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data engineer ii - quantumblack, ai by mckinsey Jobs in New York

senior data scientist

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Mountain View, CA, USA; New York, NY, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>PhD degree in Computer Science, a related field, or equivalent practical experience.
<br>
</li><li>2 years of experience leading a research agenda.
<br>
</li><li>One or more scientific publication submission(s) for conferences, journals, or public repositories.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>2 years of coding experience.
<br>
</li><li>1 year of experience leading research efforts and influencing other researchers.<br>
</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.</p><p>
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.</p>
<p>
Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we&rsquo;re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.</p><p>
The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
</p><p>Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Author research papers to share and generate impact of research results across function and in the research community.<br>
</li>
<li>Help in growing research business by sharing research trends and best practices within the community.<br>
</li>
<li>Drive project work by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.<br>
</li>
<li>Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research.<br>
</li>
<li>Identify defined problems/gaps in existing technology and engage stakeholders and leaders to address them.<br>
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Research Scientist, Google Research

Uber

<div><b>About the Role
</b><br>
<br>
Scientists at Uber use data to improve and automate all aspects of Uber's core rideshare and delivery products. You will be joining the Delivery team, which owns all aspects of our delivery experience - from eaters, couriers to merchants!
<br>
<br>
We are looking for experienced candidates with a passion for solving new and difficult problems with data. In this role, you will be able to utilize your strong quantitative skills to improve the Uber delivery experience as well as the overall marketplace performance.
<br>
<br>
<b>About the Team (We are hiring for multiple teams)
</b><br>
<br>
We are building the most preferred online delivery platform globally and driving innovation across a number of areas including:
<ul><li><b>Fulfillment: </b>Delivery is the core of our product. We carefully refine a living and breathing marketplace to balance long run outcomes with the everyday experiences of our customers and couriers.
</li><li><b>Consumer: </b>We help users all over the world find what they need on UberEats. To do so we build state of the art recommendation systems and novel user experiences to help users discover the selection around them.
</li><li><b>Ads: </b>Ads is one of the fastest growing lines of businesses at Uber. We work on end-to-end experience across lines of business, from enrolling advertisers, to designing auction and bidding, and integrating ads into the user experience.
</li><li><b>Offer: </b>We optimize merchant offers, by identifying the optimal selection to make the platform affordable to consumers, by innovating on pricing models to align incentives, and by maximizing return for merchants through targeting.
</li><li><b>Merchant: </b>Dedicated to optimizing merchant experience and driving merchant success at every stage of their lifecycle. We drive strategic and product decisions that expand merchant selections and maximize the value merchants bring to our marketplace.
</li></ul><b>What You'll Do
</b><ul><li>Solve ambiguous, challenging business problems using data-driven approaches, including ML, Optimization, and Causal Inference.
</li><li>Develop and implement statistical/econometric methodologies to improve results validity, power and generalizability.
</li><li>Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives.
</li><li>Design and analyze experiments, present results that provide actionable recommendations.
</li><li>Orient the teams around data-driven product development by driving the creation of logging, metrics, data visualization and diagnostic tools, and experimentation paradigms.
</li><li>Define how our teams measure success, by developing metrics, in close partnership with cross-functional partners.
</li><li>Owning the product development cycle end-to-end from data and science aspects.
</li></ul><b>Basic Qualifications
</b><ul><li>Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields.
</li><li>Minimum 4 years of industry experience as an Applied or Data Scientist or equivalent (2+ years if holding a Ph.D.)
</li><li>Experience in experimental design and analysis, exploratory data analysis and statistical analysis.
</li><li>Ability to use Python/R to work efficiently at scale with large data sets.
</li></ul><b>Preferred Qualifications
</b><ul><li>Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment.
</li><li>Expertise in synthesizing complex technical analyses into clear insights to influence product direction.
</li><li>Excellent communication skills across technical, non-technical, and executive audiences.
</li>Experience within a Delivery or Ecommerce business.<br>
<li>
</li></ul><br>
<br>
For New York, NY-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 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>

