At Lyft, we are driven by a mission to connect people and enhance transportation accessibility. We strive to create a workplace where every team member feels valued and empowered to excel. The Pricing team plays a pivotal role in Lyft’s ecosystem, setting the prices for our rideshare offerings while supporting innovative initiatives. Our Dynamic Pricing & Offer Selection team is at the forefront of this effort, dedicated to optimizing pricing and estimated times of arrival (ETAs) in real-time to effectively manage supply and demand within our two-sided marketplace, ultimately boosting both immediate and long-term customer retention. As an Applied Scientist focused on Machine Learning and Operations Research, you will engineer mathematical models and deploy algorithms that guide critical pricing and ETA decisions. Your expertise will be instrumental in developing machine learning and optimization models and in building production pipelines capable of handling millions of requests daily, addressing significant business challenges that greatly influence our marketplace dynamics and rider satisfaction. You will engage with a variety of real-world problems across optimization, prediction, machine learning, and inference, collaborating with a diverse team of professionals including Product Managers, Engineers, and Analysts within the Pricing domain. We are seeking individuals who thrive in a fast-paced, innovative, and impactful environment and who can adeptly navigate complexity and efficiency to transform tangible business challenges into dependable solutions and decision-making frameworks.

Location: Remote , California, United States About Tiger Analytics Tiger Analytics builds data-driven solutions for major organizations, including many Fortune 100 companies. With teams across the US, UK, India, Singapore, and a large remote workforce, we focus on solving complex business problems using advanced analytics and AI. A significant portion of our work centers on the CPG and retail sectors, where analytics consulting drives over 40% of our business. Role Overview The Lead Data Scientist for Pricing Optimization will guide the Pricing and Promotion Optimization team. This role shapes and delivers strategies to improve pricing and promotional effectiveness for clients. The position combines hands-on data science with product strategy, requiring a mix of technical expertise and business acumen. What You Will Do Develop and execute product strategies focused on pricing and promotion optimization Lead and mentor a cross-functional team of data scientists and other specialists Apply analytics to support decision-making and drive measurable business outcomes Plan and manage the product roadmap, ensuring alignment with client goals and market needs What We’re Looking For Significant experience in data science, with a focus on pricing and promotion optimization Background in product management, especially where analytics guides decisions Proven ability to lead cross-functional teams and manage complex projects Experience with roadmap planning and execution

Role Overview iHerb is looking for a Pricing Data Scientist to join the Pricing team. This role focuses on hands-on pricing analytics and measurement, supporting business decisions with data-driven insights. The position is open to candidates based in Irvine, California or working remotely from within the United States. What You Will Do Validate competitive pricing and support pricing decisions with clear analysis Measure the impact of pricing tests and experiments Analyze promotions and discounts to understand performance and effectiveness Assess price elasticity and provide actionable recommendations Translate complex pricing data into executive-ready insights for senior leadership What We Look For Strong quantitative skills and experience with predictive modeling Proficiency in SQL and Python for analytics workflows Ability to turn data findings into practical, clearly communicated recommendations Sound judgment and a proactive approach to problem-solving Comfort working independently and presenting insights to senior decision-makers Location Irvine, California Remote / Home Office (United States)

At Lyft, we are dedicated to creating connections and serving our community. We strive to foster a workplace culture where every team member feels a sense of belonging and can flourish. The Pricing team is pivotal to Lyft’s marketplace, responsible for setting prices for all rideshare services and spearheading new initiatives. The Dynamic Pricing & Offer Selection team focuses on determining optimal prices and ETAs in real-time, balancing supply and demand within our dual-sided marketplace to enhance both immediate and long-term customer conversion and retention. As an Applied Scientist with expertise in Machine Learning and Operations Research, you will create mathematical models and deploy algorithms that inform crucial pricing and ETA decisions. Your role will involve developing ML and optimization models and implementing scalable pipelines capable of handling millions of requests daily while addressing significant business challenges impacting marketplace dynamics and rider satisfaction. You will engage with a diverse range of real-world issues across optimization, prediction, machine learning, and inference, collaborating closely with colleagues and stakeholders across Pricing, including Product Managers, Engineers, and Analysts. We seek a candidate who thrives in a fast-paced, innovative environment and excels at balancing complexity with efficiency to transform real-world business challenges into dependable solutions, systems, and decision-making frameworks.

