UNKNOWN

FEED

Couriers, fleets, gig workers, parcel carriers, in-store labor, and increasingly autonomous systems all have to be coordinated in real time, against tighter windows and rising expectations, with hard-fought customer trust on the line. Real-time, AI-native intelligence determines what should happen, operational control executes it, and the platform dynamically orchestrates capacity from any source: a company's own fleets, partners, or the Nash delivery network.

Nash

Senior Data Scientist

ea_via_bold

Way’s position is layered by design: a proprietary data network built on millions of experiential data points, the system of record for experiential operations, an e-commerce layer embedded directly into partners’ customer journeys, and a marketplace through Partner Exchange, where brands across hospitality, travel, lifestyle, and retail co-create and co-sell experiences with one another. Significant experience applying data science to real product, marketplace, commerce, or customer problems, with a record of shipping models, experiments, or decision systems that drove measurable business impact.

Staff Data Scientist

ADAPTED_NOW

You will define KPIs and measurement frameworks for navigation efficiency, content discoverability, user friction, and UX quality, and leverage analytics, experimentation, and statistical rigor to influence product decisions and drive continuous improvements to the usability and effectiveness of the Roblox app. Aligned and partnering with product groups, we use this vast tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure the impact on our community of players and developers.

YEAR

Roblox

Senior Data Scientist - Consumer Frontend

Training on curated data can dramatically reduce training time and cost ( 7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment. We raised a total of $57.5M in two rounds, a Seed and Series A. Our investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI visionaries like Geoff Hinton, Yann LeCun, Jeff Dean, and many others who deeply understand the importance and difficulty of identifying and optimizing the best possible training data for models.

DatologyAI

Research Scientist

Senior Scientist II, Data Solutions- Sales- RWE & Insights is responsible for cultivating and growing Tempus partnerships with pharmaceutical and biotechnology clients to support them in advancing their research, clinical and/or commercial programs. The Data Solutions professional works deeply with customers to understand their key research aims and develop targeted solutions with Tempus colleagues that leverage our products / services in data.

Tempus

Senior Scientist II, Data Solutions

Senior Scientist II, Data Solutions - Sales - RWE & Insights is responsible for cultivating and growing Tempus partnerships with pharmaceutical and biotechnology clients to support them in advancing their research, clinical and/or commercial programs. The Data Solutions professional works deeply with customers to understand their key research aims and develop targeted solutions with Tempus colleagues that leverage our products / services in data.

Tempus AI Inc

More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. More than 5,000 organizations worldwide - including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 - rely on the Databricks Lakehouse Platform to unify their data, analytics and AI.

Databricks Inc

You will help shape a critical Digital Intelligence capability within Socure's fraud prevention and identity verification platform, using high-scale device, network, browser, mobile, session, and behavioral telemetry to build risk signals used in real-world production decisions. In this role, you will provide technical leadership for turning noisy, high-scale device, network, browser, mobile, API, and behavioral telemetry into production-grade fraud and identity risk signals.

Since 1971, this telecommunications service provider has maintained a reputation for quality, longevity, stability, and value. The company serves a nationwide customer base which ranges in size from small to large enterprises, spanning industries that include healthcare, government and education, oil and gas, retail, and financial.
As an Avaya Platinum Business Partner, a Microsoft Gold Partner, and strategic partnerships with Interactive Intelligence and Cisco, SOURCE architects and designers craft network applications that voice-enable critical business processes for our customers. These telecom systems and applications not only reduce costs, they literally power sustainable competitive advantage.

With expertise at designing, integrating and implementing multi-vendor, multi-site, multi-technology voice and data communications solutions, combined with a diverse portfolio of managed services, SOURCE continues to be a premier partner to customers for converged telecommunications solutions.

To explore a world where voice and data merge, log on to <a href="http://www.source.com/" mns_rt="Company" target="_blank" itemprop="url">www.source.com</a>. Youâ€™ll find a portfolio of mission-critical solutions that will help you realize the full potential of your communication environment, such as:
<ul>
<li>Project Management</li>
<li>System Implementation</li>
<li>Asset Management &#38; Logistics</li>
<li>Maintenance Services</li>
<li>Professional Services</li>
<li>Disaster Recovery Services</li>
</ul>
At SOURCE, our mission is clear: To exceed the expectations of our customers by creating value as their trusted business partner in the communications eco-system through the integration of people, technology and systems.

Socure Inc

Staff Data Scientist - Digital Intelligence

You should also be able to partner closely with ML engineering to productionize models, work with clinicians and subject-matter experts to validate assumptions, and explain model behavior, uncertainty, and limitations clearly to product and leadership. We're looking for an Applied Scientist, AI to turn messy, high-stakes healthcare problems into machine learning models and AI systems that improve access to care and help Sprinter operate more effectively.

Sprinter Health Inc

Applied Scientist, AI

OTHER

Build the scientific frameworks Ripple reuses at scale : product and network health metrics, causal inference playbooks, liquidity and adoption models, and forecasting approaches that work across institutional and developer surfaces. Pioneer AI-accelerated analytics : applying LLMs and agentic workflows to scale insight generation, automate routine analysis, and enable self-serve exploration for non-DS partners.

Ripple

greenhouse_via_bold

Leveraging its differentiated RAS(ON) tri-complex inhibitor platform, the company is advancing a broad, integrated portfolio of oral RAS(ON) inhibitors designed to directly target the active, cancer-driving state of RAS. Lead day-to-day operations to provide analytical support for API process R&D and manufacturing, formulation development and drug product manufacturing, and participate in cross-functional project team meetings.

