SNKE – Data Scientist

Project title: Technical Assistance for Strengthening Training and Research Capacity of the Centre for Labour and Social Training and Research (ÇASGEM)

Brief description of the project: The purpose of this three-year EU Technical Assistance Project for “Strengthening Training and Research Capacity of the Centre for Labour and Social Training and Research (ÇASGEM)” is to strengthen the institutional capacities of ÇASGEM, relevant stakeholders, social partners and NGOs through adapting training modules in occupational rehabilitation; delivering trainings for trainers; designing virtual training scenarios; carrying out awareness-raising activities; conducting researches; and organizing study visits, workshops and seminars in the field of occupational health and safety, especially in construction, mining, chemical and metal sectors.

Intervention 10: Research on Occupational Accident Prediction Model

Position: SNKE – Data Scientist

Resources: Up to 33 Working Days

Working Period: Jun 2022 – Nov 2022

Tasks:

• Literature review.
• Actively involved in data acquisition, mining and cleaning, and analysis processes.
• Participating in the technical meetings with the relevant institutions for data acquisition and collaboration.
• Participating in the working group meetings to discuss the plans and progress.
• Programming models and/or algorithms for accident prediction.
• Preparing the final report presenting results from the research.

Required Qualifications:

· At least 10 years of professional experience.

· Post graduate degree in Statistics, Computer Science or related fields.

· Excellent written and verbal language skills in English and Turkish.

· Excellent knowledge of Python programming language and its libraries.

· Good writing and reporting skills.

Following Qualifications would be an advantage:

· At least 5 years of experience in data mining and data analysis.

· PhD in Statistics, Computer Science or related fields.

· Prior experience in working with SSI and its databases.

· Experienced and qualified in OHS statistics, especially at EU (ESAW) level, would be an asset.

· Prior experience in working with labour statistics and/or social security statistics.