Senior Data Scientist at firststreet | 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

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.

Company & Mission Overview:Our mission: We exist to bridge the gap between climate change and financial risk.Who we are: First Street stands as the benchmark for Climate Risk Financial Modeling. Over the last decade, we have transformed climate risk into actionable financial insights for investors, businesses, communities, and property owners globally. With support from leading firms like Innovation Endeavors, Galvanize, General Catalyst, and more, our team has successfully raised millions to revolutionize the global economic perspective on climate change.Explore our culture here and discover what Climate Risk Financial Modeling entails here.Our data: We have gathered top climate scientists and economists to create transparent, peer-reviewed methodologies for assessing past, present, and future climate risks associated with various properties and asset classes, including real estate, infrastructure, and corporate entities. Utilizing physics-based deterministic models, we forecast the probability of floods, wildfires, hurricanes, and other hazards worldwide, along with their potential damages and downtimes.Our customers: We strive to integrate climate risk data into every financial decision made today. Our clientele includes:Institutional investors like Norges Bank Investment Management and Blackstone.Banking institutions such as Bank of America and Fifth Third.Government entities including Fannie Mae and the US State of Connecticut.Millions of everyday users on platforms like Zillow, Redfin, Realtor.com, Homes.com, and beyond.Join us and leverage your skills to make a positive impact on the world.Team & Role Overview:We are in search of a passionate Senior Data Engineer to become part of our dynamic team. The ideal candidate will possess a strong commitment to environmental sustainability, a deep appreciation for information technology, and an understanding of the critical role data plays in making informed decisions.

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 abridge as a Senior Research Data Scientist and play a key role in shaping the future of healthcare technology. You will leverage advanced data analytics and machine learning techniques to extract insights from complex datasets, driving innovation in our products and services.Your work will directly impact patient care and improve health outcomes through data-driven decision-making. Collaborate with cross-functional teams to design and implement research projects that contribute to our mission of transforming healthcare.

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 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.

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.

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.

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.

At Garner, we are on a mission to revolutionize the healthcare economy, ensuring everyone has access to high-quality and affordable care.We are fundamentally rethinking the healthcare landscape in the U.S. by collaborating with employers to reshape healthcare benefits through clear incentives and powerful, data-driven insights. Our innovative approach empowers employees to access higher-quality, lower-cost care, establishing a system that benefits all stakeholders. Patients enjoy improved health outcomes, employers utilize healthcare dollars more efficiently, and physicians are rewarded for delivering exceptional care rather than merely increasing procedures.Garner is recognized as one of the fastest-growing healthcare technology companies nationally. Our solutions are trusted by leading employers and healthcare providers, and we are assembling a team of passionate, mission-driven individuals eager to create a significant impact on healthcare at scale.About the Role:We are in search of a remarkable Staff Data Scientist to join our Garner Health Intelligence team, focusing on advancing our provider data insights. In this role, you'll collaborate with clinical researchers, data scientists, and data engineers to refine the models and rules we use to assess provider performance. Your contributions will directly influence member recommendations and our provider-facing data products.As a technical leader, you will elevate our analytical standards, enhance model-building processes, and mentor team members in deploying data science code.Work Location:This position is based in our New York City office. Candidates must be available to work onsite three days a week, specifically on Tuesdays, Wednesdays, and Thursdays.Your Responsibilities:Collaborate with product managers and clinical experts to lead projects that shape our definitions and measurements of provider cost and quality.Drive the development and enhancement of tools for writing, assessing, and integrating rules that measure provider behavior.Design and maintain data-driven algorithms, including AI and machine learning models, to enhance our estimates of provider recommendations.Act as a subject matter expert in statistical modeling, refining evaluation methods for current models and future modifications.Work alongside data engineers to create scalable data pipelines that effectively ingest, clean, and enrich healthcare provider data.Engage cross-functionally with product, engineering, research, and operations teams to convert business needs into data-driven solutions.Define data science methodologies and best practices for the team.

About NeloNelo is a premier consumer fintech and e-commerce platform in Mexico, boasting over $500 million in annualized GMV and more than $70 million in annualized revenue. Our vision is to enhance the purchasing power of consumers across Latin America by providing a modern alternative to traditional credit cards.Nelo has successfully secured over $40 million in venture capital from esteemed investors such as Homebrew, Two Sigma Ventures, and Susa Ventures. Additionally, we have obtained a $100 million asset credit facility from Victory Park Capital.Our dynamic team includes seasoned professionals from top technology firms like Uber, Amazon, Rappi, and DiDi. We take pride in our agility, intellectual rigor, and operational efficiency. Nelo operates offices in both Mexico City and New York City.Why This Role Stands OutUnlike many Data Science positions that primarily focus on optimizing advertisements or marginally enhancing recommendation systems, this role is fundamentally different.At Nelo, your analytical models become integral to our product. You will engineer the decision-making engine that dictates credit access in an emerging market, tackling complex constrained optimization problems where subpar mathematics could lead to financial repercussions.We seek individuals who are discontented with the 'black box' methodologies of contemporary libraries and possess a genuine understanding of the statistical theories and causal relations underpinning the algorithms. If you are eager to apply academic-level rigor to a rapidly scaling profit and loss statement, this is your opportunity.Your Responsibilities:Unravel the

