Senior Machine Learning/Staff Engineer

Smadex SLU; Barcelona; Híbrido; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private Health Insurance

Meal vouchers

Gym allowance

LinkedIn Learning

Team-building events

2 days work from home

Modern penthouse office in Barcelona

Descripción de la vacante

Smadex SLU, a Barcelona-based advertising technology company, seeks a Senior Machine Learning/Staff Engineer to drive architecture and develop novel ML features across our platform. You will own end-to-end ML pipelines, influence production-grade algorithms, and work closely with data and engineering teams in a fast-paced environment.

The role requires 5+ years in data science, strong programming skills in Python/Scala/Java, and experience with deep neural networks, time series, and predictive

Formación

• 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.

Responsabilidades

• Develop and own features, measuring performance and improving pipelines.
• Combine ML Scientist and Data Engineer responsibilities for scalable solutions.
• Research, design, implement and deploy full-stack data analytics and ML solutions.
• Work with Tech and Ops teams to address business issues.
• Tackle unique modeling challenges like extreme positive sample sparsity and labeling delays.
• Analyze data from diverse sources and provide actionable insights to stakeholders.

Conocimientos

Python

Scala

Java

Data mining

Deep neural networks

Time series analysis

Regression

Clustering

Statistical tests

Communication

Mentoring

English

Educación

Master’s degree in Statistics/Applied mathematics/Computer Science

Herramientas

Bitbucket/Git

SQL

Data warehousing

Jupyter Notebook

Zeppelin

Tableau

PowerBI

AWS (EMR/EC2/Athena/S3/Redshift)

Apache Spark

Descripción del empleo

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!