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

We are seeking a highly skilled Data Analytics & Business Intelligence Manager to join our dynamic team at blackbird labs inc. In this pivotal role, you will lead our analytics initiatives, transforming data into actionable insights that drive business strategy and decision-making.Your responsibilities will include developing analytical frameworks, guiding data visualization efforts, and collaborating with cross-functional teams to ensure data-driven decision making. You will also oversee the implementation of advanced analytics tools and methodologies to enhance our business intelligence capabilities.

Manager of Data Analytics Current is a premier consumer fintech platform dedicated to revolutionizing financial access for everyday Americans, boasting a community of over five million members. We offer innovative financial solutions that work harmoniously to address the needs of our members, empowering all Americans to build a prosperous financial future. Located in New York City, our results-oriented environment drives us to create superior products, accelerate growth, and enable every team member to make a meaningful contribution to our mission of enhancing financial outcomes. About the Role We are in search of a dynamic analytics leader to steer our data and business analytics initiatives while managing a high-performing team. This crucial position is instrumental in driving business expansion and enriching the overall customer lifecycle. As a strategic partner to departmental leaders, the Manager of Data Analytics will harness data to guide critical decisions, optimize operations, and identify avenues for growth and efficiency. In this hands-on leadership role, you will oversee a skilled team of analysts, collaborating across functions to launch new products, enhance existing offerings, and stimulate business growth. By gaining deep insights into customer behavior, you will ensure a seamless user experience and inform strategies that enhance member value. Your responsibilities will include enforcing functional processes and best practices while leading the development of analytical projects. You will review your team's work, provide structural guidance on complex analyses, and implement talent strategies that guarantee ongoing success. Your expertise in experimentation frameworks, business intelligence, and in-depth analytics will be pivotal in shaping the future of Current's financial products. Responsibilities Lead and mentor a team of data analysts, promoting a culture of analytical excellence through constructive feedback and structured analyses. Collaborate with product managers, business leaders, and engineering to design, execute, and evaluate experiments. Deliver timely insights and reporting that highlight key performance drivers and reveal untapped growth opportunities for leadership. Work with stakeholders across Product, Analytics Engineering, and Engineering to create robust data models and define data requirements. Implement functional processes, best practices, and data governance to maintain data integrity, accuracy, and consistency across all analyses. Facilitate the development of analytics models, segmentation, and personalization strategies to optimize profitability and growth.

Pelago is the premier virtual clinic dedicated to Substance Use Management, offering tailored support and treatment for individuals striving to overcome tobacco, alcohol, and opioid dependencies. Our personalized approach addresses unhealthy habits and active substance use disorders, catering to each member's unique health profile, lifestyle, genetics, and aspirations. Our comprehensive suite of virtual services includes educational resources, cognitive behavioral therapy (CBT), and extensive medication-assisted treatment (MAT). Pelago empowers employers and health plans to provide accessible, cost-effective, and effective treatment options for substance misuse. Having scaled our operations to assist hundreds of employers and health plans, we have positively impacted the lives of over 750,000 members in managing their substance use. With our recent Series C funding round, raising over $151 million from top-tier global investors, we invite you to join our mission to enhance the health of individuals everywhere!About Pelago Data:The Data team at Pelago plays a pivotal role in decision-making as we continue to grow. As we evolve our data capabilities, we aim to transform raw data into actionable business insights.We specialize in converting complex healthcare and product data into structured, reliable, and thoroughly documented models that drive reporting, experimentation, AI initiatives, and everyday decision-making throughout the organization.Overview of the Role:We are in search of an Analytics Engineer who is passionate about constructing scalable data models, deeply analyzing business logic, and creating reusable data assets.In this position, you will influence how data is organized and defined at Pelago, ensuring consistency, quality, and usability across various applications—from dashboards to experiments to future machine learning projects.

