Senior Program Scientist at Schmidt Sciences | New York, NY

Schmidt Sciences is a nonprofit organization established in 2024 by Eric and Wendy Schmidt with a mission to expedite scientific knowledge and breakthroughs through the application of innovative tools aimed at fostering a sustainable planet. The organization emphasizes impactful research in fields such as AI and advanced computing, astrophysics, biosciences, climate science, and space, while also supporting diverse researchers across various disciplines via its science systems program.About the AI & Advanced Computing Institute ("AI Institute")The AI Institute at Schmidt Sciences functions as a grantmaking and research entity that recognizes AI as a revolutionary catalyst for scientific discovery and societal advancement. Over the coming decade, we aspire to support leading researchers committed to developing AI systems that are not only competent and trustworthy but also capable of collaborating effectively with human scientists in driving the next wave of breakthroughs. Additionally, we will engage in select, strategic investments in beneficial AI sectors where philanthropic efforts can provide distinct advantages. By enhancing the necessary infrastructure, foundational research, and specialized programs within scientific disciplines, the AI and Advanced Computing Institute will cultivate the conditions required for AI-fueled discoveries to reach their full potential.The AI Institute currently focuses on three pivotal areas:AI for Science – leveraging AI to enhance hypothesis generation, experiment execution, data analysis, and knowledge creation, all aimed at accelerating the discovery process. Exploratory initiatives encompass post-transistor hardware for AI and AI applications in scientific simulations.Science of AI – investigating and managing AI systems to mitigate potential risks associated with advanced AI technologies. This area focuses on enhancing AI's reliability and performance in sectors with limited commercial appeal. Existing programs include AI2050 and the Science of Trustworthy AI. Emerging projects address topics like AI interpretability and the evolution of multi-agent communication.Beneficial AI – establishing scientific foundations and datasets to better understand the broader human implications of AI. This includes significant grantmaking initiatives such as our programs aimed at utilizing AI to accelerate humanities research (Humanities and AI Virtual Institute) and quantifying AI's impact on the labor market (AI@Work).

Schmidt Sciences is a nonprofit organization established in 2024 by Eric and Wendy Schmidt, dedicated to accelerating scientific advancements and breakthroughs using cutting-edge tools to promote a sustainable planet. The organization emphasizes research in impactful fields such as AI and advanced computing, astrophysics, biosciences, climate science, and space exploration while also supporting a diverse array of researchers through its science systems program.About the AI & Advanced Computing Institute (“AI Institute”) The AI Institute at Schmidt Sciences operates as a grantmaking and research entity that recognizes AI as a pivotal driver for scientific discovery and societal advancement. Over the upcoming decade, we aim to empower leading researchers focused on enhancing AI systems to be competent, trustworthy, and reliable partners for scientists in groundbreaking discoveries. Our investments will target beneficial AI domains where philanthropy can make a significant difference. By fostering enabling infrastructure, fundamental research, and specialized scientific programs, the AI and Advanced Computing Institute will cultivate an environment where AI-enabled discoveries can thrive. The AI Institute currently concentrates on three core areas:AI for Science – Utilizing AI to enhance the scientific process, including hypothesis generation, experimental execution, data analysis, and knowledge production, all aimed at accelerating discovery. Key initiatives include exploring post-transistor hardware for AI and AI applications in scientific simulation.Science of AI – Investigating and managing AI systems to address potential risks associated with advanced AI. This includes improving AI reliability and performance in less commercially viable areas. Current programs comprise AI2050 and Science of Trustworthy AI, with explorations into AI interpretability and multi-agent communication evolution.Beneficial AI – Establishing scientific foundations and datasets to comprehend the broader societal impacts of AI. This encompasses high-impact grantmaking initiatives, such as leveraging AI to expedite humanities research (Humanities and AI Virtual Institute) and assessing AI's impact on the labor market (AI@Work). These initiatives are interconnected with other Schmidt Sciences efforts, like the Virtual Institute for Scientific Software (VISS), which aims to enhance the pace of scientific discovery through the development and support of high-quality, community-focused scientific software.

