Geoapp srl

Geoapp offers data analytic services, software and training aimed at supporting clients in assessing geotechnical risk related to stability of natural slopes, pit slopes, tailings dams, water dams, sinkholes.
Geoapp analyzes and interprets data from very different technologies, including satellite InSAR, radar, laser, prisms, geotechnical sensors and microseismic networks, supporting clients in setting up alarms and in forecasting failures using those data and ultimately in taking decisions on how to mitigate geotechnical risk at their site.

The main offering of Geoapp includes:

• Design and implementation of integrated deformation monitoring programs with early warning purposes based on multiple technologies, e.g. satellite InSAR, radar, prisms, GNSS, geotechnical sensors, microseismic networks.
• Webplatforms to visualize and analyse monitoring data with alarming capabilities based on multiple sensors.
• Review of monitoring data: daily/weekly/monthly reports on monitoring data to identify anomalous behaviors and imminent failure conditions.
• Post-failure data review: data analysis to identify correlations between monitoring data and triggering factors.
• Analysis of changes in soil moisture, vegetation coverage and water levels of tailings dams from optical satellite images.
• Training on geotechnical monitoring programs in surface mining.
• Review of slope monitoring programs.
• Apps for the visualization on mobile devices of geographical data and for the notification of alarms from early warning systems.

Homepage: https://www.geoapp.it

Geoapp has a new opportunity for a junior to intermediate Data Scientist for our offices located in the heart of Florence, Italy, to support the growth of our geodata analytics business.

The ideal candidate’s favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Responsibilities

Employ the most appropriate and up-to-date methods and algorithms for solving specific problems and creating and improving geotechnical analytics tool.
Support the transition of existing Matlab-based tools, maximizing the degree of automation where possible.
Analyze raw data: assessing quality, cleansing, structuring for downstream processing
Design accurate and scalable prediction algorithms
Collaborate with engineering team to bring analytical prototypes to production
Write code (Python and/or Matlab) to implement new algorithms for the analysis and interpretation of monitoring data.

Qualifications & skills

Bachelor’s degree or equivalent experience in quantative field (Statistics, Physics, Mathematics, Computer Science, Engineering, etc.)
At least 1 – 2 years’ of experience in quantitative analytics or data modeling
Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
Fluency in a programming language (Python, C,C++, Java, SQL)
Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
Good organizational ability and time management skills – ability to deliver to time and budget, managing multiple priorities and with a strong attention to detail and work product quality
Ability to display initiative

Preference will be given to candidates with the following:

Previous experience working with large datasets
Previous experience with AWS cloud services
Previous experience working in a geographic environment (GIS) with georeferenced data

Your benefits will include:

Competitive benefits and remuneration packages
Opportunity to deepen your expertise in a dynamic work environment
Innovative and collaborative multidisciplinary projects
On the job training, mentoring and coaching
Global projects and travel opportunities
Complementary access to the gym and pool located on the roof of the company office building

Please send your letter of application and CV to the following address:

info@geoapp.it