Staff Data Scientist – Experimentation: Innovation & Research

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.

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.

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.

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.

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.

About WheelyWheely is revolutionizing premium transportation across major cities in Europe, the US, and the Middle East. We integrate state-of-the-art technology with the art of five-star chauffeuring to provide an experience trusted by over 100,000 active riders and 1,200 corporate accounts.As a profitable and rapidly growing scale-up with $43 million raised and over $100 million in annual revenue, we have recently launched in New York City and are swiftly expanding throughout the US and EMEA. If you take pride in your expertise and wish to help shape the next phase of our growth, we invite you to connect with us.We are seeking Associate Data Scientists with a foundation in Operations Research. You will oversee the entire process—from ideation and research to production deployment.You will be part of either our Pricing or Matching team, collaborating with fellow Data Scientists and engineers to tackle challenging, high-stakes problems such as dynamic pricing and bipartite matching.

Why Choose PlayStation?At PlayStation, we pride ourselves on being the premier destination for gaming enthusiasts, as well as a top-tier workplace. Our commitment to innovation has positioned us as a global leader in the entertainment industry, delivering exceptional products and services, including the PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, and a suite of award-winning titles from PlayStation Studios.We are dedicated to cultivating an inclusive work environment that celebrates diversity and empowers our employees. If you have a passion for technology, innovation, and play, we invite you to explore our exciting job openings and join our expanding global team.The PlayStation brand operates under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.As the Data Science Manager, you will spearhead a talented team focused on experimentation and causal inference, playing a pivotal role in shaping data-driven decision-making and product innovation at SIE. This leadership position marries technical expertise with managerial responsibilities. You will spearhead advanced research in experimentation methodologies while mentoring and supporting a team of skilled data scientists. Your leadership will elevate our experimentation strategy, instill a culture of curiosity and rigor, and empower cross-functional teams to deliver player-centric experiences backed by robust, evidence-based insights.

We invite innovative minds to apply for the role of Research Scientist at our Artist-First AI Music Lab. Our team is at the forefront of developing cutting-edge generative technologies in music, crafting exceptional experiences that resonate with both artists and fans. We aim to redefine the listening experience, prioritizing the voices of artists and creatives in every product we create. Our guiding principles focus on:Collaborative Partnerships: We believe in establishing transparent agreements with record labels, distributors, and music publishers to foster new innovations for artists and fans alike.Empowered Participation: Understanding the diverse perspectives within the artistic community, we offer artists and rights holders the choice to engage with generative tools in alignment with their values.Fair Compensation and New Revenue Streams: Our commitment lies in developing products that generate novel revenue opportunities for rights holders, artists, and songwriters, ensuring they receive fair compensation for their contributions.Strengthening Artist-Fan Relationships: Our AI innovations aim to enhance, not replace, human creativity, providing artists new avenues for expression and connection with their audiences. With over 700 million music listeners each month, we strive to deepen these vital connections.Discover more about our vision in this press release.

Join InstaDeep as a Research Scientist where you will drive innovation in decision-making AI. Collaborate with leading experts to develop cutting-edge machine-learning models, conduct impactful experiments, and contribute to groundbreaking research in computational biology. Your insights will help expand our scientific knowledge and support our partnerships with global leaders like BioNTech SE and Google DeepMind.

physicsx seeks a Principal Research Scientist based in London, United Kingdom. This position centers on guiding research projects that introduce new concepts and methods in physics. The work plays a key part in supporting the company’s mission to drive technological advancement through scientific discovery. Role overview As Principal Research Scientist, the main responsibility is to lead innovative research efforts. Projects will focus on developing and testing original approaches within the field of physics. The results of this research are intended to contribute directly to the company’s ongoing progress in technology. What you will do Lead and manage research projects from concept to completion Develop new ideas and experimental approaches in physics Ensure research aligns with the company’s goals for scientific and technological progress Location This role is based in London, United Kingdom.

aisi seeks a Research Engineer or Research Scientist to focus on Model Transparency in London, UK. The position involves research aimed at making AI models more understandable and accountable. The goal is to clarify complex behaviors within these systems and help build trust in their outcomes. Key responsibilities Research new ways to improve the interpretability of AI models Create methods and tools that help explain how models make decisions Tackle challenges in understanding and communicating model behavior Contribute to initiatives that support greater accountability in AI Location This role is based in London, UK.

