data scientist, product analytics Jobs in Seattle

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data engineer - seattle, wa

data analyst

Seattle Children's

<div>Supports the Hospital and Enterprise Analytics' vision, mission, and strategic initiatives by using technical expertise to design, create and develop analytical solutions and by providing internal consultation and project management. The incumbent provides leadership in the facilitating and gathering business requirements, and provides knowledge in business/clinical processes, analytical expertise, technical programming skills, and substantial leadership skills in working with key stakeholders, end users and project team members. This position identifies and resolves issues throughout the development of analytical solutions, and is accountable for identifying opportunities for continuous improvement in workflow processes in the implementation of these solutions. Primary responsibility is the design, creation and deployment of analytical solutions for Executive leadership and other key stakeholders within the SCH organization. The incumbent is responsible for frequently taking a formal or an informal lead on project tasks, and leads efforts to design and implement analytic solutions, including reports, dashboards, and views from a wide range of existing data sources, and provides leadership in evaluating and optimizing these solutions. The incumbent also assures integrity of the data for current and future use in strategic initiatives, continuous quality improvement efforts and hospital goals, and for insuring the sustainability and adaptability of all developed solutions. 
Required Education and Experience 
Bachelor's Degree in Health Science, Computer Science, Math, Business or related field, or equivalent combination of education and experience/technical training that demonstrates analytical and technical competency. Minimum five (5) years experience in progressively more responsible work as a data analyst, developer or equivalent. Experience with Cerner, Epic or similar software product. 
 
Required Credentials
 
N/A. 
 
Preferred 
At least three (3) years managing medium to large projects using standard project management skills, tools and methodologies. Experience working as a data analyst within a healthcare setting. Experience with clinical, hospital and/or financial applications and/or systems. Experience working with clinicians on pathways, order sets or similar tools. Experience working with the development life cycle. Uses reasonableand basic statistical analyses to make comparisons and detect trends. Utilizes established data analysis models and tools for analyzing qualitative or quantitative data. Applies fundamental statistical methods to identify correlations and causal relationships.
Compensation Range
$118,174.00 - $177,262.00 per year
Salary Information
This compensation range was calculated based on full-time employment (2080 hours worked per calendar year). Offers are determined by multiple factors including equity, skills, experience, and expertise, and may vary within the range provided.<div>
Disclaimer for Out of State Applicants
This compensation range is specific to Seattle, positions located outside of Seattle may be compensated differently depending on various factors.<div>
Benefits Information
Seattle Children&rsquo;s offers a generous benefit package, including medical, dental, and vision plans, 403(b), life insurance, paid time off, tuition reimbursement, and more. Additional details on our benefits can be found on our website www.seattlechildrens.org/careers/benefits.<div>
About Us
Hope. Care. Cure. These three simple words capture what we do at Seattle Children&rsquo;s &ndash; to help every child live the healthiest and most fulfilling life possible. Are you ready to engage with a mission-driven organization that is life-changing to many, and touches the hearts of all? #HOPECARECURE
Our founding promise to the community is as valid today as it was over a century ago: we will care for all children in our region, regardless of the families&rsquo; ability to pay. Together, we deliver superior patient care, advance new discoveries and treatments through pediatric research, and serve as the pediatric and adolescent, academic medical center for Washington, Alaska, Montana and Idaho &ndash; the largest region of any children&rsquo;s hospital in the country. 
 
U.S. News &amp; World Report consistently ranks Seattle Children&rsquo;s among the nation&rsquo;s best children&rsquo;s hospitals. For more than a decade, Seattle Children&rsquo;s has been nationally recognized in key specialty areas. We are honored to be one of the nation&rsquo;s very best places to care for children and the top-ranked pediatric hospital in Washington and the Pacific Northwest.
As a Magnet designated institution, we recognize the importance of hiring and developing great talent to provide best-in-class care to the patients and families we serve. Our organizational DNA takes form in our core values: Compassion, Excellence, Integrity, Collaboration, Equity and Innovation. Whether it&rsquo;s delivering frontline care to our patients in a kind and caring manner, practicing the highest standards of quality and safety, or being relentlessly curious as we work towards eradicating childhood diseases, these values are the fabric of our culture and community. The future starts here.
Our Commitment
Seattle Children&rsquo;s welcomes people of all experiences, backgrounds, and thoughts as this is what drives our spirit of inquiry and allows us to better connect with our patients and families. Our organization recruits, employs, trains, compensates, and promotes based on merit without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
The people who work at Seattle Children&rsquo;s are members of a community that seeks to respect and celebrate all the qualities that make each of us unique. Each of us is empowered to be ourselves.
Seattle Children&rsquo;s is proud to be an Equal Opportunity Workplace and Affirmative Action Employer.</div></div></div></div>

