Data Scientist in Madrid or Remote


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Job Description

Launchmetrics is the leading Brand Performance Cloud used by Fashion, Luxury and Beauty (FLB) executives to connect with the modern consumer in a constantly changing landscape. With over a decade of industry expertise, we have helped more than 1,000 customers create inspiring, impactful and measurable experiences.

Our Brand Performance Cloud provides companies with the tools and intelligence they need to optimize the use of their creative assets, execute powerful brand amplification programs and measure their brand performance. The company’s AI-driven and proprietary Media Impact Value gives customers the ability to benchmark their performance against 2,000 competitors worldwide. Launchmetrics' intelligence empowers these companies to grow their businesses and streamline their processes, bringing a sharp focus to profitability, accountability, and efficiency while enabling the type of quick decision making required for agility.

Founded in NYC and with operating headquarters in Paris, we have employees in eight markets worldwide and offer support in five languages. We have  been the trusted brand performance technology to brands worldwide such as Dior, Fendi, Shiseido, NET-A-PORTER and Adidas as well as partners like IMG, the Council of Fashion Designers of America, the British Fashion Council, and Camera Nazionale Della Moda Italiana.


We are data scientist gurus and obsessed with analytics. Our strength comes from our philosophy of close collaboration and collective drive to achieve our goals.

We address complex data science tasks that include research and use of multiple ML and DL models tailored to various aspects of Natural Language Processing and Computer Vision.

Our mission is to DIG into data to extract useful and reliable knowledge for Launchmetrics and our customers.


Creativity and proactive thinking are our motos in the Data Intelligence team! By joining us, you will work with an exceptionally talented group in an international collaborative environment.

You will be responsible for the research and development of machine learning and deep learning algorithms to extract knowledge from text documents, images and videos in order to solve highly complex business problems and support decision making.

To solve image-related problems such as classification and recognition, you will be mainly researching convolutional Neural Networks and their variants (FasterR-CNN, SDD, inception, etc.). Natural Language Processing and LSTM networks will be mainly used to solve text-related problems.

With a knack for analysis, math and statistics, you’ll conduct research from which you'll develop prototypes and proof of concept and you’ll put the developments working in production environments.

If you’re a team player with a passion for research and machine learning, this job is for you!


  • Work with large data sets from multiple data sources

  • Research on several areas of data modeling, machine learning algorithms, deep learning algorithms, statistical analysis, data engineering and data visualization to bring innovation to our products

  • Being up to date about the state-of-the-art on both academic papers and industry tools

  • Use your critical thinking and problem-solving skills to interpret data

  • Own your work from ideation to production, with the support of business and product team

  • Deploy and monitor models in production environments

  • Effectively resolve problems and roadblocks as they occur

  • Collaborate with engineering and product development teams


    Your Profile:

    • PhD in Data Science, Statistics, Mathematics, Computer Science or another quantitative field or comparable proved experience.

    • 2+ years of relevant experience manipulating datasets and building natural language processing and/or computer vision models

    • Experience with Python, Keras, TensorFlow, Pytorch and SQL

    • Experience working with and creating data architectures

    • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks

    • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

    • Bright, energetic, highly motivated self-starter with experience in a fast-paced, results-oriented organization

    • Good written and verbal communication skills. Able to present information to various audiences

    You’ll Be Our Rockstar If:

    • You have experience using Function as a service infrastructure (Serverless, AWS Lambda) and Containers (Dockers..)

    • You’re familiar with Scala, Hadoop or C++

    • You are experienced with Agile development processes: Scrum, Kanban

    • You understand Object-Oriented Design, Design Patterns, Service Oriented

    • You already worked with AWS technologies, ElasticSearch


    • English (mandatory)


    We offer a fantastic opportunity to participate in the development of a disruptive international company in an incredible work environment – cool, casual, fast-paced with a passionate, driven and fun team. Our employees thrive under autonomy and can easily have a strong impact on our business, customers and organization. By joining us, you will have a chance to work in a cutting edge yet established global organization with 20+ years in business, sustainable growth and leading investors as partners.

    At Launchmetrics, we think ourselves as one team and we care about each other by pay extra-attention to :

    • Worklife balance (Generous time off)
    • Team spirit (Regular team building activities & annual all company off-sites)
    • Growth & Equity (6 months performance reviews)
    • Wellness (Flexible remote working)
    • Care (Healthcare benefits)
    • Diversity & Inclusion (Equal opportunity employer - EEO Statement)


    • Step 1: Phone Screen (with Juliette, one of our People Ops team members)
    • Step 2: Meet & Greet (with Juliette & Anna, our VP Data Intelligence)
    • Step 3: Skills Assessment
    • Step 4: Team Fit Interview (with the Data Intelligence team)

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