Senior Research Data Scientist at abridge | New York City

Join Alloy - Where Your Career Thrives! Alloy is at the forefront of tackling identity risk for businesses offering financial products, empowering them to combat fraud effectively and expand their reach globally. Over 700 of the world's leading financial institutions and fintech startups rely on Alloy to manage fraud, credit, and compliance risks while gaining a comprehensive understanding of their customers. Our core values—Be Bold, Get Scrappy, Collaborate, and Celebrate Our Differences—drive us to create an inclusive workplace where you can flourish. Discover how Alloy has been consistently recognized as one of Inc. Magazine's Best Workplaces, Forbes America's Best Startup Employers, and Best Fintech to Work for by American Banker year after year. Learn more about our investors and our mission here.

Welcome to Alloy, Where Your Career Thrives! At Alloy, we tackle the identity risk challenges faced by companies offering financial products, empowering them to combat fraud and extend their services to a broader audience globally. Over 800 of the most prominent financial institutions and fintech companies rely on Alloy to manage fraud, credit, and compliance risks while gaining comprehensive insights into their customers. By embracing our core values: Be Bold, Get Scrappy, Collaborate, and Celebrate Our Differences, we are cultivating a vibrant workplace where you can grow, excel, and truly belong. We are proud to be consistently recognized among Inc. Magazine’s Best Workplaces, Forbes America’s Best Startup Employers, and Best Fintech to Work for by American Banker year after year. Discover more about our investors and our mission here.

Join Alloy as a Site Reliability Engineer and play a crucial role in ensuring the reliability, availability, and performance of our systems. You will work closely with development teams to design and implement robust infrastructure solutions that enable seamless user experiences. Your expertise will be vital in maintaining our high standards for uptime and efficiency.

Join Alloy - Where Your Career Thrives!At Alloy, we are at the forefront of tackling identity risk for businesses offering financial products. Our innovative solutions empower over 600 of the largest financial institutions and fintechs globally to combat fraud, manage credit, and ensure compliance, all while gaining a deeper understanding of their customers.Guided by our core values—Be Bold, Get Scrappy, Collaborate, and Celebrate Our Differences—we are committed to fostering a workplace where you can grow, excel, and truly belong. Join us as we celebrate our recognition as one of Inc. Magazine’s Best Workplaces, Forbes America’s Best Startup Employers, and Best Fintech to Work for by American Banker, year after year.Explore more about our investors and our story here.

Join the Alloy Team!Alloy is at the forefront of solving identity risk for companies offering financial products, empowering them to combat fraud and confidently serve a global customer base. With over 800 of the largest financial institutions and fintechs relying on Alloy, we help our partners manage fraud, credit, and compliance risks while providing a clear view of their customers.Our core values—Be Bold, Get Scrappy, Collaborate, and Celebrate Our Differences—cultivate an environment where you can thrive and belong. Join us and discover why we are consistently recognized as one of Inc. Magazine’s Best Workplaces, Forbes America’s Best Startup Employers, and Best Fintech to Work for by American Banker.Learn more about our investors and what we do here.

The City of New York is seeking a Data Scientist to help improve city services through data-driven insights. This role centers on analyzing large and complex datasets, building predictive models, and supporting city departments with clear, actionable findings. Role overview As a Data Scientist, the work involves examining diverse data sources, identifying trends, and translating raw information into practical recommendations. The position supports multiple city initiatives, providing analysis that informs policy and operational decisions. What you will do Analyze complex datasets from various city departments Develop predictive models to forecast trends and outcomes Deliver insights that help guide city programs and services Location This position is based in New York City.

Role Overview firststreet is hiring a Senior Data Scientist in New York City. This position focuses on building predictive models, analyzing large datasets, and turning complex data into practical insights that support business goals. What You Will Do Design and implement predictive models using machine learning and statistical methods Analyze complex datasets to uncover trends and patterns Work closely with colleagues from different teams to translate data findings into actionable recommendations Support business strategy and decision-making through advanced analytics Help strengthen firststreet’s overall data capabilities Who We’re Looking For Experienced in data analysis, machine learning, and statistical modeling Comfortable working with large and complex datasets Skilled at collaborating with cross-functional teams

Join Crosby as a Data Scientist, where you will leverage your analytical skills to transform data into actionable insights! In this role, you will work closely with cross-functional teams to develop predictive models and drive data-driven decision-making across the organization. Your expertise will help us innovate and enhance our products and services.

