Be a part of team developing web scrapers for analytical purposes from many business areas
Optimize or create scraping module and integrate it with other components of a cloud-based application, based on already done work,
Support other team members with knowledge and experience to create robust and scalable scrapers
Lead the initiative of expanding Lingaro capabilities in the area of obtaining data from different sources – both in terms of expanding the knowledge about technology and supporting pre sales activities with merits,
Perform general assessment and analysis of existing solutions in terms of performance, computational complexity, and functionality.
Create set of recommendations and solutions to be implemented for the actual needs
Running end-to-end initiatives (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment)
Analyzing and interpreting the findings
Drawing conclusions and recommendations- including expected benefits and measuring ROI for enhancing business processes
Pre-sales activities
Requirements:
Experience in programming in Python or generally in the Data Science area
Very good knowledge of cloud technologies and Big Data area (Hadoop stack, HDInsight, Azure Databricks),
Strong experience in creating scrapers and working with databases, DWH, ETL
Knowledge of GIT, CI/CD
Experience in working with REST APIs
Basic knowledge of HTML,CSS
Very good command of English
Familiarity with theory behind various machine learning concepts
Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment
Basic skills in SQL
Knowledge of specific DS/ML/CV/NLP libraries
Pro-active and customer-oriented approach
Strong business acumen
Ability to come up with creative solutions to address customer problem
Team-player mindset
We offer:
Innovative and challenging projects
Freedom of action in the field entrusted
Experience in international projects in the scrum methodology
