and implement complex data pipelines following best practices</li>
<li>Statistical knowledge/data intuition</li>
<li>Experience interacting with senior leadership</li>
</ul>
<p></p><p><b>We prefer:</b></p>
<ul><li>
Experience in the AV industry / Mapping / Ridesharing / Consumer Tech / People Analytics</li></ul>
<p></p><div><div>
<div><p>The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.</p>
<p>
Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.</p>
</div>
<div>Salary Range</div>
<div>$158,000&mdash;$200,000 USD</div></div></div></div>

Senior Business Intelligence Analyst

Column

<div><h2 class="jobSectionHeader"><b>About Column</b></h2><p>
For companies building financial technology and transforming the financial services space, the biggest bottleneck to their growth and innovation is often the underlying banks and infrastructure stack they rely on. We have spent our careers founding and scaling companies like Plaid, Square, Meta, Blend, and Affirm, and have seen this problem firsthand &mdash; builders and developers needing to partner with traditional banks, and creating API and abstraction layers over the patchwork that is the bank, its core, and many other vendors. All of this results in a complex (and often expensive) banking supply chain involving a user, fintech, BaaS middleware provider, bank, core and the Federal Reserve.</p><p><br>
At Column, we set out to simplify and fix this. We are a bank and a software company built from the ground up, offering builders and developers technology-forward banking solutions that cut out the hundreds of vendors, middleware providers, and abstraction layers. This means a safer, more transparent, and less costly banking supply chain. Come build with us!</p><p></p><h2 class="jobSectionHeader"><b>
The opportunity:</b></h2><p>
As Column&rsquo;s first Data Engineer, you&rsquo;ll lay the foundation for our entire data platform, which is built on the world&rsquo;s most advanced, in-house banking core and processes trillions of dollars of payments annually. You&rsquo;ll be responsible for building and scaling the pipelines and infrastructure that power internal analytics, compliance reporting, and customer insights. You&rsquo;ll work closely with engineering, compliance, risk, and operations teams to design systems that are fast, reliable, and auditable from day one. This is a high-impact, high-ownership role for someone who&rsquo;s excited about building clean systems that power a regulated institution at scale.</p><p>
This role reports directly to our CEO as a member of our engineering team, and is an in-person role located in our Presidio-based, San Francisco office (3-4 days/week) - we will support relocation for the right candidate.</p><p></p><p>
Read more about Life @ Column and our hiring process here.
</p><p></p><h2 class="jobSectionHeader"><b>What you&rsquo;ll do:</b></h2><ul><li><p>
Design and own Column&rsquo;s data infrastructure and ETL pipelines</p></li><li><p>
Partner with product and infra teams to define eventing strategy and log structure</p></li><li><p>
Build tools for internal users (Finance, Risk, Compliance, Ops) to self-serve critical data</p></li><li><p>
Own data models and warehouse architecture across core banking systems</p></li><li><p>
Ensure data quality, observability, and regulatory compliance (e.g., audit trails)</p></li><li><p>
Define best practices for analytics engineering and scalable reporting</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What you&rsquo;ll need to be successful:</b></h2><ul><li><p>
5+ years of experience as a data or software engineer, ideally at a startup or high-growth fintech</p></li><li><p>
Experience designing and maintaining data pipelines in production</p></li><li><p>
Strong fluency with SQL and at least one general-purpose programming language (e.g., Python, Go)</p></li><li><p>
A bias toward simplicity, with a track record of building maintainable systems</p></li><li><p>
Understanding of data privacy and security best practices in a regulated environment</p></li><li><p>
Bonus: experience with banking/financial systems, compliance reporting, or financial modeling</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What you&rsquo;ll get from us:</b></h2><ul><li><p>
Comprehensive health, dental, and vision plans, including options that are 100% covered by Column for you and 100% covered for your dependents!</p></li><li><p>
Comprehensive family planning and fertility benefits via partnership with Carrot, including reimbursement of up to $20,000 in qualified expenses</p></li><li><p>
Up to $2,000 (post-tax) monthly rent subsidy for employees living within 2 miles of Column&rsquo;s office</p></li><li><p>
FSA and HSA account options to enable use of pre-tax money for medical and dependent care expenses</p></li><li><p>
401k plan, including self-directed brokerage options</p></li><li><p>
Flexible time-off policy - take the time off that you want and need to relax and recharge</p></li><li><p>
100% paid parental leave, including 16 weeks for birth mothers, 12 weeks for primary caregivers, and 8 weeks for secondary caregivers</p></li><li><p>
Up to $4,500 in annual reimbursements for backup childcare</p></li><li><p>
Catered lunches and dinners for SF employees</p></li><li><p>
Commuter benefits, including paid transportation to-and-from the office</p></li><li><p>
Regular team building events, including annual offsite</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Pay transparency:</b></h2><p>
Compensation packages at Column include base salary, equity, and benefits. New hire offers are made based on a candidate's experience, expertise, geographic location, and internal pay equity relative to peers.</p><p>
The annual US base salary range for this role is $150,000-$180,000 + equity.</p><p></p><h2 class="jobSectionHeader"><b>
We look forward to hearing from you</b></h2><p>
Column is committed to working with the best and brightest people from the broadest talent pool possible. We value bringing together a team with different perspectives, educational backgrounds, and life experiences, and believe a diversity of ideas is what allows us to develop the best solutions. All qualified individuals are encouraged to apply.</p><p><br>
If you need assistance or a reasonable accommodation during the application and recruiting process, please reach out to accommodations@column.com.</p><p></p><p>
We participate in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program here.</p></div>