Role overview physicsx is seeking a Research Scientist based in London, United Kingdom. The position centers on advancing scientific research and contributing to projects that push the boundaries of physics and technology. The team brings together scientists and engineers who collaborate to tackle challenging technical problems. What you will do Use scientific research methods to develop new concepts and solutions Collaborate with colleagues from a range of technical backgrounds Support projects that investigate emerging areas in physics and technology

At Spotify, we're revolutionizing the way our 600 million listeners across 180 global markets engage with music, podcasts, and audiobooks. Our Personalization team plays a pivotal role in delivering tailored experiences that not only meet user expectations but also encourage exploration of new content. We are on the lookout for a talented Research Scientist specializing in machine learning to help us elevate our personalization strategies to new heights.As a key member of our dynamic research team, you will engage in groundbreaking research, development, and integration of innovative generative AI technologies into our search and recommendation systems. Your work will contribute to creating interactive experiences that redefine user engagement with our platform.Join us in an interdisciplinary environment focused on maintaining and advancing the technological frontiers of Spotify. By publishing your findings, you will not only enhance our internal practices but also contribute to the broader research community. Our team enjoys strong collaborations with both internal product groups and external research entities.Key Expertise Areas: Information Retrieval, Recommendation Systems, Language Technologies, Foundational Models, Generative AI Technologies, and Machine Learning.

At Google DeepMind, we celebrate the rich diversity of experiences, knowledge, backgrounds, and perspectives that contribute to our mission of creating extraordinary impact. We are dedicated to providing equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital status, sexual orientation, gender identity, pregnancy, or any other legally protected status. If you require accommodation due to a disability or additional need, please let us know.About UsArtificial Intelligence stands as one of humanity’s most transformative inventions. At Google DeepMind, our team of scientists, engineers, and machine learning experts work collaboratively to push the boundaries of AI technology. We harness our innovations for the greater good and scientific progress, prioritizing safety and ethics in every endeavor.SnapshotWe are in search of talented engineers and scientists to help propel our research in Artificial Intelligence as part of our mission to develop the next generation of Generative AI technologies. Our team is uniquely positioned to work on speculative, long-term projects that, when successful, yield significant advancements in the capabilities of our frontier models. We are committed to exploring paradigm-shifting concepts and investing the necessary time and resources to realize them. Our aim is to ideate, research, develop, validate, and incorporate these advancements into major Google technologies.Our primary research focus is on Gemini Diffusion, our cutting-edge text diffusion model, which we believe has the potential to unlock a new era in generative AI, delivering unmatched capabilities with rapid latency. Backed by GDM leadership, our team is devoted to thoroughly investigating and advancing this groundbreaking technology.We are a multi-disciplinary group of engineers and scientists who collaborate closely, leveraging our diverse skills with a strong emphasis on developing and deploying innovative AI solutions. Our problem-focused ethos drives our interest in any tool or idea that can effectively address real-world challenges.