About UsAt Resonance, we are revolutionizing the fashion sector by fostering a more sustainable ecosystem for designers, brands, manufacturers, consumers, and the environment. Our innovative AI-driven platform, ONE, facilitates efficient and sustainable product design, sales, and manufacturing. By minimizing overproduction and unnecessary inventory, Resonance ONE is committed to reducing the environmental impact of garment creation.Headquartered in New York City and Santiago, Dominican Republic, Resonance collaborates with prominent brands, including THE KIT and Rebecca Minkoff, to achieve significant reductions in resource consumption: 97% less dye, 70% less water, and 50% less material compared to conventional fashion brands.About the RoleWe are on the lookout for a skilled Data and Analytics Engineer to construct, maintain, and expand our data infrastructure. In this pivotal role, you will enhance our analytical capabilities, allowing Resonance to utilize data-driven insights across our intricate technology ecosystem.Your responsibilities will include developing and maintaining efficient ELT pipelines to transform data from various sources—such as telemetry data, Shopify, SendGrid, CreateOne, and other internal platforms—into structured, accessible datasets within Snowflake. Furthermore, you will create advanced LookML models to enable interactive analytics, dashboards, and explorations utilized daily by our business teams.Responsibilities Design, build, and sustain scalable ELT pipelines that reliably convert raw data from sources like Shopify, SendGrid, telemetry services, and proprietary applications (CreateOne) into our Snowflake data lake and data warehouses. Develop efficient and maintainable data models within Snowflake that underpin analytics, reporting, and data-driven decision-making. Create and refine LookML models to facilitate intuitive exploration, dashboards, and actionable analytics for non-technical business users. Work closely with product teams, engineers, and business stakeholders to identify data requirements, gather insights, and deliver impactful data solutions. Continuously enhance data quality, governance, and accessibility while implementing best practices for data management and compliance. Proactively monitor and optimize ELT performance, reliability, and cost-effectiveness. Stay abreast of the latest data engineering technologies, methodologies, and analytics tools to ensure Resonance maintains industry-leading capabilities. RequirementsMinimum Qualifications 4+ years of relevant experience in data engineering, analytics engineering, or a related field. Strong expertise in building robust ELT/ETL data pipelines using contemporary tools and methodologies. Hands-on experience with Snowflake or comparable cloud data platforms....

About Us Nourish is dedicated to transforming health through improved nutrition. Chronic diseases linked to poor nutrition represent a significant health crisis that often goes unnoticed. Collaborating with Registered Dietitians can provide effective solutions, yet fewer than 1% of eligible Americans actually utilize these benefits. At Nourish, we are developing an AI-driven healthcare system focused on nutrition. Our aim is to enhance health outcomes, reduce expenses, and promote longer, healthier lives. Founded three years ago, we have successfully launched our services across all 50 states, currently supporting thousands of dietitians and hundreds of thousands of patients. We are rapidly expanding, collaborating with national health insurance companies and provider groups, and have secured $115 million in funding from prestigious investors including JP Morgan Growth Equity, Thrive Capital, Index Ventures, Y Combinator, and others. Our angel investors include renowned healthcare entrepreneurs and notable figures such as soccer star Alex Morgan. To learn more about us, click here and read about our recent Series B funding here. About the Role As we scale, data plays a pivotal role in driving growth and enhancing patient outcomes. In the position of Data Analytics Lead, you will oversee all analytics for a key business function, developing our data strategy, tackling complex challenges, and facilitating informed, rapid decision-making across the organization. This position merges analytics engineering with strategic insights: you will create efficient, scalable data models and pipelines while delivering clear, actionable insights that amplify our effectiveness. As a key member of our data team in New York City, you will help shape our long-term data vision and collaborate closely with our Operations, Engineering, Product, and Design teams. Our team operates in a hybrid model, with in-office days 2-3 times a week, welcoming individuals who are eager to engage in our vibrant office culture.

DIRECTOR OF DATA ANALYTICS Current is a pioneering consumer fintech platform redefining financial access for everyday Americans, boasting a community of over five million members. Our mission is to provide innovative financial solutions that integrate seamlessly to meet the diverse needs of our members, empowering all Americans to cultivate better financial futures. Based in the heart of New York City, our results-driven culture motivates us to create superior products, accelerate growth, and inspire every team member to make a meaningful impact on our mission to enhance financial outcomes. ABOUT THE ROLE We are on the lookout for an exceptional, hands-on Director of Data Analytics to drive and expand our functional analytics organization. In this pivotal role, you will lead analytics teams embedded within various departments, ensuring that data-driven insights are central to every strategic decision at Current. As a functional leader, you will uphold the standards of analytical excellence, collaborating with department heads to align on overarching strategies while ensuring that your analytics leaders adhere to established frameworks and robust data processes. A technically adept leader, you will delve into root-cause analyses, evaluate analysis designs, and interpret complex experimental results alongside your team. You must possess exceptional storytelling skills to translate intricate data into engaging narratives that foster adoption and stimulate organizational change. RESPONSIBILITIES Steer the analytics function organization-wide, ensuring methodological consistency, toolset uniformity, and quality standards across all embedded teams. Collaborate closely with Department Leads to synchronize analytics roadmaps with broader business objectives and P&L goals. Establish and oversee standardized processes for experimentation, data modeling, and reporting, ensuring adherence to Current’s best practices for data integrity. Serve as a subject matter expert in structuring and guiding in-depth exploratory analyses and business case development. Engage directly with data to tackle the company's most complex challenges. Participate actively in formal reviews for RFCs, experimental designs, and learning briefs, providing critical oversight on success metrics and the interpretation of complex test results. Manage the performance and career development of Analytics Managers and Leads, mentoring to elevate the technical and storytelling capabilities of the organization. Effectively manage team bandwidth and prioritize high-impact initiatives.