Data Engineer

Tonic.ai

<div><p>Tonic.ai is looking for a hands-on Machine Learning Engineer to help build production-grade NLP systems that power our data privacy and information extraction products. You'll join a small, experienced team working at the intersection of LLMs, data privacy, and applied AI &mdash; developing and fine-tuning models that detect and redact sensitive information across diverse datasets.</p><p></p><h2 class="jobSectionHeader"><b>
What You&rsquo;ll Do</b></h2><ul><li><p><b>
Build and ship models.</b> Fine-tune and evaluate transformer-based models (e.g., RoBERTa, Gemma, LLaMA) to support PII redaction, entity extraction, and synthetic data generation.</p></li><li><p><b>
Own the ML lifecycle.</b> From dataset curation and experiment tracking to model deployment and monitoring &mdash; you&rsquo;ll own the full path from prototype to production.</p></li><li><p><b>
Collaborate cross-functionally.</b> Partner with Product and Design to shape how ML models drive user-facing features, and work with the broader engineering team to integrate them into scalable systems.</p></li><li><p><b>
Experiment responsibly.</b> Document your experiments, evaluate results rigorously, and help push the frontier of safe and explainable AI for data privacy.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What You&rsquo;ll Bring</b></h2><ul><li><p>
3+ years of professional experience in applied ML or data science with a focus on NLP</p></li><li><p>
Proficiency in <b>Python</b> and deep learning frameworks such as <b>PyTorch</b> and <b>Hugging Face Transformers</b></p></li><li><p>
Hands-on experience with <b>experiment tracking</b> (e.g., Weights &amp; Biases), <b>distributed training</b> (e.g., Accelerate), and <b>model serving</b> (e.g., vLLM)</p></li><li><p>
Comfort working independently and iterating quickly &mdash; you enjoy the mix of research, engineering, and product thinking</p></li><li><p>
Strong communication and collaboration skills</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Bonus Points For:</b></h2><ul><li><p>
Experience with supervised and reinforcement learning fine-tuning (e.g. TRL)</p></li><li><p>
Familiarity with data privacy, PII redaction, or healthcare data</p></li><li><p>
A public portfolio, blog, or open-source contributions that demonstrate your technical depth and curiosity</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Why You&rsquo;ll Love It Here</b></h2><ul><li><p>
High autonomy and meaningful ownership &mdash; your models will ship to production, not sit in a notebook</p></li><li><p>
Small, collaborative team with deep expertise in NLP and privacy</p></li><li><p>
Opportunity to work with real-world, high-impact data in domains like healthcare and financial services</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Benefits</b></h2><ul><li><p>
Competitive salary and company equity</p></li><li><p>
Unlimited PTO and generous parental leave</p></li><li><p>
Medical, dental, and vision insurance</p></li><li><p>
401(k) with employer contribution</p></li><li><p>
Remote-friendly work environment</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
About Tonic.ai</b></h2><p>
Tonic.ai creates safe, high-quality synthetic data that helps developers move fast while protecting sensitive information. Thousands of engineers rely on Tonic-generated data daily to power development, testing, and CI/CD pipelines across industries including healthcare, financial services, logistics, and education. We&rsquo;re growing fast and looking for builders who want to make privacy practical.</p></div>

