Senior Data Scientist at tiger-analytics | Remote

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.

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.

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.

At Headway, we are on a profound mission to transform mental health care, making it accessible to everyone. Our innovative technology connects individuals with exceptional therapists through the first software-enabled national network of providers who accept insurance.In the U.S., 1 in 4 individuals faces a treatable mental health condition. Unfortunately, many providers do not accept insurance, rendering therapy unaffordable for a large segment of the population. Headway is pioneering a new mental healthcare system that simplifies the process for therapists to accept insurance and expand their practices.Founded in 2019, Headway has evolved into a diverse, national network comprising over 60,000 mental healthcare providers across all 50 states. Our software has served more than 1 million patients, and we are proud to be a Series D company with over $325 million in funding from esteemed investors including a16z (Andreessen Horowitz), Accel, GV (formerly Google Ventures), Spark Capital, Thrive Capital, Forerunner Ventures, and Health Care Service Corporation.We aspire for your journey with us to be the most fulfilling chapter of your career. Join us and contribute to the positive transformation of mental healthcare.About the RoleBecome a part of our team to create a decision engine that fosters better mental health outcomes.As a Staff Data Scientist specializing in Product Analytics, you will serve as a key technical and strategic leader, guiding how Headway measures, learns from, and enhances its services. You will tackle complex and ambiguous product questions, shape our metrics of success, and influence decisions that span various teams and product dimensions. Your role will encompass not only performing analyses but also impacting our product development, evaluation processes, and scaling successful initiatives.This position is ideal for an individual who can navigate the details of metric definitions while also strategizing measurement approaches for significant product areas, effectively bringing the organization along in the process.What You Will DoIn addition to the responsibilities of a Senior Data Scientist, you will:Own a product measurement strategy. Define key metrics for major product areas, align stakeholders on definitions, and build consensus on what constitutes success.Lead multi-team initiatives. Drive cross-functional projects where the solutions are not immediately clear, ensuring we achieve measurable results.Set the standard for experimentation. Develop frameworks for test design, decision-making guidelines, and interpretations that enhance both speed and rigor across teams.Develop impactful analytics. Innovate methods for deriving insights that inform product development and user engagement.

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.

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.

Why Choose Charlie Health?Across the nation, countless individuals are grappling with mental health challenges, substance use disorders, and eating disorders. Unfortunately, many face significant barriers when seeking help, including limited local options, lengthy wait times, and a lack of personalized treatment. At Charlie Health, we are committed to changing this narrative.Our mission is to connect individuals with essential behavioral health treatment. We provide tailored, virtual care that fosters connections—between clients and clinicians, care teams, family members, and supportive communities. By concentrating on those with complex needs, we are enhancing access to meaningful care and achieving better outcomes from the comfort of home.As a dynamic and expanding organization, we are reaching more communities daily and assembling a team that is reshaping the landscape of behavioral health treatment. If you are passionate about using your expertise to effect lasting change and help individuals access the care they need, we’d love to connect with you.About the RoleIn your capacity as a Staff Data Scientist, you will serve as a key thought leader and technical guide across various teams, including Product, Engineering, Design, Operations, and Clinical. Your expertise will aid the organization in rigorously leveraging data and applying statistical methodologies. You will provide seasoned insights that will refine the team's strategic thinking and inform their roadmaps, ultimately driving impactful outcomes. As a proactive cross-functional collaborator, you will be sought after to tackle challenges and effectively bridge the divide between technical and non-technical stakeholders, elevating the capabilities of those around you.Join our passionate, forward-thinking team as we rise to meet the challenges of the mental health crisis and play a pivotal role in delivering life-saving solutions. If our mission resonates with you and you find motivation in enhancing access to mental healthcare, apply today!

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.

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.

Data ScientistLocation: New YorkOn-site | Full-timeCompensation: CompetitiveJoin a leading technology development firm driving innovation at the forefront of digital asset launchpads. Our client operates with cutting-edge technologies, ensuring ultra-low latency and high throughput in the ever-evolving crypto landscape. This role is pivotal, as every technical deployment directly impacts a vast global audience.We are on the lookout for a skilled and adaptable Data Scientist who thrives in a dynamic and demanding environment. This position offers the freedom to unearth impactful opportunities, create advanced analytical solutions, and quantify their effects on products enjoyed by millions worldwide. Be part of a high-caliber team that champions first-principles thinking, ownership, and independence in a challenging ecosystem.Key ResponsibilitiesExperimentation & Optimization: Create, execute, and assess rigorous A/B tests to enhance user experience and engagement.Proactive Analysis: Uncover hidden issues and growth prospects through thorough data exploration.Insight Visualization: Develop and sustain comprehensive dashboards to monitor essential KPIs and illustrate complex user behaviors.Predictive Modeling: Craft advanced models to analyze user behavior and forecast outcomes in a fast-paced environment.Cross-Functional Collaboration: Collaborate with product and engineering teams to implement data-centric solutions ensuring technical feasibility.Project Ownership: Lead data initiatives from problem identification to solution execution and post-deployment assessment.Technical Communication: Simplify complex statistical insights into clear, actionable narratives for diverse stakeholders.Methodological Standards: Contribute to refining the organization’s data best practices and analytical methodologies.Work Style & EnvironmentIn-Person Collaboration: This role requires presence at our client's office.Intensity: Candidates should be prepared for unconventional hours and a fast-paced atmosphere where expectations are high and outcomes are immediate.

