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Experience Level
Entry Level
Qualifications
• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.• Proficiency in programming languages such as Python or R.• Experience with data visualization tools (e.g., Tableau, Power BI).• Strong understanding of machine learning algorithms and statistical analysis.• Excellent communication skills for presenting data insights to non-technical stakeholders.
About the job
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
About suno
suno is an innovative company at the forefront of the digital landscape, dedicated to creating engaging content and fostering meaningful connections on social media. Our team is passionate about using data to drive strategy and enhance user experiences.
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 an…
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
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.
Full-time|$202K/yr - $282K/yr|Hybrid|New York City
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.
Full-time|On-site|CA - San Francisco; NY - New York City
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.
We are seeking a Forward-Deployed Data Scientist II to join our innovative team at Braze. In this role, you will leverage your expertise in data science to drive impactful decisions and strategies for our clients. You will be responsible for analyzing complex datasets, developing predictive models, and translating data insights into actionable recommendations.Your work will directly contribute to enhancing the customer experience across multiple platforms, utilizing advanced analytics techniques and tools. You will collaborate with cross-functional teams to deliver solutions that meet the unique needs of our clients, ensuring that our data-driven approach leads to measurable outcomes.
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.
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.
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...
**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.
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.
Full-time|$212K/yr - $251K/yr|Hybrid|New York City
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.
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
About PicklePickle is an innovative peer-to-peer rental marketplace that transforms the untapped potential of countless underutilized items in consumer closets into a thriving rental ecosystem. We simplify the process of renting high-quality products precisely when our customers need them, offering fast, convenient fulfillment that rivals traditional shopping experiences.Our vision is to create a unique commerce layer driven by dynamic local supply, making access more convenient for everyone. Pickle is rapidly expanding across the nation, with a significant presence in key local markets such as New York City, Los Angeles, and Miami. Our extensive marketplace boasts over 300,000 items available for rent, and we are just getting started.What sets Pickle apart is our remarkable peer-to-peer inventory, unparalleled convenience (with delivery times of under 2 days nationwide and under 2 hours locally), and a flexible, subscription-free model that allows users to rent exactly what they want, when they want it. Supported by our Series A funding secured in early 2025 from prominent investors like FirstMark and Craft, we are on a path to redefine access-driven shopping.About The RoleAs a Data Scientist at Pickle, you will serve as a strategic partner to our Founders, tackling the critical question: How do we scale efficiently?In this role, you will analyze the intricate dynamics of our two-sided marketplace. One moment, you may find yourself modeling price elasticity to understand how a 5% discount impacts our contribution margins. The next, you might delve into referral data to craft a viral loop that can halve our customer acquisition cost. Your mission is to uncover the underlying reasons behind every data trend, identifying friction points that hinder progress and behaviors that can catalyze substantial growth.If you are a driven individual who thrives on solving challenging problems and is relentless in your pursuit of solutions, this role is your ideal playground.ResponsibilitiesGrowth Strategy & AcquisitionPricing & Incentive Strategy: Develop and test dynamic pricing models and incentive schemes (e.g., first-order discounts, owner bonuses). Your analysis will help us stimulate demand and enhance conversion rates while protecting our contribution margins, ensuring each discount drives long-term ROI.The Growth Equation: Analyze our acquisition channels (Organic, Paid, Referral, Ambassadors) to identify which have the highest lifetime value to customer acquisition cost (LTV/CAC) ratios, guiding our investment strategies.
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.
Full-time|$158K/yr - $175K/yr|On-site|New York City, New York
At Garner Health, we are on a mission to revolutionize the healthcare economy by delivering high-quality and affordable care for everyone.We are fundamentally reshaping the way healthcare operates in the U.S. by collaborating with employers to redesign healthcare benefits through transparent incentives and robust, data-driven insights. Our innovative approach empowers employees to access higher-quality, lower-cost care, creating a system that benefits all stakeholders. Patients experience improved health outcomes, employers utilize healthcare funds more effectively, and physicians are acknowledged for providing outstanding care instead of merely increasing the number of procedures performed.Garner is among the fastest-growing healthcare technology companies in the nation. Our products are trusted by the most discerning employers and providers in the industry, and we are assembling a team of talented, mission-driven professionals who are eager to create a significant impact on healthcare at scale.About the Role:We are in search of an exceptional Data Scientist II to join our Central Data team. Reporting to the Director of Data Science & Analytics, this pivotal role is crucial in shaping Garner’s Product & Growth strategy—from assessing product impact to developing models that drive user engagement. You will work in tandem with data, product, and engineering teams to enhance the effectiveness of Garner’s member-facing product by addressing questions such as, “Which features drive user engagement?”, “What is the optimal time and channel for member outreach?”, and “What data concepts must we expand to better understand what motivates members to engage with Garner?” Your contributions will have a direct influence on our member-facing products and guide strategic product decisions.Where You Will Work:This position is based in our New York City office, with a requirement to work on-site three days a week (Tuesday, Wednesday, and Thursday).Your Responsibilities:Identify and evaluate product success through goal setting, A/B testing, forecasting, and monitoring key product metrics to discern trends.Oversee projects from inception to completion, including problem definition, implementation, validation, and iteration.Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions, including AI and machine learning models.Collaborate cross-functionally with data scientists, product leaders, engineering, and operations teams to define metrics and success criteria.
Join Arlo Technologies, a leader in innovative security solutions, as a Data Scientist. In this role, you will analyze complex datasets to drive insights and enhance our product offerings. You will collaborate with cross-functional teams to develop predictive models and algorithms that optimize our services, ensuring a seamless experience for our users.Your analytical skills will contribute to shaping the future of smart security, providing you with the opportunity to make a significant impact in a rapidly growing field.
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.
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.
