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advanced quality engineer Jobs in New York

advanced quality engineer

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applied ai engineer

Didero

<div>
 At Didero, we&rsquo;re building the autonomous supply chain, starting with agentic supplier management.
 <br/>
 <br/>
 Global trade has never been more complex or more critical. Teams are underwater, reacting to a flood of challenges &mdash; from geopolitical risk to tariffs. Didero helps by automating time-intensive workflows with AI agents, deploying cutting-edge technology into one of the world&rsquo;s most vital domains.
 <br/>
 <br/>
 We&rsquo;re backed by some of the world&rsquo;s best venture funds and leading figures across AI, supply chain, and enterprise software.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We're hiring an AI Applied Engineer to sit at the intersection of machine learning, agentic systems, and production software. You'll own the design and development of AI-powered workflows that automate high-stakes supply chain operations &mdash; building systems that actually think, act, and learn
 <br/>
 <br/>
 <strong>
  <strong>
   What You&rsquo;ll Do
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Design and ship production AI agents that automate supplier management workflows
  </li>
  <li>
   Own the full AI stack: model selection, prompt engineering, tool use, RAG pipelines, evals, and reliability.
  </li>
  <li>
   Architect agentic systems that integrate with communication platforms, ERPs, and third-party APIs.
  </li>
  <li>
   Drive quality through rapid iteration, build fast without shipping fragile systems.
  </li>
  <li>
   Collaborate with product and domain experts to translate messy real-world workflows into clean, scalable AI solutions.
  </li>
  <li>
   Shape how we approach applied AI at the company level, your opinions on architecture and methodology will matter.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   You&rsquo;ll be successful in this role if you&hellip;
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Have hands-on experience building and deploying LLM-based applications or AI agents in production.
  </li>
  <li>
   Think in systems; you understand how prompts, retrieval, memory, and tool calls interact at scale.
  </li>
  <li>
   Care about outcomes, not just outputs, you build evals and measure what matters.
  </li>
  <li>
   Are comfortable in ambiguous, fast-moving environments with short feedback loops.
  </li>
  <li>
   Write clean, maintainable code across the backend and can collaborate on frontend integrations.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Qualifications
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   8+ years as an autonomous, resourceful engineer building and scaling real-world applications.
  </li>
  <li>
   Proven experience with LLMs, agentic frameworks (Pydantic, LangChain, LlamaIndex, custom), and AI workflow tooling.
  </li>
  <li>
   Strong Python (Django or FastAPI) and familiarity with TypeScript / React for integration work.
  </li>
  <li>
   Deep understanding of modern AI primitives: function calling, RAG, embeddings, structured outputs, evals.
  </li>
  <li>
   Strong communication skills, able to bridge technical and non-technical stakeholders effectively.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Points For:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Startup experience; founding engineer or early team member at a high-growth company.
  </li>
  <li>
   Experience with B2B SaaS workflow automation and complex enterprise integrations.
  </li>
  <li>
   Background in supply chain, procurement, or logistics tech.
  </li>
  <li>
   Designing highly scalable and distributed AI systems.
  </li>
  <li>
   Experience with a strongly typed language like C++, Java, Rust, Go
  </li>
  <li>
   Has a strong understanding of system design, object oriented programming and good programming fundamentals.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Tech Stack
   <br/>
   <br/>
  </strong>
 </strong>
 Django
 <br/>
 <br/>
 <ul>
  <li>
   Python
  </li>
  <li>
   React
  </li>
  <li>
   TypeScript
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   What We Value
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   We make the world feel smaller - We support each other and break down boundaries, both internally and for our customers
  </li>
  <li>
   We build supply chain magic - We push the boundaries of what technology can do and go above and beyond for our users
  </li>
  <li>
   We are lifelong learners - We move fast, embrace failure, and give feedback generously
  </li>
  <li>
   We show up - We&rsquo;re scrappy entrepreneurs, no job is beneath us
  </li>
  <li>
   We BELIEVE! - We&rsquo;re building a great, enduring company and we have fun doing it.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   What we offer:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Competitive compensation and equity
  </li>
  <li>
   Medical, dental, and vision insurance
  </li>
  <li>
   Unlimited PTO &mdash; we trust you to take the time you need
  </li>
  <li>
   Monthly wellness stipend via ClassPass
  </li>
  <li>
   Tech equipment for your setup
  </li>
  <li>
   Catered lunches (for those in the office)
   <br/>
   <br/>
  </li>
 </ul>
 Compensation Range: $200K - $300K
 <br/>
 <br/>
</div>