Join Our Mission to Empower Others: We’re Hiring! At GoFundMe, we pride ourselves on being the world’s largest platform dedicated to social good, connecting individuals and nonprofits to foster a supportive community. Since our inception in 2010, our collective efforts have raised over $40 billion to help people in need. We are committed to making it easy and secure for anyone to seek assistance and support meaningful causes. We are currently seeking a talented Staff Data Scientist specializing in Pricing to take the lead as a senior individual contributor. You will spearhead the scientific methods, strategic initiatives, experimentation, and AI implementation that drive pricing and yield optimization at GoFundMe. This pivotal role combines elements of economics, behavioral science, experimentation, and machine learning, directly influencing donation conversion rates, donation amounts, and overall donor experiences across our platform. Please note, candidates must be located in the San Francisco Bay Area, as this position requires in-office attendance three times a week. Your Role: End-to-End Ownership of Donation Pricing: Develop and implement analytical strategies, modeling frameworks, and key success metrics for pricing recommendations, balancing conversion rates, donation sizes, and long-term donor trust. Modeling Human Behavior: Utilize economic theories, behavioral science, and machine learning techniques to comprehend donor decision-making processes, assess elasticity, and forecast responses to alterations in product design. Leveraging Behavioral Signals: Analyze non-transactional behavioral signals (such as navigation patterns, hesitations, context, device usage, and timing) to identify shifts in intent and interaction patterns beyond direct transactions. Creating Adaptive Systems: Engineer models that evolve over time, integrating experimentation signals, feedback loops, and reinforcement learning concepts as needed. Leading Experimentation and Causal Learning: Collaborate with Product and Engineering teams to establish robust experimentation and measurement frameworks, ensuring that pricing and donation models maintain causal integrity and are safe for large-scale deployment. Incorporating External Data: Enhance behavioral models using external datasets (including macroeconomic indicators, seasonal trends, and regional signals) to gain deeper insights into donor behavior. Translating Insights into Action: Transform complex economic and behavioral analyses into actionable, deployable models.

Okta secures digital identity for both AI and human users, building infrastructure that helps organizations adapt to new challenges. The company focuses on solving complex problems that have a real impact for its customers. The Pricing Strategy team partners with Product, Finance, Sales, and Operations to define how Okta packages, prices, and monetizes its products worldwide. This group blends strategy with analytics, using market trends and customer data to develop recommendations that influence executive decisions and field execution. Role overview The Principal Data Scientist, Pricing Strategy, reports to the Head of Pricing Strategy. This position leads analytics projects that shape pricing and packaging strategies across Okta’s product portfolio. The role combines quantitative analysis with strategic thinking, developing measurement methods, building and deploying models, and running test-and-learn programs to guide monetization. Collaboration with senior leaders in Product and Go-to-Market teams is essential, turning open-ended questions into actionable insights and scalable plans. What you will do Strategic Pricing Influence: Work with Product, Go-to-Market, and Finance leaders to shape pricing, packaging, and discount strategies using data-driven insights. Advanced Analytics and Modeling: Build and apply models and analytical frameworks to forecast pricing effects, predict customer behavior, and estimate revenue outcomes across regions and segments. Experimentation and Pilots: Design and evaluate pilots and test-and-learn initiatives for new pricing strategies, including defining success metrics and evaluation methods. Deep-Dive Insight Generation: Analyze large, complex datasets to uncover drivers of purchasing, discounting, retention, and monetization performance. Metrics and Dashboards: Develop dashboards and reports that clearly communicate findings to stakeholders. Location This position is based in Bellevue, Washington or San Francisco, California.

