product data scientist

Data Scientist, Product Analytics

<div>
 We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
 
 
 Data Scientist, Analytics (Technical Leadership) Responsibilities:
 
 
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 Work with complex data sets to solve challenging problems using analytical and statistical approaches
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 Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies
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 Identify and measure success through goal setting, forecasting, and monitoring key metrics
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 Partner with cross-functional teams to inform and execute product strategy and investment decisions
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 Build long-term vision and strategy for programs and products
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 Collaborate with executives to define and develop data platforms and instrumentation
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 Effectively communicate insights and recommendations to stakeholders
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 Define success metrics, forecast changes, and set team goals
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 Support developing roadmaps and coordinate analytics efforts across teams
 
 
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 </ul>
 Minimum Qualifications:
 
 
 <ul>
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 Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
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 Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
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 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
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 Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance
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 Experience with predictive modeling, machine learning, and experimentation/causal inference methods
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 Experience communicating complex technical topics in a clear, precise, and actionable manner
 
 
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 </ul>
 Preferred Qualifications:
 
 
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 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy
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 Masters or Ph.D. Degree in a quantitative field
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 Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)
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 10+ years of experience doing complex quantitative analysis in product analytics
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 Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
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 Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
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 Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
 
 
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 </ul>
 About Meta:
 
 
 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
 
 
 Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 
 
 Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
 
 
 $210,000/year to $281,000/year + bonus + equity + benefits
 
 
 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
</div>

Data Scientist, Analytics (Technical Leadership)

Intuit

<div><h2 class="jobSectionHeader">Overview</h2>
Intuit enables millions of small and mid-sized businesses to grow through marketing automation and customer intelligence. As we accelerate toward becoming an AI-driven platform, Product Data Science must evolve to operate at a new level of technical sophistication, scale, and strategic influence. 
We are seeking a Principal Data Science Leader to partner with the leadership team and lead the AI transformation of the Product Data Science organization. This leader will modernize how data science is practiced by advancing modeling capabilities, experimentation rigor, generative AI adoption, and scalable decision systems while driving measurable revenue, growth, and expert network outcomes. 
This role requires a proven track record of building durable data science capabilities and production-grade solutions, not just delivering analyses. The ideal candidate will elevate the craft across the organization, establish higher technical standards, and position data science as a strategic force multiplier for product, growth, and expert performance. 
Responsibilities
Strategic Leadership<ul><li>
Define and lead the multi-year vision for Product Data Science, aligning AI, modeling, and experimentation investments with product strategy and measurable business outcomes.</li><li>
Partner with Data Science leadership to transform the function into an AI-native organization by modernizing tools, workflows, technical standards, and scalable decision systems.</li><li>
Outcome-Driven Product Impact</li><li>
Own revenue and growth accountability for data science-driven initiatives, ensuring modeling, experimentation, and AI investments are directly tied to measurable business outcomes and prioritized for maximum impact.</li><li>
Lead the rapid development and deployment of predictive models, causal inference frameworks, and LLM-enabled solutions, leveraging modern AI tools to accelerate learning velocity and reduce time from insight to decision.</li><li>
Drive a high-speed experimentation culture, balancing rigor with agility, so teams continuously test, learn, and iterate. Translate insights into scalable impact with clear post-launch accountability.</li></ul> 
Expert Optimization<ul><li>
Build and own the data science framework for expert optimization: connecting expert skill signals, product and tool usage patterns, and downstream performance outcomes into a unified model of expert quality and capacity.</li><li>
Develop skill-to-outcome models that link expert proficiency across product domains (tool adoption, workflow adherence, knowledge depth) to measurable service quality metrics, enabling targeted coaching, routing, and capacity decisions.</li><li>
Partner with Expert Network and Operations leadership to translate expert behavioral signals (product usage patterns, interaction telemetry, knowledge assessments) into actionable intelligence. Identify which skills drive quality outcomes, which tool gaps create friction, and how to close both at scale.</li><li>
Design and scale experimentation frameworks to rigorously measure the causal impact of training interventions, tooling changes, and product investments on expert performance outcomes such as resolution quality, customer satisfaction, and proficiency scores.</li><li>
Build expert lifecycle analytics from onboarding through proficiency attainment, identifying acceleration levers and friction points that predict long-term performance and retention.</li><li>
Partner with product teams to close the loop between product and tool design and expert outcomes, surfacing where underutilization or misuse of tooling is suppressing quality and feeding those signals back into roadmap decisions.</li></ul> 
Capability Building and Craft Elevation<ul><li>
Champion and scale durable Product Data Science capabilities by establishing rigorous standards across modeling, experimentation, model governance, and AI-enabled workflows. Raise the technical bar through structured reviews, reusable frameworks, and clear quality benchmarks.</li><li>
Accelerate adoption of modern AI tools, LLMs, and automation to increase productivity, technical depth, and organizational leverage across the Data Science team.</li><li>
Mentor, develop, and retain top data science talent by fostering a culture of ownership, technical excellence, and continuous learning.</li></ul> 
Qualifications<ul><li>
10+ years of experience in Product Data Science with a demonstrated track record of personally building, shipping, and scaling high-impact models and experimentation frameworks that drove measurable revenue and growth outcomes.</li><li>
Proven experience transforming data science practices, establishing modeling standards, experimentation rigor, reusable frameworks, and AI-native workflows across teams.</li><li>
Deep technical expertise in SQL and Python, with strong command of statistical modeling, causal inference, experimentation design, and machine learning at production scale.</li><li>
Hands-on experience applying LLMs and modern AI tooling to accelerate insight generation, modeling workflows, and decision velocity.</li><li>
Demonstrated ability to influence senior cross-functional leaders and drive strategic outcomes without direct authority.</li><li>
Strong mentorship track record, with evidence of elevating senior data scientists and raising the technical bar of an organization.</li><li>
Master's degree or higher in Statistics, Computer Science, Economics, Applied Mathematics, Machine Learning, or a related quantitative field.</li><li>
Deep understanding of growth science, customer lifecycle value, segmentation, and personalization at scale.</li><li>
Experience productionizing AI-driven decision systems in complex product ecosystems.</li><li>
Familiarity with multi-product ecosystems and cross-sell and attach strategies within platform businesses.</li><li>
Experience building behavioral analytics or skill and performance optimization systems in marketplace, gig, or expert network contexts, connecting workforce supply-side signals to customer demand-side outcomes.</li><li>
Prior work with human-in-the-loop AI systems where expert or agent quality is a lever for product performance.</li></ul> 
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:<div>
Bay Area California $ 247,500- 335,000</div><div>
Southern California $ 241,000- 326,500</div></div>

