applications scientist

Beckman Coulter Life Sciences

<div>Bring more to life. 
Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?
At Beckman Coulter Life Sciences, one of Danaher&rsquo;s 15+ operating companies, our work saves lives&mdash;and we&rsquo;re all united by a shared commitment to innovate for tangible impact. 
You&rsquo;ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher&rsquo;s system of continuous improvement, you help turn ideas into impact &ndash; innovating at the speed of life. 
At Beckman Coulter Life Sciences, we know time is the most critical facet in the laboratory today: time to get life-saving therapies to patients faster; reclaiming time by automating tedious manual workflows; and saving time spent addressing erroneous or complex results.
We are partners in time and accelerate answers to critical questions through the power of automation. We develop innovations for scientists by scientists, with many of our 3,300+ global colleagues coming from the laboratory. 
It&rsquo;s all part of our time-tested approach to bringing meaningful innovations at the speed of life since 1935. And we&rsquo;re just beginning. Working together, let&rsquo;s put our time and talents together to advance human health for tomorrow.
Learn about the Danaher Business System which makes everything possible.
This position reports to the Head of Application Science and is part of the Product Management team and will be an on-site role in Loveland, CO; Indianapolis, IN or Miami, FL.
In this role, you will have the opportunity to:<ul><li>
Support application development and launch Including Experiments design based on user workflows&mdash;internally and with external collaborators in academia and industry.</li><li>
Enable customer &amp; field associates worflows with product workshops, training, as well as demo concepts tailored to different customer need</li><li>
Lead application and product communication internally and externally as a subject matter expert</li><li>
Manage the applications lab and ensure equipment is maintained and ready for testing and demos adhering to company policies and procedures.</li></ul>
The essential requirements of the job include:<ul><li>
Extensive experience in high-complexity flow cytometry assay development and data analysis. Experience with Spectral flow cytometry. Experience with imaging flow cytometry is a bonus.</li><li>
Excellent communication skills&mdash;able to translate complex data into clear, actionable insights.</li><li>
Experience working cross-functionally with product, marketing, and commercial teams.</li><li>
Comfortable managing multiple projects and shifting priorities.</li><li>
Previous experience in customer-facing roles or collaborations is a plus.</li></ul>
Travel, Motor Vehicle Record &amp; Physical/Environment Requirements:<ul><li>
Ability to travel up to 40%, including customer, cross-functional team meetings, and international travel.</li><li>
No additional physical lifting or environmental requirements anticipated.</li></ul>
At Beckman Coulter Life Sciences we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Beckman Coulter Life Sciences can provide.
The annual salary range OR the hourly range for this role is $120,000-$160,000. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future.
This job is also eligible for bonus/incentive pay.
We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.
Join our winning team today. Together, we&rsquo;ll accelerate the real-life impact of tomorrow&rsquo;s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
For more information, visit www.danaher.com.</div>

Senior Applications Scientist – Flow Cytometry

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to ensure the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems. 
 
Key job responsibilities 
As part of the AGI team, an Applied Scientist will collaborate closely with core scientist team developing Amazon Nova models. They will lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. This includes designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks. The Applied Scientist will perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities. A critical aspect of this role involves developing and maintaining LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Scientist will also set up the configuration of data collection workflows and communicate quality feedback to stakeholders. An Applied Scientist will also have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services. 
 
A day in the life 
An Applied Scientist with the AGI team will support quality solution design, conduct root cause analysis on data quality issues, research new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. Besides theoretical analysis and quality framework development, an Applied Scientist will also work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience implementing algorithms using both toolkits and self-developed code</li><li>Have publications at top-tier peer-reviewed conferences or journals</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, MA, Boston - 136,000.00 - 184,000.00 USD annually 
USA, WA, BELLEVUE - 136,000.00 - 184,000.00 USD annually</div>

Applied Scientist, Artificial General Intelligence

Pixalate, Inc.