About Formation BioFormation Bio is a tech-driven pharmaceutical company that is revolutionizing drug development through advanced AI technologies. With the rapid advancements in AI and drug discovery, there is an increasing number of candidate drugs emerging, yet the industry faces challenges due to the high costs and lengthy durations of clinical trials. Formation Bio, established in 2016 as TrialSpark Inc., is dedicated to overcoming these development bottlenecks. We have created innovative technology platforms, streamlined processes, and robust capabilities to expedite all facets of drug development and clinical trials. Our strategy involves partnering with, acquiring, or in-licensing drugs from pharmaceutical companies, research organizations, and biotechnology firms to advance programs beyond clinical proof of concept, ultimately aiming to deliver new medicines to patients more efficiently. Our investors include leading firms in both the pharmaceutical and tech sectors, such as a16z, Sequoia, Sanofi, Thrive Capital, and others. Discover more about us through the following links:Our Vision for AI in PharmaOur Current Drug PortfolioOur Technology & PlatformAt Formation Bio, our values are integral to our mission of transforming the pharmaceutical industry. Each team member embodies these values and contributes significantly to our goal of expediting the availability of new treatments to patients. About the Position As a Data Scientist on our platform prediction team, your primary responsibility will be to convert our probability of success predictions into quantifiable outcomes at the portfolio level. You will be instrumental in designing and developing core systems for order management, execution simulation, portfolio construction, risk monitoring, and performance attribution, allowing us to rigorously assess signals derived from our AI-driven predictions in both public and private equities, as well as our internal portfolio.This position operates at the nexus of quantitative finance, healthcare data, and AI-enhanced drug development. If you are passionate about utilizing portfolio construction and risk management principles to tackle one of healthcare's most significant predictive challenges, this role is an exceptional fit for you. No other organization—be it a hedge fund or a pharmaceutical company—offers such a unique opportunity.

Founded in 2007, Airbnb has transformed the travel landscape, growing from a humble start with three guests to a vibrant community of over 5 million hosts welcoming more than 2 billion guests worldwide. Every day, our hosts offer distinct stays and experiences, fostering authentic connections between travelers and local communities.Join Our Collaborative Team:You will be part of a dynamic group of data scientists, analysts, engineers, product managers, and designers dedicated to developing innovative pricing solutions for Airbnb hosts. Your primary team will include data scientists within the Guest & Host Data Science organization, who create models, essential tools, and insights to enhance the Airbnb marketplace for both guests and hosts. Your Impactful Contributions:Play a crucial role in shaping a pricing guidance system for our hosts and employ various methods (both experimental and observational) to evaluate the effectiveness of pricing feature launches. You will spearhead innovative pricing science initiatives, including pioneering 0-to-1 projects that require a blend of scientific rigor and creative business insights. Your most impactful work will involve:Working closely with product and cross-functional teams to develop and implement pricing strategies and guidance for hosts, translating sophisticated modeling into practical recommendations.Creating foundational models and experimental frameworks that balance marketplace supply and demand, using empirical methods to evaluate and enhance pricing feature impacts.Crafting engaging data narratives to reveal actionable insights, empower data-driven decision-making, and steer the future of Airbnb’s pricing ecosystem. A Day in Your Role:Gaining a comprehensive understanding of host perspectives on pricing and their interactions with our application through analysis and research.Building strong relationships with cross-functional partners in Product, Engineering, and Analytics.Coding in Python, SQL, and R to model, simulate, and measure the impact of new pricing features.Diving into data creatively to assess the varying effects of pricing feature launches, converting these insights into clear recommendations.Sharing findings and insights with leadership and partners in a straightforward and impactful manner.

Join TechBiz Global as a Data Architect for our esteemed client!We are on the lookout for a talented and experienced Data Architect to contribute to an innovative team focused on building a cutting-edge Dynamic Pricing and Decision Intelligence Platform. This exciting opportunity allows you to work remotely while making a significant impact in the data architecture landscape.Role Overview:The Data Architect will be responsible for designing and governing the entire data ecosystem for the ValueX platform, which encompasses data ingestion, processing, modeling, storage, orchestration, and governance. You will create a comprehensive data architecture blueprint that supports key system modules including:Customer SegmentationBusiness Decisioning & Offer Assignment EngineReal-Time Offer Orchestration Module (ROOM)ML/AI Model Management & Simulation EngineYour expertise will ensure scalability to manage over 50 million customer profiles, real-time event streams, and machine learning-driven decisioning, with a strong focus on performance, cost optimization, and maintainability.Key Responsibilities:Data Architecture & Design: Define and design the end-to-end data architecture across batch, streaming, and real-time layers.Formulate Customer 360 and Offer 360 data models, including feature store and historical layers.Establish logical, physical, and semantic data models to facilitate segmentation, scoring, and orchestration.Define data contracts for Kafka topics, API payloads, and Adobe/CDP integrations.Implement data versioning and lineage frameworks to maintain data provenance.Data Ingestion & Integration:Architect data ingestion pipelines from various sources, including OCS, CRM, Kenan, Billing, DWH, Adobe AEP, Pricefx, and external APIs.

