Forward Deployed Data Scientist at Braze | Paris

At Braze, we are proud to have cultivated a team that embodies approachability, kindness, and a deep passion for what we do.We believe in empowering our team by establishing high standards, fostering collaboration, and promoting work-life balance as we navigate rapid global growth while striving for greater equity and opportunity within and beyond our organization.To succeed in this environment, you must hold yourself and your colleagues to high expectations. There is always an opportunity to contribute: Acting autonomously, embracing accountability, and being open to diverse perspectives are crucial to our ongoing success.Our insatiable curiosity and eagerness to share a variety of passions enrich our culture with a unique vibrancy.If you are driven to tackle exciting challenges and prefer to take action in dynamic environments, you will be empowered to make a significant impact here, supported by a sharp and enthusiastic team. If Braze resonates with you as a place to thrive, we look forward to meeting you.WHAT YOU'LL DOAs our customer base expands, driven by the excitement surrounding BrazeAI, we are growing our team! Join our Field Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration.Enhance product capabilities by refining architecture and developing reusable data pipelines, APIs, and components.Work closely with the RL pipeline development team to improve our reinforcement learning algorithms.Contribute to shaping Braze's product strategy and roadmap through customer-driven insights and technical expertise.Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success.

At Braze, we have cultivated a diverse and passionate team that champions collaboration and kindness. We believe in setting ambitious goals while ensuring work-life balance as we navigate our global growth, striving for equity and opportunity both within and outside our organization.To thrive in our environment, you should be ready to challenge yourself and contribute actively. Embracing autonomy, accountability, and open-mindedness are key to our ongoing success.Our insatiable curiosity and the willingness to share our diverse passions create a vibrant company culture that fosters innovation.If you are motivated to tackle exciting challenges and take proactive steps in a dynamic environment, you will find a supportive and driven team at Braze. We look forward to welcoming you!WHAT YOU'LL DOAs our customer base expands in response to the excitement surrounding BrazeAI, we are enhancing our Field Data Scientist team of innovative technical experts who collaborate with our clients to ensure their success. In this role, you will:Partner with customer Analytics/BI teams and Braze colleagues on various implementations, including use case definition, data integration, pipeline setup, and ML model configuration.Enhance product capabilities by optimizing architecture and developing reusable data pipelines, APIs, and components.Collaborate closely with the reinforcement learning pipeline development team to refine and advance our self-learning algorithms.Contribute valuable insights and technical expertise to help shape Braze's product strategy and roadmap.Provide continuous technical expertise to ensure the successful adoption of solutions, measurable outcomes, and lasting customer success.

About Our TeamAt OpenAI, our Forward Deployed Engineering (FDE) team collaborates closely with clients to transform groundbreaking research into scalable production systems. We thrive at the convergence of customer engagement and foundational platform development.About the PositionAs a Forward Deployed Engineer, you will spearhead intricate end-to-end implementations of state-of-the-art models in collaboration with our key strategic partners. Your responsibilities will encompass discovery, technical scoping, system architecture, development, and the production rollout, working directly with our customer engineering and domain experts.You will evaluate success through the adoption of production systems, quantifiable workflow improvements, and feedback-driven evaluations that influence our product and model strategies. Your role will involve close collaboration with our Product, Research, Partnerships, Governance, Risk & Compliance, Security, and Go-To-Market teams.This position is based in Paris, with a hybrid work model of three in-office days per week. We provide relocation assistance and require travel up to 50% of the time.Your ResponsibilitiesLead the technical execution of multiple deployments from initial prototypes to stable production environments.Develop comprehensive full-stack systems that deliver value to customers while enhancing our learning processes.Work closely with customer teams to understand their requirements and facilitate the adoption of your solutions.Define project scopes, sequence deliveries, and proactively eliminate obstacles.Balance trade-offs between project scope, speed, and quality; adapt plans to ensure timely delivery.Contribute directly to code development when clarity or progress is at stake.Document effective work patterns into tools, playbooks, or foundational elements for broader team use.Provide field insights that help Research and Product teams understand model performance and areas for enhancement.Ensure team momentum through clear communication and accountability.Ideal Candidate ProfilePossess over 5 years of engineering or technical deployment experience, particularly in customer-facing roles.Demonstrate experience in scoping and delivering complex systems in fast-paced or uncertain environments.Proficient in writing and reviewing production-grade code across both frontend and backend, utilizing Python, JavaScript, or similar languages.