Machine Learning Engineer (NLP)

Autodesk

<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div>Job Requisition ID #</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>
25WD92158<div></div><div>
Responsibilities: Produce financial and market intelligence by querying data repositories and generating periodic reports. Devise methods for identifying data patterns and trends in available information sources.</div><div></div><div>
Develop and maintain Dashboards, Apps and reports by translating functional requirements into easy-to-use, flexible report and dashboard outputs. Act as point of contact for a set of worldwide finance business partners requesting new reports, enhancements to existing reports, and advice on best practices in report development. Balance business requirements with technical feasibility and set expectations. Determine the size of the request and communicate it to the manager to discuss request and determine priority. Develop and maintain reports and dashboards by translating functional requirements into easy-to-use, flexible report and dashboard outputs with an appealing user experience. Conduct user research and evaluate user feedback, establish and promote design guidelines, standards, and best practices. Maintain up to date knowledge of latest tools, principles, and practices. Present information and stories through reports and visualization. Develop standard reports and functional dashboards based on business requirements. Effectively communicate and think strategically, write concisely, and speak easily to groups including peers and superiors. Must be available to work on projects at various, unanticipated sites throughout the United States. Telecommuting is permitted.</div><div></div><div>
Minimum Requirements: Master&rsquo;s degree in Business Analytics, Data Science, or related field and four (4) years of experience in the job offered or in a business intelligence/data science-related occupation. Must be available to work on projects at various, unanticipated sites throughout the United States. Telecommuting is permitted.</div><div></div><div>
Special Requirements: Position requires at least four (4) years of experience in each of the following skills:</div><div></div><ul><li><div>
Utilize knowledge of Business Intelligence tools such as Tableau, Power BI, Qlik or Others to develop interactive reports, dashboard and apps that derive actionable business insights</div></li><li><div>
Utilize knowledge of Structured Query Language (SQL), or programming languages such as Python to transform and manipulate data for reporting</div></li><li><div>
Utilize knowledge of database management systems such as Snowflake/Redshift/Microsoft SQL Server to extract, transform and analyze large scale data for reporting</div></li><li><div>
Utilize knowledge of data modeling to design optimized and efficient data models that support reporting needs</div></li><li><div>
Utilize knowledge of Business Intelligence tools such as Tableau, Power BI, Qlik or Others, applying data visualization best practices to enhance user interaction and improve overall user experience in business reporting</div></li><li><div>
Strong analytical and visual story telling skills while making use of tools such as Power BI,Tableau, Qlik or Others</div></li></ul><div><br>
<br>
Learn More</div><div></div><div><br>
About Autodesk</div><div>
Welcome to Autodesk! Amazing things are created every day with our software &ndash; from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.</div><div></div><div><br>
We take great pride in our culture here at Autodesk &ndash; our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.</div><div></div><div><br>
When you&rsquo;re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!</div><div></div><div><br>
Benefits</div><div>
From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting <div>https://benefits.autodesk.com/</div></div><div></div><div><br>
Salary transparency</div><div>
Salary is one part of Autodesk&rsquo;s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $136,677 - $145,000 / per year. Offers are based on the candidate&rsquo;s experience and geographic location. In addition to base salaries, we also have a significant emphasis on annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.</div><div></div><div><br>
Equal Employment Opportunity</div><div>
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.</div><div></div><div><br>
Diversity &amp; Belonging</div><div>
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: <div>https://www.autodesk.com/company/diversity-and-belonging</div></div><div></div><div><br>
Are you an existing contractor or consultant with Autodesk?</div><div>
Please search for open jobs and apply internally (not on this external site).</div><div></div><div><br>
RV059</div><div>
#LI-DNI</div><div></div><div>
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.</div><div></div><div>
Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact <div>Autodesk Careers</div>.</div></div>