Senior Data Analyst - Provider Analytics

Redfin

<div>This position is a hybrid role requiring employees to work from our headquarters location in Seattle, WA every Tuesday and Wednesday, and remote all other days.
Redfin is revolutionizing the $75 billion real estate industry. We use data, beautiful software, and innovative design to put customers first at every step in the home-buying and selling process. Get ready to dive headfirst into our award-winning website and mobile apps, solving complex business problems in a highly visible, customer-centric way. If you value doing impactful work in a collaborative environment, join our team!
As a Senior Data Analyst within Partner Analytics, you&rsquo;ll work closely with product, program, and sales leadership to develop metrics, design strategies, and track the success or failure of our efforts. You&rsquo;ll draw on a wide variety of data sources, including some of the most complete and robust real estate data in the world, synthesizing insights which guide some of the most important decisions in our business.
The Role<ul><li>
Be a subject matter expert on Redfin&rsquo;s Partner Business Funnel</li><li>
Leverage your analytical expertise to deliver simple answers to complex, ambiguous questions.</li><li>
Excel at stakeholder communication and translating analytics findings into strategic action.</li><li>
Collaborate with team members across Brokerage and Partner analytics to review analyses, code, and dashboards to ensure high fidelity deliverables that answer the right questions.</li></ul>
Skills &amp; Experience<ul><li>
You have 5+ years of experience in building reports, tables, and performing multi-faceted business analysis and presentations</li><li>
You have 5+ years of SQL experience at a complex level</li><li>
Advanced Skillset with Tableau, R and/or Python</li><li>
You are a natural story teller. You know how to connect the dots and deliver concise messages (both written and verbal) to stakeholders that drive business decisions</li><li>
You understand the complexities and interactions between data sets, reports, tables, business groups, and how they impact the business objectives and outcomes</li><li>
You have a background in breaking down complex problems into simplified narratives for non-technical audiences</li><li>
Bachelor&rsquo;s degree or equivalent in statistics, computer science, or a related field</li><li>
Expertise using AI code generation tools tools such as Snowflake Intelligence and GitHub CoPilot highly desired</li><li>
Real Estate industry experience is highly desired</li></ul>
Illinois, Maryland, Minnesota, Massachusetts, Colorado, New York City, New Jersey, Jersey City, California, D.C. and Washington candidates only:
Base Pay Range: $98,700.00 - 147,800.00.
The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, 401K retirement plan, and paid time off. More information regarding these benefits and others can be found here. The information regarding compensation and other benefits included in this paragraph is only an estimate and is subject to revision from time to time as the Company, in its sole and exclusive discretion, deems appropriate. The Company may determine during its review of the proposed compensation and benefits provided for this position that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position.
#LI-Hybrid
Redfin is an equal opportunity employer committed to an inclusive workforce.
An inclusive culture is vital to Redfin's mission of making real estate better for people from all walks of life. We&rsquo;re proud that Redfin is a place where different points of view and backgrounds are encouraged and respected. We constantly strive to build a company that reflects the world around us, based on our conviction that pursuing and developing talent of all types is the right way for a business to thrive over the long haul.
Redfin provides equal employment opportunities to all employees and applicants for employment and prohibit discrimination based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, and any other characteristic protected by applicable federal, state or local law. If you need accommodation in the application or recruitment process because of a disability or special need, please contact recruitingteam@redfin.com
Redfin encourages individuals with criminal record histories to apply for employment and considers such individuals for employment consistent with the requirements of any applicable fair chance acts, including but not limited to the California, San Francisco and Los Angeles County Fair Chance Acts. Philadelphia applicants can access a copy of Philadelphia Fair Criminal Records Screening Standards ordinance poster here.
Redfin accepts applications on an ongoing basis.</div>

