Data Scientist | Machine Learning Engineer - Practice IA MARGO

Are you seeking to join an innovative team that embraces a continuous Test & Learn approach and truly empowers your ambitions? Look no further! At SFEIR, your career path is yours to navigate—whether it be vertical, horizontal, or cross-functional. Your PlaygroundTechnology Stack: Google Cloud Platform (including VertexAI, VertexAI Search, Cloud Run, Cloud Storage), Python, and ML libraries, along with RAG architecture.SFEIR AI: A dedicated program to master generative AI and agent-based coding.Community: Join a vibrant network of 140 Google Cloud certified professionals, 30 Google Authorized Trainers, and 7 Google Developer Experts. Your MissionsDesign and develop robust and scalable ML/AI solutions on GCP.Implement RAG architectures using Vertex AI Search and orchestrate Large Language Models (LLMs).Develop strategies for Prompt Engineering and model optimization.Establish pipelines for model evaluation and monitoring.Contribute to the AI transformation of our clients with innovative solutions. Your ProfileYou have a minimum of 5 years of experience in Data Science / Machine Learning.You possess proven professional experience with Google Cloud.You are passionate about your field: you engage in continuous learning and have personal projects. Why Join SFEIR?Every Sfeirian is paired with an Engineering Manager for support.Opportunities for growth into roles such as Senior Staff Engineer, Senior Principal Engineer, or Engineering Manager.Ongoing training access via Google Cloud Skills Boost and certifications.Participation in Google Cloud events.Be part of an active community with over 50 annual events. Your Sfeirian PackageChoice of equipment: MacBook Pro or Dell Precision.

About the Institute of Foundation ModelsWe are an innovative research laboratory dedicated to the development, understanding, and application of foundation models. Our mission is to propel research forward, cultivate the next generation of AI innovators, and contribute significantly to a knowledge-based economy.Joining our team means you will engage in the advanced training of state-of-the-art foundation models, collaborating with leading researchers, data scientists, and engineers. You will address some of the most pressing and transformative challenges in AI development, contributing to pioneering AI solutions with the potential to revolutionize entire industries. Your strategic and innovative problem-solving skills will be vital in positioning MBZUAI as a global leader in high-performance computing for deep learning, driving discoveries that will inspire future AI visionaries.The RoleAs a Research Scientist focusing on speech and audio machine learning, you will play a key role in designing and training cutting-edge end-to-end neural speech models. You will be tasked with developing crucial intellectual property, evolving beyond traditional ASR to TTS systems and creating native audio-to-audio multimodal architectures.

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.

Join our dynamic team at Gorgias as a Data Scientist specializing in Large Language Models (LLM). In this role, you will harness the power of data to drive insights and innovations, collaborating with cross-functional teams to enhance our products and services. Your expertise will be pivotal in analyzing complex datasets and developing predictive models that will shape the future of our technology.

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.

About VoodooEstablished in 2013, Voodoo is a pioneering tech company dedicated to developing engaging mobile games and applications that entertain millions globally. With a workforce of 800 talented individuals, we have achieved 7 billion downloads and boast over 200 million active users, making Voodoo the third-largest mobile publisher worldwide, trailing only Google and Meta. Our impressive portfolio features hit games such as Mob Control and Block Jam, along with popular applications like BeReal and Wizz.TeamThe Engineering & Data team is at the heart of crafting innovative technology products and platforms that fuel our incredible growth in gaming and consumer applications, ensuring Voodoo remains at the cutting edge of the mobile gaming landscape.Joining the Data team, you'll become part of the BI/Prediction squad, an autonomous group of approximately 10 experts, including top-tier product managers, software and data engineers, data scientists, and analysts.RoleOur mission is to supercharge the company's growth by providing on-demand predictive analytics for all Voodoo business units. This involves addressing vital needs such as forecasting campaign lifetime value (LTV) for user acquisition optimization, identifying the most effective monetization strategies for millions of players, and constructing confidence intervals for time series data predictions.We are seeking a passionate Senior Data Scientist with extensive experience in similar environments who can elevate our predictive capabilities. This role presents a unique opportunity to make a strategic impact on Voodoo’s overall success.This position is hybrid, requiring 3 days a week in our Paris office.Take ownership of our product modeling pipelines.Drive high modeling performance through innovative ideas and initiatives.Rapidly build and deploy scalable machine learning systems.Collaborate effectively across teams to harness new ideas and insights, demonstrating excellent communication with product managers, peers, and stakeholders.Conduct in-depth data analysis to uncover meaningful insights.Develop a comprehensive understanding of the mobile gaming sector, company strategy, and product alignment within daily operations.Mentor and lead a team of data scientists, fostering a culture of technical excellence and autonomy.Establish and uphold best practices in machine learning engineering, experimentation, and reproducibility across projects.Champion the integration of advanced analytical techniques to drive business insights.

nexton is looking for a Lead Data Engineer / Machine Learning Specialist to join its Paris team. This role centers on developing and refining data solutions that help achieve business objectives and improve daily operations. Key responsibilities Design and construct data pipelines for analytics and machine learning projects Enhance data flows to ensure reliability and efficiency Collaborate with teams throughout the company to align data efforts with strategic goals Use machine learning techniques to uncover insights and inform business decisions What to expect at nexton Projects at nexton rely on the intersection of data and technology to create measurable business results. The team values teamwork and practical approaches that deliver real impact.