Senior Business Intelligence Analyst, Finance

PagerDuty

<div><div><p>PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses.</p>
<p>
Join us. At PagerDuty, you'll tackle complex problems, collaborate with kind and ambitious people, and help build a more equitable world&mdash;all in a flexible, award-winning workplace.</p></div><p>
PagerDuty is seeking a <b>Director, Data Science (IT)</b> to build and lead a world-class data science function in the IT Organization. In this role, you will shape the team's vision, foster an inclusive and high-performing culture, and drive impactful data science and advanced analytics initiatives across the organization. You will work closely with cross-functional partners to address complex challenges and embed data science into our core data analytics, services, and operations.</p>
<p>
You'll partner cross-functionally with Business teams across Sales, Marketing, Customer Success, Product, and Finance leaders to ensure we're aligned and scalability is built in adopting data science models &amp; operations. This role is both business-facing and deeply technical. Your primary responsibility is to understand business use cases and proactively propose innovative ways of working using generative AI. As a technologist, you'll lead a team to implement solutions that transform data analytics. You may have prior experience working in business teams, and you will play a key role in building and scaling a team that brings data and GenAI-powered insights to life across the company.</p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Define and lead the data science vision, strategy, and roadmap in alignment with business goals and measurable outcomes.</li>
<li>Act as a strategic advisor and thought leader, identification, rollout &amp; championing the adoption of AI/ML across the organization.</li>
<li>Build, mentor, and lead a high-performing, collaborative team of IT data scientists, IT Data Product Managers, and IT data engineers.</li>
<li>Partner closely with Sales, Product, Marketing, Customer Success, Engineering, and other teams to drive impactful data science initiatives.</li>
<li>Develop new ideas, brainstorm with Business partners on how the latest innovations in AI can improve business performance.</li>
<li>Serve as a bridge between technical teams and business units, ensuring alignment on priorities, deliverables, and strategic value.</li>
<li>Deliver clear, compelling insights to both technical and non-technical audiences through storytelling and data visualization.</li>
<li>Present findings and strategic recommendations to senior and executive stakeholders to influence high-level decisions.</li>
<li>Oversee the full lifecycle of machine learning models, including development, validation, deployment, monitoring, and continuous improvement.</li>
<li>Collaborate with Data Engineering to design scalable, well-defined data assets, features, and metrics that support evolving analytical and product needs.</li>
<li>Establish and promote best practices in experimentation, modeling, data governance, and model reproducibility.</li>
<li>Ensure robust documentation, version control, and transparency across all projects to support sustainability and auditability.</li>
</ul>
<p><b>Basic Qualifications</b>:</p>
<ul>
<li>10+ years of experience in Business Data analytics, Data Science roles in B2B SaaS.</li>
<li>Proven track record of building and leading high-impact data science teams.</li>
<li>Proven experience deploying machine learning models at scale in production environments.</li>
<li>Familiarity with modern data stacks: cloud data warehouses. (Snowflake/Databricks/AWS), BI Tools, orchestration tools, and MLOps platforms.</li>
<li>Exceptional communication and storytelling skills. You can simplify complexity and influence at all levels.</li>
</ul>
<p><b>Preferred Qualifications:</b></p>
<ul>
<li>Bachelor's in a quantitative field such as Computer Science, Statistics, Mathematics, or similar, with an advanced degree (Master's degree or higher) preferred.</li>
</ul>
<p>PagerDuty is a flexible, hybrid workplace. We embrace and encourage in-person working as an integral part of our culture. Both our employees and external research tells us that co-located collaboration strengthens connections, drives innovation, and accelerates learning.</p>
<p>
This role is expected to come into our <b>San Francisco office 2 days per week</b>, so you can thrive in your new role and fully embrace being a Dutonian!</p>
<p>
