35-year leader in Europe in the sale of Security Systems, operating in 17 countries between Europe and South America, with more than 25,000 employees and more than 5,000,000 customers worldwide, searching for:
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The role will be based in Rome, reporting to the Marketing Intelligence Manager and working close to the marketing department and the technology area.
Key Responsibilities:
1. Co-operate with other departments of the firm in order to identify opportunities to exploit company data to guide company solutions
2. Breaks down and analyses data from company databases in order to guide the optimization and improvement of marketing techniques and business strategies
3. Develops models and customized data algorithms to be applied to datasets
4. Uses predictive models to improve and optimize marketing campaigns, lead generation, advertising targeting, and other business outcomes
5. Develops A/B test frameworks for the company and verifies the quality of the model
6. Develops processes and tools to monitor and analyse the performances of the model and the precision of the data
We are looking for a candidate with:
7. We are looking for a candidate with 3-5 years of experience in the field, with a master degree or PhD in statistics, mathematics, information technology, engineering or data science
8. Proven experience in data analysis and modeling projects using python, with particular focus on the business aspects of a Marketing department
9. At least 3-5 years of Python programming experience
10. Experience in using python packages for connections to DBs or external sources (eg pyodbc, sqlalchemy, office365, googleapiclient)
11. Knowledge of API REST and JSON
12. Knowledge of statistical tests and feature selection methods (eg: RFE, p value, Variance Inflaction Factor, PCA)
13. Knowledge of supervised and unsupervised Machine/deep learning algorithms (Regressions, Classifications, Clustering), experience of their use in business applications
14. In-depth experience using python packages for managing dataframes, dataviz and ML es (es: pandas, Numpy, Pyplot, Sklearn, PyTorch)
15. Knowledge in pipeline management dynamics
16. Basic knowledge of the SQL language and the logic of a Relational DB
17. Knowledge of non-relational architectures and databases (eg MongoDB) is a Plus
18. Prior experience in market analysis is a Plus
Preferential requirements:
19. Excellent knowledge of English (Level C1/ C2)
We offer:
20. Challenging environment in a fast-growing company in an industry with great potential
21. Company with a young entrepreneurial spirit, in which a lot is still to build
22. Exciting role with career growth opportunities and global mobility.
23. Salary package that matches market and attractive employee benefits.
We are looking for passionate professionals, focused on giving solutions and bringing their value to the business, to our organization and to our people, living our values of Verisure DNA:
24. Passionate in Everything We Do. Our people have a sense of energy that is unmistakable, one that drives us to delight our customers and focus on creating impact quickly.
25. Committed to Making a Difference. When we say we will do something; we deliver with excellence. We are accountable, focused and operate with discipline.
26. Always Innovating. We believe that Innovation can be big or small. This is a continuous state of mind that inspires us to think differently and always make things better. We are risk takers and we learn continuously.
27. Winning as a Team. Our people know that by leveraging one another’s strengths, investing in and developing our team’s capability and by collaborating well, we will win.
28. With Trust & Responsibility. Operating with integrity is core to our success. We are humble, honest and value deep mastery and expertise. We do the right thing, always.
Verisure is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. (L.903/77 e L.125/91).