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Data Scientist/Machine Learning Engineer in Madrid or Remote

Audiense

Workplace
Remote
Hours
Full-Time
Internship
No
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Job Description

Audiense enriches 2 billion contacts a day, generating more than 200TB of data. It’s a major challenge to optimize the collection, storage and accessibility of all the data to allow our customers to base their business decisions on consumer insights.

You will join a multi-skilled team that knows how to deliver a great user experience, based on scalable architecture. We need fearless innovators who are able to understand complex challenges and provide quality integrated solutions.

We use a mixture of agile methodologies that allows us to iterate very quickly. We deploy to production many times a day, thanks to a totally automated workflow. This allows us to quickly see the fruits of our labour in production.

The ideal Data Scientist will mine data from audiences and conversations, design algorithms, and develop models which improve Audiense’s insights platform. The right person for this role will enjoy designing high-performance models, and developing robust code that scales on live data.

Responsibilities

  • Research, invent and prototype new learning algorithms that underpin our core product, which is already used by some of the world’s biggest brands
  • Deal with challenging, unresolved data problems applicable to thousands of major enterprises globally.
  • Design and implement unsupervised dynamic algorithms to process real-time conversation data.
  • Build algorithms to extract insight from our 200TB social media dataset
  • Collaborate on key architectural decisions and design considerations
  • Work in a multi-disciplined team where you’ll take full ownership of turning discoveries and ideas into machine learning models.
  • Actively contribute to taking data science at Audiense to the next level

Requirements:

  • Degree in Computer Science, Machine Learning, Statistics & Applied Math, Physics, or similar field. Masters or PhD Degree a plus.
  • Knowledge in data pre-processing, data cleansing and feature design (extract/build new features).
  • Experience in dealing with high performance and real-time scoring/classification requirements.
  • Experience in handling large datasets or working with Hadoop, Spark and related tools.
  • Able to design, implement, test, and explain statistical algorithms and core machine-learning concepts.
  • Experience with diving into data, finding insights, and presenting them.
  • Exercise good judgment about which tools to use and when to use them.
  • Experience with SQL and relational databases. PostgreSQL and/or MySQL is a plus.
  • Experience with NoSQL. MongoDB is a plus.
  • A good working knowledge of statistics and machine learning algorithms, especially in the NLP and graph space
  • Prior experience with a few of the following models: Logistic Regression, Linear Regression, Support Vector Machines, (Deep) Neural Networks, Hidden Markov Models, Conditional Random Fields, and/or Latent Dirichlet Allocation.
  • Experience with at least one scripting language, e.g. R, Octave, and one programming language, e.g. Javascript, Python, Perl, C/C++, Java.
  • Solid experience working on large-scale, distributed systems.
  • Strong problem solving and analytical skills.

Advantageous skills:

  • An interest in social media and familiarity with the current trends
  • Active Twitter user
  • Adequate communication skills in English

We offer:

  • Competitive salary
  • Safari books (elearning)
  • 30 calendar days holiday, plus usual public holidays and a free day for your birthday
  • Great office in Cordova with free drinks/tea/coffee and fresh fruit
  • Co-working voucher
  • Choice of whether to use Mac or PC
  • Frequent team lunches and events
  • Quarterly dev meetups in Cordova

Remote work welcome:

Communication technologies are pretty good nowadays. There’s no reason you should have to uproot your personal life when you can do your job from home. We’ll set you up wherever you are so long as you’ve got a quiet place to work, a good Internet connection, and we can legally pay you where you live.

If you have rejected offers from great companies because they don’t believe in the power of Remote Teams then Audiense is the place for you.

That said, if you come to Cordova you will live in a beautiful, mid-sized city with a competitive salary and will enjoy free soft drinks, daily fresh fruit, coffee, regular staff nights out and #juevesdepizza. It’s a very exciting time here and we’d love for you to join us!


 

About Audiense

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