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 (Madrid)
🏢 Smadex Slu
📍 Madrid