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Job Description:
Job Description: Data Scientist (Mid-Senior Level)
Role Purpose:
To lead and provide expertise in the areas of computer vision and time series analysis while mentoring junior data scientists. The role ensures the design and implementation of cutting-edge models that align with company objectives and integrates seamlessly into broader product ecosystems.
Key Accountabilities:
Guide and nurture two junior data scientists, ensuring their professional growth and alignment with team goals.
Design, develop, and implement state-of-the-art computer vision and time series analysis models, maintaining the highest standards of accuracy and efficiency.
Ensure that the developed models are optimized and ready for deployment in various environments, particularly cloud and edge.
Stay updated with the latest methodologies in machine learning, AI, and data science to keep the company at the forefront of technological advancements.
Main Activities: Regular mentorship sessions with junior data scientists, including code reviews, project guidance, and knowledge sharing. Designing and testing computer vision models like segmentation, detection, and tracking. Conducting advanced time series analysis and applying transformer-based classification techniques. Collaborating with cross-functional teams to understand needs and integrate data science solutions. Ensuring scalability, robustness, and efficiency of models for deployment. Continual learning and application of the latest in the field to our operational challenges.
Main Interfaces :
AI Roadmap manager:
Regular interactions for steering the projects and defines new initiatives
Junior Data Scientists:
Regular interactions for guidance, mentorship, and project collaboration.
Product Teams:
Collaborate on integrating data science solutions into broader company products and objectives.
Digital Trasformation & IT Teams:
Work closely for model deployment, ensuring optimal performance in various environments.
Technolgy & Innovation Unit:
Stay updated with the latest in technology and ensure its effective integration into ongoing projects.
Qualifications:
- Master’s degree in Computer Science, Data Science, or a related field.
- Professional certifications in data science or relevant domains are a plus.
Level of Experience:
- Mid-Senior level with [3-7 years] of professional experience in data science.
- Proven track record of leading or mentoring junior team members will be a plus
Technical Skills:
- Proficiency in computer vision models including segmentation, detection, and tracking.
- Demonstrable expertise in modern time series analysis techniques.
- Python Libraries: Knowledge of common data science libraries such as NumPy, Pandas, and Scikit-learn.
- Data Visualization & UI Tools: Experience or familiarity with tools like Matplotlib, Seaborn, Streamlit, or similar for data visualization and interactive applications.
Languages:
- English: Full professional proficiency
- Italian will be a plus
IT Skills:
- Advanced knowledge in PyTorch.
- Familiarity with cloud deployment platforms and on-edge devices.
- Understanding of common IT protocols and networking.
Soft Skills:
- Strong mentorship and leadership qualities. If the candidate has already produced teaching material on any channel, please provide such information, it will be a plus
- Excellent communication and collaboration abilities.
- Proactive problem-solving approach.
- Adaptability to evolving technologies and methodologies.
Other:
- Any publications, presentations, or contributions to the data science community will be highly regarded.
- Participation in data science competitions or open-source contributions is a plus.
Seniority: Senior