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The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. Join our US Supply Chain & Network Operations Offering, where you'll deliver transformational solutions using operational expertise, digital technologies, advanced analytics, and industry-specific hybrid solutions.

YEAR

Deloitte

Supply Chain Optimization Data Scientist Senior Consultant

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You Will: Develop and validate machine‑learning frameworks for FRC plasma‑dynamics, leveraging physics‑grounded ML approaches (e.g., differentiable physics, PINNs, surrogate modeling, or hybrid physics+ML systems). Since Helions founding in 2013, we have raised over $1 billion from long-time investors such as Sam Altman, Mithril, and Capricorn Investment Group as well as new investors SoftBank and Lightspeed to propel us forward.

Helion Energy Inc

Senior Plasma Data Scientist

As a Senior Data Scientist, you will partner with product teams, scientists, and technical leaders across Last Mile, Middle Mile, WW Ops Security, WW Real Estate, and other organizations to identify opportunities where community intelligence creates multiplicative business impact. You"ll balance breakthrough research with production deployment, collaborate across multiple science organizations, and translate complex analytical findings into actionable insights that influence senior leadership strategy.

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. 
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. 
It’s Always Day 1 
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> 
Our Leadership Principles 
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

Senior Data Scientist III, Community Intelligence Science & Engineering

As an AI & GenAI Data Scientist-Director, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients, transforming raw data into actionable insights that drive business growth. At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials.

PwC’s accounting practice originated in London well over a century ago. As times changed and PwC expanded worldwide, our commitment to clients—like you—never wavered. With us, you’re always supported by a global network of more than 223,000 people in 157 countries with one goal: to help your business thrive.

PwC’s professional services include audit and assurance, tax and consulting that cover such areas as cybersecurity and privacy, human resources, deals and forensics. We help resolve complex issues and identify opportunities across these industries.

Let’s combine your ​aspirations with our world-class capabilities to achieve your goals.

AI & Genai Data Scientist-Director

PricewaterhouseCoopers LLP

AI & GenAI Data Scientist-Director

You will leverage your knowledge in statistics and econometrics, estimate the causal impact of training interventions, recommend the right interventions for a given learner profile, and measure the post-launch success of these interventions through A/B weblabs. We develop technology and mechanisms for building personalized learning experiences based on the profiles of different learners and assess the post-training performance curves for different learner profiles.

Data Scientist II, AMZL, Central Learning Solutions Science

You will work with Product and Supply Chain Managers, Business Intelligence Engineers, System Developers and other Scientists, to develop models that solve a wide range of complex and ambiguous business problems, with the main goal to improve customer experience, improve availability of products and reduce supply chain cost. The R2L team is responsible for building the next generation supply chain for Amazon's world-class ultra-fast customer experiences including Amazon Fresh groceries, Sub-Same Day, Amazon Now, and other soon-to-launch exciting new businesses.

Data Scientist II, Rapid & Rural Logistics (R2L) Analytics

This role anchors our Topline View of Retail initiative: an always-on competitive intelligence capability that fuses third-party transaction panels with Amazon"s internal signals to answer how Amazon is winning or losing share of wallet, across segments, categories, and time. Given a new business question and a pile of raw panel and internal data, you are the person who defines what "competitiveness" means, translates it into a defensible, reproducible metric and model, and defends the methodology to skeptical senior stakeholders.

Senior Data Scientist, Customer Experience and Business Trends

The LEO Customer Terminal team is responsible for developing both outdoor and indoor devices that enable customers to access internet service via the LEO satellite network. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Data Scientist , Leo Customer Terminal

7+ years of post-Bachelor's experience in quantitative analysis and/or data science; or a Master's degree in a relevant field + 6+ years of post-grad experience in quantitative analysis and/or data science; or a PhD in a related field + 3+ years of post-grad experience in quantitative analysis and/or data science. The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.

Snapchat

Lead Data Scientist, Core, Level 6

First, we score parcel-level suitability for specific development uses, so a given site gets assessed differently depending on whether someone is evaluating it for conservation, a data center, solar, wind, or residential development. That support system includes: At least 2 in-person days per week | We’ve found that while heads-down time at home is fantastic for task-related productivity, in-person time is magic for longer-form productivity and relationship building.

Aarden AI

Sr. Data Scientist

The ideal candidate brings a strong background in automation by leveraging GenAI Large Language Models (LLMs), combined with experience analyzing complex datasets and a proven ability to transform business needs into deliverables. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.

