Senior Customer Data Scientist - Experimentation Solutions

Join Datadog as a Senior Customer Data Scientist, where you will collaborate closely with clients to design, implement, and scale impactful experimentation programs. This position is perfect for an individual with extensive expertise in applied experimentation, who excels in customer-facing roles and is driven by achieving measurable business results. You will assist clients in experiment design, metric formulation, and data validation, empowering them to establish reliable, data-driven experimental practices. By working collaboratively with Sales, Product, and Engineering teams, you will play a pivotal role in fostering customer success and enhancing product offerings.At Datadog, we value our office culture, the relationships we forge, and the creativity we inspire. We embrace a hybrid work environment to ensure our team members achieve a work-life balance that suits their needs.

Senior Data Scientist - ExperimentationBecome a pivotal part of our journey to revolutionize how people shop and dine, with a focus on impact, innovation, and growth. Our Analytics team is central to Deliveroo, enabling informed decision-making across product, commercial, and operational aspects through rigorous experimentation, causal inference, and advanced machine learning techniques.We nurture a vibrant Analytics community, featuring guest lectures, study groups, mentorship programs, and a comprehensive technical review process.Our data scientists come from diverse backgrounds but share a commitment to excellence.We are on the lookout for a Senior Data Scientist to join our London team, with a hybrid work model requiring 3 days in the office. In this capacity, you will empower high-quality, human-led decision-making to maximize our impact.Your ResponsibilitiesAs a Senior Data Scientist at Deliveroo, your primary objective will be to optimize business impact within one of our product domains. A significant aspect of your role will involve designing, executing, and interpreting experiments, along with utilizing causal inference to inform product decisions in complex real-world environments.You will delve deeper than merely answering whether a feature was successful; your focus will be on uncovering the genuine impact, understanding the reasons behind the outcomes, and how results can be applied across various users, markets, and timelines.Here’s a glimpse into your day-to-day activities:Strategic Insights through Experimentation: Spearheading the design of both straightforward and intricate experiments, proactively translating insights into strategic initiatives.Expertise in Causal Inference: Employing sophisticated techniques to assess long-term and varied treatment effects.Deriving Trustworthy Conclusions: Navigating settings with selection bias or imperfect randomization.Generating In-depth Product Insights: Identifying fundamental factors influencing experiment performance, understanding why features thrive, and how results can be generalized across different users, markets, and timelines.Utilizing insights from previous experiments to enhance future decision-making.Your QualificationsProven experience in designing, implementing, and interpreting A/B experiments within production environments.Robust understanding of causal inference concepts.Capacity to apply statistical reasoning to complex real-world product challenges.

Why Choose PlayStation?At PlayStation, we pride ourselves on being not just the Best Place to Play, but also the Best Place to Work. As a recognized global leader in entertainment, we create the PlayStation family of products and services, including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, and acclaimed titles from PlayStation Studios.We are committed to fostering an inclusive environment that empowers our employees and celebrates diversity. We invite individuals with a passion for innovation, technology, and play to explore our open positions and join our expanding global team.PlayStation is part of Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.As a Lead Data Scientist, you will spearhead innovation in experimentation and causal inference, influencing the future of decision-making and product innovation at SIE. You will champion cutting-edge research in experimentation methodologies and mentor fellow team members. Your role will focus on enhancing our experimentation strategy, nurturing a culture of curiosity and rigor, and supporting cross-functional teams in delivering player-centered experiences through data-driven decisions.

At Wayve, we are dedicated to fostering a diverse, equitable, and respectful culture that welcomes individuals from all backgrounds, valuing their distinct skills and viewpoints, irrespective of sex, race, religion, ethnicity, disability, age, citizenship, marital status, sexual orientation, gender identity, veteran status, or any other characteristic protected by law.About UsFounded in 2017, Wayve stands at the forefront of Embodied AI technology development. Our cutting-edge AI software and foundational models empower vehicles to perceive, comprehend, and navigate complex environments, significantly enhancing the usability and safety of automated driving systems.We envision a future where autonomy drives global progress. Our intelligent, mapless, and hardware-agnostic AI solutions are crafted for automakers, propelling the shift from assisted to fully automated driving. In our dynamic environment, we thrive on tackling big challenges and embrace uncertainty to unlock innovative solutions. Our commitment to high standards and continuous learning fuels our mission to create a smarter, safer future.Your contributions at Wayve are valued. We prioritize diversity, welcome new perspectives, and cultivate an inclusive work atmosphere where we support each other in making an impact.Join Wayve and define your career experience!As a Data Scientist in the Experimentation and Product team, your primary focus will be generating robust, actionable insights that guide our product, data, and research teams in prioritizing current efforts and identifying future opportunities.Instead of relying on black-box models to optimize machine learning performance, you'll employ experimental and causal inference methods to deliver statistically sound and highly interpretable findings. This role presents a unique opportunity to lead data science methodologies in a complex and innovative area within autonomous vehicles (AV).Your responsibilities will include:Developing frameworks to effectively synthesize complex video and simulation data, facilitating analytics-driven strategies from individual product teams to the company level.Formulating and refining the performance metrics essential for measuring success in the evolving AV landscape.Introducing and implementing innovative experimental techniques aimed at improving the signal-to-noise ratio and expediting feedback cycles.