LifeMD is hiring a Vice President of Data & Analytics in New York, NY. This executive role shapes how the company approaches data and analytics, setting the direction for data strategy and ensuring the team delivers insights that guide business decisions. Key responsibilities Develop and execute data and analytics initiatives across the organization Manage and mentor a team of data professionals focused on generating actionable insights Implement advanced analytics solutions to support LifeMD’s healthcare mission Promote data-driven decision making to help drive business growth Team and impact This position leads a skilled group of data experts, working together to turn complex information into clear guidance for the company. The work directly supports LifeMD’s commitment to quality and innovation in healthcare.

Join Our Team as a Freelance Manager, Data & Analytics!SSCG Media Group (SSCGMedia.com) stands as one of the largest and most accomplished full-service, 100% pharma-focused strategic media planning and buying groups in the world, proudly affiliated with Omnicom.We are a dynamic and collaborative team dedicated to fostering a culture of curiosity, creativity, and continuous learning. Our core values—Substance, Style, Conviction, and Grace (SSCG)—guide our work and our relationships, and we are eager to see these values reflected in our candidates. We provide ample opportunities for our talent to grow, face challenges, and discover their passion.If you embody Substance, Style, Conviction, and Grace and possess the qualifications listed below, we want to hear from you!

ABOUT THE ROLEPeloton is embarking on an exciting new journey, transitioning from a leader in connected fitness to a holistic wellness ecosystem, fueled by groundbreaking innovation and data analytics. Our unwavering mission is to empower our global community to lead healthier, happier, and more fulfilling lives. As we reshape the future of health, we seek visionary leaders ready to create the frameworks that will enhance our world-class member experiences.Within our user-focused, results-oriented Product organization, the Product Analytics team plays a crucial role in providing strategic insights, robust reporting capabilities, and A/B testing to guide our direction and product roadmap. The Senior Manager will lead a range of monetization and product analytics initiatives designed to effectively enhance Peloton’s member engagement while steering analytical efforts to refine our product strategy.We are in search of a Senior Manager, Product Analytics, who will take charge of high-impact projects, establish foundational frameworks, and manage a dedicated team of analysts.YOUR DAILY IMPACT AT PELOTONCollaborate closely with the Product Management Organization and key stakeholders to understand their business goals, translating them into actionable solutions (e.g., exploratory data analyses, new KPIs, business intelligence, and data science) while gaining stakeholder alignment and support.Act as a thought partner and consultant for the Performance Marketing and Product Marketing functions by proactively uncovering strategic insights and analytical solutions that promote growth in member engagement.Enhance and refine Peloton’s product strategy by delivering precise, timely, and high-quality analytics.Oversee the development and presentation of insightful reports and KPIs for business reviews and leadership updates.Utilize industry best practices to optimize engagement strategies at Peloton through effective data utilization and insights.Support experimentation initiatives by partnering with Product Managers to establish effective A/B or multivariate tests, executing post-experiment success measurements and statistical evaluations.Lead an engaged and high-performing team of product analysts and data scientists.Mentor and develop team members, both technically and strategically, on industry best practices such as statistical modeling, exploratory data analysis, and experimentation analytics.Create a culture of excellence and inspire the team to elevate their performance.

