Senior Data Scientist - Madrid, España - FeverUp

FeverUp

Empresa verificada

Madrid, España

hace 2 semanas

Publicado por:

Isabel García

beBee Recruiter

Descripción

Hi, we're Fever
We're excited you are checking out this job offer.

We are _the_ leading global live-entertainment discovery tech platform with a clear mission
:to democratize access to culture and entertainment.

How do we achieve our mission? Fever has developed a proprietary technology that inspires a global community of over 125M people through personalized and curated experiences in their local city whilst empowering entertainment and event creators to reach new audiences and enhance their experience.

Sounds amazing, right?

Behind the user-friendly iOS and Android apps and webpage that work across the world is the engineering team.

We are in charge of creating, developing, improving, and maintaining all Fever services so that more people can have an amazing experience.

About the role:

Sitting at the intersection of business and engineering, Data Scientists work in several different capacities to improve the overall decision making capabilities at the company and connect people to the best and most relevant experiences. Some examples include working handonhand with business teams to answer critical questions or contributing to core personalization technologies for our product and communications.
Data Scientists contribute to the full lifecycle of a project, from ideation to production. You will understand complex business problems, build and validate hypotheses, devise analytical and computational solutions, build the technology required for those solutions, identify valuable internal and external data sources,
Data Scientists also form a tightknit group constantly looking to upskill and learn from each other, share best practices and learnt lessons and generally foster a culture of excellence.
As one of our first hires in the Data Science org, this is a highly visible role with a lot of potential to define the scope and strategy for this extremely important function. You'll play a key role in taking Fever's already vibrant data culture to the next level

On your first month in Fever:

You'll be fully integrated into the team and you will meet some key partners on the engineering and business sides
You'll be able to navigate our data assets
You'll get familiar with Fever's tech stack and frameworks
You'll attend some of the Fever Original's experiences like Candlelight

After 3 months in Fever:

You'll understand the full business context at Fever and will be able to identify key challenges where your skills can eventually make a difference
You'll have already contributed significantly to advance a challenging Data Science project
You'll participate in some of the hackdays or hackathons we organize with other teams

On your 6th month in Fever:

You'll have established yourself as a sought-after collaborator by our business and engineering partners
You'll be mentoring other new joiners to the team and be an active contributor to the data science and analytics community at Fever, promoting best practices and fresh ideas to make the whole community more efficient
You'll have significant input in the planning of the Data Science org and will also be able to influence our partners' roadmaps

About you:

You have solid math, statistics and Machine Learning fundamentals (typically MSc or PhD level) so you
Understand the theory behind the algorithms
Can make informed and reasonable modeling choices
Can rigorously evaluate the performance and failure modes of your proposals
You can turn your ideas into reality, meaning that you
Are a master of common data and ML tools (e.g. SQL, Pandas, Numpy,)
Can build both quick prototypes and robust analysis and modeling pipelines
Can work effectively with data engineers, analysts, software engineers, etc.
You have a scientific mindset, a problemfirst attitude and are highly selfcritical so you
Can translate complex problems into mathematical formulations
Start simple and construct solid baselines
Know when it's necessary to introduce extra complexity and when simple is better
Don't reinvent the wheel
You have an entrepreneurial spirit, get stuff done and thrive in a fast paced environment so you
Take ownership of your work
Communicate early and often
Take controlled risks
Leave things better than you found them
You are comfortable with software engineering best practices and write robust, reproducible and maintainable code, but can also build quick prototypes to validate ideas and enable new analysis.
You have excellent communication skills and are proficient in business English

It would be a plus if you...

Have significant expertise in technical areas such as Bayesian modeling, causal inference, realworld recommendation systems,
Have relevant work experience in marketing or internet tech companies
Identify yourself as both a scientist and a hacker
Have experience with current ML and scientific computing frameworks such as Pytorch, JAX, etc.

**Benefits & Perks