Data Scientist at Momenti | New York

Company Overview:At Momenti, we are transforming the way content is experienced. Our innovative approach to video brings immersive, interactive experiences that engage audiences like never before. We believe that content should evoke emotion and foster deep connections, and we are at the forefront of this revolution.As a cutting-edge startup, Momenti specializes in Gesture Interactive Video (GIV) technology that reacts to user gestures. Our team is developing robust software for content creation, editing, and playback, powered by our unique media model. We also focus on advanced data analysis technologies to understand user interactions better, enhancing the quality of our media content. Explore our technology demonstration at https://momenti.tv.Join us in our mission to capture and analyze gesture interaction data in real-time, providing valuable insights that improve user experiences. We are building a comprehensive data pipeline and enhancing data storage and query functionalities to turn data into actionable intelligence. We invite engineers who are passionate about data and technology to become part of our journey.

At Momenti, we are pioneering a new era of content creation, transforming traditional media into immersive experiences that resonate deeply with audiences. Our focus is on interactive video that dismantles the 4th wall, fostering profound connections and emotions. Join us in redefining audience engagement and bringing moments to life in an innovative way.Job Overview:We are looking for a skilled and dedicated Security Engineer to become our inaugural security hire at Momenti, reporting directly to our Engineering Director. In this influential role, you will be charged with safeguarding the security and integrity of our systems, applications, and data. You will collaborate closely with cross-functional teams to identify vulnerabilities, formulate and implement security protocols, and provide continuous support to ensure a secure environment. This role offers a unique opportunity to make a lasting impact and help shape the security framework at Momenti.Key Responsibilities:• Design and implement robust security strategies, policies, and procedures to protect Momenti's technological assets.• Conduct ongoing security evaluations, vulnerability assessments, and risk analyses to uncover and mitigate potential security threats.• Work alongside software engineers and other team members to establish secure coding standards and practices to ensure secure software development.• Actively monitor and respond to security incidents, investigating and resolving breaches, intrusions, and unauthorized access attempts.• Keep abreast of the latest developments in security technologies, trends, and best practices, and provide actionable recommendations to enhance our security posture.• Conduct training sessions for employees to foster a culture of security awareness and best practices within the organization.

Company Overview:At Momenti, we are redefining the way video content is experienced. Our innovative Gesture Interactive Video (GIV) technology allows users to interact with videos, creating immersive experiences that transcend traditional media. We aim to foster deeper emotional connections through our dynamic content, breaking the confines of the 4th wall. Join us in transforming the landscape of video content!As a startup, we are dedicated to developing advanced software solutions that facilitate content creation, editing, and playback. Our mission extends to harnessing data analysis techniques to visualize user interactions and enhance the overall quality of media services. Explore our technology at https://momenti.tv.Job Summary:We are seeking a Data Engineer who will play a crucial role in collecting, analyzing, and visualizing user interaction data in real-time. You will help us build an efficient data pipeline, manage data storage solutions, and enhance query performance to derive actionable insights that elevate the user experience with our video content.Key Responsibilities:- Develop and maintain a robust data analysis pipeline.- Implement data pipelines for monitoring key performance indicators.- Utilize Cloud Pub/Sub for real-time data streaming.- Conduct user data analysis to extract valuable business insights.- Perform funnel and heatmap analysis, among other analytical tasks.- Engage in MLOps and the development of machine learning models.Technical Skills Required:- Proficiency in GCP, Cloud Pub/Sub, BigQuery, Cloud SQL (PostgreSQL), Cloud Storage, DBT, Metabase, and Grafana.Qualifications:- Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field.- Proven experience in building and managing data pipelines on cloud platforms.- Proficient in programming languages for automation, such as Python or Go.- Familiarity with data analysis tools and SaaS solutions, such as Amplitude or Mixpanel.Preferred Qualifications:- Experience in data analysis utilizing machine learning techniques.- Background in developing advertising dashboards or back-office systems.- Expertise in ML model serving and MLOps.