About Our TeamAt OpenAI, our Forward Deployed Engineering team collaborates closely with clients to transform groundbreaking research into robust production systems. We operate at the nexus of customer engagement and core platform innovation.About the RoleWe are seeking passionate, customer-oriented software engineers to develop tailored software solutions utilizing OpenAI’s APIs to address real-world challenges faced by our clients. As a Forward Deployed Software Engineer (FDSWE), you will collaborate with customers and fellow engineers to architect and implement scalable solutions that tackle complex issues. You will create abstractions that resolve customer challenges, enhancing our capacity for high-speed, high-quality delivery across all Forward Deployed projects.In this role, you will work closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers on shared accounts, while also providing valuable feedback to our Research and Applied Product and Engineering teams.This position is based in Paris, following a hybrid work model of three days in the office each week. We offer relocation support and require travel up to 50% of the time.Your Responsibilities:Engage deeply with key customers to gain a thorough understanding of their business challenges and technical needs.Design, architect, and develop comprehensive full-stack solutions using a methodical, experiment-driven approach.Draft detailed scopes of work and project plans for both prototype proofs of concept and full production implementations.Act as a technical expert and trusted advisor, collaborating directly with customers' technical teams to ensure project success.Work alongside Product, Research, and Applied teams to facilitate seamless customer experiences and gather actionable product feedback.Contribute to our internal knowledge base by documenting best practices and insights from customer engagements to enhance the Forward Deployed Engineering function.Ideal Candidate Profile:At least 7 years of professional full-stack engineering experience (excluding internships), with a strong focus on customer-facing roles.Proficient in modern programming languages and frameworks, with a proven track record in developing scalable applications.Strong analytical and problem-solving skills, with the ability to communicate complex technical concepts clearly to non-technical stakeholders.Experience working in a hybrid team environment, balancing remote and in-office collaboration.A proactive and adaptable mindset, with a passion for leveraging technology to drive positive customer outcomes.

About AnthropicAt Anthropic, we are dedicated to developing AI systems that are not only reliable but also interpretable and steerable. Our goal is to ensure that AI technology remains safe and advantageous for our users and society. We are a rapidly expanding team of passionate researchers, engineers, policy specialists, and business leaders collaborating to create beneficial AI systems.As a member of Anthropic's Applied AI team, you will take on the role of a Forward Deployed Engineer (FDE) and engage directly with our most strategic clients to foster the adoption of transformative AI solutions. You will work closely with client teams to deliver advanced AI applications that address real-world business challenges. Our FDEs play a crucial role in accelerating the use of existing products and innovating new applications based on our cutting-edge models.Your work will involve close collaboration with our post-sales, product, and engineering teams, combining your engineering expertise with a deep understanding of advanced AI applications and customer interaction skills. You will analyze client workflows and develop innovative solutions to complex business challenges while upholding our high standards for safety and reliability.At the forefront of enterprise AI deployments, you will be one of the foundational FDEs shaping our forward-deployment initiative. We expect our FDEs to work autonomously, thrive in ambiguity, and represent Anthropic at the highest level within our clients' environments. This is a significant responsibility, as you will play a key role in advocating for our mission within the enterprise.

Join Nexton as a Data Scientist specializing in Dataiku and drive innovative data solutions for our clients in the banking and insurance sectors. In this role, you will leverage your analytical skills to extract insights and develop predictive models that enhance decision-making processes.