About BlaBlaCarBlaBlaCar stands as the world's foremost community-driven travel application, connecting 27 million members annually for carpooling and bus journeys across 21 countries. Our diverse team of 800 employees hails from over 50 nationalities, operating from five global offices, with 30% working remotely.Your RoleWe are on the lookout for a motivated and dynamic Junior Data Scientist to join our Community Relations Team (CR Team). In this role, you will be instrumental in developing intelligent systems that empower our agents to provide exemplary support to our vast community of BlaBlaCar users. Your responsibilities will include:Innovate within the CR ecosystem: Craft and implement advanced machine learning models that enhance our processes, ensuring our members feel heard and receive timely support tailored to their needs.Boost trust and operational efficiency on the platform: Design smart automation solutions for real-time fraud detection, AI-driven content moderation, and utilize generative AI for seamless translations and customer support enhancement.Facilitate data-driven decision-making: Develop impactful data products and applications that yield actionable insights, directly contributing to BlaBlaCar's success.Lead the charge with generative AI: Investigate and apply innovative generative AI applications to improve internal efficiency, automate essential tasks, and democratize data access throughout the organization.Your ResponsibilitiesBuild and deploy ML models: Design, construct, and launch machine learning models into production, collaborating with fellow Data Scientists and ML Engineers to enhance our marketplace functionalities (e.g., matching, ETA).Automate internal functions: Develop smart solutions for real-time fraud detection, employ deep learning for profile image moderation, and leverage large language models for text moderation and generative AI tasks like translation.Contribute to generative AI advancements: Proactively identify, prototype, and implement generative AI solutions to boost employee productivity and automate critical operational workflows.Embrace growth: Be open to mentorship and learning, bringing enthusiasm and fresh perspectives to our team.Collaborate within a comprehensive data team: Engage with our autonomous data team to drive impactful outcomes.

Join Talan as a Data Scientist and take the next step in your career! We are looking for a passionate individual who loves to extract insights from data and is eager to tackle complex challenges. In this role, you will collaborate with cross-functional teams to develop innovative data-driven solutions that impact our business strategies. If you are enthusiastic about utilizing machine learning and statistical analysis to drive business decisions, we want to hear from you!

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

Join Back Market as a Senior Data Scientist in our AI Core team, where you will play a crucial role in shaping the future of technology in the refurbished electronics market. In this position, you will leverage your expertise in data science to develop innovative AI solutions that enhance our platform's capabilities and improve user experience.Your responsibilities will include analyzing complex datasets, building predictive models, and collaborating with cross-functional teams to drive data-driven decision-making. You will also have the opportunity to mentor junior data scientists and contribute to the overall growth of our data science capabilities.

Join Veepee as a Senior Data Scientist and play a pivotal role in enhancing our innovative recommender systems. Work with a talented team across Paris, Lyon, Barcelona, and Brussels to develop cutting-edge algorithms that deliver personalized sales recommendations to millions of users in real-time. Utilize large-scale behavioral and product data to create models that drive engagement and conversion, collaborating closely with ML and Data Engineers to bring your ideas to life.

The Applied AI team at Datadog is dedicated to designing and implementing algorithmically-driven features within our application. Our focus spans various applications, with a primary emphasis on analyzing real-time data streams for tasks such as anomaly detection, error outliers, and faulty deployment analysis. As a Senior Applied Scientist, you will be instrumental in developing models and algorithms that power machine learning features on the Datadog platform. Collaborating closely with our engineering and product teams, you will explore, build, scale, and deliver innovative features that we nurture within the Applied AI team.At Datadog, we value our workplace culture — the connections we build, the creativity we foster, and the collaborative spirit of working together. We embrace a hybrid work model that allows our employees to find a work-life balance that suits them best.

Join our innovative team at Winamax as a Senior Machine Learning / AI Engineer. You will play a pivotal role in developing and implementing machine learning models that drive our data analytics and enhance user experiences. If you are passionate about harnessing AI technologies and enjoy working in a dynamic environment, we invite you to apply!

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.

