Chapter Leader Data Science

JOB DESCRIPTION

• Manage a team of data scientist & machine learning engineers
• Competency development – developing people through coaching and mentoring
• Successfully manage end to end delivery of data models (ML & DL) including architecture, infra. needs, resourcing, budgeting and prioritization
• Lead and Guide Machine Learning Engineers with model selection, feature extraction and model building
• Conceive, plan and prioritize data projects
• Delegating tasks to Junior Data Scientists in order to realize the successful completion of projects.
• Monitoring the performance of Junior Data Scientists and providing them with practical guidance, as needed.
• Keep up with current trends and build competency in team with PoC’s/Products
• Lead discussions with business stakeholders
• Build Business problem/need to Data Science problem statement and solution approach
• Align data projects with organizational goals

DATA SCIENTIST SKILLS / TOOLS / TECHNIQUES

• Strong organizational and leadership skills
• A knack for statistical analysis and predictive modelling
• Knowledge on Data Structures & Feature extraction
• Solid understanding of machine learning, deep learning and computer vision.
• Strong development experience in Python
• Good knowledge in python for NLP and Deep learning
• Outstanding supervision and mentorship abilities
• Knowledge on GCP or other cloud platforms will be an added advantage
• Excellent presentation skills to turn data into stories to persuade business leaders
• Excellent skills in conveying Data Model technique and results to non-technical users
• Adept at collaborating with a range of stakeholders to deliver data projects
• A true promoter of agile way of working

Renault Group is committed to creating an inclusive working environment and the conditions for each of us to bring their passion, perform to the full and grow, whilst being themselves.  
We find strength in our diversity and we are engaged to ensure equal employment opportunities regardless of race, colour, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, etc. If you have a disability or special need requiring layout of the workstation or work schedule, please let us know by completing this form.

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