Senior Scientist, Delivery (Multiple Teams)

Plaid

<div>
 We believe that the way people interact with their finances will drastically improve in the next few years. We&rsquo;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid&rsquo;s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.
 <br/>
 <br/>
 The Data team within Plaid&rsquo;s Fraud organization builds the machine learning systems that power Plaid&rsquo;s newest fraud detection products, leveraging the breadth of Plaid&rsquo;s network data to stop fraud before it occurs. We manage the full lifecycle of these systems&mdash;from feature pipeline development and model training to deployment, serving, and monitoring&mdash;ensuring our solutions scale reliably as we grow to support hundreds of customers.
 <br/>
 <br/>
 As a Data Scientist on Plaid&rsquo;s Fraud Data team, you will analyze customer and network traffic to understand how Protect performs across different segments and use cases. You&rsquo;ll build dashboards and performance metrics that create a clear, shared view of product health for both the team and our go-to-market partners. You will run backtests on customer traffic to evaluate model and rule performance, uncover high-value opportunities, and generate insights that support sales motions and customer expansion. You&rsquo;ll also design the underlying data models and schemas that enable efficient, reliable analysis and reporting. In close partnership with Product and Engineering, you will help design and evaluate experiments that shape new customer-facing features and inform the future of our fraud products.
 <br/>
 <br/>
 ***We are open to remote candidates***
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work at the intersection of product analytics, machine learning, and fraud/risk to drive meaningful product improvements.
  </li>
  <li>
   Own the metrics, dashboards, and experimentation frameworks that inform product strategy and decision-making.
  </li>
  <li>
   Analyze complex datasets to uncover clear, actionable insights that shape product direction.
  </li>
  <li>
   Partner with go-to-market teams to demonstrate the technical and business value of our products to customers.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3&ndash;5 years of total experience, including at least 2&ndash;3 years working deeply with product analytics, experimentation, or data-driven products.
  </li>
  <li>
   Strong proficiency in SQL and Python.
  </li>
  <li>
   Hands-on experience with product analytics, experimentation frameworks, or backtesting methodologies.
  </li>
  <li>
   Skilled in designing, building, and maintaining dashboards and core product performance metrics.
  </li>
  <li>
   Capable of designing and interpreting backtests or offline evaluations for ML and rules-based systems.
  </li>
  <li>
   Excellent communicator with strong stakeholder-management skills across diverse teams.
  </li>
  <li>
   Background in fraud or risk domains &mdash; Nice to have.
  </li>
  <li>
   Familiarity with data-insights products and a solid understanding of model-performance metrics &mdash; Nice to have.
  </li>
  <li>
   Exposure to customer-facing or GTM-facing analytics &mdash; Nice to have.
   <br/>
   <br/>
  </li>
 </ul>
 $162,000 - $222,000 a year
 <br/>
 <br/>
 The target base salary for this position ranges from $162,000/year to $222,000/year in Zone 1. The target base salary will vary based on the job's location.
 <br/>
 <br/>
 <strong>
  Our Geographic Zones Are As Follows
  <br/>
  <br/>
 </strong>
 Zone 1 - New York City and San Francisco Bay Area
 <br/>
 <br/>
 Zone 2 - Los Angeles, Seattle, Washington D.C.
 <br/>
 <br/>
 Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego
 <br/>
 <br/>
 Zone 4 - Raleigh-Durham and all other US cities
 <br/>
 <br/>
 Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
 <br/>
 <br/>
 Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
 <br/>
 <br/>
 Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at [email protected] .
 <br/>
 <br/>
 Please review our Candidate Privacy Notice here .
</div>