<div><h1 class="jobSectionHeader">Applied AI Scientist</h1>
Employment Type: Full-Time 
Location: Remote, Pakistan 
Level: Mid to Senior (PhD Required)<h2 class="jobSectionHeader">
About the Role</h2>
We're looking for a quantitatively-strong data professional who can bridge rigorous statistical thinking with hands-on AI development. You'll work across Pixalate's full product suite &mdash; trust &amp; safety, ad fraud detection, brand safety, and more &mdash; using your background in statistics and ML to build intelligent agents and automated pipelines that keep our data accurate, our models honest, and our products reliable.
This role is for someone who understands data deeply and can translate that into working AI systems that do the checking, flagging, and quality assurance at scale.
Responsibilities<ul><li>
Analyze traffic, behavioral, and signals data to identify patterns, anomalies, and data quality issues</li><li>
Translate complex quantitative findings into clear, actionable recommendations for engineering, product, and cross-functional teams</li><li>
Design and maintain AI agents, dashboards and reporting pipelines to track data quality, trends, and product health over time</li></ul><ul><li>
Partner with engineering and product teams to ensure data quality and integrity across product pipelines</li><li>
Collaborate with AI/ML teams to close the feedback loop between QA findings and model improvements</li><li>
Support data needs across Pixalate's product portfolio &mdash; including supply-side intelligence, MFA detection, seller/app ratings, and compliance-related products</li></ul>
What We're Looking For
Must-Have<ul><li>
PhD in Statistics, Mathematics, Data Science, Computer Science, or a related quantitative field</li><li>
3&ndash;6 years of experience in a data science, ML, or data analytics role</li><li>
Strong statistical foundation &mdash; you understand distributions, hypothesis testing, model evaluation, and where things go wrong</li><li>
Hands-on experience building with LLMs and AI agents, including prompt engineering, tool use, and designing agentic workflows using existing frameworks (e.g. LangChain, LlamaIndex, CrewAI, AutoGen, or similar)</li><li>
Proficiency in Python and SQL</li><li>
Ability to think critically about data quality and model outputs &mdash; you're naturally skeptical and rigorous</li><li>
Clear written and verbal communication skills</li></ul>
Nice-to-Have<ul><li>
Prior experience in cybersecurity, fraud detection, trust &amp; safety, or digital advertising ecosystems</li><li>
Exposure to multi-agent orchestration patterns</li><li>
Comfort working in fast-moving environments with evolving product requirements</li></ul>
We're particularly interested in candidates who can demonstrate both theoretical depth and practical implementation skills. Show us how your research can transform the landscape of online trust and safety. 
 
Pixalate is an online trust and safety platform that protects businesses, consumers and children from deceptive, fraudulent and non-compliant mobile, CTV apps and websites. We're seeking a PhD-level AI Engineer to lead cutting-edge research in agentic AI systems, multimodal analysis, and advanced reasoning architectures that will directly impact millions of users worldwide. 
Our software and data have been used to unearth multiple high profile criminal and illegal surveillance cases including:<ul><li>
Gizmodo: An iCloud Feature Is Enabling a $65 Million Scam, New Research Says</li><li>
Adweek: A 7-Figure Ad Fraud Scheme Running on Roku Underlines Murkiness of CTV</li><li>
Washington Post: Your kids&rsquo; apps are spying on them</li><li>
Pro Publica: Porn, Piracy, Fraud: What Lurks Inside Google&rsquo;s Black Box Ad Empire</li><li>
ABC7 News: The State of Children's Privacy Online</li><li>
NBC News: How many apps are tracking your children</li></ul>
Our team of lawyers, data scientists, engineers, economists and researchers span globally with presence in California, New York, Washington DC, London and Singapore.<h1 class="jobSectionHeader">
Pixalate is an equal opportunity employer committed to building a diverse team. We particularly encourage applications from underrepresented groups in AI research.</h1>
XQZue0wI6K</div>

Applied AI Scientist (PhD Required)

Presight

<div>
 
 
 
 About Presight
 
 
 
 
 
 
 
 Presight is an ADX-listed public company with Abu Dhabi based G42 as its majority shareholder and is the region&rsquo;s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of GenAI-driven products and solutions, Presight is bringing Applied AI to the private and public sector, enabling them to realize their AI strategy and ambitions faster.
 
 
 
 
 
 
 
 Position Overview
 
 
 
 
 
 
 
 We are looking for a highly skilled Applied Scientist to join our company. In this role, you will design, create, and implement various Machine Learning and Computer Vision models for Smart Cities and IoT platforms. As a part of Data Science R&amp;D team, you will work closely with an agile team as a champion of users to ensure AI use cases are implemented right. You will work closely with product manager to understand user requirements and translate them into a Machine learning models for developers and Engineers.
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 &middot; Research, design, develop, implement, and optimize algorithms and software solutions to solve complex computer vision problems
 
 
 &middot; Create code that is elegant and maintainable
 
 
 &middot; Take accountability for solutions that are modular and testable. Have pride for building unit and regression testing to prove that your code and solutions truly work.
 
 
 &middot; Work closely with software engineering and product development teams on tech selections and solutions.
 
 
 &middot; When necessary, debug, optimize and aspire to make things pixel perfect. Be willing to spend time in making things truly amazing, not just great.
 