Join us in leveraging technology to create a significant positive impact on the environment!Kraken spearheads innovative global advancements in energy solutions.As a forward-thinking technology company, we are dedicated to developing a smart and sustainable energy ecosystem. Our initiatives focus on optimizing renewable energy generation, enhancing grid intelligence, and empowering utilities to deliver outstanding customer experiences. Our integrated energy management platform is revolutionizing the industry worldwide for the benefit of all.This is an exciting era for the energy sector. Contribute to shaping a more sustainable and brighter future.About Kraken CustomerWe aim to construct the most innovative, AI-driven platform for energy management. From resource optimization to providing exceptional customer experiences through advanced Customer Information Systems (CIS), billing, meter data management, CRM, and AI-enabled communications, Kraken is leading the next wave of energy industry innovation.Our Mission: The future of energy will differ vastly from what we know today. It's not just about envisioning our future; it's about actively building it now.Who We Seek: We are in search of a talented Data & Analytics Client Delivery Lead to empower clients to fully harness Kraken's data and enhance their data capabilities. Candidates should possess extensive analytics experience within a robust, modern data team (e.g., data analytics, business intelligence, or related fields—roles such as analytics manager, lead data analyst, or data consultant are highly regarded). A passion for client engagement and a commitment to driving the clean energy transition are essential—experience in the energy sector is a plus! The Role: In this role, you will collaborate directly with Kraken clients to foster the development of modern, transformative data and analytics capabilities as part of their overall Kraken transformation. You will train clients on utilizing Kraken data and assist them in constructing critical reporting and insightful analytics, occasionally engaging in hands-on query writing or demonstrating analytics. Your leadership experience in analytics teams will be invaluable in advising senior client data leaders on building a high-performing, business-focused data organization and employing data as a strategic asset to achieve ambitious business and clean energy objectives. We take pride in being a flat and agile organization and intend to maintain this structure...

About the Role DoorDash is hiring a Manager of Data Science to join the Logistics Analytics team. This leader will use data insights to improve logistics operations and delivery efficiency. The role involves managing a team of data scientists and working with partners across the company to support strategic projects and roll out new solutions. Locations San Francisco, CA Sunnyvale, CA Seattle, WA New York, NY Chicago, IL Austin, TX Washington D.C. What You Will Do Lead and mentor a team of data scientists focused on logistics analytics Collaborate with cross-functional teams to support key business initiatives Apply data analysis to optimize logistics and boost delivery performance Drive implementation of new solutions that improve operational efficiency

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.

Join Edgewood Partners Insurance Center as a Data & Analytics Solutions Consultant and play a pivotal role in transforming data into actionable insights. You will collaborate with clients to design and implement innovative analytics solutions that drive business success. Your expertise will help our clients optimize their operations and achieve their strategic goals.

Join VTS as the Head of Data & Analytics, where you will drive the strategic vision for our data initiatives. In this leadership role, you will oversee our data analytics team, ensuring we leverage data to enhance decision-making and drive business outcomes. Your expertise will guide the integration of data-driven insights across all levels of the organization.

Join VaynerMedia as a Resident in Data Analytics, where you will be at the forefront of transforming data into actionable insights. This role is perfect for individuals passionate about leveraging data to drive strategic decisions within a dynamic and fast-paced environment.

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.

Join The New York Times as an Engineering Manager, spearheading the Analytics Environment team within our Data Platform division. In this pivotal role, you will cultivate a dynamic, secure analytics and data prototyping environment that empowers users across the organization to unearth insights and conduct in-depth analyses. This position is based in our vibrant New York City headquarters and offers a hybrid working model.

Senior Data Analyst Current is an innovative consumer fintech platform dedicated to reshaping financial access for everyday Americans, boasting over five million members. We deliver integrated financial solutions that cater to our members' needs, empowering all Americans to achieve better financial futures. Located in the heart of New York City, our results-oriented culture drives us to enhance our products, accelerate our growth, and empower every team member to make a substantial impact on our mission to improve financial outcomes. ABOUT THE ROLE We are on the lookout for a talented Senior Data Analyst with prior experience in the FinTech and B2C/DTC sectors. In this pivotal role, you will harness data to influence strategic decisions, enhance business performance, refine customer interactions, and ensure a seamless user experience. Your expertise in advanced analytics will help identify trends, evaluate performance, and provide crucial insights that bolster data-driven decision-making throughout the organization. RESPONSIBILITIES Analyze extensive datasets to uncover trends, insights, and opportunities that propel business growth. Create and sustain dashboards and reports to monitor key performance indicators (KPIs) across various business units. Collaborate with cross-functional teams, including Product, Engineering, Marketing, and Customer Success, to implement data-driven solutions. Employ predictive analytics and machine learning models to enhance business processes and customer engagement strategies. Conduct A/B testing and customer segmentation analysis to refine decision-making and personalization strategies. Deliver actionable insights to leadership regarding business performance, customer behavior, and operational trends. Guarantee data integrity, accuracy, and governance across multiple data sources and platforms. Mentor junior analysts and foster a data-driven culture within the company.

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.