Data Scientist - Remote within Spain
Mad Collective, Spain
Job Description
At Mad Collective we are proud of our diversity (over 32 nationalities) and believe it is one of the most important contributors to our success. We’re 180+ people energized about our future and enjoying everything a high-growth company has to offer.
We offer a hybrid-remote work schedule which enables you to find the right combination of work from home and in-office collaborative time with your team.
Join the collective and go mad with us!
We are looking for a Data Scientist to be part of a team aiming at solving a variety of challenges arising from the everyday work of the Marketing, Finance, Product, Billing and Technology teams. You will be responsible for applying quantitative analysis, data visualization, data mining and machine learning techniques in order to tell the story behind numbers and derive actionable insights. Moreover, it’s expected that you will use sophisticated statistical methods to change the way we interpret data and how our products operate.
Responsibilities:
- Extract, clean, combine and model data from multiple sources to perform ad-hoc analysis.
- Evaluate the results of different A/B tests and changes in customer behavior.
- Use statistical methods to predict and model data in order to improve our product performance
- Effectively communicate analysis results and insights to different stakeholders.
- Partner with other data scientists, analysts or engineers on data modeling, data processing and analysis
- Develop, test and implement predictive algorithms by using state-of-the-art machine learning algorithms and statistical models
- Improve data quality through active data governance and strong collaboration with development teams
- Collaborate with cross-functional teams across disciplines such as product, engineering, operations, marketing amongst others; identify use cases for data science applications
Requirements
- +2 years of experience in a data analyst/scientist position ideally in a digital industry.
- MSc (or PhD) in a numerical field such as Mathematics, Physics, Computer science, Electrical Engineering, or Statistics.
- Experience with:
- Python for data wrangling, manipulations and performing exploratory analysis (using libraries like Pandas, Plotly, Numpy, Seaborn, etc.. )
- Writing advanced SQL queries.
- Advanced probability and statistics topics for Hypothesis Testing (Frequentist and Bayesians)
- Working knowledge of databases, data structures and reporting systems.
- Understanding of statistical methods and how data science can be applied to improve different elements of product and business operations
- Demonstrable experience at the production of ideas; from conception to deployment
- Excellent analytical and problem-solving skills using a range of data analysis or statistical techniques. Also able to communicate results to a variety of audiences
- Think and work independently, demonstrate creativity and deliver quick results, yet demonstrate a team-player attitude.
- Fluent English
Would be a plus if you have:
- Practical experience deploying ML projects and MLOps.
- Using AirFlow for pipelines orchestration,
- Experience with Tableau or any other reporting tool
- AWS or any other cloud computing platform.
- Knowledge or experience with Docker and R Shiny/Dash applications.
Benefits
- Private Health and Dental Insurance plan for employees.
- Subsidized gym memberships and fitness classes.
- Monthly internet allowance.
- Working from home setup allowance.
- Company sponsored Spanish, Catalan and English classes.
- Sponsored training and development.
- Quarterly company bonus programme.
- Top notch Apple equipment.
- Remote policy and flexible working hours
- Flexible Bank Holidays. Design your own working calendar with a lengthy consecutive vacation day policy.
- Day off for your birthday.
- Hybrid remote model office
*Please note: All applications must be submitted in English