Data Scientist - Fraud

QuantumBlack, AI by McKinsey

<div>
 <strong>
  Who You'll Work With
  <br/>
  <br/>
 </strong>
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 <br/>
 <br/>
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 <br/>
 <br/>
 When you join us, you will have:
 <br/>
 <br/>
 <ul>
  <li>
   Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  </li>
  <li>
   A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  </li>
  <li>
   Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  </li>
  <li>
   World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Impact
  <br/>
  <br/>
 </strong>
 As a Data Engineer II, you will design, build, and optimize modern data platforms that power advanced analytics and AI solutions.
 <br/>
 <br/>
 You&rsquo;ll collaborate with clients and interdisciplinary teams to architect scalable pipelines, manage secure and compliant data environments, and unlock the value of complex datasets across industries. You&rsquo;ll sharpen your expertise by working on innovative projects, contributing to R&amp;D, and learning from top-tier talent in a dynamic, global environment.
 <br/>
 <br/>
 Your work will drive lasting impact. By ensuring data is accurate, accessible, and production-ready, you&rsquo;ll enable clients to accelerate digital transformations, adopt AI responsibly, and achieve measurable business outcomes. Here&rsquo;s how you might contribute in a given year:
 <br/>
 <br/>
 <ul>
  <li>
   Develop a streaming data platform to integrate telemetry for predictive maintenance in aerospace systems
  </li>
  <li>
   Implement secure data pipelines that reduce time-to-insight for a Fortune 500 utility company
  </li>
  <li>
   Optimize large-scale batch and streaming workflows for a global financial services client, cutting infrastructure costs while improving performance.
  </li>
  <li>
   Develop pipelines for embeddings and vector databases to enable retrieval-augmented generation (RAG) for a global defense client.
   <br/>
   <br/>
  </li>
 </ul>
 You&rsquo;ll work in cross-functional Agile teams with Data Scientists, Machine Learning Engineers, Designers, and domain experts to deliver high-quality analytics solutions. Partnering closely with clients&mdash;from data owners to C-level executives&mdash;you&rsquo;ll shape data ecosystems that drive innovation and long-term resilience.
 <br/>
 <br/>
 This role offers an exceptional environment to grow as a technologist and collaborator. You&rsquo;ll develop expertise at the intersection of technology and business by tackling diverse challenges while collaborating with some of the best technical and business talent in the world.
 <br/>
 <br/>
 There is flexibility to hire at the Engineer I/II or Senior Engineer level, depending on your experience
 <br/>
 <br/>
 <strong>
  Your Qualifications and Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Degree in Computer Science, Business Analytics, Engineering, Mathematics, or related field
  </li>
  <li>
   2+ years of professional experience in data engineering, software engineering, or adjacent technical roles
  </li>
  <li>
   Proficiency in Python, Scala, or Java for production-grade pipelines, with strong skills in SQL and PySpark
  </li>
  <li>
   Hands-on experience with cloud platforms such as (AWS, GCP, Azure, Oracle) and modern data storage/warehouse solutions such as Snowflake, BigQuery, Redshift, and Delta Lake
  </li>
  <li>
   Practical experience with Databricks, AWS Glue, and transformation frameworks like dbt, Dataform, or Databricks Asset Bundles
  </li>
  <li>
   Knowledge of distributed systems such as (Spark, Dask, Flink) and streaming platforms (Kafka, Kinesis, Pulsar) for real-time and batch processing
  </li>
  <li>
   Familiarity with workflow orchestration tools such as (Airflow, Dagster, Prefect), CI/CD for data workflows, and infrastructure-as-code (Terraform, CloudFormation)
  </li>
  <li>
   Understanding of DataOps principles including pipeline monitoring, testing, and automation, with exposure to observability tools such as Datadog, Prometheus, and Great Expectations
  </li>
  <li>
   Exposure to ML platforms such as (Databricks, SageMaker, Vertex AI), MLOps best practices, and GenAI toolkits (LangChain, LlamaIndex, Hugging Face)
  </li>
  <li>
   Familiarity with vector databases and understanding of low latency serving patterns is a plus
  </li>
  <li>
   Willingness to travel as required
  </li>
  <li>
   Strong communication, time management, and resilience, with the ability to align technical solutions to business value
  </li>
 </ul>
</div>


