Full-Stack Data Scientist – FREELANCE (smartworking + Rome)
OPPORTUNITA’
- PROJECT: For a well known multinational company active in the industrial sector we’re looking for an Full-stack Data Scientist with 3+ years experience in data engineering, being able to manage both the backend (data foundations) and the business requests and insights generation
- MAIN TASKS AND ACTIVITIES:
- Maintain/Improve the industrialised data pipeline (pyspark + airflow) for data filtering, cleaning and aggregation. Being able to expand the existing data pipeline with additional data sources.
- Manage individual projects regarding the optimal extraction, transformation, and loading of data from a wide variety of sources into data pipelines, as well as the creation and maintenance of data catalogues.
- Manage the identification, design, and implementation of internal process improvements: automating manual processes, optimizing data delivery, re-designing architecture for greater scalability (with documentation/confluence).
- Develop automated DQ quality rules (PySpark) with reporting and warming systems.
- Deploy resources to extract data features from complex datasets for data scientists and data analysts (python/pyspark).
- Orchestrate support to expose analytics & data via dashboards: either via kubernets + streamlit or via snoflake + powerBI.
- Design and develop solutions for data-related technical problems and data infrastructure needs surfaced by executive, analytics and design and development teams.
- Manage the implementation of changes to data systems to ensure compliance with data governance, protection, privacy, and security requirements
- Client: Multinational Firm operating in the industrial sector
- Location: remote working with few possible meetings on site in Rome
- Duration: 4-5 months + renew
- Effort: full time (5/5)
- Project Start Date: asap
- Collaboration Type: position for Independent Consultant and Freelance and for companies with specific competences as required
- Compensation: Daily Rate
PROFILO RICERCATO
PREVIOUS EXPERIENCES AND SKILLS:
- 3+ years experience in data engineering
- Familiarity with versioning control (git/bitbucket) & continuous integration tools (Jenkins)
- Have solid understanding of data structures and algorithms, specifically advanced statistics and machine learning
- Being able to fast pretotype and develop (python/jupyter), maintain and deploy (mlflow) statistical models (Scikit-Learn/PyTorch/TensorFlow) to support business activities in diagnostic/predictive/prescriptive problems
- Know how to create stunning visualizations of data insights and how to deliver thrilling presentations to non-tech savvy audience
- Have experience working in multidisciplinary and agile team
LAVORA CON NOI
Consindi mette in collegamento consulenti indipendenti ed esperti di settore con aziende di qualsiasi dimensione e industry. Il nostro pool di consulenti cresce ogni giorno e aiuta le start-up, le piccole e medie imprese, le società di consulenza e le grandi imprese ad avvicinarsi e gestire le sfide ed i cambiamenti.
Consindi opera con rapidità, offrendo consulenza eccellente e concentrandosi sui rapporti personali con tutti i partner commerciali con l’obiettivo di continuare un percorso eccezionale di crescita e diventare il più grande mercato europeo di consulenti nei prossimi anni
Consindi opera con rapidità, offrendo consulenza eccellente e concentrandosi sui rapporti personali con tutti i partner commerciali con l’obiettivo di continuare un percorso eccezionale di crescita e diventare il più grande mercato europeo di consulenti nei prossimi anni