Senior Data Analyst, Partner Analytics

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Are you ready to turn data into decisions that shape one of Amazon's most iconic programs? 
The US Prime Finance team is looking for an analytically-driven Business Analyst who thrives at the intersection of data, storytelling, and strategy. A successful candidate will be a strategic thinker, highly analytical, comfortable with creating data driven narratives, customer obsessed, and have a willingness to navigate ambiguity. They must be comfortable contributing to plans presented to senior leadership (SVP level) as well as having a high bar for data fidelity. Your analysis won't just inform decisions, it will drive them. 
 
As an Business Analyst on the US Prime Finance team, you will own the analytical infrastructure that powers decision-making for Amazon's flagship membership program. You'll design and maintain reporting frameworks, surface actionable insights from complex datasets, and serve as a trusted analytical partner to cross-functional teams across US Prime, WW Prime, and Prime Benefits. Blending together financial and economic principles, a successful candidate requires an uncanny ability to work across stakeholder groups and evaluate tradeoffs between business focused requirements and technical limitations and priorities. 
 
Key job responsibilities 
<ul><li>Build and own reporting frameworks that track Prime membership performance, translating raw data into clear, executive-ready narratives for SVP-level audiences.</li><li>Conduct deep-dive analyses using internal and external data sources to identify trends, anomalies, and opportunities, synthesizing complex findings into concise, actionable takeaways.</li><li>Develop KPI frameworks for ambiguous or unmeasured business challenges, establishing clear success metrics that enable teams to track progress and drive accountability.</li><li>Design and maintain dashboards and automated reporting pipelines that reduce manual effort and increase the speed and reliability of business insights.</li><li>Partner with cross-functional teams &mdash; including Retail Stores, WW Prime, and Prime Benefits (Prime Video, Prime Gaming, Shipping) &mdash; to align on measurement standards and ensure consistency in how program performance is evaluated.</li><li>Lead automation initiatives for critical reporting processes, improving scalability and freeing capacity for higher-value analytical work.</li></ul> 
About the team 
The US Prime team is focused on delivering the most engaging, satisfying, and loved membership program that drives the Amazon flywheel by growing the member base and accelerating engagement with Prime benefits.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of tax, finance or a related analytical field experience</li><li>5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience</li><li>3+ years of business or financial analysis experience</li><li>Bachelor's degree or equivalent</li><li>Experience defining requirements and using data and metrics to draw business insights</li><li>Experience with Excel</li><li>Experience with SQL</li><li>Experience making business recommendations and influencing stakeholders</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in customer segmentation, customer behavior analysis, conjoint/trade-off modeling</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</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, VA, Arlington - 74,300.00 - 130,100.00 USD annually 
USA, WA, Seattle - 82,700.00 - 130,100.00 USD annually</div>

Business Analyst, US Prime

Amazon

<div>
 
 Description
 
 
 
 Are you looking for a role that allows you to shape the future of how sellers sell their products globally with Amazon? Do you like working in a start-up like environment with the opportunity to have a significant impact from day 1? Do you have an insatiable curiosity about why Amazon global stores operate as they do and how Amazon could optimize its global selling business? If so, then keep reading as this could be the role for you.
 
 
 Over 2MM active sellers in 22 countries (and growing) list their products for sale on the Amazon stores. Sellers are a critical part of Amazon&rsquo;s ecosystem to deliver on our vision of offering the earth&rsquo;s largest selection and lowest prices.
 