About PicklePickle is an innovative peer-to-peer rental marketplace that transforms the untapped potential of countless underutilized items in consumer closets into a thriving rental ecosystem. We simplify the process of renting high-quality products precisely when our customers need them, offering fast, convenient fulfillment that rivals traditional shopping experiences.Our vision is to create a unique commerce layer driven by dynamic local supply, making access more convenient for everyone. Pickle is rapidly expanding across the nation, with a significant presence in key local markets such as New York City, Los Angeles, and Miami. Our extensive marketplace boasts over 300,000 items available for rent, and we are just getting started.What sets Pickle apart is our remarkable peer-to-peer inventory, unparalleled convenience (with delivery times of under 2 days nationwide and under 2 hours locally), and a flexible, subscription-free model that allows users to rent exactly what they want, when they want it. Supported by our Series A funding secured in early 2025 from prominent investors like FirstMark and Craft, we are on a path to redefine access-driven shopping.About The RoleAs a Data Scientist at Pickle, you will serve as a strategic partner to our Founders, tackling the critical question: How do we scale efficiently?In this role, you will analyze the intricate dynamics of our two-sided marketplace. One moment, you may find yourself modeling price elasticity to understand how a 5% discount impacts our contribution margins. The next, you might delve into referral data to craft a viral loop that can halve our customer acquisition cost. Your mission is to uncover the underlying reasons behind every data trend, identifying friction points that hinder progress and behaviors that can catalyze substantial growth.If you are a driven individual who thrives on solving challenging problems and is relentless in your pursuit of solutions, this role is your ideal playground.ResponsibilitiesGrowth Strategy & AcquisitionPricing & Incentive Strategy: Develop and test dynamic pricing models and incentive schemes (e.g., first-order discounts, owner bonuses). Your analysis will help us stimulate demand and enhance conversion rates while protecting our contribution margins, ensuring each discount drives long-term ROI.The Growth Equation: Analyze our acquisition channels (Organic, Paid, Referral, Ambassadors) to identify which have the highest lifetime value to customer acquisition cost (LTV/CAC) ratios, guiding our investment strategies.

At Garner Health, our mission is to revolutionize the healthcare economy, ensuring high-quality and affordable care for everyone.We are fundamentally rethinking the healthcare landscape in the U.S. by collaborating with employers to redesign healthcare benefits using transparent incentives and potent, data-driven insights. Our strategy empowers employees to access higher-quality, more affordable care, creating a system that benefits all stakeholders. Patients attain better health outcomes, employers utilize healthcare funds more effectively, and physicians are incentivized to provide outstanding care rather than simply performing more procedures.Garner is recognized as one of the fastest-growing healthcare technology firms in the nation. Our solutions are trusted by the most discerning employers and providers in the industry, and we are assembling a team of talented, mission-driven professionals dedicated to making a substantial impact on healthcare at scale.About the Role:We are in search of an outstanding Applied Scientist to enhance our core search systems that power our product, particularly focusing on provider selection and recommendation algorithms. You will be instrumental in shaping how Garner identifies high-value providers for our members by developing evaluation frameworks, objective functions, and algorithms that optimize our search experience.This position is perfect for someone who thrives on tackling ambiguous, high-impact challenges and can convert complex real-world constraints into robust algorithmic solutions. You will collaborate closely with Product and Engineering teams to design and implement production algorithms that balance provider quality, affordability, and accessibility.Where You Will Work:This role is based in our New York City office. You must be willing to work in the office three days a week on Tuesday, Wednesday, and Thursday.Your Responsibilities:Develop and maintain the algorithms that drive Garner’s search functionalities.Create objective functions, scoring frameworks, and decision logic that balance competing priorities like quality, cost, and access.Transform ambiguous product and business challenges into rigorous algorithmic methodologies suitable for production deployment.Collaborate with engineers to scale production systems effectively.Assess when applied machine learning, optimization, heuristics, or rule-based methods are appropriate for a given challenge.Gain a deep understanding of the healthcare economy.

