We are seeking a passionate Data Scientist with deep expertise in optimization and causal inference ... Analyze sentiment risks and enhance algorithms that support DSP program management, including ...
We are seeking a passionate Data Scientist with deep expertise in optimization and causal inference ... Analyze sentiment risks and enhance algorithms that support DSP program management, including ...
Data Scientist III
Bellevue, WA · On-site +1
Build out and operationalize causal inference models to calculate annualized incremental lift ... Exempt salary team members have unlimited PTO, subject to manager approval. Team members will ...
Data Scientist III
Bellevue, WA · On-site +1
Build out and operationalize causal inference models to calculate annualized incremental lift ... Exempt salary team members have unlimited PTO, subject to manager approval. Team members will ...
Data Scientist III
Bellevue, WA · On-site
Build out and operationalize causal inference models to calculate annualized incremental lift ... Exempt salary team members have unlimited PTO, subject to manager approval. Team members will ...
Data Scientist III
Bellevue, WA · On-site
Build out and operationalize causal inference models to calculate annualized incremental lift ... Exempt salary team members have unlimited PTO, subject to manager approval. Team members will ...
... management, graph neural networks, reinforcement learning ... causal inference, optimization, and LLM-based forecasting models) to build scalable ML products ...
... management, graph neural networks, reinforcement learning ... causal inference, optimization, and LLM-based forecasting models) to build scalable ML products ...
Sr. Manager, Applied Science, Marketing Measurement and Performance Science (MAPS)
Seattle, WA · On-site
The team focuses on building scalable ML and causal inference solutions to estimate the ... managers and software teams. You will apply your expertise in Economics, ML/DL, statistics, and ...
Sr. Manager, Applied Science, Marketing Measurement and Performance Science (MAPS)
Seattle, WA · On-site
The team focuses on building scalable ML and causal inference solutions to estimate the ... managers and software teams. You will apply your expertise in Economics, ML/DL, statistics, and ...
In this role, you will manage the lifecycle of complex, cross-functional programs that transform ... develop causal inference models, automated explainability frameworks, and variance bridging ...
In this role, you will manage the lifecycle of complex, cross-functional programs that transform ... develop causal inference models, automated explainability frameworks, and variance bridging ...
We are seeking a passionate Data Scientist with deep expertise in optimization and causal inference ... Analyze sentiment risks and enhance algorithms that support DSP program management, including ...
We are seeking a passionate Data Scientist with deep expertise in optimization and causal inference ... Analyze sentiment risks and enhance algorithms that support DSP program management, including ...
Design and execute robust causal inference and measurement frameworks, including A/B testing, quasi ... Partner with scientists, engineers, economists, and product managers to translate ambiguous ...
Design and execute robust causal inference and measurement frameworks, including A/B testing, quasi ... Partner with scientists, engineers, economists, and product managers to translate ambiguous ...
Senior Machine Learning Engineer
Seattle, WA · On-site
$186K - $300K/yr
With intelligent agreement management, Docusign unleashes business-critical data that is trapped ... Collaborate with Applied Scientists to translate bleeding-edge research (e.g., causal inference ...
Senior Machine Learning Engineer
Seattle, WA · On-site
$186K - $300K/yr
With intelligent agreement management, Docusign unleashes business-critical data that is trapped ... Collaborate with Applied Scientists to translate bleeding-edge research (e.g., causal inference ...
Lead and manage complex, multi-disciplinary epidemiological engagements * Design and oversee study protocols, including exposure assessment, outcome definition, and causal inference strategies
Lead and manage complex, multi-disciplinary epidemiological engagements * Design and oversee study protocols, including exposure assessment, outcome definition, and causal inference strategies
Principal Consulting Epidemiologist
Redmond, WA · On-site +1
Lead and manage complex, multi-disciplinary epidemiological engagements * Design and oversee study protocols, including exposure assessment, outcome definition, and causal inference strategies
Principal Consulting Epidemiologist
Redmond, WA · On-site +1
Lead and manage complex, multi-disciplinary epidemiological engagements * Design and oversee study protocols, including exposure assessment, outcome definition, and causal inference strategies
Senior Machine Learning Engineer
Seattle, WA · On-site +1
$186K - $300K/yr
With intelligent agreement management, Docusign unleashes business-critical data that is trapped ... Collaborate with Applied Scientists to translate bleeding-edge research (e.g., causal inference ...
Senior Machine Learning Engineer
Seattle, WA · On-site +1
$186K - $300K/yr
With intelligent agreement management, Docusign unleashes business-critical data that is trapped ... Collaborate with Applied Scientists to translate bleeding-edge research (e.g., causal inference ...
