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ai research scientist datadog ai research dair

Datadog

<div>
 As a Research Scientist on our team, you will partner with Research Engineers, working on fundamental research problems and collaborating with Datadog's product and engineering teams to translate research advances into products.
 
 
 Building on our track record of AI-powered solutions (e.g., Bits AI, Bits Evolve, and our time series foundation model), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security.
 
 
 We are focused on two research areas:
 
 
 <ul>
 <li>
 World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents.
 </li>
 <li>
 Trained Agents for Observability -- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost.
 
 
 </li>
 </ul>
 
 What You'll Do:
 
 
 
 <ul>
 <li>
 Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability
 </li>
 <li>
 Train multimodal models on large-scale, diverse telemetry data (metrics, logs, traces, topology, events) using distributed training infrastructure
 </li>
 <li>
 Design and build simulated environments and RL training loops for on-policy agent training and evaluation
 </li>
 <li>
 Collaborate with cross-functional teams (Product, Engineering) to integrate capabilities like multimodal world modeling and autonomous agents into Datadog's products
 </li>
 <li>
 Stay at the forefront of foundation models, world models, and RL-based agent research
 </li>
 <li>
 Contribute to research publications, present at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and help open-source key model artifacts and benchmarks
 
 
 </li>
 </ul>
 
 Who You Are:
 
 
 
 <ul>
 <li>
 You hold a PhD in Computer Science, Machine Learning, or a related field, with deep expertise in areas like generative modeling, world models, AI agents, reinforcement learning, or multimodal learning (or have equivalent experience)
 </li>
 <li>
 You have extensive experience designing and implementing deep learning models and agents, with a strong background in distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and ML libraries (PyTorch)
 </li>
 <li>
 You have a track record of impactful publications at top-tier venues (e.g., NeurIPS, ICLR, ICML, TMLR)
 </li>
 <li>
 You are familiar with efficient training, post-training, and inference techniques for large foundation models
 </li>
 <li>
 You can explain complex models and research findings to both technical and non-technical audiences
 
 
 </li>
 </ul>
 
 Bonus Points (any of the following):
 
 
 
 <ul>
 <li>
 Experience bridging research and real-world product applications, especially with large foundation models, world models, or RL-trained agents
 </li>
 <li>
 Passion for pushing the boundaries of AI with a focus on customer impact and scalable deployment
 </li>
 <li>
 Experience writing production data pipelines and applications
 </li>
 <li>
 Hands-on experience with GPU programming and optimization, including CUDA
 
 
 </li>
 </ul>
 
 Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you&rsquo;re passionate about technology and want to grow your skills, we encourage you to apply.
 
 
 
 
 Benefits and Growth:
 
 
 
 <ul>
 <li>
 Competitive global benefits
 </li>
 <li>
 New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
 </li>
 <li>
 Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris
 </li>
 <li>
 Opportunity to attend and present at conferences and meetups
 </li>
 <li>
 Intra-departmental mentor and buddy program for in-house networking
 </li>
 <li>
 An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
 
 
 </li>
 </ul>
 
 Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
 
 
 
 
 About Datadog:
 
 
 
 Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers&rsquo; entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
 
 
 
 Equal Opportunity at Datadog:
 
 
 
 Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
 
 
 
 Your Privacy:
 
 
 
 Any information you submit to Datadog as part of your application will be processed in accordance with Datadog&rsquo;s Applicant and Candidate Privacy Notice.
 
 
 Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
 
 
 The reasonably estimated yearly salary for this role at Datadog is:
 
 
 $140,000&mdash;$400,000 USD
 
 
 
 About Datadog:
 
 
 
 Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers&rsquo; entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
 
 
 
 Equal Opportunity at Datadog:
 
 
 
 Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
 
 
 Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
 
 
 
 Privacy and AI Guidelines:
 
 
 
 Any information you submit to Datadog as part of your application will be processed in accordance with Datadog&rsquo;s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
</div>

AI Research Scientist – Datadog AI Research (DAIR)

<div>As a Senior Product Manager on the Code Security team, you will define and own the roadmap for Code Security's core application vulnerability management products (application security testing and software composition analysis). This is a strategic and technical role focused on identifying gaps in customers' vulnerability management workflows and translating those insights into high-impact product capabilities. You'll work cross-functionally with engineering, security research, design, and go-to-market teams to launch innovative solutions that help customers stay ahead of evolving threats. This role offers a unique opportunity to grow your expertise in both application security and AI, while shaping one of Datadog's fastest-growing product areas.