Join momenti-inc as an Elixir Engineer and be part of a dynamic team dedicated to creating innovative solutions using cutting-edge technology. In this role, you will work collaboratively with our engineering team to develop scalable applications and contribute to the optimization of our systems.

Join Us at AgentioAt Agentio, we're redefining how marketers engage with creator-led advertising. Our innovative platform simplifies the process of sourcing, pricing, contracting, delivering, and measuring these ads, enabling marketers to operate with the same efficiency as they would on platforms like Meta or Google—transforming what traditionally took months into mere minutes.Our mission is ambitious: to revolutionize an $800 billion digital advertising landscape by empowering creators to capitalize on their influence. This shift promises better results for marketers and ensures that creators are compensated fairly for their contributions. Major corporations, such as Unilever, are already reallocating significant portions of their advertising budgets towards this trend, validating our approach. With Agentio, brands like Uber, DoorDash, and Bombas can execute creator campaigns with the precision and accountability they require.Having successfully raised $56 million with a valuation of $340 million, including a recent Series B round led by Forerunner, Agentio is backed by notable investors including Benchmark, Craft, and AlleyCorp. We are proud to be recognized by Forbes as one of the Next Billion Dollar Startups in 2025. Our platform is already making waves among leading marketers and creators, and we’re just getting started!Data: The Core of Our InnovationOur platform seamlessly allocates budgets to the most suitable creators at optimal prices, complete with clear attribution. We gather rich first-party signals from creative briefs, audience insights, content performance, and outcomes, facilitating robust links to conversions. By training LLM-driven ranking and pricing models, we elevate every aspect of campaign management—from discovery and acceptance likelihood to pacing and scale. Every new campaign enhances our data pool, creating a self-reinforcing learning loop that improves matching, forecasting, and measurement efficiency with each iteration.We’re on the lookout for passionate data professionals to join our expanding team. Whether your strength lies in behavior analysis, outcome modeling, experimental design, or the development of advanced data and machine learning tools, your contributions will have an immediate and significant impact—shaping product direction, refining measurement techniques, and delivering the infrastructure that powers our platform.

Join our innovative team at Rain as a Data Scientist, where you'll leverage data to unlock insights and drive decision-making. Your expertise will play a critical role in developing predictive models and analyzing large datasets to enhance our products and services.

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.

About ClayAt Clay, our mission is to empower organizations to transform their growth ideas into reality.We approach growth as a creative endeavor rather than a mere formula. Identifying and engaging with your ideal customers requires innovative thinking and ongoing experimentation. In a world where AI accelerates execution and strategies are easily replicated, creativity remains the only sustainable competitive edge. We proudly support thousands of customers, including renowned names like Anthropic, Notion, Google, and Ramp, as they navigate the market with unique data insights, signals, and AI-driven research.In 2025, we celebrated surpassing $100M in revenue and successfully completed a $100M Series C funding round at a $5B valuation, supported by prestigious investors such as Sequoia, CapitalG, and First Round. We also initiated our second employee tender offer and launched a community equity round for our customers, agency partners, and club members.Here are some key highlights about Clay:Our community boasts over 11,000 customers, 150+ integration partners, 125+ agencies, 50+ Clay clubs, and 30,000 members on Slack.We foster a unique culture that extends beyond work, with team members who are DJs, activists, writers, clowns, marathon runners, skydivers, and even psychedelic therapists.Employees have the opportunity to work with world-class coaches specializing in creativity and management at no cost.Our guiding principles—such as negative maintenance and non-attached action—direct our efforts. Discover more about them here.Explore our story in the New York Times.