 
 &middot; Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management, and Governance of Organizations policies, procedures, plans, and related risk assessments.
 
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 o Bachelor degree in Computer Science, Applied Mathematics, or other Engineering disciplines in related fields or equivalent work experience.
 
 
 Experience:
 
 
 o 5+ years of professional R&amp;D experience in Computer Vision, Digital Image Processing, and/or Machine Learning
 
 
 Skills:
 
 
 o Experience in training and evaluating models using TensorFlow and Pytorch
 
 
 o Experience with training large-scale systems on large data sets
 
 
 o Fluent in C/C++ and Python with over 4 years of experience
 
 
 o Track record of shipping working code and solutions based on your contributions
 
 
 o Team player, ability to perform in cross functional teams and to share knowledge to others
 
 
 o Good communication skills in English
 
</div>

Applied Scientist

<div>
 
 Overview
 
 
 
 About Presight
 
 
 Presight is an ADX-listed public company with Abu Dhabi based G42 as its majority shareholder and is the region&rsquo;s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of GenAI-driven products and solutions, Presight is bringing Applied AI to the private and public sector, enabling them to realize their AI strategy and ambitions faster.
 
 
 Position Overview
 
 
 We are looking for a highly skilled Applied Scientist to join our company. In this role, you will design, create, and implement various Machine Learning and Computer Vision models for Smart Cities and IoT platforms. As a part of Data Science R&amp;D team, you will work closely with an agile team as a champion of users to ensure AI use cases are implemented right. You will work closely with product manager to understand user requirements and translate them into a Machine learning models for developers and Engineers.
 
 
 
 Responsibilities
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Research, design, develop, implement, and optimize algorithms and software solutions to solve complex computer vision problems
 </li>
 <li>
 Create code that is elegant and maintainable
 </li>
 <li>
 Take accountability for solutions that are modular and testable. Have pride for building unit and regression testing to prove that your code and solutions truly work.
 </li>
 <li>
 Work closely with software engineering and product development teams on tech selections and solutions.
 </li>
 <li>
 When necessary, debug, optimize and aspire to make things pixel perfect. Be willing to spend time in making things truly amazing, not just great.
 </li>
 <li>
 Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management, and Governance of Organizations policies, procedures, plans, and related risk assessments.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor degree in Computer Science, Applied Mathematics, or other Engineering disciplines in related fields or equivalent work experience.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 5+ years of professional R&amp;D experience in Computer Vision, Digital Image Processing, and/or Machine Learning
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 Experience in training and evaluating models using TensorFlow and Pytorch
 </li>
 <li>
 Experience with training large-scale systems on large data sets
 </li>
 <li>
 Fluent in C/C++ and Python with over 4 years of experience
 </li>
 <li>
 Track record of shipping working code and solutions based on your contributions
 </li>
 <li>
 Team player, ability to perform in cross functional teams and to share knowledge to others
 </li>
 <li>
 Good communication skills in English
 </li>
 </ul>
</div>

Adobe

Adobe Firefly’s ASML group invites research scientists and engineers passionate about conditional generation and editing of large generative AI models. This role emphasizes images and videos. We strive to advance generative AI technology while guaranteeing models possess excellent quality and control.
 We are especially looking for candidates experienced in large-scale, industry-level pre-training and mid-training of multi-modality generative models. This role has a direct effect on the quality of Adobe’s image and video generation models, supporting next-generation creative workflows for millions of users.
 As an Applied Scientist at Adobe, you will join a world-class team of applied researchers and engineers building the future of digital experiences. You will have the opportunity to innovate across the full training stack, collaborate across data, modeling, and product, and see your work ship to customers worldwide.
 Job Responsibilities
 <ul>
<li>Conduct innovative research and development in training large-scale generative AI models for image and video synthesis.</li>
<li>Develop, carry out, and carefully assess sophisticated techniques for conditional generation and editing. Emphasize improving instruction compliance, controllability, and visual clarity in pre-trained image and video models.</li>
<li>Collaborate cross-functionally with researchers, engineers, and product teams to translate multimodal innovations into scalable downstream applications coordinated within Adobe products.</li>
<li>Develop and maintain robust evaluation pipelines to assess generative models across quality, efficiency, robustness, and safety metrics.</li>
<li>Translate research concepts and published work into production-ready implementations using Python and modern machine learning frameworks.</li>
</ul>
What you'll need to succeed
 <ul>
<li>Possession of a Master’s or Ph.D. degree in Computer Science, Machine Learning, or a related field.</li>
<li>Extensive practical experience in large-scale generative AI training concentrating on image and video generation and editing.</li>
<li>Familiarity with diffusion models, transformers, or other brand new generative architectures.</li>
<li>Excellent communication skills and ability to collaborate across cross-functional teams.</li>
<li>Strong coding and prototyping ability in Python, PyTorch, and ML infrastructure tools.</li>
<li>Working with product teams on technology transfers.</li>
<li>Strong history of publishing in Computer Science, AI/ML, or related areas.</li>
</ul>
About Adobe
 Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. 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.
 
