DataFamily

Bonjour, Dans le cadre de mon M1 programme grandes écoles, en marketing publicité à l’ISCOM, je me permets de vous écrire ce message sur votre forum afin de vous solliciter pour répondre à mes interrogations concernant votre métiers, passion. En effet, j’effectue mon mémoire sur le big data et le data marketing, ma problématique étant : Comment aujourd’hui les entreprises peuvent utiliser le data marketing alors que les consommateurs sont réticents à la collecte des données ? Je me permets donc de solliciter votre aide afin de réaliser des entretiens par téléphone, ou encore par un échange de mails. Je m’engage à respecter l’anonymat et la confidentialité des propos tenus lors de leurs retranscriptions dans mon rapport de recherche, si vous le souhaitez.

Dataiku allows enterprises to create value with their data in a human-centered way while breaking down silos and encouraging collaboration. One of the most unique characteristics of our product, Dataiku, is the breadth of its scope and the fact that it caters both to technical and non-technical users. With Dataiku, we aim to empower people through data and democratize data science. Dataiku’s promise to our customers is to provide them with the software and support needed to accelerate their Data Science and Machine Learning maturity. Dataiku’s Data Science team is responsible for delivering on that promise. Internally, we call the team the DataFab, ask us about it! As a Data Scientist at Dataiku, you will have the opportunity to participate in our customer's journey, from supporting their discovery of the platform, it's installation and configuration, to training users and co-developing data science applications, from design to deployment. You will get hands-on experience coding in multiple languages and applying the latest big data technologies to business uses cases. Our ideal candidate is comfortable learning new languages, technologies, and modeling techniques while being able to explain their work to other data scientists and clients. What you'll do... • Co-develop data science projects with our customers • Crunch, analyze and investigate various kinds of data, across industries and use cases • Explore new machine learning algorithms, and apply them to real-world business applications • Deploy Machine Learning models to production, and develop its integration or front-end (e.g. a predictive webapp) • Help users discover the Dataiku platform and to master its use by providing trainings to users with a wide range of backgrounds and skill levels (data science, IT, analysts, managers, etc…) • Communicate results to non-technical colleagues and clients • Provide data science expertise to customers and internally to Dataiku’s sales, marketing, and R&D teams Who you are... • Curiosity and a desire to learn new topics and skills • Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public • 2+ years of experience with R or Python • 2+ years of experience with predictive modeling • Familiarity with data visualization in Python, R or JavaScript • Understanding of relational data structures and SQL • Ability to speak German Bonus points for any of these • Experience with PySpark, SparkR or Scala • Experience developing WebApps • Experience building APIs • Experience with cloud infrastructures, especially Kubernetes • Passion for teaching or public speaking Benefits • Exposure to a wide range of enterprise customers across industries. Examples of Dataiku’s hundreds of customers include GE, Unilever, Comcast, Ubisoft, OVH, Santander, and Capgemini. • A wide diversity of projects and tasks ensures that no two days will be alike • Opportunity to contribute to the core vision of our company and product: simplify and democratize the way people work with data and use Artificial Intelligence • Exposure to the latest, open-source technologies that Dataiku integrates. See here our release notes for our latest developments. • Trips in Europe and worldwide for company-wide and team summits • Opportunity to work with a smart, passionate and driven team in hypergrowth mode Please make sure to submit your resume in English To fulfill its mission, Dataiku is growing fast! In 2019, we achieved unicorn status, doubled in size and opened new offices across the globe. 2020 looked no different as we announced a $100 million Series D in August! We are now more than 600 Dataikers globally. Spanning from Sydney to Frankfurt, Denver to London, geography (and remote work) doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. postuler sur le site de l'entreprise