Applied AI Engineer

International Rescue Committee

<div><p>The International Rescue Committee (IRC) responds to the world's worst humanitarian crises, helping to restore health, safety, education, economic wellbeing, and power to people devastated by conflict and disaster. Founded in 1933 at the call of Albert Einstein, the IRC is one of the world's largest international humanitarian non-governmental organizations (INGO), at work in more than 40 countries and 29 U.S. cities helping people to survive, reclaim control of their future and strengthen their communities. A force for humanity, IRC employees deliver lasting impact by restoring safety, dignity and hope to millions. If you're a solutions-driven, passionate change-maker, come join us in positively impacting the lives of millions of people world-wide for a better future.</p><p></p><p>
The International Rescue Committee (IRC) responds to the world's worst humanitarian crises, helping to restore health, safety, education, economic wellbeing, and power to people devastated by conflict and disaster. Founded in 1933 at the call of Albert Einstein, the IRC is one of the world's largest international humanitarian non-governmental organizations (INGO), at work in more than 40 countries and 29 U.S. cities helping people to survive, reclaim control of their future and strengthen their communities. If you're a solutions-driven, passionate change-maker, come join us in positively impacting the lives of millions of people worldwide for a better future.</p><p><b><br>
Job Overview</b></p><p>
The Applied AI Engineer (AAE) ensures AI systems work in the real-world contexts they are designed to serve. This works on designing (e.g., building flows and structured agents), deploying, adapting, testing, and validating AI systems in program environments to ensure they are accurate, usable, and effective in practice.</p><p><br>
The AAE works directly with country teams, partners, and communities to configure AI systems for local contexts, including language, cultural nuance, and operational constraints. They are responsible for what goes into the system, how it behaves, and whether it delivers meaningful outcomes for end users, making key implementation decisions on system configuration, behavior and deployment approaches based on field conditions and user needs.</p><p>
Owning deployments across the full lifecycle, from initial configuration through iteration, evaluation and scale, the AAE translates real-world complexity and field insights into concrete system improvements, product decisions and deployment strategies.</p><p>
Acting as the bridge between technical development and field implementation, the AAE surfaces failure modes early, strengthens system performance and informs the evolution of tools, workflows and infrastructure required for scalable deployment. The role also identifies patterns across implementations and translates them into reusable frameworks and best practices to improve speed, quality, and consistency across programs.<br>
</p><br>
<p>By enabling high-quality deployments at speed, this role ensures that IRC&rsquo;s investments in AI translate into tangible impact for the people we serve.</p><p><b><br>
Major Responsibilities</b></p><p><b>
1. AI Deployment, Configuration &amp; Context Adaptation</b></p><ul><li>
Lead end-to-end deployment of AI systems in program contexts, from initial scoping and configuration through live use</li><li>
Adapt systems to local environments, including language, cultural context, and operational realities</li><li>
Configure prompts, workflows, and AI System behavior, including conversation flows, instructional logic and user experience Curate, structure, and validate domain-specific knowledge bases including system memory and personalization strategies to improve relevance and continuity</li><li>
Ensure systems reflect real-world humanitarian knowledge that may not exist in training data</li><li>
Support multiple concurrent software deployments</li></ul><p><b>
2. Testing, Validation &amp; Continuous Improvement</b></p><ul><li>
Test AI systems in real-world conditions to identify failure modes before scale</li><li>
Applies an agile, iterative approach, rapidly building, testing, and refining systems based on real-world feedback, while exercising strong judgment on when to iterate vs. escalate or rethink approach</li><li>
Conduct safety validation and red teaming to identify risks, harms, and unintended consequences ensuring responsible and ethical AI deployment in vulnerable contexts</li><li>
Troubleshoot technical and operational issues, including in low-connectivity environments</li><li>
Collect and interpret user and community feedback on usability, relevance, and performance</li><li>
Escalate systemic issues and collaborate with engineering teams on fixes and improvements</li><li>
Define and track success metrics to evaluate system performance, user engagement and real-world impact over time</li></ul><p><b>
3. Partnership &amp; Cross-functional Collaboration</b></p><ul><li>
Train field teams on deploying systems and managing structured handovers to ensure adoption and sustained use</li><li>
Document deployment processes, configurations, and lessons learned to build institutional knowledge and support replication</li><li>
Work closely with AI engineers and technical teams to translate field insights into system improvements</li><li>
Collaborate with program teams and partners to align deployments with priorities</li><li>