Role overview Wise seeks a Senior AI Data Scientist in London to focus on Anti-Money Laundering (AML) solutions. The position involves building analytics and machine learning models aimed at identifying and preventing fraudulent transactions. What you will do Design and refine machine learning models that enhance AML initiatives Use data analytics to uncover patterns associated with financial crime Work closely with compliance, engineering, and operations teams to deliver AI-driven tools Contribute to process improvements that reinforce Wise’s compliance and daily operations Collaboration This role is part of the data science team and involves working alongside colleagues from various backgrounds. The goal is to keep Wise’s AML solutions effective and responsive to new challenges.

About GoCardlessGoCardless is a pioneering global bank payment platform that empowers over 100,000 businesses, ranging from innovative startups to established brands, to seamlessly collect and send payments through direct debit, real-time payments, and open banking.With an impressive annual processing volume exceeding US$130bn across more than 30 countries, we facilitate both recurring and one-off payments, alleviating the burdens of follow-ups, stress, and high fees. Our AI-driven solutions enhance payment success rates and minimize fraud risks. Additionally, our open banking integration with over 2,500 banks enables our customers to make faster and more informed financial decisions.Headquartered in the UK, with offices in London and Leeds, we also have a presence in Australia, France, Ireland, Latvia, Portugal, and the United States.At GoCardless, we prioritize support and are dedicated to making our hiring process inclusive and accessible. If you require any adjustments or additional support, please reach out to your Talent Partner — we are here to assist you!Remember, we do not expect you to meet every single requirement. If you are enthusiastic about this role, we encourage you to apply!The RoleData is at the heart of our mission. We utilize bank account information to deliver intelligent payment solutions, enhancing payment success rates and preventing payer fraud.As a Senior Data Scientist in our Payment Intelligence team, you will collaborate with Software Engineers, Product Managers, and Designers to transform innovative concepts into reality. You will be responsible for the complete lifecycle of our algorithms, from the initial idea to the production-ready code that drives our global payment network.Our tech stack is centered around Google Cloud Platform and Vertex AI, creating a high-performance environment for innovation. Our Data Scientists work at the intersection of Python, SQL, and BigQuery to develop and deploy high-performance models at scale.Key ResponsibilitiesLead the comprehensive delivery of models at scale, from initial discovery and feature engineering to production, A/B testing, and ongoing monitoring.Collaborate with cross-functional teams to design and implement advanced data-driven solutions.

Join DeepL as a Senior Data ScientistDeepL is a pioneering AI product and research organization dedicated to crafting secure, intelligent solutions to tackle complex business challenges. With a clientele of over 200,000 businesses and millions of users in 228 global markets, our Language AI platform is relied upon for its human-like translations, enhanced writing capabilities, and real-time voice translation.Founded in 2017 by CEO Jarek Kutylowski, DeepL now boasts a talented team of over 1,000 individuals and backing from esteemed investors like Benchmark, IVP, and Index Ventures. Our mission is to lead the global AI technology space by developing products that enhance communication, foster connections, and make a significant impact on society. We seek passionate professionals ready to innovate and grow their careers in a dynamic and purpose-driven environment.What Makes DeepL UniqueAt DeepL, we blend cutting-edge AI technology with meaningful work in a culture that champions individual growth. Our team of innovators, researchers, and creators shares a vision to unlock human potential by making work more efficient, smarter, and interconnected.Our employees frequently express positive sentiments about their experiences at DeepL, attributing it to our impactful technology and the values of trust, curiosity, and care that permeate our culture.Joining DeepL means becoming part of a dedicated team committed to innovation, growth, and employee well-being. Explore more about life at DeepL on our LinkedIn, Instagram, and Blog.