Founded in 2007, Airbnb began with the vision of connecting people through unique stays and experiences. Today, we boast over 5 million hosts worldwide who have welcomed more than 2 billion guests. Our mission is to foster authentic connections between travelers and local communities.Join Our Community:As part of a dynamic team of data scientists, analysts, engineers, product managers, and designers, you will focus on enhancing pricing products for our hosts. You will collaborate closely with fellow data scientists within the Guest & Host Data Science organization to create models and tools that elevate the Airbnb marketplace for both guests and hosts.Your Impact:Your work will be pivotal in developing a pricing guidance system aimed at assisting hosts, as well as establishing methods to evaluate the impact of pricing feature launches. Key responsibilities include (1) partnering with product teams to refine pricing strategies for hosts, (2) creating foundational models for pricing recommendations that align with market demand, and (3) effectively communicating insights through data narratives that aid cross-functional decision-making for future pricing innovations.A Day in Your Role:Fostering strong relationships with cross-functional partners in Product, Engineering, and Analytics.Utilizing programming skills (Python, SQL, R) to model, simulate, and assess the impact of new pricing features.Analyzing data creatively to discern the varying effects of pricing feature launches and translating findings into actionable insights.Communicating discoveries and insights to leadership and partners in a clear, concise manner.

Join Walgreens as an Analyst specializing in Price and Markdown Optimization. In this pivotal role, you will analyze pricing strategies and markdown effectiveness to drive revenue growth and enhance customer satisfaction. Collaborate with cross-functional teams to implement data-driven decisions that optimize our pricing approach.

Waymo is at the forefront of autonomous driving technology with a commitment to becoming the most trusted driver in the world. Originating from the Google Self-Driving Car Project in 2009, Waymo is dedicated to developing the Waymo Driver—The World’s Most Experienced Driver™—which aims to enhance mobility access and save thousands of lives lost in traffic accidents. The Waymo Driver has been instrumental in powering Waymo’s fully autonomous ride-hailing service, accruing over ten million rider-only trips, and has autonomously navigated more than 100 million miles on public roads alongside tens of billions of miles in simulation across 15+ states in the U.S.We are launching an innovative team known as SCORPIO (SimEval Capacity Operations, Resource Planning, Infrastructure Optimization). This team will play a crucial role in optimizing the utilization of Waymo’s extensive simulation compute, storage, and network resources. SCORPIO will focus on creating data-driven models, metrics, and processes for demand forecasting, capacity planning, and resource allocation optimization, thereby enhancing developer experiences and maximizing infrastructure investment returns.

About the RoleAt Amplio, we are revolutionizing the way manufacturers extract value from surplus equipment through cutting-edge intelligence solutions. As the Lead Data Scientist for Appraisal & Pricing, you will spearhead the development of advanced appraisal and pricing capabilities. By merging data science with innovative AI technologies, you will enhance and automate valuation processes, enabling scalable and efficient decision-making.Key ResponsibilitiesDevelop and refine models that accurately estimate fair market value, recovery potential, and optimal asset disposition strategies.Utilize agentic AI to streamline cataloging and appraisal workflows, driving efficiency and accuracy.Collaborate with the Sales team to underwrite buyout offers and forecast consignment recovery and capacity utilization.Create feedback mechanisms for ongoing price optimization and model enhancements.Partner with Product and Operations teams to translate analytical insights into impactful pricing and sourcing initiatives.

Role overview The Pricing & Revenue Optimization Analyst at Versant3 will play a key part in shaping pricing strategies and driving revenue growth for the GolfNow and Fandango brands. Based in Orlando, this position centers on data analysis, pricing model development, and collaboration with teams throughout the company to inform business decisions. What you will do Study data trends that impact pricing and revenue outcomes Create and update pricing models to support business objectives Collaborate with teams from different departments to guide strategy Contribute to business performance for both entertainment and sports brands Team and impact Versant3 works with established names in entertainment and sports. This analyst role provides a chance to use analytical skills in a hands-on way, directly influencing business growth and performance.