Act as the primary interface between field teams and technical development during deployment</li><li>
Support scoping and technical input for proposals and cost recovery opportunities where deployment capacity is a factor</li><li>
Ensure solutions are integrated into workflows in ways that are practical, adopted, and sustained</li><li>
Contribute to shared learning across deployments to improve future implementation</li><li>
Identify patterns across deployments and translate them into reusable frameworks and best practices to improve speed and quality for future implementations</li><li>
Contribute to product design and system improvements by translating field insights into system requirements, feature priorities and roadmap input</li></ul><p></p><p><b><br>
Key Working Relationships:</b></p><ul><li>
Position Reports to: [Sr. Deployment Engineer]</li><li>
Key Relationships: AI/Technology development teams, IT, Data, regional and country program teams, implementing partners, sector specialists</li></ul><p><b><br>
Requirements:</b></p><ul><li>
3&ndash;5+ years of experience in software engineering, technical implementation, or related roles</li><li>
Proficiency in JavaScript/TypeScript and modern web development practices; comfort with Python or similar scripting languages a plus.</li><li>
Experience deploying and iterating on LLM-based applications in real-world environments</li><li>
Experience with communications or messaging platforms (e.g., Zendesk, WhatsApp, Telegram) preferred</li><li>
Experience integrating AI systems with third-party platforms and business tools (e.g. CRMs, messaging platforms, APIs), with familiarity with common integration patterns, authentication approaches, and data flow considerations.</li><li>
Proficiency with AI-assisted development tools (e.g. Cursor, Claude Code) and a clear-eyed understanding of their limitations and failure modes.</li><li>
Strong problem-solving skills, with the ability to translate real-world challenges into technical solutions</li><li>
Experience working in low-resource, high-complexity, or field-based environments</li><li>
Ability to operate in ambiguous environments and define structure where none exists</li><li>
Strong understanding of how AI systems behave in practice, including limitations and failure modes</li><li>
Ability to work across technical and non-technical teams and translate between them</li><li>
Experience training non-technical users and managing system handovers</li><li>
Experience in humanitarian, development, or nonprofit contexts strongly preferred</li><li>
Familiarity with East or Central Africa contexts preferred</li><li>
Fluency in English required; additional regional language skills preferred</li></ul><p><b><br>
Working Environment</b></p><p>
This position can be based remotely or in an IRC office location. The role requires close collaboration with country teams and may involve travel to field locations. Candidates should be comfortable working across time zones and in dynamic, resource-constrained environments.</p><p></p><p><b><br>
Compensation</b>: (US Pay Rate: 88,277-103,222 USD); (UK Pay Rate: 49,598.90-60,040 GBP) Ranges are based on various factors including the labor market, job type, internal equity, and budget. Exact offers are calibrated by work location, individual candidate experience and skills relative to the defined job requirements.</p><p></p><p><b><br>
PROFESSIONAL STANDARDS</b></p><p></p><p>
All International Rescue Committee workers must adhere to the core values and principles outlined in IRC Way - Standards for Professional Conduct. Our Standards are Integrity, Service, Equality and Accountability. In accordance with these values, the IRC operates and enforces policies on Safeguarding, Conflicts of Interest, Fiscal Integrity, and Reporting Wrongdoing and Protection from Retaliation. IRC is committed to take all necessary preventive measures and create an environment where people feel safe, and to take all necessary actions and corrective measures when harm occurs. IRC builds teams of professionals who promote critical reflection, power sharing, debate, and objectivity to deliver the best possible services to our clients.</p><p></p><p>
Cookies: https://careers.rescue.org/us/en/cookiesettings</p><p></p><p>
Compensation: Posted pay ranges apply to US-based candidates. Ranges are based on various factors including the labor market, job type, internal equity, and budget. Exact offers are calibrated by work location, individual candidate experience and skills relative to the defined job requirements.</p><p></p><p>
US Benefits: We offer a comprehensive and highly competitive set of benefits. In the US, these include: 10 sick days, 10 US holidays, 20-25 paid time off days depending on role and tenure, medical insurance starting at $163 per month, dental starting at $6.50 per month, and vision starting at $5 per month, FSA for healthcare and commuter costs, a 403b retirement savings plans with immediately vested matching, disability &amp; life insurance, and an Employee Assistance Program which is available to our staff and their families to support counseling and care in times of crisis and mental health struggles.</p><p></p><p>
Equal Opportunity Employer: IRC is an Equal Opportunity Employer. IRC considers all applicants on the basis of merit without regard to race, sex, color, national origin, religion, sexual orientation, age, marital status, veteran status, disability or any other characteristic protected by applicable law.</p><p></p><p>
#li-1</p></div>

