Data Science Analytics Associate

Join Celonis as an Associate Value Engineer in our innovative Orbit Program, specializing in AI-driven data science and analytics. In this role, you will work at the intersection of technology and business, helping organizations leverage data to unlock their full potential. You will collaborate with cross-functional teams to design and implement solutions that deliver measurable value, while also engaging with clients to understand their unique challenges and objectives.

Join Celonis as a Senior Applied AI Engineer specializing in Value Engineering within the Life Sciences sector. In this pivotal role, you will leverage cutting-edge AI technologies to derive actionable insights from complex datasets, allowing organizations to enhance operational efficiency and improve patient outcomes.

Join us on our mission to transform real estate transactions into smarter, faster, and seamless experiences. Real estate represents the largest asset class globally, yet the legal frameworks and tools supporting it remain outdated, manual, and underfunded. Legal professionals must navigate through complex documents and consolidate data from various sources, all while clients expect expedited, transparent due diligence. This is where we excel. Orbital Copilot serves as an AI assistant tailored specifically for commercial real estate law, enabling up to 70% faster complex due diligence with unparalleled legal precision. We have successfully secured a $60 million Series B funding round to boost our expansion across the UK and US markets. Trusted by leading firms such as Goodwin and BCLP, we aim to eliminate tedious tasks, allowing legal teams to concentrate on their core competencies: exercising keen legal judgment, providing exceptional client service, and expediting deal closures. Joining Orbital means becoming part of a team that is redefining the future of real estate transactions—operating with urgency, fostering collaboration, and empowering individuals to make a significant impact from day one. Embark on a Career in Legal AIOrbital is establishing its inaugural Customer Success team in the US, and we are seeking an Associate, Customer Success to assist our founding Senior CSM in delivering exceptional outcomes for some of America’s most esteemed law firms.This position serves as an accelerated pathway into Customer Success within a rapidly growing AI organization. About the RoleThis is a unique opportunity for individuals who:Possess a minimum of 2 years of experience in a law firm (e.g., solicitor training contract, associate role, or related legal experience) OR have familiarity with legal technology and aspire to transition into SaaS.Additionally, 1-2 years in Customer Success is a plus (not mandatory).In this role, you will not manage a portfolio immediately. Instead, you will:Collaborate with a Senior CSM on high-profile accounts.Manage customer support channels effectively.

Join us in our mission to transform real estate transactions into a smarter, faster, and seamless experience. Real estate, known as the largest asset class globally, still relies on outdated legal processes and tools that are often slow, manual, and significantly underfunded. Legal professionals face the challenge of meticulously reviewing complex documents and gathering information across various platforms, while clients increasingly demand quicker and more transparent due diligence. This is where we step in. Our product, Orbital Copilot, is an AI-driven assistant designed specifically for commercial real estate law. Created in collaboration with former practicing real estate attorneys, our platform enhances the due diligence process by up to 70%, ensuring legal-grade accuracy. With a recent funding round of $60 million in Series B, we are poised to accelerate our expansion in both the UK and US markets. We are proud to partner with top-tier firms such as Goodwin and BCLP, streamlining operations to allow legal teams to focus on what they excel at: providing exceptional legal insight, delivering outstanding client service, and finalizing deals more efficiently. At Orbital, you will become part of a forward-thinking team that is reimagining the landscape of real estate transactions—working quickly, collaboratively, and empowering individuals to make a significant impact from day one.Your Responsibilities Include: Join our pioneering U.S. sales team, bringing a successful U.K. brand to new shores while collaborating closely with senior leadership to establish our presence in the U.S. market.Introduce our groundbreaking SaaS and Generative AI platform to a diverse array of prospects across various industries.Grow alongside the company as we expand, offering significant opportunities for professional development and contribution within a high-achieving and supportive team.Collaborate with leading organizations to help shape our go-to-market strategy in the U.S.Work closely with our Chief Revenue Officer to help develop and implement a strategic, customer-focused sales approach.QualificationsDemonstrated success in achieving or surpassing targets within a technology sales environment.A proactive, hands-on learner who excels in fast-paced environments and adapts seamlessly to change.A commitment to quality and excellence in every aspect of your work.

