Artificial Intelligence Engineer

Subbyx; Bari; Ibrido; EUR 45.000 - 65.000; Tempo pieno

Descrizione del lavoro

A dynamic data-driven company in Puglia is looking for an experienced Data Scientist. You will transform complex datasets into actionable insights using advanced analytics and machine learning. The role involves developing data processing methods, building predictive models, and designing recommendation algorithms. Candidates should have over 5 years of experience and a degree in a relevant field, along with excellent Python skills. The company offers competitive compensation, fast growth opportunities, and a collaborative work environment.

Servizi

Competitive salary

Fast growth opportunities

Stock options and performance bonuses

Welfare

Competenze

• Minimum of 5-6 years of experience in Data Science or Machine Learning.
• Excellent programming knowledge in Python.
• Hands-on experience with Large Language Models (LLMs).

Mansioni

• Develop methods for acquiring and processing product and catalog data.
• Apply statistical modeling and machine learning to optimize key metrics.
• Design recommendation algorithms tailored to customer behavior.

Conoscenze

Data Science

Machine Learning

Python

Statistical Analysis

Analytical skills

Teamwork

Formazione

Degree in Mathematics, Physics, Computer Science, or Statistics

Descrizione del lavoro

Overview

Your mission You will transform complex datasets into actionable insights, by applying advanced analytics, machine learning, and predictive modeling to solve challenging business problems. You will also design and implement data-driven solutions across multiple areas, including product insights, trend forecasting, and fraud detection.

Sub to freedom. Freedom of choosing what you need, for how long you need it, without any sort of commitment. Freedom to change your mind and your behavior, whenever you want. Freedom of trying something new, without needing to worry if you don’t like it. Freedom from debts and commitment. If you can’t carry on, cancel. Whenever. Freedom from purchasing and producing waste. Give it back when you don’t need it anymore, we’ll give it a new life. Our mission is ambitious : to create and consolidate an alternative consumption model based on a simple monthly fee to achieve circularity and financial sustainability. Easy to say, harder to do. That’s why we need you!

Responsibilities

• Develop, enhance, and optimize methods for acquiring, extracting, and processing product and catalog data to ensure accuracy, consistency, and relevance for analysis and downstream applications.
• Apply statistical modeling and machine learning to build, validate, and maintain models that predict and optimize key catalog and product metrics, such as relevance and availability.
• Design and implement recommendation algorithms tailored to customer behavior, using supervised and unsupervised learning techniques to improve user engagement and experience.
• Design and implement AI-powered workflows that identify potential new products outside the current catalog, evaluate their fit with the company’s offering and financial models, and support integration into the catalog, including subscription price optimization and availability monitoring.
• Work closely with cross-functional teams, including Engineering and Product, to embed data science solutions into core business applications, ensuring seamless integration and scalability.

Qualifications

• Minimum of 5-6 years of experience in similar role in Data Science or Machine Learning
• Degree in Mathematics, Physics, Computer Science, Statistics or similar
• Excellent programming knowledge in Python
• Hands-on experience with Large Language Models (LLMs)
• Experience with Statistical Analysis and Machine Learning
• Analytical and data oriented
• Excellent knowledge of the English language
• Team-work and goal-oriented approach

What we offer

• An incredibly talented team
• Extreme learning curve
• Fast growth opportunities
• Motivation, inspiration and challenges
• Flexibility and total transparency
• Competitive salary
• Welfare
• Stock options and performance bonuses