At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. 

What You'll Do:
<ul>
<li>Own the product roadmap for Datadog's core Code Security products for application code and library vulnerability scanning</li>
<li>Conduct deep customer discovery with security and engineering teams to uncover critical gaps in vulnerability management, supply chain protection, and AI-assisted coding workflows</li>
<li>Collaborate cross-functionally with engineering, design, security research, and go-to-market teams to drive alignment and execute on roadmap priorities</li>
<li>Launch new capabilities from 0 to 1, helping to establish and grow the Code Security portfolio's presence in the market</li>
<li>Translate complex technical challenges into clear product strategies that address customer needs and market opportunities</li>
</ul>
Who You Are:
<ul>
<li>Extensive experience as a Product Manager owning the roadmap and execution for technical products, ideally in developer tools, security, or infrastructure</li>
<li>You enjoy engaging directly with customers, leading discovery calls, participating in sales conversations, and building relationships to understand user needs</li>
<li>You have a solid technical understanding of the software development lifecycle (SDLC), including how security integrates into modern developer workflows</li>
<li>You are familiar with AI coding tools or agentic development workflows and are comfortable working at the intersection of AI and security</li>
<li>You thrive in cross-functional environments and enjoy turning ambiguous problems into tangible product outcomes</li>
<li>You have experience taking new features or products from 0 to 1, making thoughtful tradeoffs about what to build (and what not to build) in fast paced environments</li>
<li>You communicate clearly and persuasively with both internal and external stakeholders</li>
</ul>
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:
<ul>
<li>New hire stock equity (RSUs) and employee stock purchase plan (ESPP)</li>
<li>Continuous professional development, product training, and career pathing</li>
<li>Intradepartmental mentor and buddy program for in-house networking</li>
<li>An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)</li>
<li>Access to Inclusion Talks, our Internal panel discussions</li>
<li>Free, global mental health benefits for employees and dependents age 6+</li>
<li>Competitive global benefits</li>
</ul>
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid<div>

About Datadog:

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers' entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.</div></div>

Senior Product Manager - Code Security

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. 
 
We are seeking an experienced Data Scientist to join the Sponsored Products Auction team. This team is responsible for building and evaluating mechanisms to rank and price billions of ad impressions per day. We're looking for a Data Scientist to define measures of auction efficiency and produce insights into the quality of inputs to our auction (supply, demand, ML model predictions). This role will also be responsible for exploratory data analysis to identify opportunities for improvement of the system and working closely with Economists, Applied Scientists and Engineers to improve our product. 
 
As a Data Scientist on this team, you will: 
<ul><li>Solve real-world problems by getting and analyzing large amounts of data, diving deep to identify business insights and opportunities, design simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Scientists, Engineers, BIE's, and Product Managers.</li><li>Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data
</li><li>Apply statistical and machine learning knowledge to specific business problems and data.</li><li>Build decision-making models and propose solution for the business problem you define.</li><li>Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.</li><li>Analyze historical data to identify trends and support optimal decision making.</li><li>Formalize assumptions about how our systems are expected to work, create statistical definition of the outlier, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.</li><li>Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.</li><li>Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.</li></ul> 
Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon&rsquo;s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate. 
 
Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. 
 
Team video https://youtu.be/zD_6Lzw8raE</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>2+ years of data scientist experience</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>Bachelor's degree</li><li>Experience applying theoretical models in an applied environment</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in Python, Perl, or another scripting language</li><li>Experience in a ML or data scientist role with a large technology company</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 153,400.00 - 207,500.00 USD annually 
USA, WA, SEATTLE - 136,000.00 - 184,000.00 USD annually</div>

Data Scientist

Oscar Health

<div>
 Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team.
 
 
 Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves - one that behaves like a doctor in the family.
 
 
 
 About The Role
 
 
 
 Oscar's data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product.
 
 
 As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you&rsquo;ll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions.
 
 
 This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight.
 
 
 You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process.
 
 
 
 Work Location:
 
 This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule.
 
