UNKNOWN

FEED

As a part of this team, data scientists bring scientific statistical methods to bear on the challenges of advertising product creation, development and improvement with a deep, data-driven appreciation for the behaviors of the end user and the ecosystem. As a Data Scientist working on Ads Insights and Measurement, you will develop, evaluate and improve the entire range of Googles advertising products including Search, Display, Apps, TV and Video (YouTube).

Google LLC

Senior Research Data Scientist, Ads Insight and Measurement

Lead experimentation strategy and drive product innovation- Own end-to-end A/B testing frameworks, mentor teams on experimental design, and translate test results into actionable product improvements that directly impact key business metrics. Drive data-driven decision making across cross-functional partnerships- Collaborate closely with Product, Engineering, Ops, Risk teams, etc. to translate complex business requirements into analytical solutions and communicate insights to executive stakeholders.

YEAR

Mudflap

Senior Data Scientist, Risk

ea_via_bold

You'll translate business questions into analytics projects, perform ad-hoc and strategic analysis, improve visibility into core systems through data modeling and dashboarding, create OKRs and KPIs tied to business goals and user experiences, and support feature-shipping decisions through experimentation. As cash flow data becomes an increasingly important tool across the lender lifecycle - from acquisition through servicing - you'll help build cash-flow-based products that enable lenders to approve more borrowers, reduce losses, and reach new segments.

Plaid Inc

Data Scientist

The team is supported by Machine Learning and Data Engineering teams that partner with data scientists to ensure we are building a data-driven culture. This is a role for a Data Scientist who wants to be a builder: someone who can move fluidly from insight hypothesis model production measurable impact , working side-by-side with the team throughout the entire lifecycle.

Quizlet

Staff Data Scientist

With our continual goal of making Lumentum a best place to work for our employees, we strive to offer employees competitive total compensation packages, which may include annual bonus, commission for certain sales roles, equity, and health and welfare benefits. You will leverage your expertise in data science, machine learning, and statistical modeling to extract actionable insights from complex datasets and inform strategic decisions across various functions.

Lumentum Operations LLC

Principal Data Scientist

Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Growth Data Scientists in RAD partner with the product teams who own our self-serve signup flow, our trial experience and onboarding, our checkout flow and our Startup Programs.

Intercom

Senior Data Scientist - Growth

With a business model that is aligned with our customers, we create transparent, fair, and simple financial products that put money back in the hands of our members, help them spend wisely, avoid unfair fees and build their credit quickly. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.

Bridge It Inc

Lead Data Scientist

In Gen-AI, it is desirable to have experience in embedding generation from training materials, storage and retrieval from vector databases, setup and provisioning of managed LLM gateways, development of retrieval-augmented generation-based LLM agents, model selection, iterative prompt engineering and fine-tuning based on accuracy and user feedback, monitoring, and governance. Deep experience in simultaneously leading multiple data science initiatives end-to-end from translating business needs to analytical asks, leading the process of building solutions, and the eventual act of deployment and maintenance of them.

Walmart Inc

(USA) Principal, Data Scientist

This includes demand forecasting at multiple geographic scales, methodology-agnostic forecasting tournaments, inventory placement optimization across a growing international network, vendor performance modelling, and the raw material signal generation that links the forecast back to procurement before failures happen. Own the science workstreams end-to-end: the forecasting tournament implementation, the inventory placement optimization, the vendor performance system, or the raw material signal pipeline - across methodology, production model, and iteration loop.

Quince

Staff Data Scientist, Planning And Forecasting

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. At Embedded Insights, we find the best machine learning opportunities for external products and internal systems, and collaborate with cross-functional partners to bring them to life.

Senior Data Scientist - Embedded Insights

End-to-End Pipeline Ownership: Create new relevance ranking features, build automated end-to-end modeling pipelines in Python and SQL, deploy ML models into production, and run rigorous live experiments. You will report to our VP of Engineering and collaborate closely with engineering managers, software engineers, and product managers to move our capabilities from traditional models into near real-time, personalized, and Generative AI-driven experiences.

Senior/Staff Data Scientist, Storefront

10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years work experience and a Masters degree). Design and build scalable data models and analytical architecture that connect data across multiple distinct product domains, ensuring cohesion rather than isolated, product-specific silos.