Data Scientist, AWS Compliance & Security Assurance

You bring strong Python and SQL , plus comfort with large datasets in a distributed environment such as PySpark on Databricks, experimentation and causal inference skills , and the judgment to know which method a question calls for, as well as feature engineering instincts for transactional data . With the backing of our venture investors (Union Square Ventures, Canvas Ventures, Euclidean Capital, Unlock Venture Partners), a loyal following of hundreds of thousands of customers, and a fantastic team, we're unwavering in our fight for financial fairness.

Possible Finance

Senior Data Scientist

Your work will span the full data-science toolkit: designing and analyzing experiments (A/B tests), deep-diving customer-experience issues to find root causes, building propensity and behavioral models, forecasting demand, and applying causal methods to understand what actually drives our metrics. Acquire, transform, and validate large, evolving operational and customer datasets dive deep to investigate anomalies and data quality; and partner with data engineers to bring models and metrics into production.

Data Scientist II, Prime Air

Reporting to the Science Lead, this role supports the analytical capabilities of AWS by applying emerging technologies, contributing to data science best practices, and partnering with stakeholders to deepen understanding of the AWS customer experience. The ideal candidate has experience working in complex data and analytics environments, with hands-on skills in Machine Learning and advanced analytics techniques - preferably within cloud computing.

Data Scientist, Experience Analytics

You will partner with top-tier scientist, engineers and product teams to launch production-grade agentic capabilities at Amazon"s scale - owning your problem space end-to-end, from a crisp customer insight to a shipped product that millions of sellers rely on. Amazon Seller Assistant team operates at the very frontier of agentic AI and agentic commerce - not as a research group, but as a team shipping production-grade, multi-agent systems used by millions of sellers worldwide.

Sr Data Scientist, SPX AI Lab, SPX Science

You will perform analytics, execute experimentation, and conduct incrementality measurement to inform strategic decisions across the entire Ads Marketing lifecycle-from acquisition and onboarding to growth and retention. As a Data Scientist on this team, you will perform deep data analytics, drive experimentation and measurement, and advance machine learning modeling to support global marketing programs.

Google LLC

Business Data Scientist, Ads Marketing Analytics

Your work will be directly consumed by partner teams throughout Operations and Finance, and hence a strong sense of ownership is required to educate both technical and non-technical stakeholders on developed science solutions. We strive to build consensus on divisive topics through clear presentation of problem statements paired with deep analyses that gain visibility throughout all levels of the organization from operators to executives.

Data Scientist, NA Operations

The team is hiring a Data Scientist who has a solid background in Statistical Analysis, Machine Learning, GenAI applications and Data Mining and a proven record of effectively analyzing large complex heterogeneous datasets, and is motivated to grow professionally as a Data Scientist. You are able to multi-task between different tasks such as gap analysis of algorithm results, integrating multiple disparate datasets, doing business intelligence, analyzing engagement metrics or presenting to stakeholders.

Data Scientist II, NAS Returns Tech

Emphasizing trust, explainability, reliability, and governance, the team leverages cutting-edge machine learning, generative AI, computer vision, graph intelligence, optimization, and automation to enable predictive, proactive, and intelligent decision-making that supports Walmart's strategic objectives. What you''ll bring: Deep expertise in machine learning, applied statistics, optimization, and production AI systems, with hands-on experience in GenAI and agentic architectures including RAG, tool use, orchestration, evaluation, and human-in-the-loop workflows.

Data Scientist Jobs in Redmond, WA

Supply Chain Optimization Data Scientist Senior Consultant Deloitte

Senior Plasma Data Scientist Helion Energy Inc

Senior Data Scientist III, Community Intelligence Science & Engineering Amazon.com Inc

AI & Genai Data Scientist-Director PwC

AI & GenAI Data Scientist-Director PricewaterhouseCoopers LLP

Data Scientist II, AMZL, Central Learning Solutions Science Amazon.com Inc

Data Scientist II, Rapid & Rural Logistics (R2L) Analytics Amazon.com Inc

Senior Data Scientist, Customer Experience and Business Trends Amazon.com Inc

Data Scientist , Leo Customer Terminal Amazon.com Inc

Lead Data Scientist, Core, Level 6 Snapchat

Sr. Data Scientist Aarden AI

Data Scientist, AWS Compliance & Security Assurance Amazon.com Inc

Senior Data Scientist Possible Finance

Data Scientist II, Prime Air Amazon.com Inc

Data Scientist, Experience Analytics Amazon.com Inc

Sr Data Scientist, SPX AI Lab, SPX Science Amazon.com Inc

Business Data Scientist, Ads Marketing Analytics Google LLC

Data Scientist, NA Operations Amazon.com Inc

Data Scientist II, NAS Returns Tech Amazon.com Inc

(USA) Distinguished, Data Scientist Walmart Inc

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