applied scientist, aws automated reasoning

applied scientist, sponsored products and brands

associate brand strategy marketing manager

apparel & textile r&d designer Jobs in New York

apparel & textile r&d designer

applied scientist, aws automated reasoning Jobs in New York

applied scientist, sponsored products and brands Jobs in New York

associate brand strategy marketing manager Jobs in New York

brand specialist

applied scientist sponsored products and brands

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 novel 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 ecosystem. 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.
 
 
Key job responsibilities 
As an Applied Scientist on our team, you will 
 
<ul><li>Develop AI solutions for Sponsored Brands advertiser and shopper experiences. Build recommendation systems that leverage generative models to develop and improve campaigns.</li><li>You invent and design new solutions for scientifically-complex problem areas and/or opportunities in new business initiatives.</li><li>You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. You take ownership of these components, providing a system-wide view and design guidance. These systems or solutions can be brand new or evolve from existing ones.</li><li>Define a long-term science vision and roadmap for our Sponsored Brands advertising business, driven from our customers' needs, translating that direction into specific plans for applied scientists and engineering teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.</li><li>Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end;</li><li>Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses;</li><li>Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems</li><li>Effectively communicate technical and non-technical ideas with teammates and stakeholders;</li><li>Translate complex scientific challenges into clear and impactful solutions for business stakeholders.</li><li>Mentor and guide junior scientists, fostering a collaborative and high-performing team culture.</li><li>Stay up-to-date with advancements and the latest modeling techniques in the field
</li></ul> 
About the team 
We are on a mission to make Amazon the best in class destination for shoppers to discover, engage, and purchase relevant products, from brands that are relevant to them. In this role, you will design and implement Gen AI solutions that help millions of advertisers create more effective ad campaigns with intelligent recommendations, while improving the overall experience at Amazon's global scale.
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</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 - 172,400.00 - 223,400.00 USD annually 
USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually</div>

Applied Scientist, Sponsored Products and Brands

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Stores stakeholders to lead the expansion and growth of SPB across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value. 
 
Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we&rsquo;re helping businesses grow on Amazon.com and beyond! 
 
Key job responsibilities 
This role will be critical in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to: 
 
<ul><li>Design, develop, and operate large-scale distributed systems for Sponsored Products and Brands advertising.</li><li>Build and optimize data pipelines and services to improve ad retrieval, allocation, and recommendations.</li><li>Apply Generative AI (GenAI) and Large Language Models (LLMs) to deliver more relevant, personalized ad and shopping experiences.</li><li>Collaborate with applied scientists, product managers, and other engineers to define and deliver customer-focused solutions.</li><li>Write high-quality, maintainable code and participate in design and code reviews.</li><li>Drive operational excellence through monitoring, automation, and continuous improvement.</li></ul> 
A day in the life 
As a Software Development Engineer, you will help build hyper-scale online systems, offline data pipelines, and machine learning infrastructure&mdash;leveraging Generative AI (GenAI) and Large Language Models (LLMs) to transform advertising and shopping experiences. You will have the opportunity to transform core areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations by designing and delivering high-quality, architecturally sound systems aligned with business needs. With the support of GenAI, you will design globally scalable solutions that evolve in the right long-term direction while delivering iterative value to customers. This is a rare opportunity to redefine how ads are retrieved, allocated, and experienced&mdash;elevating them into personalized, contextually aware, and inspiring parts of the customer journey. If you are passionate about applying frontier AI to solve real-world problems at massive scale and impact, this is your chance to define the next chapter of advertising engineering. 
 
About the team 
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through advanced 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.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>Knowledge of Python and/or C++ programming</li><li>Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems</li><li>Bachelor's degree in computer science or equivalent</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Master's degree in computer science or equivalent</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 - 184,900.00 - 250,200.00 USD annually 
USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually</div>

Sr. Software Development Engineer, Sponsored Products and Brands

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
As a Software Development Engineer on the Sponsored Products and Brands Off-Search team, you will help build hyper-scale online systems, offline data pipelines, and machine learning infrastructure&mdash;leveraging Generative AI (GenAI) and Large Language Models (LLMs) to transform advertising and shopping experiences. You will have the opportunity to transform core areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations by designing and delivering high-quality, architecturally sound systems aligned with business needs. With the support of GenAI, you will design globally scalable solutions that evolve in the right long-term direction while delivering iterative value to customers. This is a rare opportunity to redefine how ads are retrieved, allocated, and experienced&mdash;elevating them into personalized, contextually aware, and inspiring parts of the customer journey. If you are passionate about applying frontier AI to solve real-world problems at massive scale and impact, this is your chance to define the next chapter of advertising engineering. 
 
