Smadex is a leading advertising technology company founded in Barcelona in 2011 and sold to American-based and stock-listed Entravision in 2018 (NYSE::EVC). We are one of the top mobile ad-tech companies in the world and the largest Demand Side Platform (DSP) based in Europe, with our revenues over +$100M and consistently growing +40% YoY over the past years.

Our mission is to continue to improve our ad-tech platform to help our clients achieve their programmatic advertising campaign goals, and we want to give our employees a job they’ll love, where they will be challenged to improve results through real-life engineering and data analysis and where everyone’s implication has an impact.

Are you ready to be part of the new unicorn? Keep reading!

What will you do:

- As a SeniorMachine Learning/Staff Engineer you will be part ofall the major architectural decisions and developmentswe make on our algorithms, especially in our deep neural network algorithms
- You will be responsible for developing new features, measuring the performance and improving our pipelines.Our ML Engineer role combines the classic “ML Scientist” and “Data Engineer” role at other companies
- You will also play an analytical role researching, designing, implementing, and deploying full-stack scalable data analytics and machine learning solutions to challenge business issues, as well as working closely with our Tech and Ops team
- You will work onunique modeling challenges not covered in the scientific literature, like extreme positive sample sparsity and labelling delay.
- Analyze data from different sources and provide actionable insights to business and engineering stakeholders

What you need to have:

- 5+ years of relevant experience in Data science positions




- Very strong coding ability: Python, Scala, Java
- Proficiency in building high-performance algorithms in production
- Proficiency in solving problems
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical significance tests)
- Experience in data mining and predictive modelling: deep neural networks,logistic regression, clustering and time series analysis models
- Knowledge of Bitbucket/Git version tools
- Experience working with SQL and data warehousing
- Possesses excellent communication skills both verbal and written
- Able to mentor other team members
- Fluency in English

Extra points for

- Master’s degree in Statistics, Applied mathematics, Computer Science
- Proficiency in building high-performance algorithms in production
- Experience with reporting and data visualization tools such as Jupyter Notebook, Zeppelin, Tableau, Periscope, PowerBI or others
- Experience in digital marketing platforms and user acquisition
- Experience with and Apache Spark and Java programming language
- Familiarity with AWS services such as EMR, EC2, Athena, S3, Redshift
- Used to Linux environments

Reward package:

- Integrate a highly motivated and young team.
- Great compensation package.
- Top location at the heart of Barcelona in a penthouse office with a rooftop terrace, barbeque, and a fully stocked fridge.
- Work from home: 2 days/week
- Private Health Insurance
- Access to LinkedIn Learning
- Meal vouchers - Tickets Restaurant monthly allowance.
- Monthly gym allowance: Choose between DiR Gym and Wellhub
- Monthly TGIF events.
- Regular team-building events.
- Fun and friendly work environment with talented marketers and engineers from over 40+ countries
- And more!

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📌 Senior Machine Learning/Staff Engineer (Barcelona)
🏢 Smadex Slu
📍 Barcelona