 
 
 Pay Transparency:
 
 The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions
 </li>
 <li>
 Own projects end-to-end, including problem definition, implementation, validation, and iteration
 </li>
 <li>
 Deliver high-quality analytical and modeling outputs with limited manager oversight
 </li>
 <li>
 Collaborate closely with data science peers and cross-functional partners across business units
 </li>
 <li>
 Help ensure data science processes and outputs align with broader team strategies and roadmaps
 </li>
 <li>
 Provide guidance or informal mentorship to junior data scientists or analysts when needed
 </li>
 <li>
 Contribute to improving data science practices, tooling, and documentation
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both)
 </li>
 <li>
 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data
 </li>
 <li>
 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in a quantitative or technical field
 </li>
 <li>
 Knowledge of or previous work experience in health care or health insurance
 </li>
 <li>
 Experience mentoring or supporting junior team members
 </li>
 <li>
 Experience deploying or supporting models in production environments
 
 
 </li>
 </ul>
 This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.
 
 
 At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.
 
 
 
 Pay Transparency:
 
 Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.
 
 
 
 Artificial Intelligence (AI):
 
 Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.
 
 
 
 Reasonable Accommodation:
 
 Oscar applicants are considered solely based on their qualifications, without regard to applicant&rsquo;s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.
 
 
 
 California Residents:
 
 For information about our collection, use, and disclosure of applicants&rsquo; personal information as well as applicants&rsquo; rights over their personal information, please see our Privacy Policy.
 
 
</div>

Data Scientist II

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.</li>
<li>8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.</li>
<li>Familiarity with modern Machine Learning and Large Language Model (LLM) techniques.</li>
<li>Ability to commit to knowledge and learning, respect for science, tolerance for ambiguity, and interest in practical application of science to business.</li>
<li>Excellent collaboration skills, with the ability to collaborate cross-functionally and work effectively with Data Scientist (DS), User Experience Researcher (UXR), product and engineering partners.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
In this role, you will partner cross-functionally to drive Google's mission of organizing the world&rsquo;s information and making it universally accessible and useful. As technology continues to evolve, your commitment remains to help users in their journey to connect to helpful information more easily, leveraging technology to find new ways to satisfy users' information needs. 
 
In this role, you will provide users with relevant and meaningful information based on their interests and understanding of the world&rsquo;s information. Your mission is to make it effortless for people to catch up on their interests by bringing together informative, entertaining content from the voices they care about. 
 
As a part of the Discover Data Science team, you will partner with cross-functional to drive that mission with a data-informed strategy, identifying opportunities and accelerating execution. As a part of the Discover Personalization and Quality team, you will partner with engineering and product, develop deep understanding of how to build a personalized retrieval and ranking system that delivers high-quality, compelling and valuable content. You will leverage a wide range of analysis tools (including metrics and AI raters, statistical modeling, cohort and exploratory analyses), and incorporate AI-driven understanding to define the job of a data scientist for the new era.The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.<div><div> 
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div></div></div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Lead core understanding of retrieval and ranking ML systems and collaborate with engineers to deliver significant improvements that accelerate product growth.</li>
<li>Analyze systems to identify opportunities while maintaining end-to-end ownership of research agenda, execution, and insight delivery to leadership.</li>
<li>Build expertise in retrieval and ranking systems, advocating for changes, where needed, and driving cross-functional alignment.</li>
<li>Contribute as an individual contributor, as well as a Technical Lead for a small group of data scientists.</li>
<li>Manage ambiguous data science problems, and leveraging new technology to produce quantum leaps forward in understanding, such as via LLM-driven tooling.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Staff Data Scientist, Discover Personalization and Quality

S&P Global

Kensho is S&P Global’s hub for AI innovation and transformation. With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide. Kensho's solutions and research focus on business and financial generative AI applications, agents, data retrieval APIs, data extraction, and much more.
 
At Kensho, we hire talented people and give them the autonomy and support needed to build amazing technology and products. We collaborate using our teammates' diverse perspectives to solve hard problems. Our communication with one another is open, honest, and efficient. We dedicate time and resources to explore new ideas, but always rooted in engineering best practices. As a result, we can innovate rapidly to produce technology that is scalable, robust, and useful.
 
Role Overview
 We are seeking experienced Equity Research professionals to work as domain experts on a contract basis, helping us design, test, and improve generative AI tools for financial analysis .
 In this role, you will contribute your real-world expertise in equity research to shape AI systems that can reason about companies, industries, financial statements, and valuation frameworks at a professional level. This is not a traditional coverage or client-facing role; instead, you will act as a subject-matter expert whose work informs how AI systems learn to perform equity research tasks.This will be a flexible, largely remote arrangement.
 
