Senior Data Scientist - Pricing Optimisation

Fever; Madrid; Hybrid; EUR 40,000 - 80,000; Full time

Benefits offered by this job

Attractive compensation package

Stock options

40% discount on Fever events

Flexible hybrid model

Health insurance

Gympass Membership

English Lessons

Flexible remuneration through Cobee

Possibility to receive salary in advance via Payflow

Professional and personal growth opportunities

Job summary

Join a leading global live-entertainment tech platform where you will play a pivotal role in enhancing decision-making through data science. This position offers the chance to work at the intersection of business and engineering, collaborating with various stakeholders to develop data-driven solutions that optimize event pricing and enhance customer experiences. You'll have the opportunity to impact a high-growth global leader while fostering a culture of excellence and innovation within a vibrant team. If you thrive in fast-paced environments and are passionate about leveraging data to drive business success, this role is perfect for you.

Qualifications

• Strong math, statistics, and ML fundamentals required.
• Experience in developing and deploying business models is essential.

Responsibilities

• Develop data-driven solutions to optimize event pricing.
• Analyze demand and price elasticity to maximize customer value.

Skills

Mathematics

Statistics

Machine Learning

SQL

Data Analysis

Data Modeling

Python (Pandas, Numpy)

Communication Skills

Problem-Solving

Education

MSc in Mathematics or Statistics

PhD in a related field

Tools

Pytorch

JAX

Job description

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.

At Fever we are committed to fostering professional growth and development through our Internal Mobility Policy. Our goal is to provide our talented employees with diverse opportunities to expand their skills, knowledge, and experiences within our global organization.

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.
• You will work closely with our stakeholders in business, product, and engineering to devise data-driven solutions to optimise the pricing of events in our marketplace.
• You will develop and maintain models to accurately estimate demand and price elasticity in order to maximise the long term value for our customers and Fever.
• You will analyse and exploit cross effects across products and contexts (e.g., box office, marketplace) to drive further optimisation opportunities.
• You will design, execute, and analyze experiments, leveraging statistics, econometric models, causal inference techniques to determine the true impact of pricing interventions.
• You will collaborate with our partners to devise the right solutions across domains (e.g., sports and live entertainment), to tackle diverse business problems and needs.
• Data Scientists also form a tight-knit group constantly looking to upskill and learn from each other, share best practices and learnt lessons and generally foster a culture of excellence.
• 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).
• You have a strong understanding of statistical analysis and modeling including regression, econometric models, time series analysis and forecasting.
• You are a master of common data and ML tools (e.g. SQL, Pandas, Numpy, …).
• You can build both quick prototypes and robust analysis and modeling pipelines.
• You can work effectively with data engineers, analysts, software engineers, etc.
• You have prior experience developing and deploying models for business applications.
• You have a scientific mindset, a problem-first attitude and are highly self-critical.
• You have an entrepreneurial spirit, get stuff done and thrive in a fast paced environment.
• You are comfortable with software engineering best practices and write robust, reproducible and maintainable code.
• 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 causal inference, reinforcement learning and optimisation systems.
• Have relevant work experience in 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

• Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance.
• Stock options.
• Opportunity to have a real impact in a high-growth global category leader.
• 40% discount on all Fever events and experiences.
• Flexible hybrid model. Our offices are located in Madrid and Barcelona.
• Responsibility from day one and professional and personal growth.
• Great work environment with a young, international team of talented people to work with!
• Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee.
• English Lessons.
• Gympass Membership.
• Possibility to receive in advance part of your salary by Payflow.

Thank you for considering joining Fever. We cannot wait to learn more about you!

Fever is committed to creating an inclusive and diverse workspace where everyone's background and ideas count. Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities. We encourage everyone to apply!