4 Posti di lavoro per Data mining in La Spezia
Stage – Business Intelligence CRM
Lavoro visualizzato
Descrizione Del Lavoro
Per il nostro team CRM cerchiamo una risorsa da inserire in stage con il ruolo di Business Intelligence CRM
Attività previste
Durante il periodo di stage, la risorsa selezionata affiancherà il team CRM nelle attività di analisi e reportistica, contribuendo in particolare a:
- Supportare l’elaborazione e l’interpretazione dei dati provenienti dal sistema CRM, al fine di approfondire la conoscenza del comportamento dei clienti;
- Analizzare le performance delle iniziative di marketing e fidelizzazione (DEM, attività nei punti vendita, programma loyalty);
- Collaborare all’individuazione di trend di consumo, integrando dati interni e insight di mercato.
Profilo ideale
Il profilo che ricerchiamo presenta le seguenti caratteristiche:
- Iscrizione a un corso di laurea in discipline statistiche, economiche o affini;
- Spiccata attitudine analitica e forte interesse per l’analisi dei dati;
- Interesse per l’analisi del Cliente tramite l’uso dei dati;
- Precisione, curiosità e orientamento all’apprendimento di strumenti e metodologie di business intelligence, data visualization e analisi predittiva.
Competenze tecniche (preferenziali ma non vincolanti)
Nel corso dello stage sarà possibile approfondire o sviluppare competenze nei seguenti ambiti:
- Conoscenze di base di SQL e di linguaggi di programmazione statistica (es. Python, R, SAS);
- Interesse per strumenti di visualizzazione dei dati (es. Tableau CRM / Salesforce Einstein Analytics);
- Familiarità con strumenti di web analytics (es. Google Analytics);
- Conoscenza di base o interesse per tecniche di segmentazione e clustering.
Lavoro non più disponibile
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Tuttavia, di seguito sono disponibili lavori simili per te.
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Lavoro visualizzato
Descrizione Del Lavoro
Data Scientist
to join our team and contribute to the development of data-driven solutions that address real-world business challenges. This role offers the opportunity to work with advanced machine learning models, large datasets, and modern analytics tools in a collaborative, innovation-focused environment. If you have a passion for extracting insights from data, a strong foundation in statistical analysis and machine learning, and a problem-solving mindset, we’d love to hear from you!
Key Responsibilities Collect business requirements and translate them into technical solutions and algorithm specifications Design, develop, and implement analytics solutions using sound engineering principles and best practices Conduct risk analysis, conceptual design reviews, and ensure alignment with product requirements Execute software development in incremental cycles with continuous monitoring and validation Perform analytics validation at fleet level and manage deployment to production environments Ensure compliance with data science standards and conduct quality assurance of solutions Coordinate with cross-functional teams and present results to business stakeholders
Required Qualifications Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field 3+ years of experience in machine learning, statistical modeling, or related analytical roles Strong proficiency in Python and solid foundation in machine learning, data analysis, and statistics Proficiency with statistical analysis and machine learning fundamentals Hands-on experience with software development best practices and version control systems. Understanding of SQL and database management systems Excellent analytical and problem-solving skills with a high attention to detail
Preferred Qualifications Master's degree in Data Science, Statistics, or a related quantitative field Experience with advanced machine learning algorithms and ensemble methods Hands-on knowledge of data preprocessing techniques and feature engineering Familiarity with cloud-based development and deployment environments. Understanding of MLOps principles and deployment pipelines. Experience with deep learning frameworks (TensorFlow, PyTorch) and neural network architectures Understanding of time series analysis and advanced forecasting technique
Apply now to join our innovative team and help shape the future of AI!
Scienziato Data Science
Inserito 4 giorni fa
Lavoro visualizzato
Descrizione Del Lavoro
We are seeking a talented and motivated Data Scientist to join our team and contribute to the development of data-driven solutions that address real-world business challenges. This role offers the opportunity to work with advanced machine learning models, large datasets, and modern analytics tools in a collaborative, innovation-focused environment. If you have a passion for extracting insights from data, a strong foundation in statistical analysis and machine learning, and a problem-solving mindset, we’d love to hear from you!
Key Responsibilities
- Collect business requirements and translate them into technical solutions and algorithm specifications
- Design, develop, and implement analytics solutions using sound engineering principles and best practices
- Conduct risk analysis, conceptual design reviews, and ensure alignment with product requirements
- Execute software development in incremental cycles with continuous monitoring and validation
- Perform analytics validation at fleet level and manage deployment to production environments
- Ensure compliance with data science standards and conduct quality assurance of solutions
- Coordinate with cross-functional teams and present results to business stakeholders
Required Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field
- 3+ years of experience in machine learning, statistical modeling, or related analytical roles
- Strong proficiency in Python and solid foundation in machine learning, data analysis, and statistics
- Proficiency with statistical analysis and machine learning fundamentals
- Hands-on experience with software development best practices and version control systems.