Senior Economist, International Seller Services
$104K - $132K/yr
... causal inference, LLMs, and generative AI. You'll combine rigorous economic methods with real ... Key job responsibilities In this role, you will be a people manager and a technical leader in ...
Senior Economist, International Seller Services
$104K - $132K/yr
... causal inference, LLMs, and generative AI. You'll combine rigorous economic methods with real ... Key job responsibilities In this role, you will be a people manager and a technical leader in ...
Machine Learning Engineer, Pricing - TikTok E-commerce Global Supply Chain and Logistics
Seattle, WA · On-site
$148K - $300K/yr
... causal inference methods. -Deeply understand the e-commerce business scenario, and refine the ... management teams to promote the productization and implementation of algorithm models to ...
Machine Learning Engineer, Pricing - TikTok E-commerce Global Supply Chain and Logistics
Seattle, WA · On-site
$148K - $300K/yr
... causal inference methods. -Deeply understand the e-commerce business scenario, and refine the ... management teams to promote the productization and implementation of algorithm models to ...
Lead and manage complex, multi-disciplinary epidemiological engagements * Design and oversee study protocols, including exposure assessment, outcome definition, and causal inference strategies
Lead and manage complex, multi-disciplinary epidemiological engagements * Design and oversee study protocols, including exposure assessment, outcome definition, and causal inference strategies
Senior Full Stack Engineer - Seattle
Seattle, WA · On-site
$200K - $230K/yr
Using frontier causal inference-based econometric models to run experiments, we help brands measure ... With a founding team of former product managers, economists, and engineers from Google, Netflix ...
Senior Full Stack Engineer - Seattle
Seattle, WA · On-site
$200K - $230K/yr
Using frontier causal inference-based econometric models to run experiments, we help brands measure ... With a founding team of former product managers, economists, and engineers from Google, Netflix ...
Senior Economist, International Seller Services
Seattle, WA · On-site
$104K - $132K/yr
... causal inference, LLMs, and generative AI. You'll combine rigorous economic methods with real ... Key job responsibilities In this role, you will be a people manager and a technical leader in ...
Senior Economist, International Seller Services
Seattle, WA · On-site
$104K - $132K/yr
... causal inference, LLMs, and generative AI. You'll combine rigorous economic methods with real ... Key job responsibilities In this role, you will be a people manager and a technical leader in ...
What You'll Do Architect and implement ML foundations for capacity management, building models that ... Experience with reinforcement learning for dynamic resource allocation and causal inference for ...
What You'll Do Architect and implement ML foundations for capacity management, building models that ... Experience with reinforcement learning for dynamic resource allocation and causal inference for ...
What You'll Do Architect and implement ML foundations for capacity management, building models that ... Experience with reinforcement learning for dynamic resource allocation and causal inference for ...
What You'll Do Architect and implement ML foundations for capacity management, building models that ... Experience with reinforcement learning for dynamic resource allocation and causal inference for ...
... learning, and causal inference to measure the true impact of capacity decisions on customer ... Take the lead on capacity management challenges that deliver significant benefits to customers and ...
... learning, and causal inference to measure the true impact of capacity decisions on customer ... Take the lead on capacity management challenges that deliver significant benefits to customers and ...
Manager Causal Inference information
See Redmond, WA salary details
$32.5K - $41.5K
1% of jobs
$41.5K - $50.6K
5% of jobs
$50.6K - $59.7K
3% of jobs
$59.7K - $68.7K
3% of jobs
$68.7K - $77.8K
3% of jobs
$77.8K - $86.8K
1% of jobs
$86.8K - $95.9K
1% of jobs
$95.9K - $105K
1% of jobs
$105K - $114K
1% of jobs
$114K - $123.1K
1% of jobs
$123.5K is the 25th percentile. Wages below this are outliers.
$123.1K - $132.2K
79% of jobs
$32.5K
$117.1K
$132.2K
How much do manager causal inference jobs pay per year?
As of Jul 30, 2026, the average yearly pay for manager causal inference in Redmond, WA is $117,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,700.00 and $130,500.00 per year, depending on experience, location, and employer.
How does a Manager of Causal Inference typically collaborate with cross-functional teams to drive impactful business insights?
Managers of Causal Inference frequently work alongside data scientists, product managers, engineers, and business leaders to design and execute experiments that reveal the true impact of business decisions. They translate complex statistical findings into actionable recommendations, ensuring stakeholders understand both the methodology and implications. Regularly, they lead discussions on experiment design, data collection strategies, and result interpretation, fostering a culture of evidence-based decision-making across the organization.