Staff Product Data Scientist, Gmail, Chat, Calendar

This includes staying current with state-of-the-art approaches from recent publications and research papers - such as advances in reasoning models, multi-agent systems, retrieval-augmented generation, reinforcement learning from human feedback (RLHF), and novel fine-tuning methods - and translating those findings into practical, production-ready solutions for enterprise customers. You will interact with customers directly to understand their business problems, help and aid them in implementation of generative AI solutions, deliver briefings and deep dive sessions, and guide customers on adoption patterns and best practices for generative AI.

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life. 
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet. 
It’s Always Day 1 
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter <a href="https://hiring.amazon.com/why-amazon/culture#/">here</a> 
Our Leadership Principles 
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit <a href="https://www.amazon.jobs/principles" target="_blank">https://www.amazon.jobs/principles</a>

Amazon.com Inc

Senior GenAI Data Scientist - GenAI & AI Agents, AGS NAMER Specialist Team

All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. Own the science: design and lead experimentation programs including A/B tests, multi-armed bandits, causal inference studies, that directly map to product and go-to-market decisions.

Cohere

Direct domain experience in ad tech infrastructure, automated campaign management, digital advertising, performance marketing tech, programmatic bidding optimization or automated investment platforms. In this high-exposure role, you will own the machine-driven decision engines and automated bidding infrastructure guiding a massive global performance marketing spend across 40+ business units.

Senior Data Scientist, Growth

Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization, and you serve as an analytics expert for your partners, using numbers to help them make better decisions. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years of work experience with a Masters degree).

Senior Product Data Scientist, Customer Engagement

Since our founding, we have grown the team to include perspectives from graduate studies in physics, mathematics, bioengineering, economics, financial engineering, and electrical engineering and professional experience at Robinhood, Uber, Lyft, Airbnb, Faire, Segment, Facebook, and Google. We're a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more - all united by a passion for building tools that help small businesses succeed.

Parafin

Data Scientist, Underwriting

Since our founding, we have grown the team to include perspectives from graduate studies in physics, mathematics, bioengineering, economics, financial engineering, and electrical engineering and professional experience at Robinhood, Uber, Lyft, Airbnb, Faire, Segment, Facebook, and Google. Example projects: Building and shipping ML models (XGBoost and friends) that forecast merchant repayment behavior - from feature engineering through production deployment - to inform how we price and size offers.

As one of the earliest Marketing data science hires, you'll own the development of core Marketing metrics, scalable dashboards, and analytical frameworks that enable data-driven decision-making across the business. Define, track, and evolve core metrics across marketing and business functions, building scalable dashboards and reporting frameworks that enable data-driven decision-making.

Harvey, Inc.

Data Scientist, Marketing

You’ll own complex clinical problems from discovery through deployment: working with provider partners and clinicians to understand care workflows, extracting and shaping patient-level EHR data, designing scientifically sound solutions using Knit’s data and models, and evaluating and deploying tools that can be used in real healthcare settings. The data science team is responsible for understanding provider needs and clinical workflows, then turning patient-level clinical data from EHRs and Knit’s clinical models into scientifically sound solutions that can be used in healthcare settings.

Insurance Professional Jobs in Pawtucket, RI

Senior Research Data Scientist, Ads Insight and Measurement Google LLC

Senior Data Scientist, Risk Mudflap

Data Scientist Plaid Inc

Staff Data Scientist Quizlet

Principal Data Scientist Lumentum Operations LLC

Senior Data Scientist - Growth Intercom

Lead Data Scientist Bridge It Inc

(USA) Principal, Data Scientist Walmart Inc

Staff Data Scientist, Planning And Forecasting Quince

Senior Data Scientist - Embedded Insights Plaid Inc

Senior/Staff Data Scientist, Storefront Quince

Staff Product Data Scientist, Gmail, Chat, Calendar Google LLC

Senior GenAI Data Scientist - GenAI & AI Agents, AGS NAMER Specialist Team Amazon.com Inc

Lead Data Scientist Cohere

Senior Data Scientist, Growth Quince

Senior Product Data Scientist, Customer Engagement Google LLC

Data Scientist, Underwriting Parafin

Data Scientist Parafin

Data Scientist, Marketing Harvey, Inc.

Senior Data Scientist Knit Health

Similar Job Searches

See More Jobs

Stand out to leading employers.