Join Lyft as a Senior Data Scientist specializing in Optimization, Central Market Management, and AI. In this pivotal role, you will leverage advanced analytics and machine learning techniques to drive data-driven decisions and enhance operational efficiency across our services. Collaborate with cross-functional teams to identify opportunities for optimization and develop innovative solutions that shape the future of transportation.

Join Lyft as a Data Scientist specializing in Machine Learning, Pricing, and Rider Engagement. In this role, you will leverage your expertise in data analysis to improve pricing strategies and enhance rider experiences. Collaborate with cross-functional teams to design, implement, and optimize machine learning models that drive decision-making and business growth.

AMAX is a leading global provider of AI, High-Performance Computing (HPC), GPU technologies, and advanced computing infrastructure solutions, catering to enterprise, research, and cloud customers. We are seeking a dynamic pricing expert with a deep understanding of B2B hardware cost structures, supply chain dynamics, and deal-specific pricing strategies.This pivotal role will oversee pricing strategy and business optimization for AMAX’s AI, HPC, GPU, and server infrastructure solutions, functioning at the intersection of cost analysis, supply constraints, and tailored deal execution. The ideal candidate will possess practical pricing experience in the B2B computing hardware sector and demonstrate the ability to make data-driven decisions in a fast-paced, supply-constrained atmosphere.Key ResponsibilitiesManage the comprehensive pricing strategy for assigned product lines, which include servers, GPU systems, and integrated infrastructure solutions.Translate component-level cost structures (including BOMs, GPU pricing, and supplier terms) into effective, competitive pricing models.Evaluate market dynamics, competitive positioning, and customer demand to uncover pricing and margin enhancement opportunities.Track pricing performance at the product, customer, and deal levels; proactively modify pricing strategies based on market changes, lifecycle stages, and supply conditions.Assist in pricing negotiations with suppliers, partners, and internal stakeholders through cost transparency and scenario analysis.Work collaboratively with sales, product development, procurement, supply chain, and engineering teams to create deal-specific pricing proposals.Identify cost reduction and margin improvement opportunities within the supply chain and product configurations.Prepare detailed, executive-ready reports and recommendations to inform business decisions.QualificationsWe are looking for candidates with the following:A Bachelor’s degree in Business, Finance, Engineering, or a related field.3+ years of hands-on pricing or business analysis experience in the computing hardware industry (including servers, GPUs, storage, networking, or similar infrastructure).Demonstrated ability to navigate complex cost structures and variable supplier pricing.Strong analytical skills with the capability to derive practical pricing actions from data.A keen attention to detail alongside a strong sense of ownership and accountability.Effective communicator with the ability to engage cross-functionally.Advanced proficiency in Excel; experience with pricing, business intelligence, or data analysis tools.Preferred Skills:Direct experience in B2B computing hardware pricing strategies.

Join Lyft as a Senior Data Scientist specializing in Optimization, Central Market Management, and Artificial Intelligence. In this pivotal role, you will harness your analytical skills to drive product innovations and enhance operational efficiency. By applying cutting-edge data science methodologies, you will collaborate with cross-functional teams to leverage data insights for strategic decision-making and product enhancements.

Quadric, Inc. has developed a cutting-edge general-purpose neural processing unit (GPNPU) architecture designed to execute neural network (NN) inference workloads across a diverse range of edge and endpoint devices. Our unique co-optimized software and hardware solution enhances performance in various applications, from battery-operated smart sensor systems to advanced automotive and autonomous vehicle systems. Unlike traditional neural network accelerators, the Quadric GPNPU seamlessly executes both NN graph code alongside standard C++ DSP and control code, providing unparalleled versatility.Our Core Values:Integrity, Humility, HappinessOur Expectations:Initiative, Collaboration, CompletionRole Overview:We are seeking a talented Data Scientist to join our model optimization team. In this role, you will research, prototype, and validate low-precision techniques aimed at enhancing the efficiency of neural networks on the Chimera GPNPU. Your analytical work will establish the quantization recipes that are included in the Chimera SDK and will have a significant impact on future hardware developments.