The base salary range for this position is 212,000 - 356,000 USD. This role may also be eligible for bonus, commission, equity, and/or benefits.</p>
<p>
Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience.</p>
<p>
Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process.</p><div><p><b>
Hesitant to apply?</b></p>
<p>
We encourage you to submit your resume even if you don't meet every requirement. We value potential and consider each candidate's full professional story. Whether you're exploring a career change or taking your next step, we look forward to reviewing your application. If this just isn't the right role or time - sign up for job alerts!</p>
<p><b>
Where we work</b></p>
<p>
PagerDuty operates a hybrid work model with offices in 8 major cities: Atlanta, Lisbon, London, San Francisco, Santiago, Sydney, Tokyo, and Toronto. While we offer flexibility within our established locations, we <b>cannot</b> employ candidates residing in:</p>
<p><b>
Location restrictions:
</b><br>
<b>Australia:</b> Northern Territory, Queensland, South Australia, Tasmania, Western Australia<br>
<b>Canada:</b> Alberta, Manitoba, Newfoundland, Northwest Territories, Nunavut, PEI, Quebec, Saskatchewan, Yukon<br>
<b>United States:</b> Alaska, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Oklahoma, Rhode Island, South Dakota, West Virginia, Wyoming<br>
<i>Candidates must reside in an eligible location, which vary by role.</i></p>
<p><b>
How we work</b></p>
<p>
Our values guide how we support customers, collaborate with colleagues, develop products, and foster a culture of belonging. They define not just our actions, but what it means to be Dutonian.</p>
<p>
People Leaders at PagerDuty are responsible for creating high performance environments that drive accountability. PagerDuty has four key dimensions that define our Leadership Impact: Lead Self, Lead the Team, Lead the Business, and Lead the Future. Each dimension has three associated competencies to give leaders a shared language for guiding their development, career, promotion, and succession planning discussions. Our Manager Expectations serve as a practical guide for managers to understand their responsibilities, prioritize their efforts, and drive engagement and performance.</p>
<p><b>
What we offer</b></p>
<p>
As a global organization, our total rewards approach is competitive with industry standards and aligned with local laws and regulations. Learn more, including country-specific offerings, on our benefits site.</p>
<p><b>
Your package may include:</b></p>
<ul>
<li>Competitive salary</li>
<li>Comprehensive benefits package</li>
<li>Flexible work arrangements</li>
<li>Company equity*</li>
<li>ESPP (Employee Stock Purchase Program)*</li>
<li>Retirement or pension plan*</li>
<li>Generous paid vacation time</li>
<li>Paid holidays and sick leave</li>
<li>Dutonian Wellness Days &amp; HibernationDuty - companywide paid days off in addition to PTO</li>
<li>Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws)*</li>
<li>Paid volunteer time off: 20 hours per year</li>
<li>Company-wide hack weeks</li>
<li>Mental wellness programs</li>
</ul>
<ul><li>Eligibility may vary by role, region, and tenure</li></ul>
<p><b>
About PagerDuty</b></p>
<p>
PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. The PagerDuty Operations Cloud is an AI-powered platform that empowers business resilience and drives operational efficiency for enterprises. With a generative AI assistant at its core, PagerDuty empowers teams to detect and resolve issues in real time, orchestrate complex workflows, and drive continuous improvement across their digital operations. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses</p>
<p>
PagerDuty is Great Place to Work-certified&trade;, a Fortune Best Workplace for Millennials, a Fortune Best Medium Workplace, a Fortune Best Workplace in Technology, and a top rated product on TrustRadius and G2.</p>
<p>
Go behind-the-scenes on our careers site and @pagerduty on Instagram.</p>
<p><b>
Additional Information</b></p>
<p>
PagerDuty is an equal opportunity employer. PagerDuty does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status. Your privacy is important to us. By submitting an application, you confirm that you have read and understand PagerDuty's Privacy Policy.</p>
<p>
PagerDuty is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. Should you require accommodation, please email accommodation@pagerduty.com and we will work with you to meet your accessibility needs.</p>
<p>
PagerDuty uses the E-Verify employment verification program.</p></div></div>