Join our dynamic team at Intercom as a Senior Data Scientist, where you will leverage your analytical expertise to drive data-driven decisions and contribute to our innovative product development. In this role, you will collaborate with cross-functional teams to build models that enhance user experiences and optimize our services.

Business Unit: Customer Science - Our mission is to empower brands with deep insights into their customer base, enabling personalized experiences.Team: AnalyticsReporting to: Head of AnalyticsLocation: London/Hybrid – Minimum of 2 days in the officeABOUT GAIN:GAIN is a pioneering, insight-driven organization that harmonizes data, technology, and creativity. We are convinced that the most innovative ideas arise from the synergy between intelligence and imagination, where insight inspires creativity and innovation leads to tangible progress.As a forward-thinking company, we navigate uncharted territories to develop audacious strategies that propel individuals, brands, and organizations toward success. Our expert teams work collaboratively to deliver vision, data, and confidence, enabling brands to make bold, impactful decisions.Under the GAIN name, we unite to harness data in service of creativity and use technology to unveil new opportunities. As 'imagineers', we don’t merely adapt to innovation – we drive it, converting information into actionable insights and concepts into breakthroughs.This is the realm where bold thinking, intelligent technology, and data-driven creativity forge the future. Through our five specialized teams: Creative Studio, Conversion, Customer Science, Experience, and Performance, we collectively fuel growth and deliver measurable impact.THE ROLE:The Analytics Team is dedicated to delivering insightful, actionable analysis that fulfills our clients’ objectives promptly. This position will support the Head of Analytics and Chief Data Scientist in developing innovative solutions and models tailored to client needs. The successful candidate will be instrumental in shaping the R&D branch of the team.

Join ravio as a Senior Data Scientist and lead innovative projects to harness the potential of big data. You will work closely with cross-functional teams to extract valuable insights, develop predictive models, and enhance data-driven decision-making processes. This role offers an exciting opportunity to impact our data strategy and drive meaningful change.

Join Entain, a global leader in sports betting and gaming entertainment, as a Senior Data Scientist. In this pivotal role, you will leverage cutting-edge analytics and machine learning techniques to drive data-driven decisions that enhance our customer experience and optimize business operations.Your expertise will be critical in developing predictive models, conducting complex data analyses, and collaborating with cross-functional teams to implement data strategies that support our ambitious growth objectives.

Why Join Faculty?Founded in 2014, Faculty has established itself as a leader in harnessing the transformative power of AI, collaborating with over 350 global clients to enhance their performance through human-centric AI solutions. Discover our real-world impact here.We prioritize innovation over hype cycles, focusing on deploying responsible AI that genuinely makes a difference. Our extensive technical, product, and implementation expertise serves clients across diverse sectors including government, finance, retail, energy, life sciences, and defense.As our business continues to grow rapidly, we seek individuals who share our intellectual curiosity and commitment to leveraging technology for a positive legacy.Join us in shaping the future of AI—empower yourself to explore its most impactful applications and bring them to life.About Our TeamThe Faculty Frontier TM product embodies our ambitious vision to create an enterprise-grade platform that integrates decision intelligence with AI Agents, optimizing critical processes for large-scale organizations. You will tackle complex, high-stakes challenges, particularly in healthcare and life sciences.About This RoleAs the Lead Data Scientist, you will define the technical direction of our flagship Frontier product. Leading project teams, you will design and develop custom computational twins—AI-powered digital twins that revolutionize client decision-making. This position requires a strong technical vision in data science, fostering direct client partnerships, and mentoring emerging data science talent. Seize this pivotal opportunity to spearhead innovative, high-impact AI implementations.Your Responsibilities:Direct the technical execution of Frontier deployments, from initial discovery to production integration of computational twins.Oversee the comprehensive data science strategy, including the design and application of optimal methodologies ranging from exploratory data analysis to deep learning.Collaborate with the commercial team to ensure alignment on project objectives and client expectations.

