Job description
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 here to read about our principles, and click here to read our CEO’s blog on trust and our corporate culture.
Purpose of the job
We are seeking a highly motivated, expert-level data scientist to join a dynamic project team dedicated to the successful deployment of Oxitec’s Friendly™ insect technology in multiple locations. Passion for contributing to the fight against vector-borne diseases and unwavering integrity are essential.
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.
This is an exciting role in a fast-paced environment, working on high-impact projects, with outstanding professionals around the world.
Responsibilities
- 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;
- Effective presentation of actionable insights to business and technical stakeholders;
- Preparation and presentation of proof of concepts, proposals and templates;
- Collaboration with the field, R&D and data teams closely to bring additional relevant data into the system;
- Keep up to date with latest relevant research.
Key Qualifications and Skills
- 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;
- A pro-active communicator who reaches out to ensure alignment with all stakeholders.
Behaviours Required
- Commitment to and passion for the Oxitec mission and values;
- A strong team mentality, yet confident working independently with limited direction;
- A can-do attitude to problem-solving;
- Flexibility and resilience in a constantly changing environment;
- Highly organized, able to deliver routinely against tight deadlines;
- Responsive to the needs of an international business working across different time zones, adapting working patterns in-line with business requirements;
- Positive, co-operative, and professional.