Key job responsibilities 
This role will be critical in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to: 
 
<ul><li>Design, develop, and operate large-scale distributed systems for Sponsored Products and Brands advertising.</li><li>Build and optimize data pipelines and services to improve ad retrieval, allocation, and recommendations.</li><li>Apply Generative AI (GenAI) and Large Language Models (LLMs) to deliver more relevant, personalized ad and shopping experiences.</li><li>Collaborate with applied scientists, product managers, and other engineers to define and deliver customer-focused solutions.</li><li>Write high-quality, maintainable code and participate in design and code reviews.</li><li>Drive operational excellence through monitoring, automation, and continuous improvement.</li></ul> 
About the team 
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through state-of-the-art 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.
 
 
About our team 
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Stores stakeholders to lead the expansion and growth of SP across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value. 
 
Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we&rsquo;re helping businesses grow on Amazon.com and beyond!</div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>Knowledge of programming languages such as C/C++, Python, Java or Perl</li><li>Experience in computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis)</li><li>Experience designing, building, operating, and managing large-scale distributed systems or web services</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Hands-on experience applying Generative AI (GenAI) or Large Language Model (LLM) to real-world problems at scale.</li><li>Familiarity with NLP/ML frameworks (e.g., PyTorch, Hugging Face).</li><li>Experience in building machine learning systems, recommendation engines, or large-scale data pipelines.</li><li>Experience with AWS services or other cloud platforms.</li><li>Strong track record of delivering complex projects end-to-end.</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. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
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, CA, Palo Alto - 165,200.00 - 223,600.00 USD annually 
USA, NY, New York - 158,100.00 - 213,800.00 USD annually 
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually</div>

Software Development Engineer, Sponsored Products and Brands Off-Search

Andiamo

<div>
 Senior Data Scientist
 
 
 
 About The Role
 
 
 
 Partner with product and engineering to turn data into decisions. You&rsquo;ll design experiments, build predictive models, and deliver insights that move key metrics.
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Frame problems, define success metrics, and design A/B tests or quasi-experiments.
 </li>
 <li>
 Build models for prediction, ranking, segmentation, or forecasting.
 </li>
 <li>
 Develop data pipelines and features with engineering partners.
 </li>
 <li>
 Communicate results clearly to technical and non-technical audiences.
 </li>
 <li>
 Establish best practices for measurement, causal inference, and model monitoring.
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 6+ years in applied data science or analytics.
 </li>
 <li>
 Proficiency in Python, SQL, and ML libraries (pandas, scikit-learn, PyTorch/TensorFlow).
 </li>
 <li>
 Experience with experimentation, causal methods, or time-series.
 </li>
 <li>
 Strong stakeholder management and storytelling with data.
 
 
 </li>
 </ul>
 
 About Andiamo
 
 
 
 Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world&rsquo;s largest and most well-known companies.
 
 
 For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
 
 
 Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
</div>

Senior Data Scientist - Medical Software Company

G-III Apparel Group

<div>
 
 
 Data Engineer
 
 
 
 G-III Apparel Group
 
 
 
 
 
 
 Department:
 
 Data &amp; Analytics
 
 
 
 Reporting To:
 
 VP Data Insights
 
 
 
 Location (On-Site):
 
 New York, NY - Fashion District
 
 
 
 
 
 
 About G-III Apparel Group, Ltd. | www.g-iii.com
 
 
 
 G-III Apparel Group is a global leader in design, sourcing, manufacturing, distribution, and marketing. We bring excitement and confidence to customers through the fashion we create. With more than 30 owned and licensed brands, including some of the most recognized names in global fashion, our success is driven by entrepreneurial thinking, operational excellence, and strong industry partnerships.
 