Join PortPro in transforming the drayage industry through our cutting-edge web-based operating system. As a rapidly expanding organization, we are dedicated to creating the most robust technology platform that optimizes supply chains for enhanced efficiency. Being part of our team during this exciting growth phase offers you a unique chance to contribute significantly to the global economy and make a meaningful difference in society.We are looking for a talented and experienced Data Scientist to become a vital member of our team. The ideal candidate will possess strong analytical skills, experience with advanced machine learning algorithms, and the capability to extract valuable insights from intricate data sets. Proficiency in coding, particularly with Node.js, and familiarity with the Amazon AWS technology stack is preferred. In this role, you will collaborate closely with our product teams and remote teams to deliver data-driven insights that will shape the future of our SaaS products. Excellent communication and teamwork skills are essential, as is the ability to thrive in a diverse, global environment.

Join Alloy and Make a Difference! At Alloy, we tackle the identity risk challenges faced by companies offering financial products. We empower over 800 of the world's leading financial institutions and fintechs to combat fraud, manage credit, and ensure compliance risk, all while enhancing their understanding of their customers. Our core values—Be Bold, Get Scrappy, Collaborate, and Celebrate Our Differences—foster a nurturing work environment where you can excel and feel a true sense of belonging. Year after year, we have been acknowledged as one of Inc. Magazine’s Best Workplaces, Forbes America’s Best Startup Employers, and recognized as a Best Fintech to Work for by American Banker. To learn more about our mission and values, visit us here.

Join adonis as a Senior Data Scientist, where you will spearhead innovative data projects that drive strategic decisions. Your expertise in data analysis, machine learning, and statistical modeling will be pivotal in optimizing our operations and enhancing product development. Collaborate with cross-functional teams to translate complex datasets into actionable insights, while mentoring junior data scientists to foster a culture of analytical excellence.

Join Mirage, an innovative AI-driven video platform that revolutionizes video production and editing through natural language processing. Our sophisticated models utilize contextual understanding to replicate the creative decisions of experienced editors, significantly enhancing productivity for teams while democratizing video creation for all.As a key member of our multidisciplinary team, you will confront some of the most challenging technical and creative dilemmas in generative media. In your role, you will address foundational issues that remain largely unresolved within the industry, making a substantial impact on the future landscape of creative expression.About UsExplore our Product (Captions by Mirage)Read our Research (Seeing Voices, technical white paper)Stay Updated (Follow Mirage on X)Featured in TechCrunch, Forbes AI 50, and Fast Company.Our InvestorsWe are privileged to have an exceptional group of investors and entrepreneurs supporting us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, and many more.Note: All roles require in-person attendance at our NYC headquarters located in Union Square.Role OverviewWe are seeking a Data Scientist to enhance our marketing strategies. In this pivotal role, you will collaborate with the Marketing, Product, and Finance teams to optimize acquisition performance, refine attribution models, and establish the metrics that will shape our company's growth trajectory.As the inaugural Data Scientist focused on marketing analytics, you will define key success metrics, assess funnel performance, and uncover insights that will drive our marketing efforts forward.

Join Arlo Technologies, a leader in innovative security solutions, as a Data Scientist. In this role, you will analyze complex datasets to drive insights and enhance our product offerings. You will collaborate with cross-functional teams to develop predictive models and algorithms that optimize our services, ensuring a seamless experience for our users.Your analytical skills will contribute to shaping the future of smart security, providing you with the opportunity to make a significant impact in a rapidly growing field.