 
 
 About
 
 
 
 As a Business Analyst on Listing Analytics team, you will be responsible for bringing data to the table, specifically seller anecdotes and business metrics. The ideal candidate thrives in working in large and complex data warehouse environments, has excellent verbal and written communication skills, is motivated by developing innovative and simplified solutions to solve complex analytical problems and is passionate about working with large data sets and bringing data together to answer business questions and drive change. These analyses and solutions will be fundamental to finding opportunities and creating new programs aimed at further growing on Amazon stores. In this role you will:
 
 
 <ul>
 <li>
 Engage with leadership and diversified customer groups to understand the needs and recommend business intelligence solutions.
 </li>
 <li>
 Partner with engineering teams to define the data elements and data structures that the team should leverage to develop critical seller experience metrics.
 </li>
 <li>
 Design, implement, and support platforms that provide business teams ad-hoc access to large datasets for self service deep dives (eg: data visualization tools for non-tech business users)
 </li>
 <li>
 Interface with business customers, gather requirements and deliver complete reporting solutions.
 </li>
 <li>
 Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
 </li>
 <li>
 Participate in strategic &amp; tactical planning discussions
 </li>
 <li>
 Standardize data and report consumption across all customer groups.
 </li>
 <li>
 Make recommendations for new metrics, techniques, and strategies to improve the operational and quality metrics.
 </li>
 <li>
 Be connected and influential within the Amazon analytics community. Work with business intelligence engineer, data engineering, software development teams to enable the appropriate capture and storage of key data points.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 3+ years of tax, finance or a related analytical field experience
 </li>
 <li>
 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
 </li>
 <li>
 3+ years of business or financial analysis experience
 </li>
 <li>
 Bachelor's degree or equivalent
 </li>
 <li>
 Experience defining requirements and using data and metrics to draw business insights
 </li>
 <li>
 Experience with Excel
 </li>
 <li>
 Experience with SQL
 </li>
 <li>
 Experience making business recommendations and influencing stakeholders
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master's degree in business or analytical discipline
 </li>
 <li>
 Experience with data visualization using Tableau, Quicksight, or similar tools
 </li>
 <li>
 Experience in data mining (SQL, ETL, data warehouse, etc.) and using databases in a business environment with large-scale, complex datasets
 </li>
 <li>
 Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting
 </li>
 <li>
 Experience identifying opportunities to integrate AI solutions into products and services to drive business value
 
 
 </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, WA, Seattle - 82,700.00 - 130,100.00 USD annually
 
 
 
 
 Company
 
 - Amazon.com Services LLC
 
 
 Job ID: A3188383
</div>

Business Analyst, Listings

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. 
 
The Data, Insights, Science and Optimization, Consumer Product and Tech (DISCO CPT) team is looking for a Data Scientist to join a team of Data Scientists, Analytics Leads, Business Intelligence Engineers and Data Engineers who analyze big data, provide analytics and insights as well as build models and algorithms that power product for personalized experiences. The team focuses on accelerating Amazon Music customer growth by empowering Product teams to make sound, customer-centric decisions through data and insights. We build data pipelines, science models, self-service analytics, insights and dashboards, deliver engagement and retention at scale. In this role, you will pioneer and execute advanced analytics and experimentation efforts for the Amazon Music product team. You will work with stakeholders and partners to deliver experimentation insights, author scientific artifacts, build scalable models to advance our analytics and science products. The ideal candidate must be willing to effectively lead science solutions, prioritize across multiple stakeholders and projects and be ready to jump into a fast-paced, dynamic and fun environment. 
 