 
 
 
 
 
 Position Summary
 
 
 
 The Data Engineer is responsible for building and maintaining the data infrastructure that supports analytics, reporting, and operational decision-making across the organization. Reporting to the VP of Data Insights, this role develops scalable data pipelines and reliable datasets used by internal teams, business partners, and analytics platforms. The Data Engineer will work closely with data scientists, engineers, and business stakeholders to ensure high-quality, accessible data that supports the company&rsquo;s broader data and analytics strategy.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, build and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data across enterprise systems
 </li>
 <li>
 Prepare, cleanse, and structure large datasets to support analytical modeling, reporting, and operational decision-making
 </li>
 <li>
 Implement data quality frameworks, validation rules, and monitoring systems to ensure data integrity and accuracy
 </li>
 <li>
 Partner with data scientists and analytics teams to support feature engineering and data preparation for quantitative analysis
 </li>
 <li>
 Work with engineering teams to implement automated anomaly detection and data monitoring solutions
 </li>
 <li>
 Serve as a subject-matter expert on internal datasets, including definitions, lineage, and quality standards
 </li>
 <li>
 Collaborate with product owners, business stakeholders, and systems teams to deliver reliable data products and services
 </li>
 <li>
 Design and maintain data models, data warehouses, and modern data architectures such as data lakes and data marts
 </li>
 <li>
 Contribute to the development of data governance standards, data documentation, and metadata management practices
 </li>
 <li>
 Support continuous improvement of the data platform through automation, testing, and performance optimization
 </li>
 <li>
 Ensure timely and reliable data delivery to support operational and strategic business needs
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 Required:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or equivalent practical experience
 </li>
 <li>
 3+ years of experience in data engineering or a similar data infrastructure role
 </li>
 <li>
 Strong proficiency in SQL and experience working with large relational datasets
 </li>
 <li>
 Programming experience in Python (including data processing libraries such as PySpark)
 </li>
 <li>
 Experience designing and implementing ETL/ELT pipelines and data integration workflows
 </li>
 <li>
 Experience with modern cloud platforms such as AWS, Azure, or GCP
 </li>
 <li>
 Working knowledge of data warehousing concepts, including data lakes, operational data stores, and dimensional modeling
 </li>
 <li>
 Familiarity with modern data orchestration and transformation tools (e.g., Airflow, Databricks, Data Factory, or similar)
 </li>
 <li>
 Understanding of data modeling, data governance, and data quality best practices
 </li>
 <li>
 Experience working in collaborative engineering environments using Git, CI/CD pipelines, and automated testing frameworks
 </li>
 <li>
 Strong analytical and problem-solving skills with the ability to communicate technical concepts clearly to both technical and non-technical audiences
 </li>
 <li>
 Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment
 </li>
 </ul>
 
 
 
 
 
 Preferred:
 
 
 <ul>
 <li>
 Experience building scalable pipelines using Spark or distributed processing frameworks
 </li>
 <li>
 Familiarity with Azure data services such as Azure Data Factory, Microsoft Fabric, Synapse or Databricks
 </li>
 <li>
 Exposure to streaming or real-time data architectures
 </li>
 <li>
 Experience implementing data quality frameworks and governance programs
 </li>
 <li>
 Familiarity with business intelligence tools such as Power BI
 </li>
 <li>
 Prior experience in retail, fashion, or consumer products industries
 </li>
 <li>
 Experience leveraging AI-assisted development tools (e.g., Copilot, GPT-based coding assistants) to improve engineering productivity
 </li>
 <li>
 Master&rsquo;s degree in a related quantitative or technical field
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 <ul>
 <li>
 Competitive base salary and performance-based incentives
 </li>
 <li>
 Comprehensive medical, dental, and vision benefits
 </li>
 <li>
 401(k) with company match
 </li>
 <li>
 Paid time off, holidays, and company-sponsored wellness benefits
 </li>
 <li>
 Employee discounts across G-III brands
 </li>
 <li>
 A collaborative, entrepreneurial work environment with career growth opportunities
 </li>
 </ul>
 
 
 
 
 
 Compensation
 
 
 
 
 Salary Range: $120,000 &ndash; $135,000 base (commensurate with experience)
 
 
 
 
 Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law.
 
 
 
 
 
 
 
 G-III&rsquo;s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., G-III Sports and more. G-III holds licenses for Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi&rsquo;s, Vince Camuto, Margaritaville, and others. The company also operates retail stores for DKNY, Karl Lagerfeld Paris, and Donna Karan.
 
 
</div>

Data Engineer

ALICE + OLIVIA

<div>
 
 Location: New York, NY or Secaucus, NJ (Hybrid)
 
 
 Decision Science Engineer (Applied Data Scientist)
 
 
 
 
 
 
 POSITION SUMMARY:
 
 
 
 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.
 
 
 
 
 
 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.
 