Data Engineer II - QuantumBlack, AI by McKinsey

Dow Jones

<div><p><b>Senior Manager, B2B Analytics</b></p>
<p>Dow Jones, New York</p>
<p><b>About Our Organization:</b></p>
<p>Dow Jones is a global provider of news and business information, delivering content to consumers and organizations around the world across multiple formats, including print, digital, mobile and live events. Dow Jones has produced unrivaled quality content for more than 130 years and today has one of the world&rsquo;s largest news-gathering operations globally. It is home to leading publications and products including the flagship Wall Street Journal, America&rsquo;s largest newspaper by paid circulation; Barron&rsquo;s, MarketWatch, Investor&rsquo;s Business Daily, Factiva, Dow Jones Risk &amp; Compliance, Dow Jones Newswires, OPIS and Chemical Market Analytics. Dow Jones is a division of News Corp (Nasdaq: NWS, NWSA; ASX: NWS, NWSLV).</p>
<p><b>About the Role:</b></p>
<p>Reporting to the Vice President of B2B Marketing Data Science, this role will lead the evolution of Dow Jones&rsquo; B2B data science and analytics capabilities in support of our B2B business function. This position is responsible for driving data-driven strategies that optimize opportunity generation, accelerate revenue growth, improve acquisition , and enhance retention performance.</p>
<p>The Senior Manager will design and implement advanced analytics frameworks, robust revenue measurement methodologies that inform capital allocation across demand generation, account-based marketing, pricing, and customer lifecycle initiatives.</p>
<p><b>You Will:</b></p>
<p><b>Responsibilities:</b></p>
<ul><li><b>Strategic Leadership:</b> Develop and execute analytics projects driving key insights that drive pipeline growth and revenue</li>
<li><b>Build Capabilities and Drive Insights:</b> Support development of propensity models, attribution models, market mix models and customer segmentation models to drive insights that facilitate business planning, forecasting and optimization</li>
<li><b>Executive Reporting and Opportunity Analysis:</b> Develop executive level reports in BI tools (Looker , Tableau) to develop E2E customer journey insights and identify opportunity areas to drive future growth</li>
<li><b>Data Story Telling:</b> Articulate clear, actionable insights derived from model results and effectively communicate complex technical concepts to a non-technical audience</li>
<li><b>Data Infrastructure and Technology:</b> Collaborate with data engineering teams to establish and maintain robust data infrastructure, ensuring data quality, accessibility, and security. Evaluate and implement appropriate data science tools, platforms, and technologies to streamline processes and enhance data-driven marketing</li>
<li><b>Stakeholder Collaboration:</b> Engage proactively with cross-functional teams, including marketing, sales, product development, and finance, to comprehend their specific business requirements and translate them into effective, data-driven solutions</li>
</ul><p><b>You Have:</b></p>
<ul><li>9+ years of experience in marketing analytics, or data science</li>
<li>Degree in a quantitative field such as Data Science, Statistics, Mathematics, or related disciplines; or equivalent experience</li>
<li>Experience supporting B2B or enterprise go-to-market models, ideally within media, information services, SaaS, or subscription-based businesses</li>
<li>Strong expertise in advanced analytics, predictive modeling, forecasting, and funnel analysis</li>
<li>Understanding of B2B marketing and sales funnels, account-based marketing (ABM), CRM systems, and pipeline management</li>
<li>Proficiency in BI tools, Python, R, SQL, and experience working with large-scale, cloud-based data environments</li>
<li>Strong commercial acumen and ability to communicate complex analytics to non-technical, executive stakeholders</li>
<li>Proven ability to influence strategic decisions through data-driven insights</li>
