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Lead Data Insights Developer
2 settimane fa
About Emeis Italia
We're a micro-mobility company that's always on the move. Our mission is to transform complex datasets into actionable insights, driving innovation and growth in the industry.
Job Description
As a Senior Data Scientist, you will be responsible for designing and implementing data-driven solutions across multiple areas, including product insights, trend forecasting, and fraud detection. Your daily tasks will involve:
- Developing, enhancing, and optimizing methods for data acquisition, extraction, and processing to ensure the availability of high-quality, relevant data for analysis.
- Utilizing statistical modeling and Machine Learning to build, validate, and maintain models for predicting and optimizing key performance metrics.
- Designing and implementing recommendation algorithms tailored to customer behavior, with both supervised and unsupervised learning techniques to improve user engagement and experience.
- Applying pattern recognition and anomaly detection techniques to identify unusual activities and prevent potential fraud across our platform.
- Working closely with cross-functional teams, including Engineering and Product, to embed data science solutions into core business applications, ensuring seamless integration and scalability.
Requirements
To succeed in this role, you'll need:
- A minimum of 2-3 years of experience in a similar role in Data Science or Machine Learning.
- A degree in Mathematics, Physics, Computer Science, Statistics or a similar field.
- Good programming knowledge in Python.
- Experience with Statistical Analysis and Machine Learning.
- Analytical and data-oriented skills.
- Excellent knowledge of the English language.
- Teamwork and goal-oriented approach.
- Ability to work independently with high problem-solving skills.
- Down-to-earth and open to taking a step back if needed.
- Motivated to build an empire.
What We Offer
We provide:
- An incredibly talented team.
- An extreme learning curve.
- Motivation, inspiration, and challenges.
- Flexibility and total transparency.