BlaBlaCar is the world’s leading carpooling platform, created with one dream in mind: leveraging technology to fill the millions of empty seats on the road. We offer long- and short-distance carpooling as well as a bus marketplace, with the mission to become the go-to marketplace for shared road mobility. Today, our community counts over 90 million travelers in 22 countries, creating a smarter, friendlier and carbon-saving transport network. Every year, our community saves 1.6 million tons of CO2e by sharing the road, equivalent to the CO2 emissions generated by Paris traffic in a year. But it doesn’t stop here – our team of 250+ engineers is developing innovative algorithms to further unlock the potential of shared travel and multiply its impact. We’re looking for people to join our journey – people who care, who are driven by impact and innovation, and who want to thrive in a fast-paced entrepreneurial environment. We offer a flexible workplace where we count on each other to take initiative. So join the ride – we can’t wait to see where it takes you. Your Mission We are looking for a Marketing Data Analyst to join the Data Operations analytics team, in charge of the analytics of paid marketing campaigns. Your role will be to empower operational marketing teams with reliable data products to optimise our decision-making and, as a result, our marketing efficiency. To do so, you will have to develop new data tools that enhance our understanding of the wide range of performance marketing activities we are running. You will also maintain our existing tools and be a force of proposition, making them evolve in the right direction - given the latest legal and regulatory frames for example. Your Responsibilities • Run geographic split-based incrementality tests to evaluate the true incremental effect of the campaigns. • Follow up with our Data science team to deliver a markov-chain based attribution model to better grasp funnels of our marketing channels • Take over the ownership of Tableau dashboards used daily by our marketing teams to optimize their campaigns; suggest and implement improvements • Get an overall understanding of the Tracking tools and associated constraints given the recent changes in the market regarding tracking • Follow up on those tracking topics, suggest improvements and own those topicsGet a good understanding of the data flows within the marketing analytics universe, from tracking tools (Adjust, GTM) to the data warehouse (Airflow/Python/BigQuery) and to our dashboarding tools (Tableau) • Investigate the issues and inconsistencies within the marketing data stack; understand where the issue comes from, solve it, then get the big picture of the data stack and suggest improvements to the stack to constantly improve the resilience of our stack. Your Qualifications • Data analytics experience; our stack is composed of SQL (Bigquery), Python, Airflow. Marketing experience, ideally in a growth-oriented environmentWe expect you to have at least 2 years of experience, ideally 3-5 in a marketing analytics position. • Understanding of tracking concepts and current legal frame: GDPR, Cookie restrictions from the CNIL, Ad blockers. Our tracking stack is composed of GTM (web), Adjust (apps), and an in-house tool. • You have excellent communication skills, you’re humble, and you enjoy sharing & learning from others.You embrace change, are able to take a step back, prioritize, and focus on added-value tasks. • You have a results-driven and impact-oriented mindsetFluency in EnglishNice to have: experience using Google Cloud Platform or a similar cloud provider (AWS, Azure…), and in particular Bigquery Nice to have: experience using our tracking tools Adjust and/or GTM. • If you don’t meet 100% of the qualifications outlined above, tell us why you’d still be a great fit for this role in your application! What we have to offer • 🌎 An international environment: over 35 nationalities across 7 countries: France, Germany, Spain, Ukraine, Russia, Brazil, Poland. • 💡 Opportunities to learn: 360 onboarding weeks, weekly team-all BlaBlaTalks to learn about what other teams are up to, International Weeks to mingle with other offices, regular Q&A sessions with our leadership, honest discussions about our company KPIs, ‘Fail, Learn, Succeed’ moments where we destigmatize and share moments of failure with others. • 🚀 Innovation: Coding Nights to pitch ideas outside our roadmap and make development dreams come true, weekly Product & Tech Demos and blogs to share engineering stories, access to top conferences across Europe. • 🌱 Impact: building a product that has a real impact on society and the environment, and sharing an office culture that prioritizes low-waste and eco-friendly practices. • 💜 People-first: wind down from work at our BlaBlaShows, BlaBlaBreak retreats, weekly breakfasts and afterworks (when the sanitary conditions permit it) or meme battles on Slack. • 🧭 Shared company principles that guide us in our everyday decision-making and bring us closer to our goal. Find out more about our BlaBlaPrinciples. Your future benefits • 🏡 Tailor-made remote policy: from 2 days per week to full remote (to be discussed with the Talent Acquisition Manager during the first call). • 💰 A fair & competitive salary package • 🚀Employee Stock Ownership plan • 🎈Holidays: 10 days off in addition to the legal 25 days • 🌍 Relocation package and visa sponsorship to welcome you wherever you are currently based • 👶 Parental policy • 🎒 Trainings & career development programs • 🚗Free carpooling & 🚌 bus-rides wherever whenever Apply for this job