Senior Data Scientist I - Rockerbox

Role Overview DoubleVerify is hiring a Senior Data Scientist I for its Rockerbox team at the NYC Global HQ. This role focuses on building models and algorithms to strengthen our products and help clients achieve better results. Work with large datasets and apply statistical methods to uncover insights that shape our data strategy. What You Will Do Analyze and interpret large, complex datasets to inform product development and client solutions. Develop predictive models and algorithms that support digital advertising quality and effectiveness. Collaborate with teams across the company to solve challenging problems and deliver actionable insights. About DoubleVerify DoubleVerify works to ensure digital advertising delivers real value through data integrity and measurement. The Rockerbox team plays a key role in advancing these goals.

Role overview phia seeks a Senior Data Scientist based in New York City. This role centers on applying analytical skills to support business decisions and shape company strategy. The Senior Data Scientist will handle large, complex datasets and use advanced statistical methods along with machine learning models to extract insights and forecast future trends. What you will do Examine diverse datasets to spot patterns and emerging trends Build and improve predictive models using statistical and machine learning approaches Present data-driven findings as clear, practical recommendations for stakeholders Contribute to strategic planning by providing insights grounded in data analysis

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

About HoneHone is a pioneering online medical clinic dedicated to revolutionizing healthcare and promoting longevity. Our mission is to leverage the latest scientific innovations to empower individuals to take charge of their health and realize their full potential. The heart of our success lies in our people, who embody our core values:Champion Patient NeedsExecute RelentlesslyCommunicate ConstructivelyCollaborate GenerouslyTurn Obstacles Into OpportunityGive With GratitudeAs a fully virtual organization from the start, Hone is committed to maintaining a remote-first work culture.Our Ideal CandidateWe seek a mission-driven and enthusiastic multitasker who is passionate about impactful and fulfilling work. Our ideal candidate embraces change and faces challenges with vigor, adopting an “all-in” approach to their responsibilities in our fast-paced, high-growth environment. They excel in both independent and collaborative tasks and lead with transparent communication. They embody humble leadership, driving initiatives forward while remaining dedicated to continuous learning and development. Most importantly, they are committed to being part of a team that advocates for improved longevity and quality of life for all.The RoleWe are searching for a Senior Data Scientist in Healthcare Operations to join our data science team. In this pivotal role, you will report to the Sr. Director of Data, Analytics, and Machine Learning, focusing on the application of data science and AI to enhance clinical outcomes and boost physician productivity across Hone’s virtual care platform.You will collaborate closely with clinical leadership, product, and engineering teams to design, develop, and assess models and AI-driven workflows that facilitate care delivery, minimize operational challenges, and empower clinicians to utilize their skills fully. As a senior individual contributor, you will be responsible for executing and delivering high-impact, well-defined projects. This position is perfect for someone who thrives at the intersection of healthcare, data science, and applied AI, eager to make a tangible impact on patient care.

Join Posh as a Senior Data ScientistAt Posh, we are on a mission to combat the growing loneliness epidemic exacerbated by digital social platforms. We empower individuals to forge real-life communities based on shared interests, creating a vibrant space for genuine connections.Our platform, designed by event organizers frustrated with current social tools, facilitates community building, event management, and monetization. In just five years, we've expanded to over 7 million users and processed more than $300 million in transactions, supported by $70 million in venture funding.Your RoleAs a Senior Data Scientist, you will play a pivotal role in developing our personalization and recommendation systems. You will lead the creation of our core algorithms, define our modeling strategy, and establish data standards organization-wide.Your responsibilities will encompass the full machine learning lifecycle, from identifying new data sources to evaluating model performance, directly influencing product experiences and user engagement.Collaboration is key; you’ll work closely with Product and Engineering teams to establish feature requirements and ensure the accuracy of our datasets. Your expertise will help maintain data integrity and model performance as we scale.This is an on-site position in our vibrant New York City office, located in the heart of SoHo. We believe in building live experiences and cultivating a passionate team environment.

