Over the past decade, Nommon has been a pioneer in the application of big data to the analysis of travel demand. Our Mobility Insights solution processes and analyses anonymised mobile network data and other geolocation data from mobile devices to provide high-quality mobility indicators (e.g., origin-destination matrices). An ambitious research and development strategy has put Nommon at the forefront of innovation in the mobility analytics market and has led to continuous growth.<\/p>\n
We are looking for Mobility Analytics Data Scientists (0-5 years of experience) to join our Mobility Analytics department in Madrid. The selected candidates will deploy our industry-leading analytics solutions for a variety of clients (transport authorities, transport operators and concessionaires, transport consultants, etc.) in different geographical markets, including Spain, UK, Brazil, Mexico and Colombia, among others.<\/p>\n
The candidate will work alongside a multidisciplinary team to deliver projects for our clients. Responsibilities include:<\/p>\n
\u2022\u00a0Lead and implement transport planning and traffic engineering projects based on our solution portfolio.
\n\u2022\u00a0Collaborate with the product development team in the continuous improvement of Nommon\u2019s Mobility Insights solution, by assessing \u2022\u00a0client feedback and deriving recommendations and lessons learnt.
\n\u2022\u00a0Supporting business development activities (e.g., proposal writing).<\/p>\n
Required:
\n\u2022\u00a0MSc\/PhD in a relevant scientific field (Engineering, Mathematics, Physics, etc.), preferably with background in Transport Engineering.
\n\u2022\u00a0Outstanding academic record.
\n\u2022\u00a0Basic knowledge of concepts, principles and theories of transport planning and modelling.
\n\u2022\u00a0Strong mathematical and statistical background.
\n\u2022\u00a0Excellent analytical and numerical skills.
\n\u2022\u00a0Excellent English and Spanish oral and written communication skills.<\/p>\n
Nice to have, but not indispensable:
\n\u2022\u00a0Experience in transport planning and\/or traffic management projects.
\n\u2022\u00a0Experience\/knowledge in transport simulation software packages (e.g., VISUM, Aimsun, TransCAD, CUBE, etc.).
\n\u2022\u00a0Experience\/knowledge in the use of new data sources (e.g., mobile network data, GPS tracks, Bluetooth, public transport smart cards, etc.) \u2022\u00a0for the analysis of mobility and transport demand.
\n\u2022\u00a0Good command of Portuguese.
\n\u2022\u00a0Experience\/knowledge in mathematical programming and data analytics.
\n\u2022\u00a0Experience\/knowledge in data visualisation.<\/p>\n
\u2022\u00a0Annual salary: 32.000 \u2013 42.500 \u20ac.
\n\u2022\u00a0Flexible working hours and possibility to work remotely up to 2 days per week.
\n\u2022\u00a0Nice, well-located office in the centre of Madrid.
\n\u2022\u00a0Long term and stable position.
\n\u2022\u00a0Regular performance and salary reviews.<\/p>\n
<\/p>\n
February 2024<\/p>\n","protected":false},"excerpt":{"rendered":"
Over the past decade, Nommon has been a pioneer in the application of big data to the analysis of travel demand. Our Mobility Insights solution processes and analyses anonymised mobile network data and other geolocation data from mobile devices to provide high-quality mobility indicators (e.g., origin-destination matrices). An ambitious research and development strategy has put […]<\/p>\n","protected":false},"author":3,"featured_media":0,"template":"","meta":{"_acf_changed":false,"_joinchat":[]},"class_list":["post-35344","awsm_job_openings","type-awsm_job_openings","status-publish","hentry","empresa-nommon","job-type-indefinido","rango-salarial-32-000-42-500-e","localizacion-madrid"],"acf":[],"yoast_head":"\n