Schmidt Sciences is a pioneering nonprofit organization established in 2024 by Eric and Wendy Schmidt, dedicated to propelling scientific knowledge and breakthroughs through cutting-edge tools aimed at fostering a sustainable planet. The organization emphasizes impactful research across diverse fields including AI and advanced computing, astrophysics, biosciences, climate science, and space, while also supporting researchers through its comprehensive science systems program.About the AI & Advanced Computing Institute (AI Institute) The AI Institute at Schmidt Sciences is a dynamic research and grantmaking entity that recognizes AI as a pivotal catalyst for scientific discovery and societal advancement. Our mission over the next decade is to empower key researchers who will develop AI systems that are competent, trustworthy, and reliable, enabling fruitful collaborations with human scientists to foster the next generation of discoveries. We are committed to investing in beneficial AI initiatives where our philanthropic efforts can create unique advantages, thereby establishing a robust infrastructure for AI-enabled discoveries. The AI Institute focuses on three primary areas: AI for Science – Enhancing scientific methodologies through AI, optimizing hypothesis generation, experiment conduction, data analysis, and knowledge creation to expedite the discovery process. Current exploratory projects include advancements in post-transistor hardware for AI and AI-enhanced scientific simulations.Science of AI – Investigating and managing AI systems to mitigate risks associated with advanced AI. Our efforts aim to boost AI reliability and performance in areas lacking commercial interest, with ongoing programs like AI2050 and the Science of Trustworthy AI, alongside exploratory programs focusing on AI interpretability and the evolution of multi-agent communication.Beneficial AI – Laying scientific foundations and curating datasets to understand AI's broader human impacts. This encompasses impactful grantmaking initiatives, such as the Humanities and AI Virtual Institute, which aims to leverage AI for advancements in humanities research, and the AI@Work program that quantifies AI's influence on the labor market. Schmidt Sciences encompasses various programs associated with the AI Institute, including the Virtual Institute for Scientific Software (VISS), aimed at enhancing scientific software capabilities.

Schmidt Sciences is a forward-thinking nonprofit organization founded in 2024 by Eric and Wendy Schmidt, dedicated to advancing scientific knowledge and fostering breakthroughs with innovative tools aimed at ensuring a sustainable planet. Our primary focus is on impactful research in key areas, including artificial intelligence (AI) and advanced computing, astrophysics, biosciences, climate science, and space exploration, while also supporting researchers across various disciplines through our science systems program.About the AI & Advanced Computing Institute (“AI Institute”) The AI Center at Schmidt Sciences is a pioneering grantmaking and research entity that recognizes AI as a transformative driver of scientific discovery and societal advancement. Our objective over the next decade is to empower key researchers dedicated to enhancing the competency, trustworthiness, and reliability of AI systems, enabling them to collaborate effectively with human scientists in groundbreaking discoveries. Additionally, we intend to strategically invest in beneficial AI sectors where philanthropy can create unique advantages. By bolstering essential infrastructure, foundational research, and targeted programs across scientific disciplines, the AI and Advanced Computing Center aims to facilitate the conditions necessary for AI-enabled discoveries to fulfill their potential. The AI Center focuses on three primary areas: 1. AI for Science – leveraging AI to enhance how scientists formulate hypotheses, conduct experiments, analyze data, and generate new knowledge, specifically accelerating the discovery process. 2. Science of AI – exploring and managing AI systems to mitigate risks associated with advanced AI, while improving reliability and performance in areas often neglected by commercial interests. Current initiatives include AI2050 and the Science of Trustworthy AI. 3. Beneficial AI – establishing scientific foundations and datasets to understand the broader human impacts of AI, including high-impact grantmaking programs aimed at utilizing AI to accelerate research in the humanities and assessing AI's effects on the labor market.