3-4 days minimum on-site attendance required in our New York, NY office.At LG Ad Solutions, we are at the forefront of connected TV (CTV) and cross-screen advertising, providing innovative advertising solutions that align perfectly with the dynamic digital media landscape.Job Overview:Join our new Data Analytics and Operations team within the Research department as we enhance ownership of analytics outputs and ensure our core data assets are primed for use. This role is pivotal in guaranteeing the reliability and usability of our data, transforming it into impactful insights for our business and clients.In this role, you will tackle complex problem spaces, set standards where they are lacking, and take ownership of converting intricate data into actionable outputs. Your ability to navigate uncertainties, trace issues across systems, and adapt strategies as you gain insights will be essential.Key Responsibilities:Engage with expansive and intricate datasets to analyze data behavior, quality, and downstream effectsUnderstand and adhere to analytics outputs, including acceptance criteria and documentation for consumptionCommunicate findings, risks, and recommendations effectively to technical and non-technical stakeholdersAssist in maintaining workflows that facilitate analytics delivery, leveraging automation and AI tools where applicableCollaborate closely with engineering, research, and product teams to identify issues and communicate resolutionsSpot gaps in data reliability or usability and take proactive steps to address themContribute to building an analytics discipline that prioritizes ownership, clarity, and impact over unnecessary processAutomate processes at scale – Transition manual, repetitive data tasks into efficient, reliable workflowsEnsure the accuracy, clarity, and reliability of all outputsConduct well-defined analyses and investigations under guidanceQualifications:Exceptional analytical and problem-solving capabilities with the aptitude to manage ambiguity2+ years of relevant experience with SQL or Python, comfortable working with raw and intermediate datasetsStrong communication skills, capable of translating complex information to diverse audiences

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

About Avalere HealthAt Avalere Health, we are driven by a singular mission: to reach EVERY PATIENT POSSIBLE. Our commitment is to identify, treat, support, and care for each patient equally. Our Advisory, Medical, and Marketing teams unite to cultivate innovative connections, paving the way for a healthcare landscape where access is universal and no patient is overlooked. To fulfill our mission, we offer enriching and purpose-driven career paths that empower our team to make a meaningful difference in patient lives. We are dedicated to fostering a culture that encourages our employees to express their authentic selves at work, leveraging diverse backgrounds and skills to contribute to our overarching goal of enhancing healthcare for everyone, everywhere. Our flexible work model allows our global teams to choose their working environment, whether in an office or remotely, based on the needs of the team and our clients. Our major hubs in London, Manchester, Washington, D.C., and New York serve as collaboration centers, enabling our teams to come together when necessary. Remote employees are equally supported with dedicated social opportunities and resources. Our inclusive culture is fundamental to our operations. We encourage our employees to bring their full selves to work through our six Employee Network Groups: Diverse Ability, Family, Gender, LGBTQ+, Mental Health, and Race/Ethnicity. These groups foster diversity, equity, and inclusion, offering opportunities to connect, learn, and socialize through regular meetings and activities. We are also an accredited Fertility Friendly employer, providing enhanced parental leave and a flexible culture to support all employees throughout their family planning journeys. Investing in our employees’ professional growth is a priority, with ongoing career development opportunities, access to thousands of on-demand training sessions, regular career discussions, and the chance for global career moves across various capabilities.We take pride in being part of the Disability Confident Scheme, ensuring fair interview processes for candidates with disabilities, long-term health conditions, or neurodiversity. If you wish to apply and require any accommodations, please inform us in your application.

Join us as we revolutionize the real estate industry by making transactions smarter, faster, and seamless. Real estate represents the largest asset class globally, yet the legal processes remain cumbersome and under-resourced. Lawyers often sift through dense documents and fragmented information while clients seek quicker, more transparent due diligence. Enter Orbital Copilot, the AI-driven assistant tailored for commercial real estate law. Created in collaboration with former real estate attorneys, our solution enhances due diligence efficiency by up to 70% while ensuring legal-grade accuracy. With a recent $60 million Series B funding round, we are poised to accelerate our expansion into the UK and US markets. Leading firms such as Goodwin and BCLP trust us to eliminate tedious tasks, allowing legal teams to focus on their core competencies: delivering exceptional client service and navigating deals to completion swiftly. At Orbital, you will be part of a dynamic team reimagining real estate transactions, fostering rapid collaboration, and empowering individuals to make significant contributions from day one. The OpportunityThis role transcends traditional post-sales responsibilities.Your responsibilities will include:Cultivating relationships with prestigious law firms worldwide.Acting as a strategic advisor to senior legal and real estate stakeholders.Engaging in regular travel to client offices throughout the US.Defining the framework for scaling Customer Success in the US market.Contributing to the development of our US Customer Success team.You will report directly to the VP of Customer Success and play a pivotal role in shaping our growth in the US. Key ResponsibilitiesManage a Portfolio of High-Impact AccountsLead strategic initiatives across onboarding, adoption, renewals, and expansions.Foster executive-level relationships with partners, senior associates, and innovation teams.Design and implement sophisticated onboarding and adoption strategies tailored to complex legal workflows.