Applied AI Enginner

Inherent Technologies

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 Seeking a
 <strong>
  hands-on AI Engineer/Developer
 </strong>
 to rapidly prototype and deliver AI-driven solutions across investment, research, and trading functions. This role is ideal for someone who can bridge
 <strong>
  financial domain knowledge with applied AI/ML development
 </strong>
 , building proof-of-concepts that can evolve into production-grade tools supporting investment decision-making.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 Design and develop
 <strong>
  AI/ML prototypes
 </strong>
 using Python to support investment research, portfolio analytics, and trading insights
 <br/>
 <br/>
 Build and test
 <strong>
  LLM-based and data-driven use cases
 </strong>
 (e.g., research summarization, signal generation, document analysis, automation)
 <br/>
 <br/>
 Work closely with
 <strong>
  investment professionals, research teams, and data engineers
 </strong>
 to translate business needs into functional AI solutions
 <br/>
 <br/>
 Develop and integrate
 <strong>
  data pipelines, APIs, and analytical models
 </strong>
 to support rapid experimentation
 <br/>
 <br/>
 Leverage tools such as
 <strong>
  Jupyter, Pandas, NumPy, LangChain, and cloud AI services (AWS/Azure/OpenAI)
  <br/>
  <br/>
 </strong>
 Perform
 <strong>
  data exploration, feature engineering, and model validation
 </strong>
 on financial datasets
 <br/>
 <br/>
 Iterate quickly on prototypes, incorporating feedback to refine models and outputs
 <br/>
 <br/>
 Ensure solutions consider
 <strong>
  data security, governance, and compliance
 </strong>
 within a financial services environment
 <br/>
 <br/>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 10+ years of experience in
 <strong>
  Python development
 </strong>
 with strong hands-on coding ability
 <br/>
 <br/>
 Experience building
 <strong>
  AI/ML or LLM-based applications and prototypes
  <br/>
  <br/>
 </strong>
 Exposure to
 <strong>
  financial services, asset management, trading, or investment research
  <br/>
  <br/>
 </strong>
 Strong experience with
 <strong>
  data analysis libraries
 </strong>
 (Pandas, NumPy) and working with structured/unstructured data
 <br/>
 <br/>
 Familiarity with
 <strong>
  APIs, microservices, and cloud platforms (AWS, Azure, or GCP)
  <br/>
  <br/>
 </strong>
 Ability to work in a
 <strong>
  fast-paced, iterative environment
 </strong>
 with direct interaction with business stakeholders
 <br/>
 <br/>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 Experience with
 <strong>
  LLM frameworks
 </strong>
 (LangChain, RAG architectures, vector databases)
 <br/>
 <br/>
 Knowledge of
 <strong>
  financial data sets, market data, or portfolio analytics
  <br/>
  <br/>
 </strong>
 Experience prototyping tools for
 <strong>
  quant research, credit analysis, or trading workflows
  <br/>
  <br/>
 </strong>
 Familiarity with
 <strong>
  Snowflake, Databricks, or modern data platforms
  <br/>
  <br/>
 </strong>
 <strong>
  What Success Looks Like
  <br/>
  <br/>
 </strong>
 Rapid delivery of
 <strong>
  high-impact AI prototypes
 </strong>
 that demonstrate clear business value
 <br/>
 <br/>
 Strong collaboration with front-office teams to
 <strong>
  solve real investment and research problems
  <br/>
  <br/>
 </strong>
 Ability to evolve prototypes into scalable solutions in partnership with engineering teams
</div>


