Data Scientist - Go-To-Market Strategy

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.

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

At Earnest, we empower determined individuals to make informed financial choices and create the future they desire.The Earnest team is dedicated to guiding borrowers towards a confident financial journey by providing smarter loan options and a clearer understanding of debt management. If you share our passion for this mission, we invite you to learn more and join us in building something exceptional.The Role of Senior Credit Strategy AnalystYou will report directly to the Senior Credit Risk Manager for Personal Loans. In this role, you will:Lead the comprehensive implementation of credit and fraud policies across all Earnest product lines, ensuring precise testing, deployment, and validation to align with policy objectives.Enhance and refine credit underwriting and fraud prevention strategies for personal loans, focusing on the balance between growth, risk, and customer experience.Evaluate portfolio performance and analyze approval funnels and fraud trends to uncover opportunities for strategy improvement and loss reduction.Create, test, and implement decision rules, segmentation strategies, and policy modifications using data-driven experimentation techniques.Collaborate cross-functionally with Product, Data Science, Compliance, and Operations to ensure the effective execution and monitoring of strategies.Develop dashboards, reporting systems, and monitoring frameworks to track essential credit and fraud KPIs, including approval rates, losses, and fraud rates.Support governance of models and strategies through documentation, controls, and performance assessments.

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.

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.

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.

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.

At Descript, we are on a mission to revolutionize the way audio and video content is created. Our innovative platform has earned the trust of renowned podcasters, influencers, and prestigious organizations like BBC, ESPN, HubSpot, Shopify, and The Washington Post. With $100M in funding from top investors, including the OpenAI Startup Fund, Andreessen Horowitz, Redpoint Ventures, and Spark Capital, we are poised for tremendous growth. We are seeking a proactive and analytical Senior Marketing Data Scientist to join our dynamic Growth team. In this role, you will collaborate with the Performance Marketing team to design and implement a comprehensive measurement framework, optimize marketing performance across the entire funnel, and drive data-informed business strategies. This crucial position will enable Descript to enhance its marketing capabilities across both B2C and B2B sectors. You will leverage AI-driven analytics tools to streamline decision-making processes and deliver scalable predictive insights. This position can be performed remotely within the United States or onsite in the San Francisco Bay Area.

Join our innovative team at Pinterest as a Senior Data Scientist in the Core division. We're looking for a data-driven professional who is passionate about leveraging data analytics and machine learning to enhance user experience and drive business outcomes. At Pinterest, you will collaborate with cross-functional teams to develop data models and insights that influence strategic decisions.

About the Role Grow Therapy is hiring a Senior or Staff Data Scientist in San Francisco. This role focuses on using data to inform key decisions and improve therapy services.

About tvScientifictvScientific is the premier CTV advertising platform specifically designed for performance marketers. By harnessing extensive data and innovative science, we automate and enhance TV advertising to achieve tangible business results. Our integrated solution encompasses media buying, optimization, measurement, and attribution, all within a single, efficient platform. Developed by industry veterans with deep experience in programmatic advertising, digital media, and ad verification, our platform provides advertisers with the trust they need to scale their business.As a vital member of our Data Science team, you will transform data into actionable insights, influence business strategies, and lead analytics projects from start to finish. Your daily responsibilities will include crafting tailored reporting and analytics tools to address the specific needs of our clients.

Join Aircall, the leading integrated customer communications and intelligence platform that empowers growing businesses worldwide. With a trusted network of over 20,000 companies, Aircall seamlessly integrates voice and digital channels into one powerful platform, featuring one-click connections with top CRMs and over 100 essential business tools. Our AI-driven insights and automation capabilities enable sales and support teams to optimize their time, discover new opportunities, and deliver outstanding customer experiences. With a diverse global team of over 600 in cities such as Paris, New York, San Francisco, and more, Aircall is revolutionizing the way businesses engage with their customers, fostering deeper relationships and driving measurable success.Our Work Culture: At Aircall, we prioritize customer satisfaction, continuous learning, and extraordinary results. We encourage open collaboration, ownership, and swift, informed decision-making. If you thrive in a dynamic, team-oriented environment where curiosity, trust, and impact are key, you will fit right in.About Our TeamThe Data team at Aircall is integral to our decision-making process, driving innovation and growth through advanced data solutions, tools, and actionable insights.Role OverviewAs a Senior Data Scientist, you will play a crucial role in providing insights to our product and business teams, collaborating closely with product and engineering leaders. You will support key initiatives such as pricing strategies, packaging, multi-product approaches, and self-service solutions. Additionally, you will work cross-functionally with Engineering, Sales, Finance, Marketing, and Customer Relations to translate data requirements into impactful solutions. Your contributions will also include establishing best practices in analytics and mentoring team members to uphold high standards in data governance and insight generation.

