Data Scientist - Feature Engineering

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.

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.

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.

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 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 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.

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.

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.

At PermitFlow, we are transforming the construction landscape across America. As a pioneering applied AI firm, we address one of the most significant information challenges facing the industry: understanding what can be built, where, and how. Our innovative AI-driven solutions empower the nation's builders, enabling them to navigate complex processes from permitting to inspections, thereby accelerating housing, clean energy, and infrastructure projects nationwide.The construction sector, valued at $1.6 trillion, is plagued by inefficiencies, such as significant delays and squandered resources. PermitFlow has already enhanced the speed, accuracy, and transparency of over $20 billion in developments, allowing contractors to minimize compliance time, mitigate risks, and confidently scale their operations.As the U.S. embarks on a new capital expenditure supercycle encompassing data centers, factories, housing, and renewable energy projects, joining PermitFlow means being at the forefront of building the AI infrastructure essential for every construction endeavor, propelling the next wave of reindustrialization.With over $90 million raised, including our recent Series B funding from distinguished investors such as Accel, Kleiner Perkins, Initialized, Y Combinator, Felicis, and Altos Ventures, we are backed by leaders from OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber.Our headquarters are located in New York City, and we operate under a hybrid work model (3 days in-office per week). We welcome candidates based in NYC or those willing to relocate.

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

Jaan Health is hiring a Lead Data Scientist with a focus on causal inference and clinical outcomes. This position supports a clinical outcomes study for Silver Cross Medical Group (SCMG), evaluating the effects of Advanced Primary Care Management (APCM) and Chronic Care Management (CCM) programs. The main goal: determine whether these programs reduce hospital readmissions and improve follow-up rates after discharge. What you will do Design and implement longitudinal studies to measure clinical outcomes and program effectiveness. Work with complex healthcare claims and EHR data to build an actuarial-grade causal inference framework. Audit and interpret work from a previous analytics vendor to help close out their engagement. Communicate complex statistical findings to both technical and non-technical stakeholders. Key requirements Expertise in causal inference and clinical outcomes research. Experience handling healthcare claims and EHR data. Background in health technology. Strong communication skills for explaining statistical results to stakeholders. Position details Location: Remote (Jaan Health is based in New York City) Job type: Contract or full-time (flexible) Duration: 16 weeks, from May 7, 2026 through August 27, 2026 Reports to: Director of Business Intelligence Compensation: $100 – $155 per hour Jaan Health develops AI-powered care management tools that help clinicians deliver personalized care for chronic conditions. Their proprietary platform, Phamily, supports proactive care and fair provider compensation. Learn more at phamily.com.

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.

Legora seeks a Director of Data Analytics and Business Systems to lead its analytics team in New York City. This position plays a central role in shaping analytics strategies that advance company objectives. The Director will use advanced analytical techniques to improve operations and streamline business processes. Role overview This leader will set the direction for the analytics team, guiding priorities and mentoring team members. The role involves developing and executing analytics strategies that align with Legora’s business goals. Close collaboration with teams across the organization is essential to deliver insights that inform strategic decisions. Oversight of business systems management ensures effective data flow and accurate reporting. Promoting a data-driven culture is a key focus. Key responsibilities Lead and mentor the analytics team, setting direction and priorities Develop and implement analytics strategies in line with business objectives Collaborate with teams across Legora to deliver actionable insights Oversee business systems management for effective data flow and reporting Encourage data-driven decision-making throughout the company Requirements Experience in data analytics, business intelligence, and systems management Strong leadership and team management skills Ability to work with multiple departments and communicate complex findings clearly

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.

Anthuria creates AI tools for skilled nursing facilities, turning detailed clinical notes into usable insights that support patient care, reimbursement, and compliance. The team includes healthcare industry veterans who understand the real-world challenges of clinical operations. With support from a healthcare-focused family office, Anthuria already works with 180 facilities across more than 10 states. Collaboration, curiosity, and technical excellence shape Anthuria’s culture. Team members have a direct influence on technical direction, company practices, and the products themselves. The company values open communication and aims to deliver practical value to clients. Role overview The Senior AI Applied Scientist role is based in New York City. This position is part of Anthuria’s early-stage technical team, offering the chance to influence both product and culture. What you will do Develop AI-driven features: Collaborate with cross-functional teams to design and build AI-powered tools that improve post-acute care operations. Write production-grade Python code and combine software engineering with machine learning to deliver reliable solutions. Manage evaluation frameworks: Define evaluation methods and metrics for AI systems. Test, monitor, and assess model performance to support rapid iteration and high-quality product delivery. Analyze requirements and user behavior to align with strategic goals. Foster a metrics-driven culture: Build data pipelines, product analytics, and experimentation processes that keep the team focused on measurable results. Communicate technical concepts clearly to stakeholders from various backgrounds. Ensure compliance and data security: Integrate security and HIPAA-grade compliance into every AI system, pipeline, and experiment to protect sensitive patient data as Anthuria grows. Advance AI innovation: Stay active in research, learn from customer workflows, and contribute ideas to improve Anthuria’s AI solutions.

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.

**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.

Role Overview suno is looking for a Data Scientist focused on Content and Social Media to join the team in NYC. This role centers on analyzing data to inform content direction and strengthen the company’s social media impact. What You Will Do Analyze content and social media data to uncover actionable insights Work with teams across the company to develop recommendations based on data findings Help optimize campaigns and measure their effectiveness Support the growth of suno’s content and social media initiatives through data-driven decisions