Python Developer/AI Engineer

Crossing Hurdles

<div>
 <p>
  <strong>
   Crossing Hurdles
  </strong>
  is a global recruitment firm partnering with a fast-growing applied AI startup building at the intersection of AI and accounting.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Snapshot
  </strong>
 </p>
 <p>
  <strong>
   Role:
  </strong>
  Narratives &amp; Communications Lead
 </p>
 <p>
  <strong>
   YOE:
  </strong>
  2 - 10 years of experience in writing, journalism, or adjacent backgrounds
 </p>
 <p>
  <strong>
   Location:
  </strong>
  New York City | Onsite (5 days a week)
 </p>
 <p>
  <strong>
   Compensation:
  </strong>
  $100K - $225K + Equity
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About The Company
  </strong>
 </p>
 <p>
  It is creating a new category in financial software, deploying AI agents directly into real accounting workflows to transform how firms close books, generate insights and make decisions.
 </p>
 <p>
  This is a rare opportunity to help define the public narrative of a generational company in applied AI.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why You Should Consider
  </strong>
 </p>
 <ul>
  <li>
   Build the narrative for a frontier applied-AI company
  </li>
  <li>
   Create a new category at the intersection of AI and accounting
  </li>
  <li>
   High ownership and direct impact
  </li>
  <li>
   Join a generational company, early
  </li>
 </ul>
</div>


Narratives & Communications Lead | New York

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.</p><p>
As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.</p><p><b>
Job responsibilities</b></p><ul><li>
Deliver end-to-end solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices
</li><li>Use domain modelling techniques to allow us to build best in class business products.
</li><li>Structure software so that it is easy to understand, test and evolve.
</li><li>Build solutions that avoid single points of failure, using scalable architectural patterns.
</li><li>Develop secure code so that our customers and ourselves are protected from malicious actors.
</li><li>Promptly investigate and fix issues and ensure they do not resurface in the future.
</li><li>Make sure our releases happen with zero downtime for our end-users.
</li><li>See that our data is written and read in a way that's optimized for our needs.
</li><li>Keep us up to date by continuously updating our technologies and patterns.
</li><li>Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
</li><li><p>Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.</p><p>
</p></li></ul><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
Formal training or certification on software engineering concepts and 5+ years applied experience</li><li>
Recent hands-on professional experience as a back-end software engineer
</li><li>Experience in coding in a recent version of the Java programming language
</li><li>Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.)
</li><li>Experience with cloud technologies and distributed systems, RESTful APIs and web technologies.
</li><li>Knowledge of messaging frameworks.
</li><li>Hands-on experience designing and building enterprise-scale, high-volume data processing applications using SQL and NoSQL databases.</li><li>
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.</li><li>
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.
</li><li>Understanding with different kinds of data stores (including relational data stores)
</li><li>Seasoned with operating, supporting and the security of mission critical software applications.
</li></ul><b>ABOUT US</b><br>
<br>
<br>
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
Our Consumer &amp; Community Banking Group depends on innovators like you to serve consumers, small businesses, municipalities and non-profits. You'll support the delivery of award winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers.</div>

