Data Scientist - Machine Learning, Pricing & Rider Engagement

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.

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 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.

Axon Enterprise develops devices and cloud software aimed at improving safety and justice. Teams value honesty, compassion, and diverse perspectives, working together to make a meaningful impact. The company encourages initiative and personal growth, recognizing the importance of each person’s contribution. Role overview The Principal Data Scientist will join the Office of the Chief Accounting Officer in San Francisco. This position blends technical data science work with strategic collaboration across finance and technology groups. A strong background in finance and accounting is required for success in this role. Main focus Half of the role involves building data analytics tools and pipelines, using AI to speed up large-scale projects such as mergers and acquisitions integration, ERP deployments, data remediation, and SOX compliance. The other half centers on partnering with Controllership, Finance Operations, FP&A, Internal Audit, and Technology to lay the groundwork for AI, automation, and audit readiness. Daily tasks will include using AI-assisted development tools, such as code generation and large language models. Key responsibilities Design and implement data analytics tools, automated validation frameworks, and dashboards to provide Finance Operations and Controllership with real-time insights into data quality across enterprise systems. Use AI to quickly prototype, test, and deploy these solutions. Collaborate with source-system owners in Revenue Operations, Procurement, Human Resources, and Engineering to address data issues at their source and improve upstream data integrity. Maintain data dictionaries, lineage documentation, and quality scorecards for core controllership data assets. Set and enforce standards for master data management (MDM). Work with the Chief Information Officer and IT to develop integration strategies that enable seamless data flow.

Join Databricks as a Principal Data Scientist and contribute to shaping the future of data analytics and machine learning. In this pivotal role, you will leverage your expertise to drive impactful projects, collaborate with cross-functional teams, and lead innovative research initiatives that enhance our product offerings. As a thought leader, you will utilize your extensive knowledge in data science to influence our strategic direction, ensuring our solutions remain at the forefront of technology.

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 SoFi as a Senior Data Scientist in our Credit Strategy team, where you will leverage data-driven insights to enhance our lending strategies and improve customer experiences. You will be responsible for developing advanced analytical models, utilizing machine learning techniques, and collaborating with cross-functional teams to drive data-centric decisions.

About UsAt Sierra, we're on a mission to revolutionize customer experiences through cutting-edge AI technology. Headquartered in the vibrant city of San Francisco, we also have expanding offices in Atlanta, New York, London, France, Singapore, and Japan.Our core values—Trust, Customer Obsession, Craftsmanship, Intensity, and Family—are the bedrock of our culture. We strive to embody these principles in every aspect of our work.Our visionary co-founders, Bret Taylor and Clay Bavor, bring a wealth of experience from their illustrious careers at companies like Salesforce, Google, and Facebook, ensuring that Sierra is at the forefront of innovation.Your Role:We are seeking a dynamic Pricing Strategy and Operations Specialist to enhance our pricing team. In this role, you will collaborate closely with sales to craft compelling pricing proposals and ROI case studies for our customers. You'll also partner with product, marketing, and operations teams to shape our pricing and packaging strategies comprehensively.What You'll Bring:A minimum of 4 years of experience in consulting, banking, strategy, or business operations, with a preference for candidates who have a background in GTM operations within a startup, particularly in SaaS pricing.Proven experience in negotiating complex customer partnerships.Familiarity with sales cycles and the ability to navigate them effectively.A solid understanding of GTM operations driven by data-informed decision-making.A degree in Business Administration, Finance, or a related field, or equivalent professional experience.Bonus Qualifications:Experience in partnerships, business development, or value engineering roles is a plus.Familiarity with AI or conversational AI technologies.Experience in a fast-paced startup environment or 0-1 startup experience.

About AirwallexAirwallex stands as the premier unified payments and financial platform designed for global enterprises. Leveraging our distinctive blend of proprietary technology and innovative software, we serve over 200,000 businesses worldwide—including notable companies such as Brex, Rippling, Navan, Qantas, and SHEIN—empowering them with fully integrated solutions to streamline business accounts, payments, spend management, treasury, and embedded finance on a global scale.Founded in Melbourne, we are proud to employ a diverse team of over 2,000 forward-thinking professionals across 26 offices globally. With a valuation of US$8 billion and support from esteemed investors like T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is at the forefront of building the future of global payments and financial solutions. If you’re eager to engage in the most ambitious work of your career, we invite you to join our team.

SoFi is hiring a Senior Data Scientist to focus on Credit Strategy. This position centers on using analytical expertise to support data-driven decisions that impact both customer experience and business goals. Role overview The Senior Data Scientist works closely with teams across the company to create, refine, and improve credit strategies. Collaboration is key, as the role involves partnering with colleagues from different areas to ensure credit solutions align with SoFi’s objectives. What you will do Design and implement credit strategies that support business outcomes Collaborate with cross-functional teams to optimize credit processes Apply advanced modeling and machine learning techniques to uncover insights Use data analysis to inform and guide strategic initiatives Requirements Strong analytical skills and experience with data-driven problem solving Background in advanced modeling techniques and machine learning Ability to work effectively with teams from multiple disciplines

As the Director of Pricing Strategy at Asana, you will lead our efforts to develop and implement innovative pricing strategies that drive profitability and market share. You will collaborate with cross-functional teams, including marketing, sales, and product development, to analyze competitive pricing models and customer insights. Your strategic vision will be pivotal in setting the future direction of our pricing framework.