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.

About Future Secure AI Future Secure AI develops advanced artificial intelligence solutions for global enterprises across multiple industries. The team values bravery, rigor, and curiosity, working with state-of-the-art technology to solve real-world problems. Leadership encourages collaboration and welcomes new ideas, creating space for every team member to contribute. Professional development is a priority, and individual growth is recognized as central to the company’s success. Role Overview The Senior AI Engineer - Data Science will join the advanced analytics and AI group, focusing on designing, building, and deploying sophisticated machine learning systems. Much of the work centers on large language models (LLMs) and their application to high-impact challenges faced by enterprise clients. This role combines technical depth with strategic influence. In addition to hands-on engineering, the Senior AI Engineer will mentor junior talent and help shape the company’s approach to responsible, scalable AI. Key Responsibilities Design, build, and deploy machine learning models and LLM systems to deliver value for products and users. Analyze large, complex datasets, both structured and unstructured, to identify insights and new opportunities. Improve the quality of LLM outputs, including optimizing multi-step reasoning for varied use cases. Lead MLOps efforts, including model performance monitoring, benchmark creation, quality assurance, and compliance. Shape long-term AI and data strategies, with attention to governance, ethical AI practices, and scalable frameworks. Work closely with engineering, product, and executive teams to deliver production-ready solutions. Mentor junior data scientists and help set standards for technical excellence. Location This position is based in Austin, TX or New York, NY.

On-site attendance required 3-4 days a week in our New York, NY office.LG Ad Solutions stands at the forefront of the connected TV (CTV) and cross-screen advertising industry. Our commitment to innovation has established us as a global leader, providing cutting-edge advertising solutions that align perfectly with the dynamic digital media landscape.Job Overview:We are in the process of creating a robust Data Analytics and Operations team within our Research department to enhance the ownership of our analytics outputs and ensure the preparedness of our core data assets. This pivotal role is dedicated to validating that our data is accurate, actionable, and transformed into insights that are ready for business and client use.You will thrive in ambiguous environments, establish standards in the absence of guidelines, and be accountable for converting intricate data into dependable, consumable formats. Comfort with exploring unknown territories, tracing problems across systems, and adapting strategies as you progress will be crucial.Key Responsibilities:Engage with extensive and complex datasets to analyze data behavior, quality, and downstream effects.Interpret and document analytics outputs, ensuring adherence to acceptance criteria for effective consumption.Articulate findings, risks, and recommendations clearly to both technical and non-technical stakeholders.Assist in maintaining workflows that bolster analytics delivery, incorporating automation and AI-enhanced tools when applicable.Collaborate closely with engineering, research, and product teams to identify issues and communicate resolutions.Spot gaps in data reliability or usability and take proactive measures to address them.Contribute to establishing an analytics culture that emphasizes ownership, clarity, and impactful results over bureaucratic processes.Automate procedures on a large scale – transitioning manual, repetitive data tasks into efficient, transparent workflows.Prioritize accuracy, clarity, and dependability in outputs.Conduct well-defined analyses and investigations under guidance.Qualifications:Exceptional analytical and problem-solving abilities, with a proficiency in navigating uncertain situations.Minimum of 2 years of experience with SQL or Python, comfortable working with both raw and intermediate datasets.Strong communication skills, capable of conveying complex information to diverse audiences.Experience in data analytics, operations, or a related field is preferred.

Join our team at Sonsoft Inc. as a Data Science and Analytics Specialist, where you will play a pivotal role in transforming data into actionable insights. You will leverage your analytical skills to drive strategic decision-making and improve business outcomes. Your expertise in data analysis and visualization will help us to enhance our operational efficiency and deliver exceptional results.