Why Join Faculty?Founded in 2014, Faculty is at the forefront of artificial intelligence, believing it to be the defining technology of our era. With a proven track record, we have partnered with over 350 global clients to enhance their performance through human-centric AI solutions. Discover our impact here.We prioritize genuine innovation over fleeting trends. Our commitment to responsible AI enables us to deliver solutions that drive significant results. Our extensive expertise spans across various sectors, including government, finance, retail, energy, life sciences, and defense.As our business continues to expand rapidly, we seek individuals who possess intellectual curiosity and a passion for leveraging technology to create a lasting positive impact.Join us in harnessing the power of AI to redefine its applications and make a tangible difference.About Our TeamThe Frontier TM product represents our bold ambition to create an enterprise-grade platform that integrates decision intelligence and AI Agents, optimizing critical processes in large organizations. You will tackle complex challenges within the real economy, focusing especially on healthcare and life sciences.Your RoleAs a Senior Data Scientist on the Frontier team, you will shape the future of our Decision Intelligence Platform by developing AI-powered digital twins that enhance organizational decision-making. This entrepreneurial role involves solving intricate problems while enabling enterprise users to leverage state-of-the-art AI technologies. You will combine scientific rigor with a business-oriented mindset to advance our AI Agent and Decision Hub capabilities.Key Responsibilities:Designing and Building: Create agents for high-stakes environments, ensuring that outputs meet rigorous validation standards.Data Analysis: Conduct exploratory data analysis, model development, validation, and performance monitoring.Leadership: Guide data science initiatives within cross-functional delivery teams, collaborating with engineers, designers, and business stakeholders.

Why Join Faculty?Founded in 2014, Faculty believes that AI is the defining technology of our era. We have successfully partnered with over 350 global clients to enhance performance through human-centric AI solutions. Discover our real-world impact here.We prioritize innovation over hype, focusing on creating and implementing responsible AI that truly makes a difference. Our extensive expertise spans various sectors, including government, finance, retail, energy, life sciences, and defense.As our business and reputation continue to expand rapidly, we are eager to recruit individuals who are intellectually curious and passionate about building a positive legacy through technology.Join us in leveraging AI’s transformative power to revolutionize decision-making processes in critical fields.About the TeamThe Faculty Frontier™ product represents our ambitious goal of developing the first enterprise-grade platform that integrates decision intelligence with AI agents to optimize key processes in large organizations. You will tackle complex challenges with a focus on healthcare and life sciences.Role OverviewAs a Senior Data Scientist, you will play a pivotal role in shaping our Frontier Decision Intelligence Platform. You will lead the design and implementation of AI-powered digital twins that redefine organizational decision-making. Working within cross-functional teams, you will blend technical prowess with commercial insight to address intricate customer challenges. This is also an opportunity to mentor emerging talent while delivering impactful, production-grade AI solutions in a dynamic and entrepreneurial setting.

Role Overview Deliveroo is looking for a Senior Data Scientist to join the team in London at The River Building HQ. This role focuses on using data analytics to guide decisions and improve our platforms. The work directly supports how we shape the future of food delivery. What You Will Do Work alongside cross-functional teams to develop predictive models Analyze large datasets to find insights that inform business strategy Translate complex data into clear, actionable recommendations Location This position is based in London at The River Building HQ.

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is the defining technology of our era. With over 350 global clients, we have successfully transformed performance through human-centric AI solutions. Explore our real-world impact here.We prioritize substance over hype. Our commitment lies in innovating, developing, and implementing responsible AI that genuinely makes a difference. Our expertise spans across various sectors, including government, finance, retail, energy, life sciences, and defense.As our business grows rapidly, we seek individuals who share our intellectual curiosity and aim to create a meaningful legacy through technology.Join us in harnessing the power of AI and realizing its most impactful applications.About the TeamThe Defence team is dedicated to creating and integrating human-centered AI solutions that enhance national security. We work closely with our clients to deliver ethical, reliable, and advanced AI solutions in critical situations, ensuring a balance of global power crucial for our freedom.Due to the sensitive nature of our work, candidates must be eligible for UK Security Clearance (SC) and should be prepared to work onsite with clients 2 to 4 days a week, which may involve travel across the UK. When not on client sites, you can choose to work from our London office or remotely within the UK.About the RoleAs a Senior Data Scientist, you will spearhead high-impact AI initiatives and guide the technical direction of customized solutions. This position demands both hands-on technical proficiency and strong leadership skills. You will establish data science methodologies, design resilient software architectures, mentor junior team members, and ensure robust project delivery while fostering deep client relationships and reinforcing our standing as a leader in practical, impactful AI.Your Responsibilities Include:Mapping the end-to-end data science approach...