About NeloNelo is an innovative consumer fintech and e-commerce platform based in Mexico, generating over $500 million in annualized gross merchandise volume (GMV) and $70 million in annualized revenue. Our mission is to empower consumers across Latin America by creating a modern alternative to traditional credit cards.Having secured more than $40 million in venture capital from esteemed investors such as Homebrew, Two Sigma Ventures, and Susa Ventures, Nelo has also acquired a $100 million asset credit facility from Victory Park Capital.Our agile team comprises seasoned professionals from leading technology firms, including Uber, Amazon, Rappi, and DiDi. We pride ourselves on our rapid execution, intellectual rigor, and operational efficiency. Nelo operates offices in both Mexico City and New York City.About The RoleAs a Data Scientist at Nelo, you will play a crucial role in enhancing the performance of our credit and marketplace products. Your responsibilities will include:Developing machine learning and causal models that inform underwriting and portfolio management decisions.Creating algorithms for credit scoring, personalization, ranking, and pricing.Designing and analyzing ongoing experiments to derive insights that guide product and algorithm development.Leading projects related to machine learning infrastructure, including operations and observability.This position necessitates a profound understanding of machine learning and statistical principles, alongside the ability to collaborate across various teams.We seek a candidate with a robust technical foundation and clear analytical thinking. Strong communication skills and the capability to drive impactful decisions based on data analyses are essential.Note: This role requires in-office work in New York City.

About EliseAIEliseAI is dedicated to transforming the critical sectors of housing and healthcare. We recognize that securing a home and accessing quality healthcare are essential yet often challenging tasks. By seamlessly integrating AI agents into existing workflows, we enhance efficiency, reduce costs, and significantly improve user experiences.Housing: Our platform simplifies the processes for renters—making apartment tours, lease signings, maintenance requests, and communication with property teams effortlessly manageable, all from a centralized hub.Healthcare: We streamline appointment scheduling, intake forms, and patient-provider communication, allowing all parties to prioritize health over administrative burdens.At EliseAI, organizations can decrease manual workloads, enhance accessibility, and create a seamless experience across vital services. Recently, we secured a $250 million Series E funding led by Andreessen Horowitz to further advance our mission.About The RoleWe are in search of exceptional Machine Learning experts to join our dynamic research team. Ideal candidates will possess strong mathematical and quantitative backgrounds, advanced programming skills, and impressive academic credentials, including but not limited to mathematicians, theoretical physicists, and computer scientists, all with a passion for applying their expertise to tackle real-world problems.As a Senior Research Scientist, you will explore cutting-edge challenges in machine learning and large language models, develop predictive algorithms to enhance our AI capabilities, and conduct systematic analyses of extensive datasets. You will lead comprehensive research initiatives aimed at advancing EliseAI's core models and play a pivotal role in shaping our research agenda. If you are eager to leverage your academic experience in a fast-paced startup setting, we invite you to apply.Key ResponsibilitiesIdentify pressing questions in tenant engagement, conversational AI, and LLM safety; convert them into structured projects.Design and execute experiments, develop prototypes, and manage large-scale data analysis.

At Profound, our mission is to empower companies to harness and manage their AI presence effectively. As a Data Scientist, you will be instrumental in mapping the interactions between humans and AI, enabling brands to transform AI into their most formidable advocates. Your role will involve constructing predictive models, creating innovative sampling methodologies, and enhancing brand visibility in AI-centric search environments like ChatGPT and Perplexity. Your contributions will significantly influence how businesses define their footprint in the generative AI landscape.Key ResponsibilitiesDevelop and enhance predictive models to analyze and forecast AI-driven search patterns.Design advanced sampling and data classification techniques to elevate AI-driven brand insights.Utilize large language models (LLMs) and natural language processing (NLP) to derive valuable insights from unstructured text data.Manage large datasets, ensuring efficient querying, cleaning, and classification processes.Conduct A/B tests and implement experimental frameworks to evaluate impact.Collaborate with the founding team to translate complex data insights into actionable business strategies.Candidate ProfileMinimum of 3 years of experience in advanced analytics within technology, marketing, or advertising sectors.Proficient in Python, R, and SQL, with practical experience in querying and analyzing large datasets.Strong expertise in data sampling methods such as stratified sampling, bootstrapping, and extrapolation.Solid foundation in predictive modeling and the application of machine learning techniques to predict event frequency.In-depth knowledge of large language models, their constraints, and practical applications.Enthusiastic about staying updated on AI research, particularly in multi-modal AI and advancements in LLMs.Adaptable to a fast-paced, high-performance startup culture.Work EnvironmentThis role will be based in our Union Square, NYC office, designed for individuals who thrive on speed, iteration, and impactful contributions. We are open to providing visa sponsorship for eligible international candidates.The expected base salary range for this position is between $140,000 and $260,000. Profound offers a competitive total compensation package that includes base salary, equity, and a comprehensive array of benefits. The final compensation will be determined by factors such as experience, qualifications, and internal equity.

The City of New York seeks a PASSPort Data Analyst to support public service improvements through careful data analysis. This position centers on gathering, interpreting, and presenting data that informs city operations. Role overview The PASSPort Data Analyst examines complex datasets related to city services. The work involves identifying trends, generating reports, and helping teams understand how data can guide better decisions for New York City’s public programs. Community impact Analysis from this role directly influences decisions that affect residents and city operations. Projects handled by the PASSPort Data Analyst contribute to more efficient, effective services for New Yorkers.