Employee Applicant Privacy NoticeAbout Us:Join us in shaping a brighter financial future.At SoFi, we are revolutionizing how individuals interact with personal finance. As a forward-thinking financial services company and national bank, we utilize innovative, mobile-first technology to empower millions of members to achieve their financial goals. The finance industry is undergoing a significant transformation, and we are leading the charge. Every day, we come to work with the knowledge that our efforts have a tangible impact on people's lives, guided by our core values. Become part of our mission to invest in yourself, your career, and the financial landscape.Your RoleThe Borrow Data Science team is on the lookout for a Senior Data Scientist who will play a crucial role in driving growth across our Lending sectors by converting raw data into actionable insights that fuel our success. This position is perfect for an inquisitive data scientist who is driven to discover insights in advance of requests.To excel in this role, you must function as a strategic partner; you are more than just a technical executor—you are an analytical storyteller who bridges the gap between intricate data and business strategy. You will leverage technical skills in SQL, Python, dbt, and Airflow to build robust pipelines in Snowflake, while your true influence will manifest through leading cross-functional initiatives and advocating for data-driven decisions that shape the product roadmap.Key ResponsibilitiesProactive Insight Generation: Harness your curiosity to explore data deeply, uncovering trends and opportunities that may be overlooked, and share these findings proactively with leadership.AI Innovation: Serve as a catalyst for AI integration within the team. Identify and implement AI tools and workflows that enhance data engineering tasks, expedite analysis, and drive substantial business results.Analytical Storytelling: Transform complex quantitative analyses into clear, convincing narratives that enable business leaders to make informed, high-impact decisions.Strategic Leadership: Collaborate with cross-functional teams to optimize core product decisions, including funnel conversion, experimentation, and unit economics.

About AirwallexAirwallex stands as the premier unified payments and financial platform tailored for global enterprises. Our unique blend of proprietary infrastructure and advanced software empowers over 200,000 businesses across the globe, including notable names such as Brex, Rippling, Navan, Qantas, and SHEIN. We offer fully integrated solutions for managing everything from business accounts and payments to spend management, treasury services, and embedded finance on a global scale.Founded in Melbourne with a dynamic workforce of over 2,000 innovative professionals across 26 global offices, Airwallex is valued at $8 billion. We are backed by leading investors such as T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, positioning us at the forefront of creating the future of global payments and financial services. If you are ready to embark on the most ambitious journey of your career, we invite you to join us.Attributes We ValueWe seek builders with an entrepreneurial spirit who aspire for real impact, accelerated growth, and genuine ownership. You bring deep expertise and analytical thinking, driven by our mission and operating principles. You thrive in a fast-paced environment, demonstrating curiosity and making decisions based on foundational principles while balancing speed with thoroughness.With a humble and collaborative approach, you transform innovative ideas into tangible products and ensure projects are completed from start to finish. Leveraging AI, you work efficiently and solve problems quickly. Here, you will tackle complex, high-impact challenges alongside exceptional teammates and advance your career as we redefine the future of global banking. If this resonates with you, let's innovate together.Growth Data Science TeamThe Growth Data Science team is at the heart of Airwallex’s growth strategy, leveraging data and AI to create a sustainable competitive edge. We design and implement advanced solutions encompassing predictive modeling, personalization, LLM-powered systems, incentive optimization, and causal inference to drive significant growth throughout the customer journey.Discover more about our data science team in this blog.The RoleWe are on the lookout for a Senior Data Scientist to collaborate closely with our Growth and Marketing teams. Your role will involve designing, deploying, and refining impactful data science initiatives that drive our growth objectives.

Join the innovative team at tvScientific as a Senior Data Scientist, where your expertise in data analysis and machine learning will drive impactful decisions. You will collaborate with cross-functional teams to develop data-driven strategies that optimize our advertising solutions. Engage in deep statistical analysis and contribute to the advancement of our data science capabilities.

