— 5+ years of experience in statistical analysis and ML;
— Strong programming skills in Python (TensorFlow/PyTorch include);
— Google cloud platform or similar cloud infrastructure, data version control tool, and dynamic data repositories implementation;
— Supervised learning methods;
— Unsupervised learning methods;
— Experience with Image processing: segmentation, denoising, inpainting, super-resolution;
— Experience with time series: classification, switch point detection, forecast, anomaly detection;
— Experience in leading a team;
— Deep knowledge in building and deploying unusual solutions;
— Problem solving and analytical skills;
— Previous experience in project management;
— Skill of recognizing and managing stakeholders;
— Desire and ability to structure processes;
— Critical thinking;
— Ability to communicate clearly and confidently;
— Advanced English level (speaking and writing).
— Degree in Computer Science, Applied Mathematics, Statistics or related quantitative fields;
— Experience with Remote Sensing.
— Transparency in communication between the company and an employee;
— Paid vacation (20 business days) and paid sick leave;
— Opportunity to join advanced, innovative projects;
— Accounting as a service;
— Competitive salary;
— Friendly working environment;
— Language classes.
— Manage delivery and methodology adoption with team members and business stakeholders;
— Bild roadmaps for data scientists, based on needs and capabilities of the business strategy;
— Implement new solutions and support project using your senior expertise;
— Be the soul of the team to collaborate them by agile methodology;
— Monitoring technology industry trends, coworking with external researchers.
Sciforce is looking for an experienced Lead in Data Science. Our EU-based partner is a rapidly growing startup. You will be a leader of a talented team that trains and gives technological support to its members. It’s your chance to lead a project dedicated to Data Science-driven solutions for Smart Farming.