At Google DeepMind, we prioritize diversity in experience, knowledge, backgrounds, and perspectives, leveraging these attributes to create remarkable impact. We are dedicated to providing equal employment opportunities regardless of sex, race, religion, belief, ethnic or national origin, disability, age, citizenship, marital status, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or any other condition protected by applicable law. If you have a disability or additional needs that require accommodation, please feel free to reach out to us.SnapshotWe seek talented Research Scientists to advance fundamental research and technology in Artificial Intelligence, as part of our interdisciplinary and collaborative Reinforcement Learning team.About UsDeepMind’s RL team is a cohesive and collaborative group of scientists and engineers, led by Tom Schaul. We address large-scale research challenges in reinforcement learning, designing, refining, and scaling RL algorithms to yield significant scientific and product impact. Over the past decade, our RL team has been pivotal in developing innovations such as DQN, AlphaGo, Rainbow, AlphaZero, MuZero, AlphaStar, AlphaProof, and Gemini. Join us in creating the next groundbreaking advancement!The RoleAs a Research Scientist, you will leverage your machine learning expertise and technical skills to innovate, spearhead research projects, and apply findings to impactful challenges. You will be responsible for implementing code, conducting experiments, owning results from start to finish, communicating findings effectively, and collaborating with fellow team members to empower others.Your work may involve:Initiating and pursuing novel research directions by proposing and testing hypotheses.Implementing algorithmic ideas and executing comprehensive experiments, including setup, execution, analysis, and iteration.Sharing your expertise and insights with other researchers.Building or enhancing infrastructure to support scalable research.Designing evaluations and ablations that address real questions and influence perspectives.Meticulously analyzing results, including debugging and failure analysis.Effectively communicating through visualizations, write-ups, and publication-ready narratives and figures.Contributing to a culture of first-principles thinking, high standards, and constructive feedback.Our projects encompass a broad spectrum of state-of-the-art machine learning and AI domains, including large language models, distributed machine learning, and more.

Role overview relay is seeking a Senior Operational Research Scientist to focus on last-mile logistics. This hybrid position is based in London and centers on using operational research and data analytics to improve delivery outcomes. What you will do Develop and implement advanced algorithms and models to address complex challenges in last-mile delivery. Collaborate with cross-functional teams to support data-driven decision making. Analyze operational data and deliver insights aimed at increasing efficiency and customer satisfaction. About relay relay specializes in optimizing delivery processes and is dedicated to using data and research to enhance operational performance.

Join Wise as a Staff Data Scientist specializing in Fraud Analysis. As a pivotal member of our team, you will leverage data to develop innovative solutions that combat fraud, ensuring the security and trust of our financial services. This role involves analyzing vast datasets, creating predictive models, and collaborating with cross-functional teams to implement effective fraud prevention strategies.

Application Deadline: We are actively conducting interviews and aim to onboard the right candidate promptly.ABOUT THE ROLEAt Apollo Research, we are embarking on an ambitious journey to establish a groundbreaking field known as the “Science of Scheming.” We are seeking passionate Research Scientists and Engineers eager to contribute to the creation of a new hard science from the ground up.YOUR RESPONSIBILITIES- Collaborate with leading AI innovators. Our partnerships with various labs provide access to an extensive range of models that no single AI lab can offer. Your contributions will significantly influence the development and deployment of advanced AI systems.- Conduct in-depth studies of reinforcement learning dynamics that drive the emergence of reward-seeking behaviors, evaluation awareness, and misaligned preferences. Design and train model organisms, scaling insights to cutting-edge systems.- Explore the “Scaling Laws of Scheming.” Establish empirical foundations to forecast how scheming risks evolve as models increase in capability.- Innovate evaluation techniques that can potentially scale to highly evaluation-aware models.- Investigate AI cognition. Uncover unique patterns in the reasoning processes of advanced AI systems that have yet to be documented.Note: This position does not focus on interpretability roles.KEY REQUIREMENTSWe seek a diverse set of skills to advance our research agenda. We do not expect any single candidate to meet all the criteria listed below. However, a successful candidate will likely excel in one or several of the following areas:- Fast-paced empirical research: Ability to design and execute experiments with a focus on accelerating iteration cycles.