Director, Data Science (IT)

Chalk

<div>
 <p>
  <strong>
   <u>
    About Chalk
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Chalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities. Our platform combines Rust-speed performance with elegant tools that developers love to use. Leading companies depend on Chalk for everything from stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture. We've recently raised a
  <u>
   $50 million Series A
  </u>
  , led by Felicis.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    About the role
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are hiring Software Engineers to join our team. This is an opportunity to join us in-person as an early employee and make a large impact at a high growth start-up. You will tackle challenging engineering problems with a high degree of autonomy and ownership.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   We work in-person Monday through Friday in our SF and NY offices. We don&rsquo;t currently offer remote or hybrid positions.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for software engineers who are comfortable solving business problems across all layers of the software stack. At Chalk, we build reliable data processing systems that can operate performantly at scale with a laser-focus on developer experience.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We need engineers who can build world-class user experiences across CLI and web surfaces, while also understanding and contributing to a codebase that contains ideas from compilers, query planners, and distributed systems.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    What you will do
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Work directly with Chalk&rsquo;s co-founders to productionize our first iteration
  </li>
  <li>
   Write TypeScript, Python, Go, and React
  </li>
  <li>
   Expose the functionality of our core platform to data scientist and machine learning end-users in their home environments
  </li>
  <li>
   Iterate rapidly to improve Chalk&rsquo;s platform in response to customer needs
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    What we&rsquo;re looking for
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   2+ years experience of professional software engineering experience
  </li>
  <li>
   Working knowledge of computer science fundamentals. We&rsquo;re not looking for experience from drilling leet code &ndash; we need folks who are comfortable building and maintaining real systems
  </li>
  <li>
   A record of developing sophisticated user-facing applications that are pleasant to use
  </li>
  <li>
   An eye for high-quality UX
  </li>
  <li>
   Track record of learning new concepts quickly
  </li>
  <li>
   Ability to work autonomously &amp; to make pragmatic tradeoffs with an eye towards business outcomes
  </li>
  <li>
   Strong communication skills
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Bonus points
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Experience implementing data infrastructure
  </li>
  <li>
   Experience working with developer tools
  </li>
  <li>
   Experience with applied machine learning or data analytics
  </li>
  <li>
   Experience with Go
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Benefits
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  ⚕️Comprehensive medical, dental, and vision insurance
 </p>
 <p>
  🏦 Flexible Spending Account (FSA), Health Savings Account (HSA)
 </p>
 <p>
  🦮 Expert Healthcare Guidance
 </p>
 <p>
  💵 Retirement savings
 </p>
 <p>
  🎄15 company holidays each year
 </p>
 <p>
  🏖️15 days of personal time off each year
 </p>
 <p>
  🚌 Flex Commuter Benefits
 </p>
 <p>
  🌮 Daily lunch and dinner on Chalk
 </p>
 <p>
  🥤Office is fully-stocked with drinks and snacks to fuel your work day.
 </p>
 <p>
  🍽️ Staying late? Dinner is on us
 </p>
 <p>
  🚖 Staying even later? Grab an Uber / Lyft home on Chalk
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Compensation
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Chalk offers early team members a generous salary + equity package based on experience and competitive benefits.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Actual compensation awarded to successful candidates will be based on several factors, including market, location, scope of the position and individual qualifications objectively assessed during the interview process.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our comprehensive total package plays a major role in how we recognize individuals for the impact they will have on Chalk&rsquo;s growth and us achieving our goals.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Inclusivity
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Chalk is an equal opportunity employer. We value diversity and inclusion and provide reasonable accommodations to anyone in need of individualized support.
 </p>
</div>


Full Stack Software Engineer

Explore 141+ Data scientist in San Francisco this October. Find roles across top companies and apply now to boost your career.