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

At January, we are revolutionizing consumer finance by infusing empathy into our offerings. Our innovative, data-driven solutions enable financial institutions to enhance their collections processes, providing borrowers with clear, compassionate pathways to reclaiming financial stability and control over their lives. We are not merely expanding access to credit; we are restoring dignity and empowering millions to achieve true financial freedom.About the RoleAs the Lead Data Scientist in Product Analytics, you will be pivotal in influencing our product strategy through comprehensive data analysis, visualization, modeling, and experimentation. Collaborating closely with product managers, your insights will directly shape the journey for users striving to overcome debt and regain financial stability.What You’ll Work OnYou will serve as a strategic partner to product managers, empowering them to make informed, data-centric decisions, conduct experiments, and assess the evolution of our critical success metrics. You will develop expertise in our datasets, providing impactful recommendations to enhance our products and processes. Additionally, you will help bolster January’s reputation as a sophisticated, data-focused collection agency, collaborating with the operations team to ensure our client success managers are well-equipped to address inquiries and engage in client conversations seamlessly.What You Bring to the TableA minimum of 2 years of experience utilizing SQL for data analysisProficiency in programming languages such as Python or R for conducting advanced statistical analysesStrong medium to advanced knowledge of statistics related to experimentationAbility to present data compellingly, enabling product and engineering teams to make superior decisionsStrategic thinker, considering the broader impact of your work on January’s overall successSelf-starter; able to independently explore and provide insightful recommendations based on data We are excited to welcome a new team member in our New York office.As a company rooted in New York City, we champion transparent, equitable compensation practices that reflect our commitment to fostering an inclusive environment where every team member can thrive.

About HoneHone is a pioneering online medical clinic dedicated to revolutionizing healthcare and enhancing longevity. We leverage state-of-the-art scientific advancements to empower individuals to take charge of their health and realize their fullest potential. Our team is the core of our mission and plays a critical role in driving our success. We approach every initiative grounded in our brand values:Champion Patient NeedsExecute RelentlesslyCommunicate ConstructivelyCollaborate GenerouslyTurn Obstacles Into OpportunityGive With GratitudeSince our inception, Hone has embraced a fully virtual model and will continue to prioritize remote work.Our Ideal CandidateThe ideal candidate is a mission-driven, dynamic individual who thrives in fulfilling and impactful work. They are adaptive to change and tackle challenges with enthusiasm. With a commitment to excellence, they understand the fast-paced, high-growth nature of our organization and can manage both independent and collaborative tasks effectively. They lead with transparency and humility, driving initiatives forward while remaining open to continuous learning. They are passionate about contributing to a team focused on helping people live longer, healthier lives.The RoleHone is seeking a Senior Data Scientist, Marketing to enhance our expanding data team. Reporting to the Sr. Director of Data, Analytics, and Machine Learning, you will collaborate closely with Marketing, Growth, and Product teams to boost customer acquisition, conversion, and retention through insightful data analysis and modeling.Your primary focus will be on developing and applying statistical models, conducting experiments, and performing analyses that inform marketing strategy, optimize funnel performance, and enhance customer lifetime value. This senior individual contributor role offers significant ownership over execution and delivery, ideal for someone who excels at transforming business inquiries into machine learning solutions while producing high-quality work independently and fostering cross-functional collaboration for measurable outcomes.Primary ResponsibilitiesYour key responsibilities will include (but are not limited to):Collaborate with Marketing teams to analyze and enhance the entire customer funnel, encompassing acquisition, conversion, retention, and churn.Develop and maintain robust statistical models and...

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 our dynamic team at Suno as a Senior Data Scientist specializing in Content and Social Media. We are seeking an innovative professional who is passionate about leveraging data to create impactful strategies that drive engagement and growth across various social platforms. Your expertise will be instrumental in analyzing trends, developing models, and optimizing content strategies to enhance user experience.

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.