About Graphite Graphite builds tools for modern software engineering teams, helping them move faster and deliver strong products. The platform focuses on code review solutions designed for agile teams, making it easier for engineers to create and review smaller pull requests, avoid roadblocks, and ship code quickly. Individual users can start using Graphite without requiring their teammates to change tools. The system synchronizes code changes and reviews smoothly. The team draws inspiration from internal tools like Phabricator (Facebook) and Critique (Google), aiming to support engineers who prefer developing, validating, and deploying incremental changes. The mission centers on empowering engineering teams to accomplish more with better workflows. Team and Culture Graphite values collaboration and believes that great software comes from strong teamwork. The company culture puts people first, applies scientific principles and craftsmanship, and encourages disciplined ambition. Early team members receive meaningful ownership, both through equity and responsibility. Outside of work, the team enjoys making espresso, producing music, and practicing yoga. Role Overview: Data Scientist (New York) Graphite is growing quickly and is hiring a Data Scientist to help shape product strategy and support company growth. This role is based in New York. What You Will Do Analyze a large dataset (10TB) to answer key data questions Design, develop, and implement data models, algorithms, and tools for analysis and visualization Build and maintain a scalable data pipeline that aggregates, processes, and stores data from multiple sources, ensuring accuracy, reliability, and availability (current stack: DBT, Segment, Redshift) Work closely with software engineers, other data scientists, and product managers to support data-driven decisions across the company Conduct exploratory data analysis and statistical modeling to uncover trends and insights

Role overview TripleLift seeks a Data Scientist based in New York to strengthen its advertising technology products. The position centers on analyzing large datasets, developing predictive models, and producing insights that inform product improvements. What you will do Examine complex data to spot trends and uncover opportunities Create and improve predictive models that guide product and business choices Present actionable insights to teams to support technology enhancements Partner with colleagues from different departments to ensure data efforts align with business priorities Collaboration and impact This Data Scientist role is part of TripleLift’s data team. Regular collaboration with cross-functional groups keeps data strategy connected to company goals. Creative problem-solving and a genuine interest in data contribute to shaping the future of TripleLift’s advertising technology.

Be a Part of the Future of Finance.At Robinhood, our mission is to make financial services accessible to everyone. With an astonishing $124 trillion in wealth expected to transfer to younger generations within the next two decades, we invite you to be part of this monumental shift in finance and culture. If you're ready to make a difference, we want to hear from you.About the Role and TeamJoin our elite Data Science team as we tackle some of the most significant financial challenges through innovative technology. We are seeking creative thinkers and skilled problem-solvers who are passionate about making a meaningful impact. At Robinhood, we thrive in a fast-paced environment where high expectations are met with high rewards. Our Brokerage team is dynamic, collaborative, and dedicated to driving innovation across our suite of products.As a Senior Data Scientist, you will collaborate with cross-functional partners in product, engineering, user research, design, marketing, finance, and operations. Your expertise will help us leverage data to enhance our brokerage services and deliver exceptional value to our customers. We are looking for a results-driven leader to propel product growth through rigorous experimentation and strategic data analysis, influencing our roadmap and enhancing the trading experience for millions.This position is based in our New York office, with in-person attendance required at least three days a week.We believe that in-person collaboration accelerates progress, promotes innovation, and builds a strong community. Our office environment is designed to inspire and support high-performing teams.ResponsibilitiesConduct in-depth analyses to pinpoint product growth opportunities and enhance key business metrics.Design, execute, and assess A/B tests, including causal inference analyses to gauge the impact of product modifications.Establish and track essential product performance metrics; create scalable dashboards for monitoring and decision-making support.Collaborate with stakeholders to translate data insights into actionable strategies for product improvement.

Our MissionAt Zocdoc, we believe that healthcare should prioritize patients. Unfortunately, many face outdated insurance directories, long wait times, and unexpected bills. Our mission is to empower patients by revolutionizing the healthcare experience. We have built a leading healthcare marketplace that simplifies finding and booking care across all 50 states, covering over 200 specialties and more than 12,000 insurance plans. By enabling patients to choose their providers, we aim to transform healthcare into a competitive market that benefits consumers. As we continue to grow, we’re looking for passionate individuals who thrive on solving complex problems in a collaborative environment. If you’re driven and enjoy working with thoughtful teammates, we want to hear from you. Your Impact on Our Mission:Join our Marketplace Data Science team as a Data Scientist embedded within the Acquisition Marketing team. You will play a pivotal role in enhancing our marketing strategies, optimizing campaign performance, and ensuring efficient marketing spend. By collaborating with Marketing, Product, and Engineering teams, you will provide actionable insights that shape our patient marketing efforts and drive growth.