Lead Software Engineer - Back End Java or Python

ALICE + OLIVIA

<div>
 <p>
  Location: New York, NY or Secaucus, NJ (Hybrid)
 </p>
 <p>
  Decision Science Engineer (Applied Data Scientist)
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   POSITION SUMMARY:
  </strong>
 </p>
 <p>
  ALICE + OLIVIA is hiring a Decision Science Engineer to build, operationalize, and own predictive models that improve decision making across Planning, Merchandising/Buying, Customer 360, and Inventory Management. Working primarily within Palantir Foundry as the core analytics and deployment platform, this role bridges data science and platform engineering, translating real-world commercial constraints including seasonality, product lifecycle, allocations, replenishment, promotions/markdowns, and customer behavior into practical, production-grade, human-in-the-loop models.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a highly cross-functional role with direct, ongoing exposure to business stakeholders and end users, from planners and buyers who consume and act on model outputs, to the teams working within Foundry Workshop applications day-to-day. Understanding how outputs are used in real workflows, and staying close to the people using them, is central to how this role operates. Sitting within the IT organization and serving the full business including DTC, wholesale, planning, and supply chain, this position carries direct visibility to executive business stakeholders. This role is focused on applied data science, decision-support modeling, and model operationalization, not reporting or core data engineering, while partnering closely with Engineering, BI, and the broader Enterprise Applications team.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   RESPONSIBILITIES:
  </strong>
 </p>
 <ul>
  <li>
   Design, build, and maintain predictive and statistical models supporting retail planning, buying, inventory, and demand forecasting.
  </li>
  <li>
   Operationalize models within Palantir Foundry using Code Workbook and Code Repository, working against Snowflake as the primary data source and ensuring outputs are production-grade and maintainable.
  </li>
  <li>
   Own and evolve analytics logic and assumptions embedded in planning and buying workflows.
  </li>
  <li>
   Partner with Planning, Buying, Merchandising, and DTC teams to translate business needs into model-driven insights, maintaining direct, ongoing relationships with the stakeholders and end users consuming model outputs.
  </li>
  <li>
   Collaborate with the Enterprise Applications team on Workshop app development to ensure model outputs are surfaced effectively in business-facing Foundry applications.
  </li>
  <li>
   Build models for customer segmentation, CLV, retention/churn, propensity, and campaign targeting (Customer 360).
  </li>
  <li>
   Collaborate with Engineering, who owns data pipelines and Snowflake ingestion, to ensure model inputs are reliable, well-governed, and fit for purpose without owning the underlying data infrastructure.
  </li>
  <li>
   Support human-in-the-loop workflows where planners and buyers can interrogate, override, or adjust model outputs in real time.
  </li>
  <li>
   Validate model outputs against business reality and historical performance, closing the loop directly with end users on model accuracy and relevance.
  </li>
  <li>
   Document methodologies and assumptions to support long-term ownership and institutional knowledge.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   QUALIFICATIONS:
  </strong>
 </p>
 <ul>
  <li>
   4 to 8+ years of experience in data science, applied analytics, or predictive modeling.
  </li>
  <li>
   Strong experience building predictive or statistical models including forecasting, optimization, regression, and classification.
  </li>
  <li>
   Proficiency in Python for data analysis, modeling, and production-grade code.
  </li>
  <li>
   Strong SQL and hands-on experience with Snowflake or equivalent cloud data warehouse.
  </li>
  <li>
   Experience with Palantir Foundry strongly preferred, including familiarity with the Foundry Ontology layer, analytics and modeling tooling (Code Workbook, Code Repository), and how model outputs are surfaced through business-facing applications. Candidates who can reason within and contribute to an existing Ontology, and who understand how the semantic data layer connects to model design, will be prioritized.
  </li>
  <li>
   Familiarity with experiment design and causal inference.
  </li>
  <li>
   Experience with time-series forecasting at scale.
  </li>
  <li>
   Retail domain experience strongly preferred, including familiarity with demand vs net sales, sell-through, markdowns, planning vs buying workflows, seasons, price groups, and store vs e-commerce dynamics.
  </li>
  <li>
   Experience working with messy, real-world data and designing models that support business judgment.
  </li>
  <li>
   Ability to reason about semantic or ontology-based data models.
  </li>
  <li>
   Strong communication and relationship skills, comfortable working directly with planners, buyers, and business stakeholders, and able to translate model outputs into decisions, not just insights.
  </li>
  <li>
   Long-term ownership mindset for maintaining and evolving models over time.
  </li>
  <li>
   Hands-on experience building or contributing to Palantir Foundry Workshop applications.
  </li>
  <li>
   Background in wholesale or multi-channel retail, including familiarity with the operational differences between DTC, wholesale, and brick-and-mortar planning cycles.
  </li>
  <li>
   Exposure to agent-based or AI-assisted analytics workflows.
  </li>
  <li>
   Experience working within a formal data governance or steerco-driven prioritization structure.
  </li>
  <li>
   Familiarity with Snowflake-native development patterns including dbt, Snowpark, or similar.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ADDITIONAL INFORMATION:
  </strong>
 </p>
 <p>
  This role sits within the IT organization, reporting to the VP of Information Technology, and operates across the full business including Planning, Merchandising/Buying, DTC, and Supply Chain. Engineering owns ETL, data pipelines, and Snowflake ingestion. BI owns reporting and dashboards. This role owns predictive modeling, decision-support analytics, and model operationalization within Palantir Foundry. Work is prioritized through a cross-functional steering committee with direct business stakeholder representation, ensuring this role has structured visibility into commercial priorities and executive-level exposure from day one.
 </p>
 <p>
  <br/>
 </p>
 <p>
  ALICE + OLIVIA is at an inflection point in how it uses data to make decisions. This role is central to that transformation, building the analytics capability that connects our Palantir Foundry investment to real commercial outcomes across every part of the business. This is not a role that maintains existing infrastructure or produces reports. It is a greenfield opportunity to own a strategic function, work directly with the teams making decisions, and build something that compounds in value over time. For the right person, it is a rare combination of technical depth, business proximity, and organizational support.
 </p>
 <p>
  <br/>
 </p>
 <p>
  $150,000 -175,000 base salary (This range represents the low and high end of the anticipated base salary range for this NY OR NJ - based position. The base salary will depend on numerous factors such as: experience and qualifications for the role, experience level, skillset, and balancing internal equity relative to other A+O employees.)
 </p>
</div>