Flex is an innovative FinTech company based in New York City, dedicated to revolutionizing the rent payment process. In a world where timely rent payments are often cumbersome and costly, we are on a mission to provide renters with a more flexible and convenient solution. Our platform allows users to manage their rent payments in a way that aligns with their financial needs, making it easier to navigate this significant recurring expense. After building a solid investor foundation and a loyal user community while maintaining a low profile, we are now inviting passionate professionals to join our growing team. Are you ready to make an impact?As a Senior Data Scientist reporting to the Director of Analytics, you will play a pivotal role in driving Flex's strategic direction by leading key analytics initiatives across various departments, including Customer Support, Finance, Marketing, Product, and Strategy. Your expertise will be crucial in unraveling complex data challenges and translating insights into actionable strategies that enhance our business performance. The ideal candidate is deeply inquisitive, maintains high analytical standards, and expertly balances the need for rigor with the urgency of delivering impactful solutions.We are actively expanding our analytics team and are particularly focused on enhancing our Product, Partnerships, and Go-To-Market efforts.

The Data Science team at Asana plays a crucial role in advancing our mission by promoting a data-centric approach to shaping our product and business strategies. As a member of the Marketing Data Science team, you will serve as the leading technical authority, leveraging data and advanced scientific methods to create scalable, cutting-edge solutions that enhance Asana’s marketing impact. You will spearhead the technical roadmap for data science, working closely with marketing leadership and the wider Asana data community to identify innovative opportunities. Your role will involve providing technical guidance and hands-on mentorship, elevating the team’s technical standards and influencing overall business strategy through exemplary modeling and experimental design. This position is based in our New York City office with a hybrid in-office schedule. Standard in-office days are Monday, Tuesday, and Thursday, with the flexibility to work from home on Wednesdays. Depending on your role and team collaboration, working from home on Fridays may also be an option. Further details regarding in-office requirements will be shared during the interview process. Your key contributions will include: Leading the technical execution of the Marketing Data Science roadmap, acting as the Solution Architect for core projects such as Media Mix Modeling (MMM), User Lifetime Value, Causal Inferences, Multi-touch Attribution, and Spend Optimization engines. Serving as the primary technical expert for the Marketing Data Science team, establishing high standards for modeling quality, code integrity, data pipeline architecture, and solution scalability. Collaborating with marketing leadership to explore further integration of data science into Asana's business strategies. Providing hands-on technical mentorship and support to a diverse team of data scientists, assisting them in overcoming complex modeling challenges and establishing robust ML Ops. Creating and standardizing MLOps tools and processes that enable efficient and reliable deployment, monitoring, and maintenance of multiple models in production. Conducting research, prototyping, and advocating for innovative capabilities and advanced models in the marketing data science field, demonstrating their potential advantages and leading their implementation. Assuming a leadership role within the broader Asana Data Community, interacting with Data Engineering and Platform teams to influence the infrastructure necessary to support marketing data products.

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.

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.

At Garner Health, 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 transparent incentives and robust, data-driven insights. Our innovative approach guides employees toward higher-quality, lower-cost care, fostering a system that benefits all stakeholders. Patients attain improved health outcomes, employers make more effective use of healthcare funding, and physicians are rewarded for delivering outstanding care rather than merely increasing procedural volume.Garner is recognized as one of the fastest-growing healthcare technology firms in the nation. Our products are trusted by some of the most sophisticated employers and providers in the industry. We are building a team of talented, mission-driven individuals keen on making a significant impact on healthcare at scale.About the Role:We are looking for an outstanding Senior Data Scientist to contribute to the core systems that drive our product, including but not limited to provider recommendation engines, population health algorithms, A/B testing for engagement and healthcare outcomes, and product analytics. You will play a crucial role in shaping our data usage to guide members toward improved healthcare outcomes, collaborating with Product Managers and Engineers to deliver high-performing systems at scale. Garner’s member app supports users throughout their healthcare journey, ensuring they receive top-quality care while maintaining provider affordability and availability.Work Environment:This position is based in our New York City office, and you will be required to work on-site three days a week: Tuesday, Wednesday, and Thursday.Key Responsibilities:Develop data-driven algorithms that fuel Garner’s recommendation engine.Create systems that proactively identify high-risk members and facilitate timely, tailored care navigation interventions.Own the KPIs and metrics used to evaluate the success of our member activation efforts, engagement strategies, and physician recommendations.Gain a comprehensive understanding of the healthcare economy.