What does a Manager Causal Inference do?
A Manager Causal Inference leads teams that analyze data to determine cause-and-effect relationships, often in business, healthcare, or technology settings. They design experiments or use statistical methods to understand how different factors influence outcomes, helping organizations make data-driven decisions. This role typically involves managing projects, overseeing analysts or data scientists, and communicating findings to stakeholders. Strong expertise in statistics, data analysis, and leadership is essential for success in this position.
What are the key skills and qualifications needed to thrive as a Manager of Causal Inference, and why are they important?
To thrive as a Manager of Causal Inference, you need a deep understanding of statistics, econometrics, and experimental design, typically supported by an advanced degree in a quantitative field. Proficiency with data analysis tools such as R, Python, SQL, and specialized causal inference libraries, along with experience using data visualization and project management platforms, is crucial. Strong leadership, communication, and critical thinking skills help you effectively guide teams and translate complex findings to stakeholders. These skills ensure rigorous, actionable insights that drive strategic decision-making and organizational impact.
What job categories do people searching Manager Causal Inference jobs in Redmond, WA look for? The top searched job categories for Manager Causal Inference jobs in Redmond, WA are:
Amazon rating
7.4
Based on 7,023 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
The WW DSP Analytics team is a centralized analytics organization within Amazon's Last Mile Delivery Service Partner (DSP) program. We build best-in-class solutions that enable data-driven decision making across our global DSP ecosystem. Our team partners with internal stakeholders, DSP owners, and cross-functional teams to deliver insights that drive operational excellence, business growth, and the success of small business owners in Last Mile delivery.
Our work directly impacts customer experience, driver and station associate experience, DSP success, and Amazon's sustainable growth.
The goal of Amazon's DSP organization is to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually striving to innovate and provide best in class delivery experience through the introduction of pioneering new products and services in the last mile delivery space. Come join us and help us make history!
We are seeking a passionate Data Scientist with deep expertise in optimization and causal inference to join our team
You will work on some of the most challenging problems in DSP delivery planning and the business health space, applying data science rigor to improve how decisions are made and drive outcomes at scale.
Key job responsibilities
Develop Science Solutions for DSP Capacity Planning & Business Health: Design and implement data science solutions that optimize Delivery Service Partner (DSP) capacity allocation and business health measurement across the global DSP network. Leverage deep expertise in mathematical optimization and causal inference to identify opportunities for improving capacity planning models, volume share calibration methodologies, and business health measurement systems that drive partner sustainability.
Analyze Sentiment Risks & Business Health Metrics: Analyze sentiment risks and enhance algorithms that support DSP program management, including business health indicators, capacity reliability models, and partner viability frameworks that inform intervention strategies.
Translate Business Requirements into Mathematical Models: Demonstrate strategic thinking by translating high-level DSP capacity planning and business health improvement requirements into optimization formulations and predictive models, and applying them to quantify return on investment for policy changes and network interventions.
Build Production-Scale Analytics: Contribute to the development and deployment of scalable data models, dashboards, and automated reporting systems that enable self-service analytics for DSP stakeholders and surface business health signals at scale.
Accelerate GenAI Footprint: Partner with Data Engineers to expand our GenAI tools and improve developer productivity, while raising the bar on data quality and enabling intelligent automation across capacity planning workflows.
Conduct Independent Data Analysis: Mine and analyze complex datasets across multiple domains, business health metrics, financial data, capacity signals, and operational data, using programming and statistical tools to generate actionable insights.
Thrive in a Collaborative Environment: Excel in a fast-paced analytics organization that encourages collaborative and creative problem-solving. Measure and communicate analytical risks, constructively critique peer work, and align research focuses with DSP capacity planning strategic needs.
Partner Cross-Functionally: Work closely with Business Intelligence Engineers, capacity planning teams, and DSP stakeholders to define KPIs, validate analytical approaches, and ensure insights drive meaningful outcomes.
About the team
We are the WW DSP Analytics team with the vision to enable data, insights and science driven decision-making
We have exceptionally talented and fun loving team members. In our team, you will have the opportunity to dive deep into complex business and data problems, drive large scale technical solutions and raise the bar for operational excellence. We love to share ideas and learning with each other.
We believe in promoting and using ideas to disrupt the status quo.
About Amazon
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
Industry
It services, book publishers, retail, real estate and computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US