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.

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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:

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- 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:

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- 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

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- 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:

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- 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. xqbhyrx

- 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