Data Analyst / Аналітик даних
48 113 ₴ UAH
В офісі/на місці
Повна зайнятість
The HALO Trust is an Equal Opportunity Employer and does not discriminate against any applicant for employment because of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. The HALO Trust is committed to a culture that is both diverse and inclusive and we seek to recruit, develop, and retain the most talented people from a diverse candidate pool. The HALO Trust is committed to ensuring that it provides a safe and trusted environment which safeguards and promotes the welfare and well-being of anyone who comes into contact with, or is part of, the Charity, with a zero-tolerance approach to behaviours which challenge this.
Description
The Remote Sensing Officer (Data Analyst) will process and analyse imagery from a range of remote sensing sources, focusing on developing machine and deep learning activities. The Data analyst will apply advanced Remote Sensing and Data science techniques to develop algorithms to extract features of interest (trenches and fighting positions that may indicate the presence of mines). They will produce information products for use by HALO’s clearance and survey teams in the field. The role is primarily office based.
Requirements
Description
The Remote Sensing Officer (Data Analyst) will process and analyse imagery from a range of remote sensing sources, focusing on developing machine and deep learning activities. The Data analyst will apply advanced Remote Sensing and Data science techniques to develop algorithms to extract features of interest (trenches and fighting positions that may indicate the presence of mines). They will produce information products for use by HALO’s clearance and survey teams in the field. The role is primarily office based.
Requirements
- Ukrainian citizen
- Fluent spoken and written Ukrainian.
- Excellent spoken and written English.
- Proficiency in training and building machine learning models using satellite (EO, IR, MS, SAR) data, from different remote sensing sources
- Strong programming skills in Python (opencv, scikit learn, xgboost, rasterio, numpy, pandas, geopandas) required; other programming languages such as IDL or R desirable
- Proficiency with software such as ENVI, SNAP, Google Earth Engine, Erdas Imagine, Remote View, Socket GXP desirable
- Familiarity with the Esri suite of products, such as ArcGIS Pro desirable
Responsibilities
- Request and download Satellite imagery and SAR data to meet collection requirements
- Process Satellite and UAV sensor data (optical (EO), Infrared (IR), Multispectral (MS), LIDAR, SAR) using Remote Sensing techniques, to identify and capture features of interest and create information products.
- Conduct research projects to improve remote sensing methodologies and applications, capturing different features from different sensor types.
- Develop algorithms and techniques for image classification and feature extraction.
- Analysis of high-resolution aerial and satellite imagery to identify explosive objects and indicators of minefields.
- Collaborate with other operations departments to develop remote sensing capture and processing capabilities.
Nice to have
- University degree in Remote Sensing, Computer Science, Data Science, GIS, or related fields; OR equivalent, relevant experience analysing imagery in a data science role
- Experience in managing large datasets
- Excellent interpersonal and analytical skills with meticulous attention to detail.
- Ability to work effectively in a team in a culturally diverse environment.
- Ability to work well under stress and in a fast-paced environment.
- Excellent time management skills and ability to multi-task and prioritize work.
- Strong organizational, planning, and problem-solving skills.
- Adherence to and adherence to HALO values and standards both at work and outside.
- Commitment to HALO Trust principles.
Working conditions
- Office work in Brovary;
- Labor law contract;
- 24 days of annual leave;
- Schedule - 5/2 , 08.00 - 17.00 (1 hour break);
- English classes;
- Shuttle bus;
- Salary - 48113,00 (gross).
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