Our Mission:At Avisia, we engage in 100% data-driven projects that blend technical and operational dimensions. Depending on your profile and interests, you will have the chance to work on projects that tackle purely technical challenges or more business-oriented issues.Our clients span a range of diverse sectors including Luxury, Retail, Telecommunications, Banking, and Insurance. You will encounter a variety of data science themes in your projects.Here are some current project examples:Designing models to forecast sales generated on an e-commerce platform for a retailer. #ForecastingDeveloping and industrializing a recommendation engine aimed at optimizing conversion rates for website visitors. #RecommendationCreating an attrition score to identify slowly declining customers for a major retail company. #ChurnImplementing customer segmentation to enhance marketing and sales actions for a brand (targeting, retention, based on channel preferences). #CustomerSegmentation

Our Mission:At Avisia, we engage with our clients on 100% data-driven projects that merge technical and operational dimensions. Depending on your profile and interests, you will have the opportunity to work on projects addressing purely technical challenges or more business-oriented issues.Our clients span a variety of industries including Luxury, Retail, Telecom, Banking, and Insurance. The data science projects you may be involved in will also cover diverse topics.Current project examples include:Developing revenue forecasting models for an e-commerce retailer. #ForecastingCreating and industrializing a recommendation engine to enhance website visitor conversion rates. #RecommendationEstablishing an attrition score to identify slowly declining customers for a large retail chain. #ChurnImplementing customer segmentation to optimize marketing and sales actions based on channel contact preferences. #CustomerSegmentation

Our Mission:At Avisia, we engage with our clients on data-driven projects that seamlessly blend technical and operational dimensions. Depending on your profile and interests, you will have the opportunity to work on projects that address purely technical challenges or more business-oriented issues.Our clientele spans a wide array of industries including Luxury, Retail, Telecommunications, Banking, and Insurance. The data science missions you might be involved in are equally diverse.Here are a few current project examples: Designing revenue forecasting models for an e-commerce retailer. #ForecastingCreating and industrializing a recommendation engine aimed at optimizing visitor conversion rates on a website. #RecommendationDeveloping an attrition score to identify slowly declining customers for a major retailer. #ChurnImplementing customer segmentation to enhance marketing and sales strategies based on channel preferences. #CustomerSegmentation

Paris | Full-time | Fluent & As e-commerce continues to flourish, independent brands face challenges in matching the logistics efficiency of giants like Amazon. At Bigblue, we are dedicated to transforming this landscape.We empower brands by democratizing top-tier operations, enabling them to scale faster while providing a five-star customer experience.Since our inception in 2018, we have developed a tech-driven logistics platform that supports over 500 brands, ranging from dynamic DTC players to globally recognized names like MUJI, Aigle, and Cabaïa. With a growing team of 110+ employees across Paris, Madrid, and London, our proprietary Warehouse Management System (WMS) Atlas and our network of 7 warehouses throughout Europe allow us to tackle logistics challenges that others shy away from — making fulfillment faster, smarter, and more sustainable.Supported by over $20M in funding and trusted by the next generation of e-commerce leaders, we are rapidly expanding — aiming for 10 million orders in 2024 as we set our sights on ambitious enterprise growth. We seek a dedicated partner to help us navigate this bold journey ahead.The Role of Data at BigblueAt Bigblue, we are fundamentally data-driven. Data informs our decision-making processes at every level. Our unique position at the heart of our merchants’ operations, combined with our close connection to our fulfillment network, gives us access to vast amounts of fresh, real-time data. This data not only reveals how our merchants are performing but also highlights how we can support their growth. As our network expands geographically, we encounter new data challenges, prompting us to further increase our data team in 2025.Key ResponsibilitiesAddress Customer Data ChallengesAs an integral member of the data practice within the Bigblue product team, you will tackle crucial challenges for our business and our merchants. Your role will involve engaging in product development cycles, focusing on data-related issues while collaborating with designers, engineers, and stakeholders both within and outside of Bigblue. You will oversee the entire problem-solution-experimentation lifecycle, from building proof of concepts to rapidly launching features and experiments to achieve strategic objectives. Your solutions may include data analysis, algorithm development, and machine learning models.Potential projects may include:• Developing a reliable, real-time delivery ETA for buyers,• Enhancing our internal logistics algorithms to optimize specific operational facets...