<li>Familiarity with marketing automation platforms, CRM platforms (e.g Salesforce), and digital analytics tools is a plus</li>
</ul><p><b>Our Benefits</b></p>
<ul><li>Comprehensive Healthcare Plans</li>
<li>Paid Time Off</li>
<li>Retirement Plans</li>
<li>Comprehensive Insurance Plans</li>
<li>Lifestyle programs &amp; Wellness Resources</li>
<li>Education Benefits</li>
<li>Family Care Benefits &amp; Caregiving Support</li>
<li>Commuter Transit Program</li>
<li>Subscription Discounts</li>
<li>Employee Referral Program</li>
</ul><p>Learn more about all our US benefits</p>
<p>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status. <b>EEO/AA/M/F/Disabled/Vets</b> .</p>
<p>Dow Jones is committed to providing reasonable accommodation for qualified individuals with disabilities, in our job application and/or interview process. If you need assistance or accommodation in completing your application, due to a disability, please reach out to us at TalentResourceTeam@dowjones.com. Please put &quot;Reasonable Accommodation&quot; in the subject line. This inbox will not be monitored for application status updates.</p>
<p>Reasonable accommodation: Dow Jones, Making Careers Newsworthy - We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. EEO/Disabled/Vets. Dow Jones is committed to providing reasonable accommodation for qualified individuals with disabilities, in our job application and/or interview process. If you need assistance or accommodation in completing your application, due to a disability, email us at talentresourceteam@dowjones.com. Please put &quot;Reasonable Accommodation&quot; in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.</p>
<p>Business Area: Dow Jones - Marketing</p>
<p>Job Category: Data Analytics/Warehousing &amp; Business Intelligence</p>
<p>Union Status:</p>
<p>Non-Union role</p>
<p>Pay Range: 140,000.00 - 170,000.00</p>
<p>We recognize that attracting the best talent is key to our strategy and success as a company.As a result, we aim for flexibility in structuring competitive compensation offers to ensure we are able to attract the best candidates.The quoted salary range represents our good faith estimate as to what our ideal candidates are likely to expect, and we tailor our offers within the range based on the selected candidate's experience, industry knowledge, location, technical and communication skills, and other factors that may prove relevant during the interview process.</p>
<p>Pay-for-performance is a key element in our strategy to attract, engage, and motivate talented people to do their best work. Similarly to salary, for bonus eligible roles, targets are set based on a variety of factors including competitive market practice.</p>
<p>For benefits eligible roles, in addition to cash compensation, the company provides a comprehensive and highly competitive benefits package, with a variety of physical health, retirement and savings, caregiving, emotional wellbeing, transportation, and other benefits, including &quot;elective&quot; benefits employees may select to best fit the needs and personal situations of our diverse workforce..</p>
<p>Since 1882, Dow Jones has been finding new ways to bring information to the world&rsquo;s top business entities. Beginning as a niche news agency in an obscure Wall Street basement, Dow Jones has grown to be a worldwide news and information powerhouse, with prestigious brands including The Wall Street Journal, Dow Jones Newswires, Factiva, Barron&rsquo;s, MarketWatch and Financial News.</p>
<p>This longevity and success is due to a relentless pursuit of accuracy, depth and innovation, enhanced by the wisdom of past experience and a solid grasp on the future ahead. More than its individual brands, Dow Jones is a modern gateway to intelligence, with innovative technology, advanced data feeds, integrated solutions, expert research, award-winning journalism and customizable apps and delivery systems to bring the information that matters most to customers, when and where they need it, every day.</p>
<p>Req ID: 51788</p></div><p></p>

