Research Data Scientist

2 weeks ago


Abingdon Oxfordshire, United Kingdom Abs Data Full time

Data Scientist – Machine Learning, Computer Vision
About Us We are a team of passionate individuals from 15 countries, developing ground-breaking biological technologies designed to sustainably and safely control insects that transmit diseases, and destroy crops. We do this work to improve lives and livelihoods around the world in the face of growing threats that insects pose to human health and the global food supply.
We are strongly committed to a set of values and principles and foster a culture of trust, respect, creativity, and accountability. Click to read about our principles, and click to read our CEO’s blog on trust and our corporate culture.
Initially this will be a 9 month contract, however we do envisage that the requirement will continue beyond this period. You must already be operating as an expert-level data scientist, and have at least 1 year of professional experience in computer vision projects.
This is a stand-alone role, and so you will need to demonstrate the experience and knowledge to design and execute end-to-end projects. This will be a hybrid role, with part time of your time spent as required, working at our Abingdon facilities in Oxfordshire.
As an expert in image, video analysis and machine learning techniques with focus on deep learning, you will combine your data with biological observations to build complex decision-making and pattern recognition systems. Working closely with the Oxitec global data team and the R&D teams you will generate and deliver decision-facilitating tools to key internal and external stakeholders.
You will be joining a dynamic project team dedicated to the successful deployment of Oxitec’s Friendly insect technology in multiple locations. This is an exciting role in a fast-paced environment, working on high-impact projects, with outstanding professionals around the world. Design, development and rigorous testing of machine learning models for image and video analysis;
Development of end to end data projects, including experiment set up with R&D teams, building ELT/ETL process, neural network architectures and final insight;
Writing reusable and well-structured machine learning code with clear documentation;
Collaboration with the field, R&D and data teams closely to bring additional relevant data into the system;
Master’s level or equivalent experience in Computer Science, Machine Learning, Statistics, Applied Mathematics or related fields;
Demonstrated professional experience of working with computer vision and machine learning techniques;
Advanced skills in visualization, preferably Power BI;
Intermediate to advanced understanding of geospatial data;
Fluency in English (written and spoken), and strong problem-solving skills are essential;
Data #Scientist #Machine #Learning #Computer #Vision


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