Senior Data Scientist at tiger-analytics | Remote

Tiger Analytics is seeking a Senior Data Scientist with a focus on Agentic AI. This remote position is based in New York, New York. Role overview This role centers on applying advanced analytical methods to complex datasets. The Senior Data Scientist will use machine learning, statistical modeling, and data visualization to help clients make informed business decisions. What you will do Analyze large and varied datasets to uncover actionable insights Apply machine learning and statistical modeling techniques Develop data visualizations that clarify findings for clients Support clients in using AI to improve their business operations Requirements Expertise in machine learning, statistical modeling, and data visualization Experience working with complex datasets Background in Agentic AI is essential

Role Overview Analytic Partners is hiring a Senior Data Scientist in New York, NY. This position focuses on applying advanced analytical methods to support data-driven decisions across the organization. The Senior Data Scientist works closely with colleagues from various teams to create solutions that strengthen our analytics and contribute to meaningful business outcomes.

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

Tiger Analytics is on the lookout for a skilled Senior ERP Consultant specializing in Workday Financials to join our dynamic and rapidly expanding advanced analytics consulting firm. As a trusted analytics partner to numerous Fortune 500 companies, we empower them to extract significant business value from their data. Our leadership in the analytics space has been acknowledged by leading market research firms, including Forrester and Gartner. We aim to attract exceptional talent as we strive to develop the premier global analytics consulting team.In this role, you will leverage your extensive expertise in Workday Financial modules, specifically the Account Center. The successful candidate will be instrumental in designing, constructing, and validating accounting configurations, workflows, integrations, and reporting within the Workday platform.Key ResponsibilitiesLead the implementation of Workday Financials, overseeing planning, design, configuration, testing, and deployment while ensuring alignment with business goals.Serve as the primary functional and technical advisor, adeptly translating intricate financial requirements into scalable Workday solutions.Manage the delivery of functional workstreams, ensuring that projects adhere to scope, quality standards, and timelines.Provide guidance on best practices for Workday modules, including General Ledger, Accounts Payable/Receivable, Procurement, and Financial Reporting.Troubleshoot system issues, conduct root-cause analysis, and implement effective solutions.Create detailed documentation, including process flows, test scripts, and configuration guides.

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.

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...

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

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.

As a Senior Data Scientist at VideoAmp, you will play a pivotal role in driving data-driven decisions and strategies that impact our business outcomes. You will leverage your expertise in statistical analysis, machine learning, and data visualization to develop innovative solutions that optimize our products and services. Collaborate closely with cross-functional teams to understand business needs and translate them into analytical frameworks, ensuring the highest quality of data insights.

Tiger Analytics is a rapidly expanding advanced analytics consulting firm known for its innovative solutions. Our expert consultants possess extensive knowledge in Data Science, Machine Learning, and Artificial Intelligence. We proudly serve as a trusted analytics partner for numerous Fortune 100 companies, helping them unlock significant business value from their data. Our leadership and success have garnered recognition from esteemed market research firms such as Forrester and Gartner. We are on the lookout for exceptional talent to continue building the world's leading analytics consulting team.Key Responsibilities:Lead the architecture of solutions in Product Lifecycle Management (PLM) systems focused on regulatory compliance, safety needs, and supply chain quality.Bring 8 to 12 years of solution architecture experience with hands-on expertise in PLM.Analyze, understand, and identify new opportunities to enhance the application landscape.Propose improvements to business processes through innovative technical solutions that enhance user experience.Facilitate the integration of processes, technologies, and people to achieve comprehensive efficiency.Conduct business and system analysis, demonstrating a solid grasp of industry best practices and staying updated on regulatory compliance and quality trends. Capture business requirements effectively and communicate options clearly.Manage the integration of system solutions, ensuring production releases meet business expectations while adhering to technical standards. Provide clear project status updates to management.Support projects throughout their lifecycle.