Revolution Medicines

Senior Scientist II, Analytical Development

We're representing a dynamic company in the consumer healthcare and life sciences sector that is focused on developing innovative solutions for cleaner and safer products. This organization is committed to advancing research and applied science, fostering a collaborative environment where creativity and scientific rigor thrive.

Recruiting From Scratch

Principal Scientist

Training on curated data can dramatically reduce training time and cost (7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment. We raised a total of $57.5M in two rounds, a Seed and Series A. Our investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI visionaries like Geoff Hinton, Yann LeCun, Jeff Dean, and many others who deeply understand the importance and difficulty of identifying and optimizing the best possible training data for models.

datologyai

Research Scientist, Post-Training

We believe great ideas come from empowered teams, and we're committed to creating an environment where people can do their best work. The anticipated total compensation for this role is $130,00 - $190,000, depending on factors such as experience, skills, location, and internal equity.

Doximity

As a Data Scientist, you'll work within cross-functional delivery teams alongside other data scientists, engineers, and product managers in discovering data insights to help improve healthcare. The anticipated total compensation for this role is $110,000 - $150,000, depending on factors such as experience, skills, location, and internal equity.

Data Scientist

You have built with at least one of OpenAI/Anthropic/Google/OSS (Llama/Mistral), using embeddings, RAG (vector DB + hybrid search + re-ranking), prompt engineering , function/tool calling, JSON-schema outputs, and evaluation frameworks (e.g., prompt/unit tests, hallucination checks). We accomplish this by providing a frictionless connection between them and their customers through our multi-product ecosystem offering AI-enabled order taking, delivery enablement, payment solutions, and point-of-sale software.

Tarro

Responsibilities Conducting statistical analyses to inform product development and marketing strategies Ranges from cohort and retention analyses to analyzing effectiveness of specific product features and funnel drop offs Developing, maintaining, and routinely looking at data dashboards and visualizations to track key metrics and performance indicators Collaborating with product management, marketing, and cross-functional teams to identify and prioritize opportunities for data-driven improvements Concisely communicating findings and insights to stakeholders, usually through a mix of dashboards, written documentation, and live presentation Participating in twice weekly data meetings We are looking for people to demonstrate the following experience and skills: Bachelor's or advanced degree in statistics, computer science, data science, or a related field 2+ years of experience in data analytics, data science, or a related field Proficiency in SQL, Python, R, or other relevant data analysis tools and programming language An attitude to move quickly; we are startup and sometimes have the need to run data analyses on short order / no advanced notice in order to help stakeholders make key, time-sensitive product and marketing decisions Strong problem-solving skills and ability to work independently to drive results Excellent communication and presentation skills, with the ability to explain complex data concepts to non-technical stakeholders A commitment to data hygiene and data best practices that scale (ie: creating dashboards that update themselves as opposed to showing screenshots of 1-time analyses) Bonus, but not essential: experience with product analytics tools (e.g. Select the role's title "Data Scientist (Contractor)" Include your LinkedIn or resume Share links to prior content you've created Feel free to share links to other things that best showcase the relevant things you've built and done Bonus: start a project in Scenery and tell us about your experience on the interview.

Scenery Corp

Data Scientist (Contractor)

For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. As part of our expanding Data Science function, we’re building a best-in-class Forecasting capability to drive real-time, data-driven decision-making across user growth, revenue, compute infrastructure, and more.

OpenAI

Machine Learning Data Scientist - Consumer Forecasting

This is an applied, commercial product development role spanning the full formulation lifecycle: screening and characterizing raw materials and fillers, qualifying suppliers, building formulations from first principles, and validating them through stability, mechanical, and performance testing, while working with product management to align formulation direction with customer and market requirements. Lyten is leading an industrial revolution through Lyten 3D Graphene, a breakthrough supermaterial unlocking a new generation of products - from lithium-sulfur batteries and energy storage systems to concrete admixtures, lightweight composites, and next-generation sensors that are revolutionizing industries.

Lyten Inc

Sr. Scientist, Adhesives

Our Ecosystem Health Team focuses on increasing real-people retention by building a safer, more authentic community through proactive harm prevention, strong identity trust, and empowering users to own their safety experience, while seamlessly meeting evolving regulatory expectations. As a Staff Data Scientist (Ecosystem Health) at Grindr, you'll partner closely with product managers, designers, and engineers to define meaningful metrics, design and analyze experiments, and uncover insights that inform product development for the Ecosystem Health initiatives.

Product Development Scientist Jobs in Palo Alto, CA

Senior Data Scientist Nash

Staff Data Scientist Way

Senior Data Scientist - Consumer Frontend Roblox

Research Scientist DatologyAI

Senior Scientist II, Data Solutions Tempus

Senior Scientist II, Data Solutions Tempus AI Inc

Senior Data Scientist Databricks Inc

Staff Data Scientist - Digital Intelligence Socure Inc

Applied Scientist, AI Sprinter Health Inc

Staff Data Scientist Ripple

Senior Scientist II, Analytical Development Revolution Medicines

Principal Scientist Recruiting From Scratch

Research Scientist, Post-Training datologyai

Senior Data Scientist Doximity

Data Scientist Doximity

Data Scientist Tarro

Data Scientist (Contractor) Scenery Corp

Machine Learning Data Scientist - Consumer Forecasting OpenAI

Sr. Scientist, Adhesives Lyten Inc

Staff Data Scientist, Ecosystem Health Grindr

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