Key Responsibilities
 
Produce high-quality equity research outputs used to train and evaluate AI systems, including:
 
Company and sector analyses
 
Earnings forecasts and scenario analysis
 
Valuation models (DCF, trading comps, precedent transactions)
 
Investment theses with clearly articulated risks and catalysts
 
Build and review financial models that reflect industry best practices and sound analytical judgment
 
Break down your analytical process into clear, structured reasoning that can be understood and learned by AI systems
 
Answer questions about your process and analytical thinking as your produce research outputs
 
Evaluate AI-generated research outputs for: 
Financial accuracy
 
Logical consistency
 
Professional tone and structure
 
Data Completeness
 
Provide feedback that helps improve model performance, robustness, and realism
 
Collaborate asynchronously with research, product, and engineering teams to refine workflows and expectations
 
Ideal Candidate Profile
 
3-7 years of experience in equity research , asset management, hedge funds, or related investment roles
 
Strong command of: 
Financial statement analysis
 
Forecasting and valuation methodologies
 
Industry and company-level research frameworks
 
Ability to clearly articulate investment logic , assumptions, and trade-offs
 
High standards for analytical rigor, accuracy, and presentation
 
Comfortable working independently in a remote, project-based environment
 
Interest in the intersection of finance and AI and how expert judgment can be translated into intelligent systems
 
Nice to Have
 
Experience writing published equity research or internal investment memos
 
Exposure to multiple sectors or global markets
 
Familiarity with how investors consume and act on research
 
Curiosity about model behavior, edge cases, and failure modes in analytical reasoning
 
Experience working with generative AI, and have perspective on what is and is not useful
 
At Kensho, we pride ourselves on providing top-of-market benefits, including:
 
 Medical, Dental, and Vision insurance
 
100% company paid premiums
 
Unlimited Paid Time Off
 
26 weeks of 100% paid Parental Leave (paternity and maternity)
 
401(k) plan with 6% employer matching
 
Generous company matching on donations to non-profit charities
 
Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences
 
Plentiful snacks, drinks, and regularly catered lunches
 
Dog-friendly office (CAM office)
 
Bike sharing program memberships
 
Compassion leave and elder care leave
 
Mentoring and additional learning opportunities
 
Opportunity to expand professional network and participate in conferences and events
 
Recruitment Fraud Alert: 
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here .
 
We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with an additional office location in New York City. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
 
Job ID: 327773
 Posted On: 2026-04-08
 Location: New York, New York, United States

Contract Equity Researcher (Generative AI – Finance)

Deloitte

<div>
 
 Data Scientist -Project Delivery Senior Analyst - AI &amp; Engineering
 
 
 
 Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced
 
 Data Scientist,
 
 you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client's need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.
 
 
 
 Work You'll Do/Responsibilities
 
 
 
 The Data Scientist will analyze, cleanse, and model complex data to help organizations make better decisions and predict future trends.
 
 
 <ul>
 <li>
 Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
 
 
 </li>
 </ul>
 
 The Team
 
 
 
 AI &amp; Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology &amp; data platforms. Our delivery models are tailored to meet each client's unique requirements.
 
 
 Our AI &amp; Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.
 
 
 
 Required
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 4+ years of experience Proficiency with Python, statistical modeling, and machine learning frameworks (e.g. scikit-learn, PyTorch, TensorFlow).
 </li>
 <li>
 4+ years of experience with feature engineering, model development, validation, and deployment.
 </li>
 <li>
 4+ years of experience Understanding of MLOps pipelines, model versioning, monitoring, and retraining processes.
 </li>
 <li>
 4+ years of experience Ability to translate complex business problems into analytical solutions with measurable outcomes.
 </li>
 <li>
 4+ years of experience Strong knowledge of data wrangling, exploratory analysis, and visualization.
 </li>
 <li>
 4+ years of experience Familiarity with cloud ML services (e.g. SageMaker, Azure ML, Fabric ML).
 </li>
 <li>
 4+ years of experience communicating and explaining insights and model behavior to non-technical stakeholders
 </li>
 <li>
 Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
 </li>
 <li>
 Limited immigration sponsorship may be available
 </li>
 <li>
 Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Analytical/ Decision Making Responsibilities
 </li>
 <li>
 Analytical ability to manage multiple projects and prioritize tasks into manageable work products
 </li>
 <li>
 Can operate independently or with minimum supervision
 </li>
 <li>
 Excellent Written and Communication Skills
 </li>
 <li>
 Ability to deliver technical demonstrations
 
 
 </li>
 </ul>
 The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $72,900-$134,000
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