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.

Join the team at The New York Times Company as a Data Engineer focusing on Analytics Data Products. In this pivotal role, you will design and implement data pipelines that drive insights and analytics for our products. Your expertise will contribute to the creation of robust data architectures, ensuring data quality and accessibility for analytics teams.

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.

About UsBaton Corporation is a cutting-edge development firm responsible for the complete technology stack that powers pump.fun, the world's leading memecoin launchpad currently in operation. Our systems are designed for low latency and high throughput, operating under continuous load where precision is crucial.Your RoleWe are looking for a highly skilled and adaptable Data Scientist who excels in a dynamic environment. In this position, you will have the autonomy to discover opportunities, create and apply solutions, and evaluate their effectiveness across our product line. You will work closely with various teams while taking full responsibility for your projects from inception to execution.Design, execute, and analyze A/B tests to enhance our consumer product experience.Identify potential challenges and opportunities through detailed data analysis.Create and maintain dashboards to track essential metrics and present insights visually.Develop predictive models to analyze user behavior and forecast outcomes.Collaborate with product and engineering teams to deliver data-informed solutions.Lead projects independently from identifying problems to implementing solutions.Effectively communicate complex results to both technical and non-technical audiences.Contribute to establishing data best practices and methodologies.Your ProfileA minimum of 3 years of data science experience in a startup, scale-up, or a recognized firm like FAANG.Proficient in Python/R and SQL/BigQuery.Extensive experience in designing, conducting, and interpreting A/B tests on consumer products.Proven ability to manage projects autonomously from the idea stage to implementation.Experience in translating data insights into actionable strategies.Exceptional communication skills, capable of presenting complex findings clearly.Preferred SkillsKnowledge of cryptocurrency and blockchain data.Strong data visualization capabilities, particularly with tools like Omni/Looker.Experience with event tracking data.

Join our dynamic team as an Analytical Scientist at Jobs for Humanity in Hauppauge. In this pivotal role, you will leverage your analytical skills to drive innovative solutions and contribute to our mission of promoting inclusivity and diversity in the workforce. We seek passionate individuals who can transform complex data into actionable insights, enhancing our operational efficiency and effectiveness.

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

About Mammoth BrandsMammoth Brands, previously known as Harry's Inc., is an innovative consumer packaged goods (CPG) company that encompasses popular brands such as Harry’s, Flamingo, Lume, Mando, and Coterie. Our mission is to ‘Create Things People Like More,’ focusing on enhancing product experiences, fostering a positive workplace, and exploring unique ways to contribute to our community. Since our inception in 2013, we have evolved into a robust portfolio of brands, leading the charge in redefining CPG through direct customer relationships and a commitment to better serve our customers and community. To date, we have contributed over $20 million to various nonprofit initiatives. About the TeamThe Centralized Insights & Analytics team at Mammoth Brands collaborates across functions to analyze our performance across retail and digital strategies, marketing investments, and customer service. The team is dedicated to providing impartial reporting and strategic guidance for the Harry’s, Flamingo, Lume, and Mando brands.About the RoleAs the Digital Analytics Manager for Amazon supporting Harry’s and Flamingo, you will be the key analytics partner for our Amazon 1P (Vendor Central) operations. You will be responsible for monitoring performance, identifying key performance drivers, and converting data into actionable insights that address critical questions: what occurred, why, and what steps to take next. Your role will involve leading performance reports, deep-dive analyses, test-and-learn measurements, and planning/forecasting support to identify opportunities and mitigate risks while collaborating closely with cross-functional teams to prioritize insights that drive strategic channel decisions and growth.

Profound creates tools that help companies understand and manage their AI presence. The team focuses on giving marketing professionals clear insight into how brands perform across AI-driven platforms. Role overview The Product Manager, Analytics, leads the entire product lifecycle for analytics solutions at Profound. This position shapes product ideas, drives execution, and delivers features that make a difference for customers. The role has a direct impact on both the analytics product line and the company’s broader direction. What you will do Own analytics products designed for marketing teams to measure brand performance on AI answer engines. Manage core offerings, including Answer Engine Insights (AEI), Agent Analytics (AA), and Prompt Volumes (PV). Define and refine metrics related to brand performance, share of voice, and content health. Work closely with customers to ensure analytics tools provide actionable insight into AI presence. Collaborate with engineering and design teams to deliver features that distinguish Profound as a central resource for brand analytics in the AI space. Location This role is based in New York, New York.

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