Nūmi is an innovative bioproduction platform utilizing human mammary cells to create essential ingredients with scientifically validated health benefits throughout all stages of life. Specifically, we are the pioneering European cultivated breast milk company, focused on generating human milk components that closely align with optimal nutrition for infants! As a dynamic early-stage startup, we are on a mission to transform how we nourish the next generation. If you're looking to be part of a rapidly growing, venture capital-backed biotech startup, Nūmi could be your next great opportunity!Situated in the heart of Paris (Hôpital Cochin, Paris 14), Nūmi is supported by esteemed international investors, leading scientists, and prominent academic institutions.Our Culture & Values Positivity: We foster a positive environment at Nūmi, where our mission encourages passionate and energetic communication, always keeping our larger impact in focus. We celebrate small victories but remain committed to our ultimate goals.Excellence: At Nūmi, we define excellence through dedication and a continuous improvement mindset. We view challenges as opportunities to learn and strive for high-quality outcomes. Our growth is driven by effort, attention to detail, and integrity, both as individuals and as a team.Teamwork and Pedagogy: We believe that collaboration strengthens us at Nūmi. We promote knowledge sharing, constructive feedback, and mutual respect, ensuring that every team member contributes to our collective success.Ambition: We set bold goals and encourage expansive thinking at Nūmi. Driven by innovative ideas and determination, we aim high to create meaningful change.Why This Role MattersIn our work at Nūmi, the capacity to identify “golden” cell lines, batches, and conditions relies heavily on our ability to effectively collect, organize, and leverage our data, rather than merely increasing the volume of experiments.Currently, our experimental data encompasses:Electronic Lab Notebook (ELN) entriesSpreadsheetsBioreactor and equipment outputsAnalytical and Quality Control (QC) readoutsThis position is essential for transforming our fragmented data landscape into a cohesive, reliable, and actionable data layer that empowers R&D, informs scale-up decisions, and supports regulatory and industrialization initiatives.As a Lead Data Scientist, you will be a pivotal contributor to advancing scientific progress at Nūmi.Your ResponsibilitiesEstablish Nūmi’s Scientific Data InfrastructureOversee the development of scalable data models and ontologies that accurately reflect experimental workflows, metadata standards, and the scientific landscape.Facilitate the harmonization and integration of data across ELNs, spreadsheets, instruments, assays, and analytical systems into a centralized, user-friendly platform.

Role OverviewJoin our innovative team at Mistral in the heart of Paris as a Data Scientist. In this pivotal role, you will collaborate closely with product management, research, and engineering teams to analyze user behaviors, enhance product performance, and develop data-driven features aimed at advancing our cutting-edge AI product suite.We are looking for individuals who thrive in fast-paced, dynamic environments and enjoy solving complex problems. This is an exciting opportunity for those who wish to directly influence our product roadmap. The successful candidate will possess a robust background in data analysis, statistical modeling, and machine learning, with a track record of achieving exceptional results in high-pressure situations.If you're passionate about data, enthusiastic about AI, and ready to make a substantial impact on our data science strategy, we invite you to apply.Key Responsibilities• Define essential metrics, thoroughly assess the performance of our AI offerings, and pinpoint areas for enhancement.• Design and conduct experiments (A/B tests, causal inference) to validate hypotheses and inform product strategies.• Spearhead end-to-end data science projects, encompassing data collection, preprocessing, model development, evaluation, and deployment.• Assess model performance in both training and production environments, identifying edge cases and creating frameworks to gauge user satisfaction.• Collaborate with engineering teams to ensure the integrity and accessibility of data for analytics and machine learning applications.• Depending on your level of expertise, mentor colleagues and disseminate best practices in data science and analytics.Candidate ProfileEssential Qualifications:• A minimum of 2 years of professional experience as a Data Scientist.• A Master's or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.• Proficiency in Python and SQL.• A strong technical aptitude complemented by excellent communication skills.

