UNKNOWN

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We are looking for a passionate, hard-working, and talented Applied Scientist who has experience building mission critical, high volume applications that customers love. Understanding the complexities of customers" shopping needs and helping them explore the depth and breadth of Amazon"s catalog is a challenge we take on every day.

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life. <br><br>
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet. <br><br>
<strong>It’s Always Day 1</strong> <br>
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter <a href="https://hiring.amazon.com/why-amazon/culture#/">here</a> <br><br> 
<strong>Our Leadership Principles</strong><br>
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit <a href="https://www.amazon.jobs/principles" target="_blank">https://www.amazon.jobs/principles</a>

Amazon.com Inc

Sr. Applied Scientist

We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon"s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations.

Applied Scientist, AWS Applied AI Solutions

This role sits at the intersection of organizational science, behavioral research, and people strategy - developing novel frameworks and conducting systematic research that drives evidence-based people decisions across our growing organization. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

YEAR

Anthropic

People Research Scientist, Recruiting

ea_via_bold

You'll translate business questions into analytics projects, perform ad-hoc and strategic analysis, improve visibility into core systems through data modeling and dashboarding, create OKRs and KPIs tied to business goals and user experiences, and support feature-shipping decisions through experimentation. As cash flow data becomes an increasingly important tool across the lender lifecycle - from acquisition through servicing - you'll help build cash-flow-based products that enable lenders to approve more borrowers, reduce losses, and reach new segments.

Plaid Inc

Data Scientist

We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. At Embedded Insights, we find the best machine learning opportunities for external products and internal systems, and collaborate with cross-functional partners to bring them to life.

Senior Data Scientist - Embedded Insights

You'll translate business questions into analytics projects, perform ad-hoc and strategic analysis, improve visibility into core systems through data modeling and dashboarding, create OKRs and metrics tied to business goals, and support feature ship decisions through experimentation. Identify novel ways to impact top-line OKRs and influence stakeholders on prioritization, roadmapping, and execution, while exploring ML prototypes and causal inference approaches where they can improve product or decision quality.

Senior Data Scientist - Network Value (Guard)

In this research role, you'll partner closely with Machine Learning Engineers and Data Scientists to uncover new signals, explore and evaluate innovative modeling approaches, and translate promising research into production-ready solutions that strengthen fraud detection across Plaid's network. In close partnership with Machine Learning Engineers, you'll translate promising research into production-ready solutions and communicate your findings internally and externally to advance the technical bar for fraud machine learning at Plaid.

Senior Machine Learning Engineer (Research Scientist) - Fraud

Our team owns the end-to-end ML lifecycle, from feature pipelines and model training to production serving and monitoring, ensuring our systems are reliable, scalable, and built to support hundreds of customers and data partners. You'll build dashboards and metrics that provide a clear, shared view of product performance, run backtests to evaluate performance and identify high-impact rules and model strategies, and generate insights that support customer growth and expansion.

Data Scientist - Fraud

PSE's Communications Strategy team is looking for a Marketing Data Scientist to lead the development, measurement, and optimization of marketing, customer engagement, and communications performance through advanced analytics, data science, and business intelligence. The Marketing Data Scientist will need to partner cross-functionally with marketing, customer insights, analytics, regulatory, and external agencies to deliver actionable insights that improve engagement, enhance customer experience, and support corporate goals.

Puget Sound Energy

Marketing Data Scientist

We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share. Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves.

Sapience AI Corporation

Foundational Model Research Data Scientist

As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. Design and evaluate marketing experiments and measurement frameworks (e.g., A/B tests, incrementality, pre/post, causal impact, casual inference, regression, multivariate analysis) to optimize spend, targeting, and creative across channels.