 
 
 
 
 
 RESPONSIBILITIES:
 
 
 <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>
 
 
 
 
 
 QUALIFICATIONS:
 
 
 <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>
 
 
 
 
 
 ADDITIONAL INFORMATION:
 
 
 
 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.
 
 
 
 
 
 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.
 
 
 
 
 
 $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.)
 
</div>

Data Scientist

Tempus AI

<div>
 
 Passionate about precision medicine and advancing the healthcare industry?
 
 
 
 Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
 
 
 
 About The Role
 
 
 
 The Real World Evidence (RWE) group within the Pharma R&amp;D team at Tempus works with major pharmaceutical partners to provide best-in-class data, analysis, and methodological guidance for Tempus&rsquo;s real-world data offering.
 
 
 We are seeking a highly motivated and solutions-oriented RWE Data Scientist II with experience and interest in oncology and epidemiological study design to join our team. This role requires the ability to lead observational studies, derive insights from complex real-world clinical data, implement advanced statistical methods, and leverage cutting-edge AI tools to scale tasks and augment insights.
 
 
 
 Key Responsibilities
 
 
 
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 Pharma Collaboration &amp; Strategy: Partner with pharmaceutical collaborators to independently execute robust RWE research plans that leverage the Tempus multimodal platform to address key questions in trial design and outcomes research.
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 Real World Data Expertise: Lead the derivation of complex real-world endpoints using extensive coding, demonstrating deep comprehension of Tempus clinical and molecular data structures and complexity, while also serving as an expert on the methodological nuances and limitations of real-world data.
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 Methodology &amp; Platform Contribution: Stay up-to-date on methodological advancements in real-world studies (e.g., causal inference, survival analysis) and oncology guidelines (NCCN and ongoing clinical trials) to contribute to reusable code, internal packages, and best practices that can be applied across multiple collaborations.
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 AI &amp; LLM Innovation: Incorporate LLMs, agentic workflows and other AI tools into day-to-day workflows to accelerate code development, discovery, documentation, review, and insight generation.
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 Scientific Interpretation &amp; Communication: Interpret results of RWE analyses to draw appropriate inferences based on study design/statistical methods, while also evaluating study limitations. Communicate complex methods and results clearly to both technical and non-technical stakeholders. Prepare and present internal reports, external-facing deliverables, and, where appropriate, manuscripts or conference materials.
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 Cross-Functional Collaboration: Collaborate with internal product, oncology, and clinical abstraction, and real-world data science teams to continually enhance Tempus data quality, products, and analytical best practices.
 
 
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 Minimum Qualifications
 
 
 
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 Education: Education in epidemiology, biostatistics, data science, public health, or a related field, to the level of either:
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 PhD
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 Master&rsquo;s degree and 2+ years of additional work experience
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 Technical and Statistical Proficiency:
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 Proficiency with observational real-world healthcare data, including analytical experience with time-to-event methodologies (survival analysis).
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 Proven expertise in executing RWD analytical studies.
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 Proficient in using R and SQL, especially statistical tools and packages.
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 Proficiency applying machine learning, LLM-based coding assistants (e.g., Copilot, Cursor) and agentic frameworks to support data analysis, code review, or scientific documentation workflows.
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 Adherence to good software engineering practices (version control, modular code, documentation).
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 Communication &amp; Client Focus: Demonstrated experience interfacing with clients, showcasing adeptness in presenting and tailoring messaging to a variety of stakeholders.
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 Soft Skills: Excellent written and verbal communication skills with strong project management skills. Ability to thrive in a fast-paced, dynamic environment working with multi-disciplinary scientists on complex problems.
 
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 Preferred Skillsets
 
 
 
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 Experience working with Pharma or drug development.
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 Experience in clinical trial design (particularly Phase II-III) in the clinical development space.
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 Analytical proficiency with claims, EHR, or registry data.
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 Practical experience configuring or adapting LLMs, or using related tools/frameworks, to support scientific work.
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 Knowledge of oncology guidelines (e.g., NCCN).
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 Experience with biomarker or molecular data (e.g., genomics).
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 Experience with cloud platforms such as AWS and/or BigQuery and/or Google Cloud Platform (GCP).
 
 
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 CHI: $90,000-$135,000 USD
 
 
 NYC/SF: $100,000-$150,000 USD
 
 
 The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.
 
 
 Additionally,
 
 
 for remote roles open to individuals in unincorporated Los Angeles
 
 &ndash; including remote roles-
 
 Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
 
 
 We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Data Scientist II, Real World Evidence (RWE), Pharma R&D

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