Join Schmidt Entities as a Senior Engineer, where you will play a pivotal role in driving innovative engineering solutions. As an integral part of our team, you will leverage your expertise to tackle challenging projects, ensuring that our clients receive top-notch service and results. Your contributions will directly impact our growth and success in the industry.

The Office of Building Water System Oversight (BWSO) within the Bureau of Environmental Sciences and Engineering (ESE) is dedicated to ensuring the safety and compliance of engineered water systems. This includes conducting essential inspections and implementing regulations to enhance the operational conditions of various systems, including cooling towers, water tanks, evaporative condensers, internal plumbing, and wastewater systems, all aimed at mitigating associated risks.Key Responsibilities:- Strategically directing and planning annual field inspection objectives for the BWSO unit, which includes scheduling, logistical support, and addressing fieldwork challenges while monitoring progress and evaluating inspection data.- Leading and supervising a team of Scientist Water Ecologists II, I, and Trainees by organizing workflows and ensuring clarity in task assignments.- Overseeing program projects related to registrations, compliance follow-ups, and professional development for field operations teams.- Setting performance goals, mentoring staff, conducting individual and team meetings, and providing performance evaluations.- Coordinating rapid response activities during community investigations and building evaluations associated with the Department's Legionnaires' disease surveillance system.- Utilizing technical writing and analytical skills to interpret water management programs, operational records, and regulatory compliance standards.- Acting as a primary liaison for customer service, addressing inquiries from building owners and managers about regulatory programs and best practices.- Taking a proactive leadership role in identifying and mitigating environmental health hazards in accordance with NYC regulations.- Representing the Department in enforcement actions, including serving violations to business owners and attending Tribunal hearings to adjudicate cases based on inspection findings.Field Inspections:- Conducting inspections across the five boroughs, focusing on various building types and their water supply and distribution systems.

Teamwork Makes the Stream Work! Join Roku - Revolutionizing TV WatchingRoku is the leading TV streaming platform across the U.S., Canada, and Mexico, on a mission to empower every television worldwide. We pioneered the streaming experience and aim to connect consumers with their favorite content, support content publishers in audience growth and monetization, and offer advertisers unique opportunities to engage with consumers.From day one at Roku, your contributions will be valued as we’re a dynamic public company where every team member plays a vital role. Here, you’ll have the chance to enhance the experiences of millions of TV streamers globally, while gaining significant insights and experience across various disciplines. About Our TeamThe Core Analytics Team is a centralized unit focused on providing data-driven insights that foster business and product success. We collaborate closely with Product, Engineering, and Marketing teams to deliver outstanding customer experiences while maximizing business value. The RoleWe are seeking a Senior Data Scientist to join our Core Analytics team, specializing in Customer Intelligence within the broader Planning & Optimization group. Your role will involve answering critical business questions from senior leaders with clear, actionable insights. You’ll engage in customer analytics that directly influence Roku’s growth in engagement, retention, and monetization across the streaming ecosystem, working with cross-functional leaders and owning significant inquiries.This position sits at the nexus of analytics and business strategy. We need someone who can translate customer behaviors into metrics and narratives that help shape our customer strategy and measure the effects of initiatives on customer actions. You’ll transform vague stakeholder needs into compelling analytical narratives and executive-ready presentations. A significant aspect of this role involves assessing incremental impact and discerning genuine effects from noise. Familiarity with causal inference and experimentation is valuable; deep specialization is a bonus but not mandatory.For New York Only - The estimated annual salary range is $157,000 to $187,000.