About Us:At IOG, we are a pioneering technology firm dedicated to exploring and advancing blockchain through rigorous research and development. Our commitment to a scientific methodology in blockchain creation is augmented by our emphasis on peer-reviewed studies and formal methods to guarantee security, scalability, and sustainability.Our innovative projects encompass the Cardano blockchain and extend into various products related to decentralized finance (DeFi), governance, and identity management, all aimed at enhancing the potential and global adoption of blockchain and Web3 technologies.Role Overview:As a Research and Innovation Grants Specialist, you will spearhead the complete lifecycle of grants for foundational blockchain R&D. This includes formal methods, security and scalability, DeFi, governance, and digital identity, as well as their practical applications in innovative projects across various industry sectors. Your responsibilities will encompass identifying and qualifying funding opportunities, developing a robust 12-24 month funding pipeline, formulating bid strategies, composing high-quality applications that align with funder objectives, and overseeing post-award budgets, deliverables, reporting, and compliance. You will coordinate inputs from research, finance, legal, and partnerships while collaborating closely with academic and industry partners to secure ongoing investment that positions our research teams at the forefront of innovation. Success will be measured by increased grant achievements and overall award values, a diversified funding mix, higher proposal win rates, expedited submission processes, timely and compliant reporting, and the creation of reusable bid assets/templates that enhance our quality and consistency in submissions.Key Responsibilities:Grant Scanning & Pipeline Development:Continuously monitor and evaluate funding opportunities from sources such as Horizon Europe, Innovate UK (IUK), National Science Foundation (NSF), and various international programs.Construct and maintain a proactive pipeline of applicable calls in alignment with IOG’s research, innovation, and venture objectives in blockchain and related areas.Grant Application Development:Lead the creation of high-quality grant proposals, encompassing the drafting of technical components, project plans, budgets, and impact narratives.Coordinate contributions from researchers, engineers, and external partners to ensure that applications are comprehensive, precise, and persuasive.Oversee timelines and submission processes for multiple applications concurrently.Project & Partnership Support:Engage with academic institutions, research consortia, and industry collaborators to co-create joint applications.Facilitate the establishment of new partnerships to enhance the competitiveness of our bids.Ensure clear communication and alignment between stakeholders throughout the grant application process.

HeartFlow Inc. is at the forefront of medical technology, revolutionizing the diagnosis and management of coronary artery disease—the leading cause of death globally. Utilizing advanced technology, our flagship product, the HeartFlow FFRCT Analysis, is an AI-driven, non-invasive cardiac test endorsed by the ACC/AHA Chest Pain Guidelines. This innovative solution generates a color-coded, 3D model of a patient's coronary arteries, highlighting the impact of blockages on blood flow to the heart. HeartFlow stands out as the first AI-driven non-invasive integrated heart care solution throughout the CCTA pathway, enabling clinicians to identify stenoses (RoadMap™ Analysis), assess coronary blood flow (FFRCT Analysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis). Our expanding pipeline of products and team are dedicated to transforming the landscape of precision heart care.As a publicly traded company (HTFL), HeartFlow has garnered international acclaim for its groundbreaking contributions to healthcare innovation. We are supported by medical societies worldwide and have received clearances for use in the US, UK, Europe, Japan, and Canada, serving over 500,000 patients globally.We invite you to join HeartFlow's distinguished Research team as a Collaborating Research Scientist, with a joint visiting researcher appointment in Professor Ben Glocker’s lab at Imperial College London. This role centers on the advancement of state-of-the-art Generative AI technologies for Coronary Computed Tomography Angiography (CCTA). You will engage in pioneering academic research, produce intellectual property, and contribute to high-impact publications, ensuring that technical innovations are effectively translated into product-grade models at HeartFlow.At Imperial College, you will become an integral member of one of the world’s premier medical imaging laboratories, participating in seminars, collaborating with leading academics, and immersing yourself in the dynamic ecosystem of South Kensington.At HeartFlow, you will play a crucial role in shaping our research roadmap, gaining access to extensive proprietary datasets not available in purely academic settings, and translating your findings into medical devices with a global impact.Key Responsibilities:Design and implement cutting-edge generative architectures to synthesize high-fidelity, anatomically accurate CCTA image data.Publish and present findings at prestigious conferences (e.g., MICCAI, ICCV, CVPR, NeurIPS).Provide technical reports and reproducible code to facilitate the transition of research into products by Research team members and development teams.Identify and protect new intellectual property for HeartFlow in emerging AI domains.