About DoubleVerify and ScibidsDoubleVerify, in collaboration with Scibids, stands at the forefront of AI-driven digital campaign activation. Our innovative solutions empower brands worldwide to enhance ad performance, optimize outcomes, and streamline operational efficiency. Utilizing advanced technology that operates independently of digital identifiers like cookies, our platform integrates seamlessly with leading Demand-Side Platforms, including The Trade Desk, DV360, and Xandr. For more insights, visit our website.Scibids’ AI Optimization technology empowers trading desks with machine learning tools that leverage real-time performance data, enabling them to determine the optimal bidding strategies for each advertising opportunity. This approach results in significant performance enhancements for advertisers. Our Paris office is home to a talented team of over 30 Data Scientists working in tandem with DoubleVerify’s global engineering and data science teams.About the RoleThe mission of Scibids AI is to equip media buyers with automated buying strategies for display campaigns, achieving exceptional performance with minimal human intervention.As a Senior Data Scientist, you will play a pivotal role in refining and advancing the Scibids DoubleVerify bidding algorithms—the core intelligence of our platform. You will lead the enhancement of our automation framework, translating complex business challenges into scalable product improvements. This role demands a unique blend of statistical acumen and practical implementation skills.Your day-to-day responsibilities will include:Overseeing projects from inception through to production deployment and monitoring, ensuring accountability at every stage.Mentoring junior data scientists and developers, providing technical expertise, conducting code reviews, and sharing best practices to uphold high standards of code quality.Working with extensive datasets, handling billions of ad impressions each month and millions of variables.Tackling complex analytical challenges that cannot be solved with standard machine learning techniques.Addressing intricate scaling and engineering challenges as our operations expand.

Transforming the World Around UsPalantir develops the world's leading software for data-driven decision-making and operations. By providing the right data to those who need it, our platforms empower our partners to develop life-saving medications, predict supply chain disruptions, locate missing children, and more.Position OverviewAs a Forward Deployed Software Engineer (FDSE), you will work directly with government clients to identify their most critical challenges and create solutions that leverage their data. Our clients rely on Palantir's platforms for their most essential operations, often initiating projects with open-ended questions such as “Why are our flights frequently delayed?” or “How can we more effectively identify money laundering cases?”In your role as an FDSE, you will utilize your problem-solving abilities, creativity, and technical skills to help organizations maximize the value of their data, making a significant impact on the world. You will have the opportunity to gain rare insights and contribute to some of the most pivotal industries and institutions globally.Your responsibilities as an FDSE resemble those of a technical lead in a startup: you will collaborate in small teams with minimal supervision and be accountable for the end-to-end execution of high-stakes projects. Your day may involve discussing architecture with fellow engineers, managing large-scale data, coding custom web applications, engaging with the client's leadership team, or strategizing for your team.Whether you aspire to become an entrepreneur or a leader in engineering, we believe that Palantir is the ideal environment to cultivate these aspirations, surrounded by a supportive team. You will learn to dissect complex problems, understand the costs and implications of their solutions, and explore new technologies and programming languages, potentially developing them yourself. You will work independently and make decisions autonomously, all within a community that will challenge and support you throughout your journey and development.Our Principles• Impact: We undertake significant and ambitious projects that make the world a better place.• Responsibility: We manage our projects from inception to completion, ensuring accountability.

Join Roland Berger as a Data Scientist Intern and contribute to innovative projects that shape the future of business strategy. This internship offers a unique opportunity to apply your analytical skills in a dynamic environment, working alongside experienced professionals in the industry.

Join Shift Technology, a pioneering AI platform dedicated to revolutionizing the insurance industry. We harness generative, agentic, and predictive AI to enhance underwriting processes, optimize claims management, and mitigate fraud and risk, resulting in operational efficiency, superior customer experiences, and tangible business impact. Our solutions are trusted by leading insurers worldwide, delivering AI solutions that matter most at scale with proven effectiveness.Our culture is rooted in innovation, trust, and a commitment to transforming the insurance landscape through our cutting-edge SaaS platform. With team members from over 50 different countries and cultures, we are collectively shaping the future of insurance.Are you a recent graduate eager to embark on your first full-time Data Science career?As a Data Scientist at Shift, you will engage with a diverse array of projects, contributing significantly to the design and advancement of our product suite, particularly in fraud detection, anti-money laundering, and claims automation. Our team, comprised of experts in data science, data engineering, coding, and client engagement, is dedicated to delivering innovative solutions. You will work with various data types, including structured data, unstructured text, documents, and images.This role is an excellent opportunity for those seeking a permanent position; Shift is the perfect launchpad for your career!About the TeamAs part of our expansive Data Science team, which is the largest in the organization with over 200 Data Scientists globally, your contributions will be vital in enhancing and deploying our Fraud Detection solution.Our Data Scientists tackle a full lifecycle of projects, acquiring extensive technical and professional expertise across data science, engineering, coding, business acumen, and client relations.Your Responsibilities...Contribute actively to the insurance roadmap and collaborate with clients on diverse data types including structured data, free text, documents, and images.Implement data engineering processes, from client extract to data insertion in our storage solutions (SQL, ElasticSearch).Develop, test, and optimize models for tasks such as fraud detection and automation in complex environments.Automate critical business tasks by integrating them into our production framework using C#.