Data Scientist

Goldman Sachs

<div><div><div><p>Job Duties: Associate, Quantitative Engineering with Goldman Sachs Services LLC in New York, New York. Artificial Intelligence (AI) Quantitative role on Applied AI Team. Deploy AI-based quantitative technologies to drive revenue generation and innovation within the firm. Leverage advanced knowledge in computer science, statistics, artificial intelligence, and machine learning to address unique challenges and redefine possibilities at the intersection of Quantitative Finance and AI. Collaborate with various teams and divisions on pioneering projects that integrate artificial intelligence with quantitative finance, such as Time Series Forecasting, Market making, and Pricing. Address the specific challenges that arise when applying these techniques to the financial sector and push the state-of-the-art in AI for Quantitative Finance. Design, train, and deploy scalable AI models to drive commercial outcomes. Conduct experiments and analysis to enhance model performance. Collaborate effectively with colleagues to advance the production of machine learning systems and applications. Develop, test, and maintain high-quality, production-ready code.</p>
<p>Job Requirements: Master&rsquo;s degree (U.S. or foreign equivalent) in Computer Science, Financial Engineering, Applied Mathematics, or related quantitative field and one (1) year of experience in job offered or a related role OR Bachelor&rsquo;s degree (U.S. or foreign equivalent) in Computer Science, Financial Engineering, Applied Mathematics, or related quantitative field and three (3) years of experience in job offered or a related role. Prior experience must include one (1) year of experience (with a Master&rsquo;s degree) OR three (3) years of experience (with a Bachelor&rsquo;s degree) with: Working in an Artificial Intelligence (AI) Quantitative role; C++, Java or Python programming language; data structures, algorithms, and software engineering practices; machine Learning, Deep Learning, Large Language Models, and Time Series Forecasting algorithms; ML libraries and frameworks, including TensorFlow, PyTorch, scikit-learn, and Keras; big Data Technologies and MLOps tools such as Kubeflow or MLflow in production; and Financial markets, market making, or asset pricing.</p>
<p>Salary Range: Annual base salary for this New York, New York-based position is $113,000 - $155,600.</p>
<p>&copy;The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.</p>
</div></div><div><div><div>We Offer Best-In-Class Benefits
</div></div><div></div><div><div><div><div><div><div>Healthcare &amp; Medical Insurance
</div><div>We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.</div>
</div></div></div></div><div></div><div><div><div><div><div>Holiday &amp; Vacation Policies
</div><div>We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.</div>
</div></div></div></div><div></div><div><div><div><div><div>Financial Wellness &amp; Retirement
</div><div>We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees&rsquo; priorities.</div>
</div></div></div></div><div></div><div><div><div><div><div>Health Services
</div><div>We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.</div>
</div></div></div></div><div></div><div><div><div><div><div>Fitness
</div><div>To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).</div>
</div></div></div></div><div></div><div><div><div><div><div>Child Care &amp; Family Care
</div><div>We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.</div>
</div></div></div></div><div></div><div><div><div><div><div>Benefits at Goldman Sachs
</div><div>Read more about the full suite of class-leading benefits our firm has to offer.</div></div></div></div></div></div></div></div><div></div>
<br><div>Opportunity Overview
<div></div><div><div><div>CORPORATE TITLEAssociate
</div></div><div></div><div><div>OFFICE LOCATION(S)New York
</div></div><div></div><div><div>DIVISIONGlobal Banking &amp; Markets</div></div></div></div><p></p>

Global Banking & Markets - New York - Associate, Quantitative Engineering - 4195191

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