Senior Manager, B2B Marketing Analytics

CVS Health

<div><p>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.</p><p></p><div><div><p>
Position Summary</p></div><div><p>
CVS Health&rsquo;s Analytics &amp; Behavior Change (A&amp;BC) is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&amp;BC leverages advanced analytics, machine learning, modeling, and hypothesis-driven approaches to transform data into actionable, customer-centric insights driving growth, health outcome improvements, and access to health care across all our businesses in CVS Health. Our teams build next generation data and machine learning platforms and software products that help power CVS Health to make healthier happen for 100+ million customers.</p></div><div><p>
The A&amp;BC organization is looking to grow its Product team supporting Clinical Data Science &amp; AI. Join us as we embark on an exciting journey to drive a transformational shift in how CVS Health leverages technology and analytics to become the leader in consumer healthcare in the U.S.</p></div><div><p>
As a Senior Product Manager within A&amp;BC, you will be responsible for contributing to the creation, launch, and maintenance of AI-powered, clinical data insights across the enterprise. This role requires a strong understanding of product management, clinical data, AI-powered insights acceleration, and cross-team collaboration. The ideal candidate has familiarity with the following areas: development processes of small language models, natural language processing, training models, data annotation, and model validation. This person can work effectively with cross-functional teams, most importantly data scientists and machine learning engineers, to bring clinical data and AI products from inception to production.</p></div><p></p><div><p>
Responsibilities:</p></div><div><ul><li>
Develop feature KPIs that are aligned with the overall program KPIs and ensure metrics tracking; use data to drive feature prioritization and alignment with stakeholders on value and prioritization.</li></ul></div><div><ul><li>
Work closely with clinicians and operations to confirm business value, inform problem statements, and quantify the value of your team&rsquo;s potential solution.</li></ul></div><div><ul><li>
Develop go-live timelines with your core data science team and engineering partners; align on timelines and scope with multiple developer teams and stakeholders.</li></ul></div><div><ul><li>
Facilitate cross-team hand-offs including documentation, end-to-end QA planning, and validation.</li></ul></div><div><ul><li>
Create product requirements documents, acceptance criteria, and detailed product specifications to communicate feature requirements to Data Science, Engineering, and Leadership teams.</li></ul></div><div><ul><li>
Support Engineering and Data Science teams to implement features by clarifying requirements, facilitating technical discussions, and helping technical team members to understand the end users and the business problem being solved. Ensure end-to-end insight and collaboration.</li></ul></div><div><ul><li>
Facilitate problem solving and prioritization across teams, factoring in trade-offs between speed, scalability, accuracy, and quality. Be prepared to discuss myriad AI solutions during discovery and make trade-off decisions.</li></ul></div><div><ul><li>
Liaise with clinicians to validate clinical AI model results and to facilitate review and refinement.</li></ul></div><div><ul><li>
Analyze product performance metrics, identifying opportunities for improvement and optimization.</li></ul></div><div><ul><li>
Work with internal customers, end users, and other stakeholders to maintain product roadmaps.</li></ul></div><div><ul><li>
Clarify and coordinate dependencies with other product teams and stakeholders and mitigate the risks and dependencies proactively.</li></ul></div><div><ul><li>
Follow agile best practices including but not limited to working with and leading a scrum team.</li></ul></div><p></p><div><p>
Required Qualifications</p></div><div><ul><li><p>
8+ years of overall work experience.</p></li></ul></div><div><ul><li><p>
3+ years&rsquo; experience working cross-functionally with Machine Learning Engineering and Data Science.</p></li></ul></div><div><ul><li><p>
2+ years&rsquo; Product Management, Product Management-adjacent, or Consulting experience (closely partnering with Data Scientists and Engineers).</p></li></ul></div><div><ul><li><p>
2+ years' experience with AI, data analytics, data products, and/or complex analytics utilizing clinical or claims data to accelerate insights and drive value.</p></li></ul></div></div><div><div><ul><li><p>
Proven track record of supporting the management of all aspects of a successful product throughout its lifecycle; including a strong understanding of QA best practices.</p></li></ul></div><div><ul><li><p>
Ability to drive outcomes in a complex environment and navigate ambiguity.</p></li></ul></div><p></p><div><p>
Preferred Qualifications</p></div><div><ul><li><p>
Familiarity with AI including small language models, large language models, prompt engineering, and machine learning.</p></li></ul></div><div><ul><li><p>
Deep knowledge of various types of healthcare data, including experience utilizing clinical and claims data to create a longitudinal patient view or using AI to drive clinical data insights.</p></li></ul></div><div><ul><li><p>
Strong interest in the Healthcare sector; the ideal candidate should be passionate about making healthcare more efficient and want to be part of a transformational change in the Healthcare industry.</p></li></ul></div><div><ul><li><p>
Technical product management experience and/or experience with general AI/machine learning teams.</p></li><li><p>
Demonstrated ability to operate effectively within a complex stakeholder environment, driving consensus and fostering collaborative decision-making processes.</p></li><li><p>
Demonstrated ability to communicate (oral and written), with experience in communicating technical concepts and implications to business stakeholders, including clinicians, as well as business concepts and requirements to Data Science, Engineering, and other technical teams.</p></li></ul></div><div><p><br>
Education</p></div><div><ul><li><p>
Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, Analytics, Mathematics, Physics, Applied Sciences, or a related field</p></li></ul></div></div><p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$130,295.00 - $260,590.00<p><br>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program.</p><p><br>
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:</p><ul><li><p><b>
Affordable medical plan options,</b> a <b>401(k) plan </b>(including matching company contributions), and an <b>employee stock purchase plan</b>.</p></li><li><p><b>
No-cost programs for all colleagues </b>including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</p></li><li><p><b>
Benefit solutions that address the different needs and preferences of our colleagues</b> including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</p></li></ul><p></p><p>
For more information, visit https://jobs.cvshealth.com/us/en/benefits</p><p></p>
We anticipate the application window for this opening will close on: 03/31/2026<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Senior Product Manager - Foundational and Clinical AI

