Data Scientist - Milano, Italia - Satispay
Descrizione
Simplify payments to improve everyone's life
More than an app, Satispay is a great group of creative, innovative, curious, enthusiastic people united by a bold mission: to build the future of payments in Europe
We created a mobile payment network to revolutionize how people think about money, by creating a direct connection between consumers and merchants.
Join us as a
Data Scientist - Machine Learning and Marketing Technology
What you will be doing
We are looking for an exceptionally smart and motivated Data Scientist, with strong expertise in Machine Learning methods and technologies, who is comfortable working in an agile but architecture-led environment.
You will be responsible for analyzing large and complex datasets and conceiving predictive models and algorithms that will be used to optimize the marketing and customer acquisition strategies in Satispay.
This role is based at our headquarters in Milan, where - along with all the key people - as an active member of Satispay, you will be a core member of the Tech & Product Team, helping fuel the growth of the Satispay Group (Italy, Luxembourg, France, and soon other countries) in activities such as:- Identify opportunities for leveraging machine learning to enhance our offerings and processes
- Analyze large and complex data sets to uncover hidden patterns and insights
- Design, develop, and deploy machine learning models to solve business problems, forecast customer behavior, improve our ability to allocate efficiently marketing resources, and drive growth
- Design and implement experiments to test hypotheses and evaluate the impact of new features
- Collaborate with Satispay crossfunctional teams to build a bestinclass data infrastructure and perform analysis on large sets of data to extract impactful insights on user behavior that will help drive product and design decisions
- Continuously monitor and optimize machine learning models for accuracy and performance
- Communicate findings and insights clearly and concisely to stakeholders across Satispay
- Stay up to date with the latest developments and best practices in machine learning and data science
What we need
We're looking to attract talented professionals who share our passion for Satispay's opportunity, the belief that people's experience builds healthy enduring companies and positively impacts people's lives.
If you're looking for a career opportunity where you challenge yourself, learn, and professionally grow, Satispay is the right place for youYou have:
- A thorough understanding of statistical modeling, and 3+ years of experience in data science, with a focus on Machine Learning and Deep Learning
- Proficiency with causal inference techniques
- Strong programming skills in Python and experience with machine learning libraries such as Scikitlearn, PyTorch, or TensorFlow
- Problemsolving skills, to grasp and tackle loosely defined problems, and come up with relevant answers and impactful insights
- Strong communication and collaboration skills, which make you comfortable working with multiple stakeholders
- Fluency in English, both written and spoken
- Experience in the Fintech industry is a plus
- Experience with cloud platforms (AWS preferred) is a plus
You are:
- Highly organized and able to work both in team and independently
- A very good communicator and relationship builder
- A very quick learner who adapts fast
- Enthusiastic about taking on new challenges and to work under pressure in a fastpaced international environment
- Proactive thinker, with the ability to 'think outside the box'
- Resultsoriented, easygoing, entrepreneurial, and passionate about your work
Logistic & Salary
The role is based in Milan with a hybrid work policy.
We offer a competitive salary, commensurate with experience.
Stock options plan available.
The selection process
Please send us your CV in English. Once we receive it, we will take the time to evaluate it carefully.
Should there be a match for this or any other position at the Company, we will be in touch with you.
Our selection process may vary in the number and order of steps but generally includes HR interview, technical evaluation, and final meeting in person.
Satispay is an equal opportunity employer, we do not discriminate on the basis of race, color, religion, sexual orientation, gender identity, or national origin.
This job opportunity is addressed to both sexes, in accordance with Laws 903/77.
LI-DNI
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