At Headway, we are on a transformative journey to revolutionize mental health care accessibility. Our innovative technology connects individuals with exceptional therapists through the first software-enabled national network that accepts insurance.With 1 in 4 Americans facing treatable mental health conditions, our mission is to dismantle barriers to therapy by facilitating therapists in accepting insurance and expanding their practices.Founded in 2019, Headway has grown into a vibrant network of over 60,000 mental health providers across all 50 states, serving more than 1 million patients. Backed by prestigious investors including a16z (Andreessen Horowitz), Accel, GV (formerly Google Ventures), Spark Capital, Thrive Capital, Forerunner Ventures, and Health Care Service Corporation, we are a Series D company with over $325 million in funding.We believe your time with us will be the most fulfilling of your career. Join us in making a meaningful impact on the future of mental health care.About the RoleJoin us in shaping the metrics and decision-making processes that drive patient growth.As a Senior Data Scientist in Marketing Analytics, you will take on a pivotal role as the senior analytical and strategic leader, making marketing performance clear, credible, and actionable. Collaborating closely with Growth Marketing leaders and channel managers across paid, lifecycle, and organic marketing, as well as Finance, Product, and Engineering, your mission will be to help Headway tackle critical questions:What is genuinely incremental?Where should we allocate our resources next?What factors are influencing performance changes?How can we successfully scale effective strategies without misconceptions?You will develop the frameworks, analyses, and modeling techniques that empower the marketing team to accelerate their efforts confidently. This role goes beyond mere dashboard monitoring or basic attribution; it provides high-stakes decision support for our growth engine.What You Will DoLead incrementality measurement across various channels. Design and analyze geo tests, holdouts, lift tests, and quasi-experimental approaches when randomized testing isn't viable. Establish clear parameters, decision rules, and benchmarks for success.Create a trustworthy marketing measurement system. Define authoritative metrics such as CAC, LTV, payback periods, conversion rates, and retention.

Plaid is looking for a Senior Data Scientist with a focus on Credit to help shape the future of financial products. This position is based in New York and centers on applying advanced analytics to guide key decisions and improve credit offerings. Role overview This role involves close collaboration with teams across the company. The Senior Data Scientist will work to refine data models, support new and existing credit products, and contribute to projects that influence Plaid’s approach to credit in the financial sector. What you will do Analyze complex datasets to uncover insights that inform credit strategies Work with product, engineering, and business teams to enhance credit products Optimize and maintain data models that support credit decisioning Contribute to strategic initiatives that impact Plaid’s credit offerings Requirements Advanced skills in analytics and data science Experience working on credit-related products or models Ability to collaborate across multiple teams

Fortell develops AI-powered hearing aids built on custom silicon. The company began in a New York audiology clinic and launched its first product four months ago. Now, Fortell is preparing to enter new markets and expand its distribution network. Role overview The Data Scientist - Analytics Engineer leads analytics and data infrastructure for Fortell. This role shapes decision-making across product development, clinical care, marketing, and business operations as the company grows nationally. What you will do Work independently to clarify complex problems and translate data into actionable insights that improve efficiency Build and manage analytics systems, data models, and data platforms Report directly to the co-founder and COO, who brings experience as a former VP of Data Help establish a data-driven culture from the ground up Location This position is based in New York.

About the Role Peloton is embarking on a pivotal transformation. We are transitioning from a leader in connected fitness to an all-encompassing wellness ecosystem driven by innovation and data. Our unwavering mission is to empower our global community to lead healthier, happier, and fitter lives. As we redefine the future of health, we seek visionary leaders who are enthusiastic about creating the frameworks that will enhance our world-class member experiences. As a user-centered, outcomes-driven Product organization, Peloton's Product Analytics team plays a crucial role in delivering strategic insights, robust reporting capabilities, and A/B testing to guide our direction and product roadmap. The analyst will be instrumental in championing diverse monetization and product analytics initiatives, aimed at profitably increasing Peloton's member engagement while optimizing our product strategy. We are on the lookout for a Product Analyst to join our Product Analytics team, focusing on fostering member engagement through habit formation. At Peloton, our ambition is to cultivate Members for Life—establishing enduring fitness routines that seamlessly integrate into our members’ daily lives. This role is pivotal in evaluating the effectiveness of our product experiences designed to help members develop and maintain consistent fitness habits. The Product Analyst will collaborate closely with cross-functional product teams to assess impact, derive insights, and shape product strategy—ensuring our efforts lead to sustainable habit formation and enhanced member retention. Your Responsibilities: Oversee analytics for habit formation engagement features—from defining success metrics to providing insights that inform product decisions. Collaborate with Product Managers and Designers to construct, launch, and evaluate A/B tests that influence the product roadmap. Craft compelling narratives with data: develop clear stories that resonate with senior stakeholders and steer strategic direction. Transform member behavior data into actionable insights that enhance retention and long-term engagement. Promote clean, consistent data instrumentation and support best practices in experimentation. Your Qualifications: 3-5 years of experience in analytics, with a focus on product or UX analytics (experience in fitness or consumer technology is advantageous). Proficiency in SQL and familiarity with Python (e.g., pandas) is required.