Join our team as a Data Scientist and play a key role in managing and optimizing Large Language Models (LLMs) for AI safety.About UsWhite Circle is a pioneering AI Safety company dedicated to enhancing the safety, reliability, and efficiency of AI systems. Our platform is built on policies—clear natural language rules that dictate the appropriate conduct of AI models. We automate the testing, enforcement, and continuous enhancement of these policies at scale.We have secured $11 million in funding from leading investors, including founders and senior leaders from OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others.Our operations handle over 100 million API calls each month.We specialize in fine-tuning and training our own LLMs, enabling them to operate faster and at a lower cost than any available model.As a compact and dedicated team, we offer an environment where you can tackle complex challenges, expedite your work into production, and substantially influence the development of AI safety.Your Role:Transform vast amounts of unstructured text into a structured and navigable format (including topics, clusters, segments, trends, and anomalies), moving from “unknown unknowns” to stable definitions for tracking.Develop scalable representation pipelines: including sampling strategies, preprocessing/normalization, embeddings at scale, indexing, and retrieval, making the corpus searchable and analyzable.Utilize LLMs in practical applications: implementing labeling/classification, weak supervision, data enrichment, summarization, and automated diagnostics of incoming volumes, with cost and quality controls in place.Provide actionable insights that inform decisions: convert your findings into product and operational strategies (identifying available data, gaps, quality issues, and prioritization).Create self-service analytics resources: develop datasets, data models, and user-friendly tools/dashboards to enable team members to explore and address inquiries independently.Collaborate closely with engineering and research teams: ensure alignment of pipelines with production constraints (including latency, cost, and privacy) and integrate outputs into existing workflows.You Will Thrive If You:Possess strong skills in Python and SQL, with an engineering mindset capable of building reliable pipelines rather than just notebooks.Have practical experience in applied NLP/ML on real-world text: including embeddings, clustering, and model training.

Join Gorgias as a Senior Data Scientist and contribute to the evolution of our data-driven decision-making processes. In this vital role, you will leverage your expertise to analyze complex datasets, derive actionable insights, and drive strategic initiatives that enhance our customer support solutions.Your ability to work collaboratively with cross-functional teams will be key in translating data into compelling narratives that guide business strategy. We are looking for a candidate with a passion for data science, a strong analytical mindset, and the ability to communicate findings effectively.

About ATCATC Driving Forward is a prominent global logistics and technical services provider specializing in data centers. With over four decades of experience, we have consistently ensured the safe and secure delivery of data centers across Europe, executing our services with precision and reliability. Our offerings include specialized IT transport, relocations, and comprehensive data center commissioning and decommissioning.As a member of the Arvato Group, we leverage the extensive strength, scale, and expertise of one of the world’s foremost supply chain and technology partners. What distinguishes us are our dedicated professionals. We prioritize training, development, and continuous enhancement while fostering long-term partnerships with our clients and teams throughout Europe.

Nexton seeks an Applied Scientist (H/F) to join the team in Paris. The position centers on applying scientific methods and advanced analytics to solve complex challenges and enhance products. Key responsibilities Collaborate with colleagues from various fields to address business objectives Use data science and machine learning techniques to develop models and algorithms Examine large and intricate data sets to inform important decisions Present insights that influence strategy and improve company processes Location This role is based in Paris.