At Headway, we are on a transformative mission to create an accessible mental health care system for everyone. Our innovative technology connects individuals with exceptional therapists through the first software-driven national network of providers who accept insurance.In the United States, 1 in 4 individuals has a treatable mental health condition, yet the majority of providers do not accept insurance, rendering therapy unaffordable for many. At Headway, we are committed to reshaping mental healthcare by simplifying the process for therapists to accept insurance and expand their practices.Founded in 2019, Headway has rapidly evolved into a diverse national network comprising over 60,000 mental healthcare providers across all 50 states. Our platform has successfully served over 1 million patients, and we are proud to be a Series D company backed by prominent investors including a16z (Andreessen Horowitz), Accel, GV (formerly Google Ventures), Spark Capital, Thrive Capital, Forerunner Ventures, and Health Care Service Corporation.We aim to make your time with us the most impactful experience of your career. Join us in revolutionizing mental healthcare for the better.About the RoleWe invite you to be part of our team and contribute to the development of a decision engine that enhances mental health outcomes.As a Senior Data Scientist, you will play a pivotal role within a cross-functional product team, transforming complex, real-world data into actionable insights. You will ensure we capture the right data, design effective experiments that reveal the drivers of outcomes, and swiftly translate findings into implementable recommendations. Once insights are validated and valuable, you will operationalize them through predictive models that elevate the experiences of both providers and patients.If you thrive in uncertain environments, relish tackling challenging problems, and seek to make a meaningful impact, you will find a great fit here.Your ResponsibilitiesAnalytics Partner: Collaborate closely with Product, Engineering, Design, Operations, and Clinical stakeholders to define questions, metrics, guardrails, and decision-making criteria.Rigorous Experimentation: Design and analyze A/B tests and quasi-experiments, establishing clear hypotheses, power considerations, and success criteria upfront.Behavior Strategy Connection: Leverage funnel, cohort, segmentation, and lifecycle analyses to assess how users and providers interact with Headway and identify where product modifications will yield the most significant impact.Causal Inference: Apply causal inference methodologies to enhance our experimental findings.

Ekimetrics stands at the forefront of data science and artificial intelligence solutions, delivering innovative strategies since 2006. Our mission revolves around harnessing data science to enhance marketing and business performance, all while steering our clients towards sustainable outcomes.If you possess a passion for decoding complex business challenges with data and AI, and you aspire to shape your career trajectory, Ekimetrics is the perfect place for you!At our New York office, we specialize in Marketing Analytics, focusing on our unique ‘MMO’ (Marketing Mix Optimization) offering that combines our analytics-as-a-service expertise with our proprietary data and AI platforms. Our team of 400 diverse experts, spanning business, data, and technology, ensures seamless integration between strategy and execution, leading to accelerated delivery times and measurable business impact. Key Highlights about Ekimetrics· Over 400 data science professionals globally· More than 1,000 diverse projects and 350+ clients· Offices located in Paris, Hong Kong, London, and New York· Awarded UK Data Company of the Year 2023· Recognized as a Great Place to Work in 2023· Partnered with Microsoft for sustainability initiatives· Acknowledged as a leader in “Marketing Measurement & Optimization” by Forrester Wave 2023

Join Us as a Senior Data ScientistAt bluefishai, we are on a mission to redefine the AI landscape with innovative, customer-focused solutions. We are looking for a passionate and experienced Senior Data Scientist who thrives in dynamic environments and is eager to take full ownership of the data science lifecycle—from concept to deployment. This is your chance to make a significant impact on our business and our customers' experiences.In this role, you will work independently on your projects, collaborating with cross-functional teams while providing technical leadership. Your enthusiasm for hypothesizing, testing ideas, and implementing experiments will drive valuable insights that contribute directly to our business objectives.Your Responsibilities Will Include:Leading data science projects from start to finish: Define problems, generate hypotheses, model data, conduct tests, and deploy solutions.Managing your data pipeline: Design, build, and maintain scalable workflows and machine learning systems autonomously.Conducting customer-centric experimentation: Design and execute A/B tests and other experiments aimed at enhancing user experience and product performance.Identifying opportunities for innovation: Propose new research and experimentation ideas, rapidly test them, and assess their business impact.Collaborating across teams: Work closely with engineering, product, and design teams while taking full ownership of your projects.Transforming data into actionable strategy: Develop clear insights that directly inform product development and guide company direction.Staying hands-on with cutting-edge technologies: Engage with advanced tools and models, particularly in the realm of large language models (LLMs) and generative AI, integrating them into production as needed.