Key job responsibilities 
<ul><li>Data Scientist II on this role will be a thought partner to Product and Engineering organizations through their expertise in experimentation, statistical modeling and advanced analytics</li><li>Conceptualize and drive strategic growth areas: retention, voice + visual engagement, experimentation, Gen AI initiatives, and product excellence.</li><li>Bridge science, analytics, and engineering to deliver solutions informing strategic decisions on AM technology investments and long-term business performance</li><li>Drive experimentation, measurement efficiency tooling, and ROI tracking for AM leadership</li><li>Build and maintain causal models to understand customer sentiment and its impact on key engagement/retention metrics</li><li>Develop structural and predictive models using data science workflows to deliver measurable customer results</li></ul> 
A day in the life 
<ul><li>Lead strategic initiatives across visual and voice experiences, experimentation and customer retention stakeholders</li><li>Conduct experimentation, build causal models to better understand key drivers for customer retention
</li><li>Evaluate existing metrics and lead deep dives to ensure the right measurement framework is leveraged to measure and enhance user adoption through visual and voice interfaces</li><li>Partner with product managers to translate business questions into actionable science projects</li><li>Influence product roadmaps through data-driven insights on customer behavior patterns</li><li>Identify and resolve customer experience friction points with cross-functional teams</li><li>Drive adoption of best practices and innovative solutions across the organization</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree</li><li>2+ years of data scientist experience</li><li>3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>Experience applying theoretical models in an applied environment</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Knowledge of machine learning concepts and their application to reasoning and problem-solving</li><li>Experience in Python, Perl, or another scripting language</li><li>Experience in defining and creating benchmarks for assessing GenAI model performance</li><li>Experience applying quantitative analysis to solve business problems and making data-driven business decisions</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. 
 
Pursuant to the San Francisco 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, San Francisco - 157,300.00 - 212,800.00 USD annually 
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div>

Data Scientist, Amazon Music - DISCO

Data Scientist, Product Analytics

Opendoor

<div>
 
 Data Scientist, Pricing
 
 
 
 
 
 Location: Hyrbrid 4 onsite, 1 remote
 
 Seattle WA.
 
 
 
 Opendoor is transforming one of the largest, most complex markets in the world &mdash; residential real estate &mdash; using data at massive scale. Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how efficiently capital moves through our marketplace. The work is highly leveraged: the quality of our pricing decisions influences conversion, margins, customer trust, and the company&rsquo;s financial performance.
 
 
 We are looking for mid to senior level Data Scientists. In this role, you will be a core driver of how Opendoor prices real estate at scale. You&rsquo;ll operate at the intersection of economics, machine learning, experimentation, and product strategy &mdash; tackling ambiguity, shaping the pricing roadmap, and building models/analyses that materially move the business. Your insights will influence how we evaluate millions of dollars of housing inventory &mdash; and directly shape outcomes for our customers, our balance sheet, and the health of our marketplace.
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 <ul>
 <li>
 Build and maintain pricing metrics, dashboards, and frameworks.
 </li>
 <li>
 Run experiments and causal analyses to measure impact and drive decisions.
 </li>
 <li>
 Develop predictive + statistical models that improve pricing accuracy.
 </li>
 <li>
 Partner closely with Product, Engineering, and Operations teams to influence roadmap and model deployment.
 </li>
 <li>
 Deliver insights and narratives that inform executive strategy.
 
 
 
 </li>
 </ul>
 
 Skills &amp; Qualifications
 
 
 
 
 <ul>
 <li>
 Deep statistical reasoning: hypothesis design, experimental design, causal inference, and ability to distinguish signal vs noise.
 </li>
 <li>
 Proven end-to-end ML ownership: data acquisition, feature engineering, model development, validation, deployment, and ongoing monitoring.
 </li>
 <li>
 Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g., Spark, Airflow, Ray, SageMaker, Vertex, etc.).
 </li>
 <li>
 Demonstrated ability to translate complex analytical findings into clear business recommendations and influence cross-functional decision-making.
 </li>
 <li>
 Experience working with ill-defined problems and driving clarity on problem definition, success metrics, and realistic tradeoffs.
 </li>
 <li>
 High data-quality bar: disciplined approach to validation, bias analysis, and making decisions rooted in evidence vs intuition.
 </li>
 <li>
 Effective communicator &mdash; able to tell the story behind the model to both highly technical and non-technical audiences.
 </li>
 <li>
 8+ years of experience in data science, product analytics, or a similar quantitative role.
 
 
 
 </li>
 </ul>
 
 Base salary range for this role varies. Generally, the base salary range is $186,000 &ndash; $256,000 annually + RSUs + ESPP + additional employee benefits (medical/dental/vision, life insurance, unlimited PTO, 401K).
 
 
 
 #
 
 
 At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We&rsquo;ve built an end-to-end online experience that has already helped thousands of people and we&rsquo;re just getting started.
 
 
</div>

Data Scientist

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