Join Highbeam, where we are revolutionizing the landscape of business banking and cash management.Our innovative platform integrates AI-driven agents, automated financial workflows, and comprehensive financial products that empower brands to optimize their time and resources.We are proud to have supported customers in generating billions in sales, collaborating with renowned brands such as Cuts, Tushy, NYON, Sabah, Still Here, Alice Mushrooms, Original Grain, birddogs, and many more.Our talented team comprises alumni from prestigious companies like Shopify, Square, Toast, Rippling, and McKinsey.We have successfully raised $42 million in equity funding from esteemed investors including Acrew, FirstMark, Mayfield, and Two Sigma Ventures.

Join our dynamic team at mergeapiintegrationsandbox as a Data Scientist. In this role, you will leverage your analytical skills to dissect complex datasets, develop predictive models, and provide actionable insights that drive business success. We are looking for a candidate who possesses a robust statistical background, practical machine learning experience, and a keen interest in resolving tangible business challenges through data.

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.

Join our innovative team at Applied Physics as a Data Scientist, where you will work with an eclectic mix of data types. You will collaborate closely with a dynamic group of computer scientists and engineers, driving advancements in data analysis, machine learning, and information visualization.Key Responsibilities:Partner with scientists and researchers to craft cutting-edge algorithms and software solutions addressing complex challenges.Evaluate data science research needs for Applied Physics and the Advanced Propulsion Laboratory.Regularly collaborate with fellow developers to exchange knowledge and recommendations, ensuring team deliverables are met.Independently design technical solutions while contributing as part of a multidisciplinary team to analyze and implement software based on client needs.Create and integrate components for an operational information and knowledge discovery system.

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.

Join Spotify’s dynamic team as a Data Scientist specializing in Subscriptions. In this role, you will leverage data analytics and machine learning techniques to enhance user experience and drive growth in our subscription services. Collaborate with cross-functional teams to derive insights that shape product strategy and optimize our offerings.

Join us at Oscar as a Data Scientist II in our dynamic Data team, where your expertise will help shape the future of health insurance.Founded in 2012, Oscar is pioneering a new era in health insurance, built on a cutting-edge technology platform and an unwavering commitment to our members’ needs. We aim to create a health insurance experience that is as reassuring and dependable as a family doctor.About the Role:As part of Oscar's data team, you will delve into the intricate world of healthcare and insurance analytics. Our organization possesses a wealth of data, encompassing financial claims, clinical medical records, and member interaction insights. By effectively integrating and analyzing these datasets, we gain profound insights that enhance care coordination, optimize risk management, and elevate the consumer experience.In your role as Data Scientist II, you will spearhead data science initiatives across various teams and domains. You will be responsible for managing analytical projects, providing technical guidance, and collaborating closely with stakeholders in business, engineering, product, and data to deliver meaningful solutions.This is a mid-level position ideal for data scientists who are adept at working autonomously, thriving in ambiguity, and applying advanced analytical techniques with minimal supervision.You will report to a leader on the Data team (Senior Data Scientist or above). This job posting may represent several openings, and the final placement will be determined during the interview process.Work Location: This is a hybrid role based in our New York City office, Los Angeles office, or Tempe office, requiring a schedule of 3 days in the office each week. Thursdays are mandatory in-office days for team meetings and events, while the remaining two office days can be flexible to accommodate your schedule. #LI-HybridPay Transparency: The base salary for this position ranges from $131,200 to $172,200 annually. Additionally, you will have access to employee benefits, participation in Oscar's unlimited vacation program, equity grants, and annual performance bonuses.

Role overview flex seeks a Senior Data Scientist & Analytics specialist to support its Product team in New York. The main focus is on applying data analysis and statistical models to guide decisions and strengthen product results. Key responsibilities Collaborate with colleagues from multiple disciplines to examine complex datasets Identify and communicate insights that inform product strategy and development Use statistical modeling to assess and improve product performance Location This role is based in New York, New York, United States.