Join doppel as a Data Scientist and become an integral part of our innovative team. In this role, you will leverage data analytics to drive strategic decision-making and enhance our product offerings. You will be responsible for analyzing complex datasets, developing predictive models, and presenting your findings to stakeholders.

Join HelloFresh as a Senior Applied Scientist on our Demand Forecasting team, where you will play a pivotal role in reshaping how we predict and manage customer demand across our US supply chain. Your contributions will be vital at the nexus of data science, optimization, and operations, driving essential business decisions spanning menu planning, procurement, and fulfillment.In this role, you will collaborate closely with product, engineering, and operations teams to design, test, and implement sophisticated forecasting and decision-making systems. You will leverage cutting-edge machine learning and statistical methods to enhance forecast precision, quantify uncertainties, and facilitate superior planning choices. Moreover, you will be instrumental in transforming complex scientific insights into scalable tools and strategies, enhancing efficiency and minimizing waste across the supply chain.

The City of New York is hiring a Senior Program Manager to guide major projects that impact residents across the city. This position calls for strong leadership and a strategic approach to managing programs that touch millions of New Yorkers. Key responsibilities Direct and coordinate programs from initial planning through to execution Track progress to ensure objectives and deadlines are achieved Work closely with teams and stakeholders from various city departments Spot potential risks and address issues as they come up Requirements Demonstrated experience leading complex projects or programs Strong skills in organization and communication Background in strategic planning and project oversight This role is based in New York City and supports initiatives with citywide reach.

Join cape as a Data Scientist, where you'll leverage data analysis and statistical modeling techniques to provide actionable insights and drive strategic decision-making. Collaborate with cross-functional teams to solve complex business problems and enhance our data-driven culture. Your expertise will help shape our data initiatives and improve our operational efficiencies.

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

Role overview The Program Counselor at the City of New York plays a direct role in supporting community programs designed to benefit local residents. The position involves daily interaction with participants, providing guidance and encouragement as they work toward their goals. Program Counselors help connect individuals with resources and offer steady support throughout their involvement in city programs. What you will do Meet individually with program participants to understand their needs and connect them with available city resources. Provide practical advice and support to help individuals achieve both personal and program-related goals. Work alongside community partners, city staff, and other stakeholders to improve program effectiveness. Support the City’s broader mission of community development through consistent engagement and program assistance. Location This role is located in New York, NY.

Role Overview flex is looking for a Senior Data Scientist & Analytics professional to join the Product team in New York. This role focuses on using data analysis and statistical modeling to inform decisions and improve product outcomes. What You Will Do Work closely with teams across disciplines to analyze complex datasets Extract insights that guide product strategy and development Apply statistical models to evaluate and enhance product performance Location This position is based in New York, New York, United States.

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.

Schmidt Sciences is a pioneering nonprofit organization established in 2024 by Eric and Wendy Schmidt, dedicated to advancing scientific knowledge and breakthroughs through cutting-edge tools aimed at fostering a sustainable planet. Our focus includes impactful research in AI, advanced computing, astrophysics, biosciences, climate, and space, along with support for researchers across diverse disciplines via our science systems program.Position OverviewSchmidt Sciences is excited to invite recent PhD graduates in AI and computer science to engage in a 12-18 month fellows-in-residence program. Reporting to the Director of the AI Institute, fellows will dedicate their time to both supporting the AI Institute (including the exploration of new grantmaking initiatives) and undertaking specific research projects that align with the Institute's strategic objectives. Up to four fellows will be selected for hire in 2026, with applications being reviewed on a rolling basis.We are particularly interested in candidates with expertise in the following areas:- AI agent interoperability and emerging communication within multi-agent systems- AI applications in scientific discovery- Hardware-enabled verification of AI agreements- The influence of AI on the labor market- Research in trustworthy AI and alignment- Note: The AI Institute's research priorities will evolve with the growth of the Institute and the rapid advances in AI technologies, so future cohorts may focus on different areas.