About FaireFaire is a pioneering online wholesale marketplace committed to the belief that the future is local. Independent retailers around the world are generating more revenue than Walmart and Amazon combined, yet they remain comparatively small. At Faire, we harness technology, data, and machine learning to unite this vibrant community of entrepreneurs globally. Imagine your favorite local boutique; we empower them to discover exceptional products from across the globe to stock their shelves. By providing the right tools and insights, we aim to create a level playing field, allowing small businesses to compete with larger retail and e-commerce giants.By nurturing the growth of independent businesses, Faire fosters positive economic impacts in local communities worldwide. We are seeking intelligent, resourceful, and passionate individuals to join our mission to bolster the shop local movement. If you share our commitment to community, we invite you to become part of ours.About this RoleAt Faire, we leverage the power of machine learning (ML) and data insights to transform the wholesale landscape, enabling local retailers to compete effectively against giants like Amazon and big box stores. Our talented team of data scientists and machine learning engineers specialize in developing algorithmic solutions for notification systems, advertising attribution, and Lifetime Value (LTV) predictions, with the ultimate aim of empowering local retail businesses.The Data Science team at Faire is tasked with creating and maintaining a diverse array of algorithms and models that drive our marketplace. We are dedicated to building machine learning models that enhance our customers' success.As a Data Scientist in the Retailer team, you will face a variety of challenges, such as optimizing logistics and freight costs and determining optimal credit limits. You will also play a crucial role in expanding Faire’s retailer base by enhancing Search Engine Optimization, personalizing landing pages for new retailers, and predicting retailer lifetime values. You will work closely with fellow data scientists, engineers, and product managers to execute projects that extract value from our unique, rich, and rapidly growing two-sided marketplace data.Our current team features experienced Data Scientists and Machine Learning Engineers from leading companies such as Uber, Airbnb, Square, Facebook, and Pinterest. Join us at Faire, where we aim to become a premier destination for data scientists and machine learning professionals!

About AirwallexAirwallex stands as the premier unified payments and financial platform for global enterprises. With our cutting-edge combination of proprietary infrastructure and innovative software, we empower over 200,000 businesses worldwide—including industry leaders like Brex, Rippling, Navan, Qantas, SHEIN, and many others—to manage everything from business accounts and payments to spend management and treasury solutions, all while facilitating embedded finance on a global scale.Founded in Melbourne, we are proud to have a dynamic team of over 2,000 talented and innovative professionals in technology, spread across 26 offices globally. With a valuation of $8 billion and support from top-tier investors such as T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is at the forefront of constructing the future of global payments and financial services. If you are prepared to embark on the most ambitious journey of your career, we invite you to join us.

Employee Applicant Privacy NoticeAbout Us:At SoFi, we are committed to shaping a brighter financial future.We are revolutionizing the way individuals perceive and engage with personal finance. As a leading financial services company and national bank, we leverage cutting-edge, mobile-first technology to assist millions of members in achieving their financial aspirations. In an industry experiencing rapid transformation, we pride ourselves on making a direct and positive impact on people's lives, guided by our core values. Join us to invest in your future, your career, and the financial landscape.The Role:The Compliance Senior Data Scientist will play a pivotal role in enhancing our Anti-Money Laundering (AML) Compliance program through model development, optimization, validation, and data architecture. This position is key in our ongoing efforts to combat financial crime, supporting AML governance initiatives, risk assessments, and inquiries.Key Responsibilities:- Drive the development, implementation, assessment, and validation of AML models, ensuring robust risk coverage across various product lines including banking, brokerage, and lending.- Oversee the maintenance, testing, and configuration of AML vendor solutions to guarantee sound design and performance.- Analyze and evaluate large datasets for quality and suitability for AML model development.- Architect advanced AML models utilizing machine learning and statistical methods for both supervised and unsupervised learning.- Ensure model designs incorporate AML compliance and regulatory requirements.- Document methodologies, data sources, assumptions, and validation results.- Lead governance and quality control initiatives across AML processes.

Join Windfall, a pioneering people data and AI company, where data science is at the heart of our mission. We are dedicated to transforming how organizations understand and leverage people data by equipping leading commercial and nonprofit partners with precise, actionable predictive models.We are seeking a product-focused Senior or Staff Data Scientist to be part of our Modeling & AI team. In this pivotal role, you will directly influence customer success by developing custom propensity models that tackle our clients' most pressing challenges. Collaborating closely with customer data and Windfall's extensive data resources, you will craft innovative solutions and create comprehensive modeling pipelines that convert data into tangible value.This position offers a unique chance to witness your contributions in action, working hand-in-hand with our clients to develop a range of models, from sophisticated marketing and lead scoring to donation likelihood models that enhance the missions of the world's leading nonprofit organizations.