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
In this role, you will build scalable solutions and sophisticated models that identify and drive growth opportunities for Amazon Ads teams, specifically within Amazon's Demand Side Platform (ADSP). You will leverage machine learning, simulation, and advanced statistical techniques to explain complex patterns, quantify business impact, predict future trends, and prescribe actionable strategies that inform critical business decisions at the highest levels of the organization. You will work with various stakeholders to align on priorities, with the understanding that scope and direction may evolve based on organizational needs. You will translate business goals into agile, insightful analytics that create tangible value for both stakeholders and customers, and communicate your findings clearly and actionably to managers and senior leaders so they can quickly understand insights and take decisive action.<br>
<br>
You will set the strategy for ads delivery and quality and establish the measurement and decision frameworks. A core mandate for this role is to identify, instrument, and operationalize the input metrics that most directly drive ads delivery, quality, and performance, ensuring we optimize the levers that move outcomes rather than simply reporting on lagging KPIs.<br>
<br>
Key job responsibilities<br>
<ul><li>You will define and execute in-depth data analysis that drives data-informed decision making for product, sales, and finance teams who speak on behalf of advertisers.</li></ul><br>
<ul><li>You will establish and drive data hygiene best practices to ensure coherence and integrity of data feeding into production ML/AI solutions.</li></ul><br>
<ul><li>You will identify, instrument, and operationalize the input metrics that most directly drive ads delivery, quality, and performance, creating robust measurement frameworks.</li></ul><br>
<ul><li>You will collaborate with colleagues across science and engineering disciplines for fast turnaround proof-of-concept prototyping at scale.</li></ul><br>
<ul><li>You will partner with product managers and stakeholders to define forward-looking product visions and prospective business use cases.</li></ul><br>
<ul><li>You will set the strategy for ads delivery and quality, establishing decision frameworks that enable teams to move from reactive reporting to proactive optimization.</li></ul><br>
<ul><li>You will drive and lead a culture of data-driven innovations within the Amazon AdTech org.</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><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>2+ years of data scientist experience</li><li>Bachelor's degree</li><li>Experience applying theoretical models in an applied environment</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in Python, Perl, or another scripting language</li><li>Experience in a ML or data scientist role with a large technology company</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<p><br>
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.</p><br>
USA, NY, New York - 153,400.00 - 207,500.00 USD annually<br>
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div><p></p>

Data Scientist II, ADSP Product Operations & Analytics

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