Join Airwallex as a Senior Data ScientistAt Airwallex, we are revolutionizing the payment and financial landscape for global businesses. Our all-in-one platform empowers over 200,000 companies worldwide, including renowned brands like Brex, Rippling, Navan, Qantas, and SHEIN, to manage their business accounts, payments, spend management, and treasury solutions seamlessly.Founded in Melbourne, our diverse team of over 2,000 innovators spans across 26 offices globally. With a valuation of US$8 billion and support from top-tier investors such as T. Rowe Price, Visa, Mastercard, and Sequoia, we are at the forefront of creating the future of global finance. If you are ready for a career-defining challenge, we invite you to join our mission.What We Look ForWe are seeking dynamic individuals with a builder’s mindset who thrive on making a significant impact and possess a passion for learning. You should bring expertise in data science, along with critical thinking skills that align with our mission and operating principles. We value speed, curiosity, and sound judgment, allowing you to explore data deeply and make informed decisions.Collaboration is key at Airwallex; we need team players who can transform innovative ideas into tangible products. As a Senior Data Scientist, you'll tackle complex challenges, leveraging AI to enhance efficiency and effectiveness in our operations.About Your TeamYour role will involve collaborating closely with Product, Growth, and Commercial teams to enhance our data science capabilities. We are looking for someone who takes ownership from the outset, delving deep into data analysis to uncover the reasons behind shifts in outcomes, while skillfully balancing analytical approaches with business context. You will use AI to convert insights into scalable solutions that drive revenue growth and operational efficiency.

Join Checkr as a Senior Pricing Strategy Manager where you will play a pivotal role in shaping our pricing strategies to enhance our competitive edge. You will collaborate with cross-functional teams to analyze market trends, customer needs, and pricing models to drive profitability and growth.

Role overview The Principal Research Scientist – Scaling at Databricks leads research projects that advance how the company’s data analytics platform handles large workloads. This San Francisco-based role focuses on designing and improving algorithms that enable efficient large-scale data processing and machine learning. Collaboration is central, with regular work alongside engineering, product, and research teams. What you will do Lead research to develop algorithms that scale for data analytics applications. Work with colleagues across engineering, product, and research to strengthen machine learning capabilities. Use deep expertise to shape the direction and architecture of the Databricks platform. Drive new ideas and solutions that influence the future of data science and analytics at Databricks. Location This role is based in San Francisco, California.

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 dynamic team at Amgen as a Principal Scientist - Biotransformation in San Francisco. In this pivotal role, you will lead innovative research focusing on biotransformation processes, contributing to the development of cutting-edge therapeutics. Your expertise will drive scientific advancements and support our mission to improve the lives of patients worldwide.

Join the dynamic Analytics team at DoorDash as a Data Scientist or Senior Data Scientist, where your expertise will directly influence strategic decisions and operational improvements. You will uncover valuable insights from vast datasets, transforming them into actionable recommendations that drive company-wide initiatives. Collaborate with diverse teams in areas like Consumer & Growth, Business Operations, and Customer Experience to elevate our analytics capabilities and impact our business in meaningful ways.

About GustoAt Gusto, we are dedicated to empowering the small business economy. We take care of complex tasks such as payroll, health insurance, 401(k)s, and HR, allowing business owners to focus on their passions and their customers. With vibrant teams across Denver, San Francisco, and New York, we proudly support over 400,000 small businesses nationwide. We are committed to creating a workplace that reflects and celebrates the diversity of our customer base. Discover more about our Total Rewards philosophy.As a Principal Data Scientist on the Payments team, you will play a crucial role at the intersection of financial systems and data science. You will transform the complexities of a large-scale payments ecosystem into actionable insights and models that drive the development, operation, and enhancement of our payment solutions.Your responsibilities will include collaborating closely with Product, Engineering, Design, Finance, and other Data teams. You will gain expertise in your domain's data, define metrics to assess our business performance, and analyze payments data to provide valuable insights. Additionally, you will integrate AI-assisted methodologies to expedite analysis, improve analytical rigor, and broaden the dissemination of insights across Gusto.This position is ideal for individuals who are equally adept at analyzing ledger-level transaction data and engaging with payments engineering teams to impact architectural decisions. If you are passionate about enhancing the financial well-being of countless small businesses, this opportunity is for you.

About UsPomelo Care is the premier provider of evidence-based healthcare solutions tailored for women and children. Our mission is to offer personalized, high-quality clinical interventions ranging from reproductive and pregnancy care to pediatrics, hormonal health, and long-term preventive measures. We ensure 24/7 multispecialty care that addresses the medical, behavioral, and social factors affecting health outcomes for moms and babies. Collaborating with payers, employers, and healthcare providers, we strive to enhance access to quality healthcare across the board.Role OverviewYour Mission: Develop groundbreaking, data-driven products that enhance patient engagement and retention, ultimately improving the health and well-being of mothers and infants.We are seeking a skilled Staff Data Scientist to lead our data strategy within the Growth and Patient Experience team. This role focuses on two main objectives: optimizing our patient enrollment strategies and creating innovative products that maintain patient engagement throughout their care journey. In this capacity, you will:Master patient behaviors, engagement trends, and retention factors, guiding the team’s data science roadmap and influencing Pomelo’s patient experience strategy.Collaborate extensively with the Marketing team to design and refine a multi-channel enrollment strategy, including building attribution models, analyzing conversion rates, and optimizing resource allocation for patient enrollment.Establish and refine key performance metrics that reflect the health of the business, such as enrollment and retention rates, and share insights with Pomelo’s executive leadership.Conduct exploratory analyses to inform the design of features focused on enrollment and engagement, including categorization of conversation topics and segmentation of patient journeys.Create robust data pipelines and analytics frameworks that integrate external data with marketing and product usage data, providing a comprehensive view of the patient experience.Lead the A/B testing efforts across marketing and product initiatives to accurately evaluate their impact.Work closely with Product, Clinical, and Engineering teams to convert patient insights into actionable product enhancements and new feature developments.