Data Scientist

Softeta is a technology company that specializes in developing innovative software solutions.

We are seeking an experienced and driven Data Scientist to join our dynamic project team, working on cutting-edge solutions to help our client organize and label complex vehicle-related data, such as manufacturing hierarchies, engine specifications, mileage, and more. In this fast-paced environment, you will play a pivotal role in developing Python scripts to automate the data labeling process, ensuring accuracy and efficiency at scale.

This data will serve as the foundation for advanced AI and machine learning applications, including computer vision solutions and predictive analytics. With numerous upcoming projects spanning diverse domains, you will have the opportunity to shape innovative AI/ML implementations tailored to the unique needs of our clients.

Responsibilities:

• Creating sophisticated analytics solutions with an emphasis on automated data labeling;
• Collaborating with cross-functional teams from various departments to support the application and large-scale implementation of innovative data science and AI/ML concepts;
• Facilitating knowledge exchange, assisting with training initiatives, and enhancing awareness;
• Staying informed about the latest advancements in data science as well as AI/ML principles and theories to enable the business to make genuinely data-driven decisions;
• Documenting developed methodologies and processes, and regularly presenting outcomes to stakeholders throughout the organization.

Requirements

• Proficiency in Python, with hands-on experience in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn, etc;
• Proven experience in developing end-to-end ML/DL solutions, from data preparation to deployment.
• Solid understanding of SQL for data manipulation and querying;
• Familiarity with version control systems like Git;
• Proven ability to work collaboratively in multi-disciplinary teams.
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Experience working with cloud platforms (AWS, GCP, Azure) for machine learning and deep learning models is a plus.

Benefits

• Diverse and technically challenging projects;
• Training budget for professional and personal growth;
• Flexible working hours and hybrid or remote workplace model;
• Flexible schedule and Agile/SCRUM environment;
• Technical equipment which you can choose;
• Health insurance;
• Salary range - from 4000 EUR to 6500 EUR monthly before taxes.