
תיאור המשרה
Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!
You will be part of Mobileye’s Data Product Management department that is responsible for Mobileye Data Products dealing with millions of data records and complicated data pipelines, emphasizing accuracy, efficiency and usability to Mobileye R&D teams and customer projects.
As a data analyst in the algorithm and data science team, you will be responsible for leveraging the massive amount of data collected by Mobileye fleets around the world for Smart Cities.
What your job will look like:
Create useful insights such as road conditions, traffic analysis, real-time hazards detection, as well as driver behavior analysis.
Interpret data, analyze results using statistical techniques and provide ongoing reports
Maintain the structure and documentation of the datasets for quick and smooth data access for our data consumers
Review generated data with critical thinking and cross-validation with external sources
Work closely with different business and marketing teams to prioritize and support decision making
Analyzing the performance and impact of marketing activity on business performance
דרישות המשרה
ll you need is:
B.Sc . in Computer Science / Information Systems / Industrial Engineering / Mathematics, Statistics or equivalent.
Requires a minimum of 2 years of relevant experience in data analytics, marketing research, statistics or mathematics or a related field.
Proven knowledge and experience in Python, data analytics libraries (pandas, numpy) – mandatory
Proven knowledge and experience in GIS. Process geospatial data. Familiarity with OSM objects – advantage
Marketing analysis experience - advantage
Strong business orientation and cross teams collaboration - mandatory
Mobileye
Jerusalem and Petach Tikva
Industrial engineering and management and software engineering
Full-time
Fourth year and graduates
Job Description
Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!
You will be part of Mobileye’s Data Product Management department that is responsible for Mobileye Data Products dealing with millions of data records and complicated data pipelines, emphasizing accuracy, efficiency and usability to Mobileye R&D teams and customer projects.
As a data analyst in the algorithm and data science team, you will be responsible for leveraging the massive amount of data collected by Mobileye fleets around the world for Smart Cities.
What your job will look like:
Create useful insights such as road conditions, traffic analysis, real-time hazards detection, as well as driver behavior analysis.
Interpret data, analyze results using statistical techniques and provide ongoing reports
Maintain the structure and documentation of the datasets for quick and smooth data access for our data consumers
Review generated data with critical thinking and cross-validation with external sources
Work closely with different business and marketing teams to prioritize and support decision making
Analyzing the performance and impact of marketing activity on business performance
Job Requirements
ll you need is:
B.Sc . in Computer Science / Information Systems / Industrial Engineering / Mathematics, Statistics or equivalent.
Requires a minimum of 2 years of relevant experience in data analytics, marketing research, statistics or mathematics or a related field.
Proven knowledge and experience in Python, data analytics libraries (pandas, numpy) – mandatory
Proven knowledge and experience in GIS. Process geospatial data. Familiarity with OSM objects – advantage
Marketing analysis experience - advantage
Strong business orientation and cross teams collaboration - mandatory
Mobileye
Jerusalem and Petach Tikva
Industrial engineering and management and software engineering
Full-time
Fourth year and graduates