At Garner, we are on a mission to revolutionize the healthcare economy, ensuring high-quality and affordable care for everyone.We are fundamentally redefining healthcare delivery in the U.S. by collaborating with employers to redesign healthcare benefits through clear incentives and robust, data-driven insights. Our innovative approach helps employees access higher-quality, lower-cost care, fostering a system that benefits all stakeholders. Improved health outcomes for patients, more effective spending for employers, and enhanced rewards for physicians who deliver exceptional care rather than simply increasing procedure volume are at the core of our vision.As one of the fastest-growing healthcare technology companies in the nation, Garner is trusted by leading employers and providers in the industry. We are assembling a team of talented, mission-driven professionals eager to create a significant impact in healthcare at scale.About the Role:We are looking for a talented Data Scientist to join our Garner Health Intelligence team to enhance our provider data insights. You will collaborate with clinical researchers, data scientists, and data engineers to refine the models and rules we utilize to assess provider performance. Your work will address critical questions, such as identifying which providers yield better surgical outcomes and what data concepts are essential for improving our analyses. The results of your efforts will directly influence our member recommendations and provider-facing data products.Where You Will Work:This position is based in our New York City office. Candidates must be willing to work on-site three days a week: Tuesday, Wednesday, and Thursday.What You Will Do:Collaborate with data scientists and clinical experts to define provider performance metrics, apply statistical methodologies, and model provider behavior.Lead the development and enhancement of tools for writing, evaluating, and integrating rules measuring provider behaviors.Design and maintain data-driven algorithms, including AI and machine learning models, to refine our provider recommendation estimates.Construct scalable data pipelines for ingesting, cleaning, and enriching healthcare provider data.Work cross-functionally with product, engineering, research, and operations teams to transform business needs into data-driven solutions.

The City of New York is hiring a Data Engineer to support essential data projects that inform city decisions and strengthen public services. This full-time role is based in New York City and centers on using data analytics to address challenges across city operations. Role overview As a Data Engineer, you will play a key part in initiatives that shape how the city uses information to make choices and deliver services. The work involves collaborating with a team focused on improving processes and outcomes for residents. What you will do Contribute to projects that gather, organize, and analyze data for city departments Help translate complex data into practical insights for decision-makers Work with colleagues to find solutions that enhance city operations and public services Location This position is based in New York City and requires full-time availability.

About PebblePost PebblePost stands at the forefront of performance marketing, focusing on programmatic direct mail and CTV. Our innovative technology harnesses both online and offline data to produce measurable, incremental results at scale for leading global brands. With the capability to pinpoint and engage nearly every household in the U.S., coupled with exclusive access to over $100 billion in annual transactions and vast billions of real-time intent signals, PebblePost ensures unmatched precision, scale, and effectiveness in marketing campaigns. About the Role As the Insights Manager, you will play a pivotal role in extracting valuable insights from complex data sets, collaborating with brands to devise optimization strategies, and effectively communicating your findings to stakeholders. Working with cross-functional teams to spearhead data-driven marketing initiatives is essential to our success. You will report directly to the Sr. Director of Analytics and Insights. Your Responsibilities: Analyze data sets to uncover trends, patterns, and insights that inform marketing performance. Interpret data and provide actionable insights to both internal and external stakeholders. Utilize statistical methods and conduct predictive modeling analysis to forecast marketing trends and outcomes. Guide brands through insight and strategy sessions. Propose strategies for optimizing campaigns based on data analysis, A/B testing, and market research. Develop tailored testing plans for brands addressing their unique market challenges. Collaborate with account management teams and clients to implement data-driven decisions and enhance campaign performance. Travel approximately 20 days per year. Your Qualifications: 5+ years of experience in marketing analytics, data analysis, or a related role within a digital marketing context. Deep understanding of performance marketing, measurement concepts, digital marketing channels, and customer behavioral analytics. Proven ability to translate data into actionable insights for clients and internal teams. Experience presenting insights to both technical and non-technical audiences. Proficient in engaging with clients, including senior-level executives, with a technical aptitude to liaise with business intelligence and data science experts. Familiarity with data visualization tools such as Domo, Tableau, or Power BI. Proficiency in statistical analysis tools like R, Python, or SQL.

Join the dynamic team at the City of New York as a Data Analyst. In this pivotal role, you will leverage data analytics to drive decision-making processes and optimize services for the citizens of New York. Your expertise will contribute to various projects aimed at enhancing operational efficiency and delivering impactful insights.