Join our dynamic Analytics Engineering team as a Senior Data Engineer - GCP/BigQuery at Doctolib, where you will play a crucial role in enhancing healthcare accessibility through data-driven insights.Your primary objective will be to develop innovative data products that facilitate informed decision-making across the organization. You will collaborate with a talented team to create robust data pipelines and solutions that support our AI strategy.At Doctolib, we pride ourselves on fostering a collaborative and agile environment, working closely with product, design, and business teams to build features that improve the everyday lives of healthcare professionals and patients.Your responsibilities will include:Designing and maintaining data pipelines using Python to align with Doctolib’s AI initiatives.Developing and managing data marts in BigQuery utilizing SQL/Jinja and DBT.Creating high-level reporting dashboards with Tableau.Engaging with stakeholders to grasp their data requirements and establish clear specifications.Ensuring data quality, security (GDPR compliance), and availability through diligent monitoring and optimization.About Our Tech Environment:Our infrastructure is fully cloud-native, facilitating web and mobile interfaces across various languages, tailored to meet specific healthcare and country requirements. We are modularizing our platform and operating it in a distributed architecture using reusable components.Our tech stack includes Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.We prioritize ethical AI integration across our products to empower both patients and healthcare professionals. Explore our AI vision here and learn about our inaugural AI hackathon here!Our data stack comprises Kafka/Debezium for data ingestion, Dagster/DBT for orchestration, GCS/BigQuery for data warehousing, and Metabase/Tableau for BI and reporting.

Voodoo is looking for a Senior Machine Learning Engineer in Paris to design and implement machine learning algorithms for mobile games. This position centers on building technology that enhances the gaming experience for millions of players. Key responsibilities Develop and deploy machine learning models specifically for mobile gaming applications Work closely with product and engineering teams to bring algorithms into live products Experiment with new methods to improve gameplay and increase user engagement Working at Voodoo Voodoo is recognized for its creative approach to mobile gaming and commitment to innovation. The company values practical solutions that make a real difference in game development and player satisfaction.

About UsAt MARGO, our consultants engage in what truly matters: complex projects that merge intellectual challenge with real business impact. We support leading players in finance, industry, and technology on their most strategic endeavors in Data Science, Machine Learning, and Artificial Intelligence.Why Join the AI Practice?You will be part of a team led by Hamza Bouanani, Practice Manager of AI at MARGO and Lead Data Scientist at BNP Paribas. Working alongside him means joining a passionate team of experts, being technically and methodologically challenged, and contributing to high-impact projects for our clients.Your ResponsibilitiesWe are currently seeking a Data Scientist for a prominent French industrial group. Your role will involve multiple projects:- Pricing Project* Scale price optimization* Estimating the impact of price variations and providing recommendations to maximize group sales and margins* Optimizing prices in line with business constraints through direct interaction with various departments* Participation in production implementation- Customer Segmentation Project* Enhancing data quality to optimize marketing campaign targeting* Developing simple, robust, and efficient classification and regression models- Recommendations* Defining and implementing targeted discounts to retain customers* Creating decision support tools for sales personnel, integrating recommendations on clients and products* Collaborating closely with departments to assess the impact and ROI of recommendations- Your role will also include:* Needs assessment and definition phase with end users* R&D phase: data analysis, testing, and development of effective models* Validation with departments and production implementation with data engineering teams* Monitoring and following up on models via Databricks dashboards.

Are you looking for an innovative team that continuously embraces a Test & Learn approach, empowering you to achieve your ambitions? Look no further! At SFEIR, your career path is in your hands, whether you aim for vertical, horizontal, or cross-functional growth. Your PlaygroundTechnology Stack: Modern Data Stack (Data Mesh, Data Lakehouse), BigQuery, Cloud Composer, Dataflow, Pub/Sub, Data Governance (Dataplex, Data Catalog), Terraform, Cloud Build, and Vertex AI.SFEIR AI: A dedicated journey to master generative AI and coding agents.Community: 140 certified Google Cloud professionals, 30 Google Authorized Trainers, and 7 Google Developer Experts. Your ResponsibilitiesDesign innovative data architectures on GCP.Define architectural patterns and best practices.Lead the implementation of data mesh and data fabric solutions.Support the modernization of legacy data platforms.Advise clients on their data strategy and ensure technical coherence in proposed solutions.Guarantee the scalability and performance of architectures. Your ProfileYou have at least 6 years of experience, including 3 years in Data Architecture.You possess confirmed professional experience with Google Cloud.Mastery of cloud-native architectural patterns.Ability to communicate effectively with both technical and business teams. Why Join SFEIR?Each SFEIR member is supported by an Engineering Manager.Opportunities for advancement into Senior Staff Engineer, Senior Principal Engineer, or Engineering Manager roles.Continuous training with access to Google Cloud Skills Boost and certifications.Participation in Google Cloud events.An active community with over 50 annual events.