Join our dynamic team as the Director of Data Science Analytics & Integration, where you will lead innovative projects that harness the power of data to drive strategic decision-making and enhance operational efficiency. In this pivotal role, you will oversee the development and deployment of cutting-edge analytics solutions, guiding a team of talented data professionals to deliver actionable insights across various sectors.As a key leader, you will collaborate closely with cross-functional teams to integrate data-driven strategies into business processes, ensuring alignment with organizational goals. Your expertise in data science methodologies and tools will empower you to mentor staff, fostering a culture of continuous improvement and innovation.

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

About RebarRebar is revolutionizing the commercial HVAC, Electrical, and Plumbing supply industry by developing a cutting-edge operating system. Our AI-driven quoting engine is expanding across leading suppliers in North America, making measurement and evaluation crucial to our infrastructure.As a Data Analytics Engineer, your mission will be to construct systems that provide insights into our AI's performance in real-world scenarios—analyzing successes and failures, and assessing their influence on business outcomes. You will establish essential product metrics, create monitoring frameworks, and deliver both internal and customer-facing data products that convert raw model outputs into reliable intelligence.This role sits at the crossroads of AI evaluation, product analytics, and data-driven product development. You will not only develop innovative data products that enhance customer value but also track the real-world performance dynamics of our AI systems, informing internal teams and stakeholders for better decision-making. If you are passionate about building analytic infrastructures and measurement systems as well as addressing significant business questions, this position is tailored for you.Required QualificationsBachelor’s or Master’s degree in Computer Science, Data Science, or a related field.Proficient in Python, skilled in SQL, and experienced with Data Warehousing.Demonstrated experience handling large, real-world datasets and navigating ambiguous problem definitions.Proficient in writing modular, testable analytics code and familiar with version control environments.Ability to design meaningful metrics and evaluation frameworks for complex systems from the ground up.Experience in building data visualizations and dashboards.1–3 years of experience in analytics engineering, data science, or product analytics roles working with production data systems.Excellent communication skills for conveying quantitative insights to both technical and non-technical audiences.ResponsibilitiesDesign and develop data-driven product features utilizing Rebar’s historical datasets.Define, implement, and productionize metrics to monitor AI system performance over time, including automated tracking and monitoring of regressions and drift.Analyze model failure modes across documents, projects, customers, and time, communicating findings effectively...

DeepIntent combines data science, real-world clinical data, and strategic advertising to advance healthcare advertising. The company’s mission is to improve patient outcomes through data-driven solutions. More information is available at www.DeepIntent.com. Role overview The Director of Data Science leads global initiatives that shape DeepIntent’s healthcare advertising technology. This leader manages a distributed team working on advanced modeling, optimization, and AI projects. The team supports healthcare marketers in connecting patients, providers, and brands with care and efficiency. This position is responsible for driving predictive and privacy-compliant insights for precision marketing and measurable results. The Director collaborates with product, engineering, and commercial teams to deliver scalable, data-centric solutions, and oversees data scientists based in the U.S., Europe, and India. Leadership and strategy Partner with executive and cross-functional leaders to turn data science capabilities into scalable, compliant, and commercially valuable solutions. Implement the global data science roadmap to advance DeepIntent’s mission in healthcare marketing. Mentor and lead a geographically distributed team of data scientists across multiple regions. Encourage a culture that values innovation, experimentation, and collaboration. Contribute to strategic planning and identify opportunities where advanced analytics and AI can improve business outcomes. Healthcare-focused data science and AI Design and refine predictive and causal models for patient and provider outreach, audience segmentation, and campaign performance analysis. Oversee development and deployment of machine learning models for real-time bidding, healthcare audience modeling, and privacy-first identity resolution. Integrate real-world data, claims data, and digital engagement signals into scalable machine learning frameworks. Ensure all models and data science methods comply with healthcare privacy standards, including HIPAA and other global regulations. Location New York, New York

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 inizioevoke as the Senior Director of Analytics, where you will take the lead in shaping our data-driven strategies and analytics initiatives. In this pivotal role, you will oversee analytics projects, driving insights that support decision-making across the organization. This position requires a strategic thinker with a passion for data, who can collaborate effectively with cross-functional teams to harness analytics for business growth.

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....