Join Lyft as a Senior Data Scientist in our Decisions team, focusing on Risk analytics. In this pivotal role, you will leverage data-driven insights to enhance decision-making processes and mitigate risks. You will collaborate with cross-functional teams to develop innovative solutions that drive business objectives.

About Us At Propel, we are dedicated to developing innovative technology that enhances the social safety net. Our enthusiastic team of around 100 Propellers strives for a future where every American is equipped with the necessary tools and resources to thrive. The Role We are seeking a Senior Product Data Scientist to influence key decisions regarding our core product, including our marketplace, aimed at creating significant business impact and improving the lives of our users. This role will involve conducting A/B testing, personalizing user experiences, performing business analytics, and conducting in-depth research to guide critical company decisions. The ideal candidate will possess strong data intuition, exceptional communication skills, and proficiency in both SQL and Python. Your Impact: Contribute to systems utilized by millions of low-income Americans. Drive transformation through impactful data analysis and investigations. Ensure reliable data pipelines to maintain data integrity. Collaborate with product teams, beginning with the marketplace team, and potentially working with teams focused on government benefits, marketing, and growth. Communicate effectively with team members throughout projects, including during code reviews and discussions.

Our MissionAt Zocdoc, we believe healthcare should actively serve patients, not hinder them. Unfortunately, the current system relies on outdated insurance directories, long waits on hold, and unexpected bills. In any other sector, such a subpar experience would be unacceptable, yet in healthcare, patients often feel powerless. Our goal is to empower patients, making healthcare efficient and accessible. Zocdoc is dedicated to transforming the patient experience by providing an innovative healthcare marketplace. We facilitate easy access to both in-person and virtual care across all 50 states, covering over 200 specialties and more than 12,000 insurance plans. By putting the power back into patients' hands, we create a competitive environment that improves quality and reduces costs. With 18 years of leadership in the healthcare space, we are just beginning our journey. If you are passionate about solving complex challenges alongside a team of thoughtful and driven individuals, we would love to hear from you. Your Impact on our MissionAs a key player in our Marketplace Analytics team, your contributions as a Staff Data Scientist will be instrumental in reshaping healthcare for millions of patients. You will drive initiatives that enhance patient demand, refine our search and booking processes, and maintain a thriving marketplace.Your strategic leadership will involve designing and scaling analytical frameworks that inform product development and growth strategies. You will guide experimentation and optimize performance throughout the patient journey, from acquisition to booking and retention, thereby enhancing marketplace efficiency and value.

Role overview Peloton Interactive, Inc. seeks an E-commerce Data Scientist specializing in Product Analytics for its New York, New York office. This role uses data-driven methods to enhance Peloton’s digital marketplace, aiming to refine product offerings and create a stronger user experience. What you will do Collaborate with teams throughout the company to define and monitor important product metrics Study consumer behavior and purchasing trends within the e-commerce platform Deliver insights that guide product strategy and decision-making Assist in optimizing profitability while ensuring customer needs are met Impact The work in this position directly influences the direction of Peloton’s e-commerce products. Insights and recommendations will help shape future offerings and contribute to key business results.

Figma’s Core Data team is hiring a research-focused Data Scientist to help shape the frameworks and tools that power data science across the company. This group supports experimentation, analytics, and AI systems, partnering with Data Infrastructure, Machine Learning, and Applied Science teams. Their work strengthens Figma’s platforms and integrates AI into the daily workflows of data scientists. Key responsibilities Improve Figma’s experimentation platform and analytics tools Build machine learning-based systems for product analytics Define and refine metrics for AI-powered features using causal inference and statistical modeling Work closely with engineers, analytics specialists, and other teams to support data-driven decisions Requirements PhD-level expertise in a relevant field Strong research background with experience applying findings to real products Experience with experimentation platforms, statistical modeling, or machine learning Interest in developing tools for data scientists and product teams Location and work arrangement This full-time role is open to candidates based in any Figma U.S. hub (New York, NY or San Francisco, CA), or working remotely within the United States.