Principal Data Scientist - Expert Optimization, ICS Data Science

Openkyber

<div>Data Scientist Measurement Framework Developer (Statistical &amp; Causal Inference) Location: Remote (Candidates must be located in EST or CST time zones ) Duration: 6-month W2 Contract Pay Rate: $50 $62/hour depending on experience Employer: OpenKyber (supporting a leading enterprise retail client) About the Role OpenKyber is supporting a major enterprise retail organization in hiring a Data Scientist with strong expertise in statistical inference and causal analysis to develop scalable measurement frameworks for enterprise solutions. This role is ideal for someone passionate about experimental design, causal inference, and data-driven decision making , who enjoys building robust frameworks to measure product and business impact.
Key Responsibilities:
<ul><li>Design and implement measurement frameworks for solutions deployed in production environments.</li>
<li>Apply statistical inference and causal methods such as A/B testing, propensity score matching, and instrumental variables.</li>
<li>Develop and analyze controlled experiments and observational studies to evaluate impact.</li>
<li>Collaborate with cross-functional stakeholders to define KPIs and measurement strategies .</li>
<li>Write clean, reproducible code for statistical analysis and reporting.</li>
<li>Implement CI/CD principles and manage code repositories using GitHub Enterprise .</li>
</ul>Required Qualifications:
<ul><li>Strong understanding of hypothesis testing, OLS, GLM, and causal inference techniques .</li>
<li>Proficiency in Python and SQL .</li>
<li>Experience with Python libraries such as statsmodels, scikit-learn, DoWhy, and linearmodels .</li>
<li>Hands-on experience with A/B testing and experimental design .</li>
<li>Familiarity with Databricks or similar enterprise cloud environments .</li>
<li>Ability to work independently with a strong ownership mindset .</li>
</ul>Preferred Qualifications:
<ul><li>Experience in retail, inventory management, or operations research .</li>
<li>Exposure to cloud platforms such as Azure, AWS, or Google Cloud Platform .</li>
</ul>OpenKyber offers eligible employee's comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life &amp; disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.
For applications and inquiries, contact: hirings@openkyber.com</div>

OCI Cloud Operations Associate

Amazon.com

<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

Uber

<div>
 
 Employer:
 
 Uber Technologies, Inc.
 
 
 
 Job Title:
 
 Sr Data Scientist, Tech
 
 
 
 Job Location:
 
 New York, New York
 
 
 
 Job Type:
 
 Full Time
 
 
 
 Rate of Pay:
 
 $261,248 to $313,498 per year
 
 
 You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits .
 
 
 
 Duties:
 
 Build prototype software solutions to automate business processes to drive operational efficiency. Leverage data to understand business problems and opportunities for automation, enabling teams to action levers that drive incremental business value without increasing manual burden. Conduct architecture and code reviews with Engineering teams to enable prototype solutions through internal and external APIs, finding opportunities to apply new AI technologies and tools. Monitor and track performance of automated activities to ensure business continuity and re-assess relevance periodically, and move beyond the prototype stage where relevant in partnership with Engineering and Product teams. Manage an in-person team that carries out similar duties as above, and oversee a remote team of analysts that create dashboards and reports to communicate results and monitor key metrics, through analysis and building data pipelines. Develop end-to-end solutions to abstract business and engineering problems related to funnel optimization, user engagement, and user experience. Supervise at least 1 Data Scientist / 15-2051; Data Scientists. May telecommute.
 
 
 Employer will accept a Bachelor's degree in Business, Economics, Engineering (Any), Data Science, Analytics, Computer Science, or related field, followed by five years of progressive, post-baccalaureate experience in the job offered or in a related occupation.
 
 
 
 Position Requires
 
 
 
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 R or Python;
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 SQL;
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 Designing and overseeing data products, analytics, and automation solutions;
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 Leading technical teams in automation, analytics, or data science;
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 Developing end-to-end prototype solutions to automate business processes and improve efficiency;
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 Identifying opportunities for business and operation optimization and efficiency;
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 Machine learning and AI capabilities and identifying use cases to drive automation;
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 Deploying code and developing best practices for automation capabilities.
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</div>

Sr Data Scientist, Tech

<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, AGI Data Services

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