Senior Data Scientist
Lecce, Province of Lecce, Italy
Logispin is looking for a passionate Data Scientist to join its team based in Lecce, Italy. The ideal candidate will join a rapidly growing team of data scientists applying machine learning algorithms to our big data pipelines, which handle thousands of data events every minute. With an emphasis on scalability, Logispin's data science team implements ML models trained on big data and provide predicted values to internal teams and external clients.
- Contribute new ML models to a REST API that provides on-demand predictions.
- Maintain and improve existing ML models and pipelines.
- Communicate with stakeholders from technical and non-technical areas.
- Delegate tasks, guide and provide support to less experienced data scientists in order to realise the successful completion of collaborative projects.
- Evaluate machine learning models with mathematical rigour translated to examples of real business cases.
- Select and employ advanced statistical procedures to obtain actionable insights.
- Continual improvement in machine learning techniques and of existing models.
- Suggest ways in which insights obtained can be used to enrich business strategies.
Requirements
- Advanced experience with cloud computing (ideally GCP), and in managing and deploying containerised applications (e.g. Docker, Kubernetes, Cloud Run).
- Proficiency in Python and its web frameworks (such as Flask or others), experience with Git version control and in-depth understanding of SQL.
- Experience working with big data technologies (e.g. BigQuery, Spark, Hadoop, Beam). Knowledge of Airflow, NoSQL databases (Neo4j), real-time data streams (e.g. Dataflow, Spark streaming or Kafka stream) would be a plus.
- Expertise with common algorithms for supervised and unsupervised learning, like LDA, PCA, SVM, RandomForests, and K-Means. Experience with graph-based algorithms in machine learning would be a plus.
- Ability to implement best practices in software development.
- Ability to complete an end-to-end data science project, from data ingestion to deployment of a REST API / model / task;
- Excellent written and verbal communication skills with proven fluency in English.
Benefits
- Hybrid & Remote work arrangements.
- Lunch vouchers.
- Health Insurance.
- Flexible working hours.
- Bi-monthly company wide social and team building events.
- Training and Development opportunities.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow APIs Big Data BigQuery Dataflow Data pipelines Docker Flask GCP Git Hadoop Kafka Kubernetes Machine Learning ML models Neo4j NoSQL Pipelines Python REST API Spark SQL Statistics Streaming Unsupervised Learning
Perks/benefits: Career development Flex hours Health care Lunch / meals Team events
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