**This position may offer the flexibility of remote work for up to 2 days per week, under the Flexible Work Pilot Program.**The NYC Department of Consumer and Worker Protection (DCWP) stands as the foremost municipal enforcement agency in the United States, dedicated to fostering economic justice. The DCWP utilizes its regulatory power to provide New Yorkers with tangible economic relief and shield them from predatory, misleading, and unfair practices that infringe upon their consumer and worker rights. This includes the implementation of innovative protections, such as the City’s Consumer Protection Law, Protected Time Off Law, Fair Workweek Law, and Delivery Worker Laws. By licensing over 45,000 businesses across more than 45 industries, DCWP promotes fair competition and a level playing field, essential for the responsible small businesses that underpin New York City’s dynamic communities. Furthermore, DCWP offers vital services like free tax preparation and financial counseling, ensuring that New Yorkers can retain more of their earnings and plan effectively for their futures. Committed to making New York City a fairer and more affordable place to call home, DCWP invites you to learn more by visiting their website at nyc.gov/dcwp, subscribing to their newsletter, or following them on platforms like X, Facebook, Instagram, and YouTube.The Office of Labor Policy & Standards (OLPS) is responsible for enforcing the City’s worker protection laws, including the Protected Time Off Law, Fair Workweek scheduling laws for fast food and retail workers, and Delivery Worker Laws that protect independent contractors in the delivery industry. OLPS administers the Freelance Isn’t Free Act (FIFA) program, which aids freelance workers facing wage theft and other violations. We work diligently to secure monetary compensation for affected workers and ensure corporate compliance with the law. More information regarding our office can be found at nyc.gov/workers.OLPS is searching for a Data Scientist to play a pivotal role in enforcing groundbreaking legal protections for workers. The Data Scientist will collaborate closely with the Office’s Investigation and Litigation teams to formulate and execute strategies for discovering, collecting, and analyzing employer data related to compliance with city workplace laws. Responsibilities will include utilizing this data to uncover violations of NYC workplace laws, verifying claims from both employers and workers, calculating employee relief and civil penalties, and guiding investigators in gathering testimonial evidence and other documentation. The Data Scientist will also contribute to the development of systems aimed at automating and standardizing data collection and analysis, playing an essential role in ensuring that working New Yorkers can access their legal protections. Since its inception in 2016, OLPS has garnered a reputation as a leader in leveraging data analytics within its domain, and the successful candidate will be joining a growing and innovative team of data professionals.

About UsPomelo Care is at the forefront of evidence-based healthcare for women and children across the nation. We provide personalized, high-quality clinical interventions from reproductive health and pregnancy to pediatric care and hormonal health management through perimenopause and menopause. Our approach emphasizes long-term preventive care and effective management of medical conditions. With a commitment to 24/7 multispecialty care, we address the medical, behavioral, and social determinants that significantly affect health outcomes for women and children. Partnering with payers, employers, and healthcare providers, we strive to enhance access to quality healthcare throughout the system.Role OverviewYour Mission: To develop innovative, data-centric products that enhance patient engagement and retention, ultimately improving the lives of mothers and their children.We are seeking a seasoned Staff Data Scientist to spearhead the data strategy within our Growth and Patient Experience team. This pivotal role focuses on two key areas: refining our top-of-funnel strategy to drive patient enrollment and advancing the creation of next-generation products that maintain patient engagement throughout their healthcare journey. Key responsibilities include:Developing expertise in patient behaviors, engagement patterns, and retention factors, while taking ownership of the team’s data science roadmap and influencing Pomelo's patient experience strategy.Collaborating intensively with the Marketing team to craft and optimize a multi-channel enrollment strategy, including building attribution models, analyzing funnel conversion rates, and determining the most effective resource allocation for patient enrollment.Defining and iterating on essential business health metrics, such as enrollment and retention rates, and presenting insights to Pomelo’s leadership team.Conducting exploratory analyses to inform the development of features aimed at enhancing enrollment and engagement, such as categorizing conversation topics and segmenting patient journeys.Establishing robust data pipelines and analytics infrastructures to integrate external, marketing, and product usage data, creating a cohesive view of the patient journey.Leading the team’s A/B testing strategy across marketing and product initiatives to accurately measure impact.Working closely with Product, Clinical, and Engineering teams to translate patient insights into actionable improvements and new feature developments.

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.