Join Ekimetrics as a Senior Data Scientist specializing in Marketing Effectiveness Ekimetrics is at the forefront of Marketing Effectiveness and AI-driven solutions. Since our inception in 2006, we have empowered businesses to enhance their marketing strategies and operational efficiencies by seamlessly integrating AI with deep industry expertise across four key domains: Marketing Effectiveness, Customer Analytics, Operational Excellence, and ESG & Sustainability. With our robust in-house talent and global presence, including offices in Paris, London, New York, Hong Kong, and Shanghai, we create tailor-made solutions that transform data into meaningful impacts, utilizing our distinct blend of technology and services. We are dedicated to harnessing AI's potential to address pressing global challenges. Our commitment to responsible AI practices, systematic impact at scale, and adherence to our core values is unwavering. Your RoleAs a Senior Data Scientist focusing on Marketing Effectiveness, you will spearhead the execution of impactful Marketing Mix Modeling (MMM) projects for our diverse international clientele, spanning the Automotive, Beauty, Retail, and Financial Services sectors. You will lead small teams, manage comprehensive project lifecycles, and ensure the delivery of actionable insights to our clients.Responsibilities:Oversee the complete MMM and marketing effectiveness initiatives for global clients, encompassing data strategy, collection, modeling, insights, and implementation.Employ econometric techniques, regression analysis, Bayesian statistics, and machine learning methodologies to interpret marketing and customer data.Collaborate with project managers to define project scopes, analytical methods, operations management, and ensure timely deliverables.Create dashboards and visualization tools to present actionable insights, utilizing proprietary Ekimetrics frameworks and best practices.Convey complex analytical findings into clear, business-oriented recommendations for senior stakeholders and executive clients.Assist clients in optimizing their marketing spend, comprehending campaign performance, enhancing customer segmentation, and maximizing return on investment (ROI).

Join our dynamic team at Intercom as a Senior Data Scientist specializing in Product Analytics. In this role, you will leverage data to drive meaningful insights that enhance user experience and product development. You will work closely with cross-functional teams to analyze trends, build predictive models, and develop metrics that inform strategic decisions.

Intercom is a pioneering AI Customer Service company dedicated to enhancing the customer experience for businesses worldwide.Our flagship AI agent, Fin, represents the pinnacle of customer service AI technology. It empowers businesses to offer seamless, 24/7 customer service, significantly improving their customer engagement. When integrated with our Helpdesk, Fin evolves into the Intercom Customer Service Suite, providing AI-augmented support for complex inquiries that necessitate human intervention.Since our establishment in 2011, we have earned the trust of nearly 30,000 businesses globally, setting the benchmark for unparalleled customer service. Our core values drive us to innovate, act with speed and intensity, and deliver exceptional value to our clients.What is the opportunity?Join our Research, Analytics & Data Science (RAD) team, where we transform insights into actionable strategies. We analyze customer, product, and business data, translating them into tools that integrate seamlessly into go-to-market (GTM) workflows.The advent of AI has ushered in a new era of internal tools for our GTM teams. We are progressing from traditional dashboards to sophisticated workflows powered by large language models (LLMs) and AI agents that are capable of autonomously conducting account research, summarizing previous interactions, drafting tailored outreach, identifying renewal risks, and generating reports, thereby allowing Sales and Success teams to concentrate on high-impact conversations.The RAD team collaborates closely with GTM Systems to identify challenges, devise solutions, and evaluate their impact from prototype through to production.This role demands a high level of ownership from someone who thrives in uncertain environments, is passionate about solving intricate real-world challenges, and gains satisfaction from seeing their contributions lead to measurable business results.What will I be doing?Design, evaluate, and deploy AI-powered internal tools for GTM applications, including account research and summaries, recommendations for next steps, renewal likelihood assessments, pipeline risk identification, and post-call follow-ups.Manage the entire lifecycle: Take ownership from problem identification and data modeling to the development of production-ready tools, including creating Python backends and React frontends.Rapid prototyping and deployment: Collaborate with users to build quickly, then iterate and enhance for maximum impact.Measure for success: Define success metrics based on actual usage and quantifiable business outcomes.

Are you a passionate data scientist looking to make a significant impact in a dynamic environment? Join Marshmallow as a Staff Data Scientist and leverage your expertise to drive innovative data solutions. In this role, you will work closely with cross-functional teams to analyze complex datasets, develop predictive models, and provide actionable insights that enhance our product offerings.