Expedia

Data Scientist III - Growth Marketing

Through Maven Enterprise, the company partners with more than 2,300 employers and health plans to provide end-to-end women's and family health programs spanning fertility and family building, maternity and newborn care, parenting and pediatrics, and menopause and midlife — improving clinical outcomes, reducing healthcare costs, and expanding equitable access to high-quality care at scale. Founded in 2014 by CEO Kate Ryder, Maven Clinic has raised more than $425 million from leading healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital.

Maven Clinic

Senior Decision Scientist, Measurement & Insights

GreenHouseAPI

As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership.

Senior Data Scientist - Customer Data Platform

Since 1983, when it launched the Nintendo Entertainment System, Nintendo has sold more than 4.7 billion video games and more than 740 million hardware units globally, including Nintendo Switch and the Nintendo 3DS family of systems, as well as the Game Boy, Game Boy Advance, Nintendo DS family of systems, Super NES, Nintendo 64, Nintendo GameCube, Wii and Wii U systems. The worldwide pioneer in the creation of interactive entertainment, Nintendo Co., Ltd., of Kyoto, Japan, manufactures and markets hardware and software for its Nintendo Switch system and the Nintendo 3DS family of portable systems.

Nintendo Co Ltd

Sr Engineer, Data Scientist (NTD)

ADAPTED_NOW

Experience deploying machine learning models in production environments, with a focus on cloud-based solutions such as GCP (BigQuery, GCS, Vertex AI, Composer), as well as workflow orchestration tools like Airflow, model tracking using MLflow, and containerization technologies like Docker. Candidate Generation/Retrieval: Selecting the right subset of products for our final scoring layers from our entire catalog efficiently through deep understanding of our product catalog and our customers at extreme scale using low latency situations across multiple types of Candidate Generators and Retrieval stages.

Wayfair

Machine Learning Scientist III - Ads + Search & Recommendations

Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Adobe Firefly's Applied Science & Machine Learning (ASML) group invites an Applied Scientist / Machine Learning Engineer passionate about post-training and distillation of large generative AI models to join the team.

Adobe is the global leader in digital marketing and digital media solutions. Our tools and services enable our customers to create groundbreaking digital content, deploy it across media and devices, measure and optimize it over time, and achieve greater business success. We help our customers make, manage, measure and monetize their digital content across every channel and screen.  </p>  <h2>Digital media</h2><p> Adobe helps creative professionals, publishers, developers, and businesses create, publish, promote, and monetize their content anywhere.</p> <h2>Digital marketing</h2><p> Our digital marketing solutions combine content and data, personalization, experience management, and social capabilities so businesses can move faster from data to insights to action. </p>

ADOBE Inc

Senior Applied Scientist

HOUR

Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions' Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/ . By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities.

INSPYR Solutions

Research Scientist III

jobdiva

FULL_TIME

Prepare and /or provide technical review/QC of permit applications and technical deliverables including maps, figures, wetland reports, habitat assessments, mitigation plans, and other environmental documentation, demonstrating strong scientific writing and consistency. Conduct local and regional field investigations, including wetland delineation, ordinary high water (OHW) determinations, monitoring studies, and habitat assessments, working independently or under supervision based on experience level.

Westland Resources

Environmental Scientist

Talent Acquisition

We are seeking a Data Scientist with a strong background in marketing measurement, causal inference, and experimentation who has a deep passion for building data-driven products, the ability to formulate data insights and scientific vision, and a proven track record of executing complex projects and delivering business impact. Key Job Responsibilities: Marketing Measurement: Develop and enhance Marketing Mix Models (MMM) to measure channel effectiveness, optimize budget allocation, and quantify ROI across marketing investments.

Ursus, Inc.

To provide the best possible online shopping at the scale of the web requires ideas from every area of computer science, including distributed computing, large-scale system design, machine learning, natural language processing, data compression and user interface design; the list goes on and is growing every day. Amazon.com's Product Detail Page team is looking for talented, motivated and passionate applied scientist to be part of the design and development of a highly scalable multi-tiered shopping application to provide the best possible online shopping experience for Amazon customers world-wide.

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