- Understanding of SQL and database management systems
- Excellent analytical and problem-solving skills with a high attention to detail
Preferred Qualifications
- Master's degree in Data Science, Statistics, or a related quantitative field
- Experience with advanced machine learning algorithms and ensemble methods
- Hands-on knowledge of data preprocessing techniques and feature engineering
- Familiarity with cloud-based development and deployment environments.
- Understanding of MLOps principles and deployment pipelines.
- Experience with deep learning frameworks (TensorFlow, PyTorch) and neural network architectures
- Understanding of time series analysis and advanced forecasting technique
Apply now to join our innovative team and help shape the future of AI!
Scienziato Data Science
Inserito 2 giorni fa
Lavoro visualizzato
Descrizione Del Lavoro
Data Scientist
to join our team and contribute to the development of data-driven solutions that address real-world business challenges. This role offers the opportunity to work with advanced machine learning models, large datasets, and modern analytics tools in a collaborative, innovation-focused environment. If you have a passion for extracting insights from data, a strong foundation in statistical analysis and machine learning, and a problem-solving mindset, we’d love to hear from you!
Key Responsibilities Collect business requirements and translate them into technical solutions and algorithm specifications Design, develop, and implement analytics solutions using sound engineering principles and best practices Conduct risk analysis, conceptual design reviews, and ensure alignment with product requirements Execute software development in incremental cycles with continuous monitoring and validation Perform analytics validation at fleet level and manage deployment to production environments Ensure compliance with data science standards and conduct quality assurance of solutions Coordinate with cross-functional teams and present results to business stakeholders
Required Qualifications Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field 3+ years of experience in machine learning, statistical modeling, or related analytical roles Strong proficiency in Python and solid foundation in machine learning, data analysis, and statistics Proficiency with statistical analysis and machine learning fundamentals Hands-on experience with software development best practices and version control systems. Understanding of SQL and database management systems Excellent analytical and problem-solving skills with a high attention to detail
Preferred Qualifications Master's degree in Data Science, Statistics, or a related quantitative field Experience with advanced machine learning algorithms and ensemble methods Hands-on knowledge of data preprocessing techniques and feature engineering Familiarity with cloud-based development and deployment environments. Understanding of MLOps principles and deployment pipelines. Experience with deep learning frameworks (TensorFlow, PyTorch) and neural network architectures Understanding of time series analysis and advanced forecasting technique
Apply now to join our innovative team and help shape the future of AI!
Scienziato Data Science
Inserito 2 giorni fa
Lavoro visualizzato
Descrizione Del Lavoro
We are seeking a talented and motivated Data Scientist to join our team and contribute to the development of data-driven solutions that address real-world business challenges. This role offers the opportunity to work with advanced machine learning models, large datasets, and modern analytics tools in a collaborative, innovation-focused environment. If you have a passion for extracting insights from data, a strong foundation in statistical analysis and machine learning, and a problem-solving mindset, we’d love to hear from you!
Key Responsibilities
Collect business requirements and translate them into technical solutions and algorithm specifications
Design, develop, and implement analytics solutions using sound engineering principles and best practices
Conduct risk analysis, conceptual design reviews, and ensure alignment with product requirements
Execute software development in incremental cycles with continuous monitoring and validation
Perform analytics validation at fleet level and manage deployment to production environments
Ensure compliance with data science standards and conduct quality assurance of solutions
Coordinate with cross-functional teams and present results to business stakeholders
Required Qualifications
Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field
3+ years of experience in machine learning, statistical modeling, or related analytical roles
Strong proficiency in Python and solid foundation in machine learning, data analysis, and statistics
Proficiency with statistical analysis and machine learning fundamentals
Hands-on experience with software development best practices and version control systems.
Understanding of SQL and database management systems
Excellent analytical and problem-solving skills with a high attention to detail
Preferred Qualifications
Master's degree in Data Science, Statistics, or a related quantitative field
Experience with advanced machine learning algorithms and ensemble methods
Hands-on knowledge of data preprocessing techniques and feature engineering
Familiarity with cloud-based development and deployment environments.
Understanding of MLOps principles and deployment pipelines.
Experience with deep learning frameworks (TensorFlow, PyTorch) and neural network architectures
Understanding of time series analysis and advanced forecasting technique
Apply now to join our innovative team and help shape the future of AI!
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