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
 
Let’s Adobe together
 At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
 
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
 
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
 
AI Use Guidelines for Interviews: 
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
 
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .
 
Expected Pay Range: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $120,700 -- $238,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
 
In California, the pay range for this position is $164,800 - $238,600
 
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
 
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
 
State-Specific Notices: 
California : 
Fair Chance Ordinances
 Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
 
Colorado: 
Application Window Notice
 
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
 
Massachusetts: 
Massachusetts Legal Notice
 It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Uber

<div>About the Role
 
 
As an Applied Scientist on the incrementality foundations team within marketing measurement, you will contribute to Uber Marketing Org's commitment to science-backed decision making. This team is responsible for building experiment forms, models, &amp; processes for turning complex hypotheses into reliable, actionable incrementality signals that inform planning, forecasting, and investment decisions across the business. Your work will focus on building robust processes for interpreting measurement data, building foundational models for estimation &amp; inference, and researching experimentation best practices for accurate and complete incrementality measurement. Your work will inform smarter investment and decision-making systems across Uber's Brand and Performance Marketing. This team sits close to production systems, partnering with Product, Engineering, and cross-functional Science teams to ensure incrementality measurement is rigorous, scalable, and decision-ready
 
 
What the Candidate Will Need / Bonus Points
<ul><li>Develop and apply statistical and causal inference models to estimate the incremental impact of marketing across channels, markets, and test designs.
</li><li>Design custom tests &amp; analyze results from complex experiments, including multi-cell, market-level, and longitudinal tests.
</li><li>Contribute to foundational modeling efforts such as hierarchical smoothing, aggregation across tests, and handling of low-signal or sparse data.
</li><li>Assist in research on advanced topics, including learning elasticity with experiments and analyzing event relationships to improve experiment accuracy and interpretation.
</li><li>Partner with Product and Engineering to integrate incrementality models into reporting and decision-making workflows
</li><li>Research and help establish best practices for experiment design, post-analysis interpretation, and measurement tradeoffs.
</li><li>Collaborate with other Applied Science and Data Science teams to align incrementality outputs with broader measurement and investment frameworks.
</li></ul>Basic Qualifications
<ul><li>Bachelor's degree or higher in a quantitative field such as Statistics, Economics, Mathematics, Computer Science, or a related discipline.
</li><li>2+ years of experience applying statistical and causal inference methods to real-world data in an applied setting.
</li><li>Strong foundation in statistical modeling, hypothesis testing, and experimental design, including A/B testing, incrementality, or quasi-experimental methods.
</li><li>Hands-on experience designing, analyzing, and interpreting experiments, including evaluation of uncertainty, limitations, and tradeoffs.
</li><li>Proficiency in Python or R and SQL for analyzing and modeling large, complex datasets.
</li><li>Experience working with marketing, growth, advertising, or similar business domains where measurement and investment decisions are central.
</li><li>Ability to clearly communicate analytical insights to technical and non-technical stakeholders and collaborate effectively in cross-functional teams.
</li><li>Demonstrated ability to collaborate effectively in cross-functional, fast-moving environments.
</li></ul>Preferred Qualifications
<ul><li>Bachelor's, Master's or PhD in a quantitative discipline (e.g., Statistics, Economics, Mathematics, Computer Science), or equivalent applied industry experience.
</li><li>Experience with advanced statistical or modeling techniques such as hierarchical / multi-level models, time-series analysis, or meta-analysis.
</li><li>Experience with incrementality testing, geo-experiments, or marketing measurement use cases (e.g., attribution, MMM, or related frameworks).
</li><li>Familiarity with marketing investment concepts such as elasticity, budget allocation, or cross-channel tradeoffs.
</li><li>Experience contributing to shared codebases or production-adjacent analytics systems, including collaboration with Product or Engineering partners.
</li><li>Ability to independently drive scoped projects end-to-end with guidance, and operate effectively in ambiguous or evolving problem spaces.
</li>Curiosity and learning mindset, with demonstrated ability to ramp quickly on new domains, tools, or methodologies. 
<li>
</li></ul> 
 
For New York, NY-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Applied Scientist, Marketing Measurement

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Senior Applications Scientist – Flow Cytometry

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Applied Scientist, Marketing Measurement