job description - Data Science / Machine Learning Manager
- Own machine learning products and roadmap
- Create vision for novel machine learning products
- Align stakeholders towards proposed product vision
- Understanding of machine learning metrics vs. business metrics
- Evangelize capabilities and successes of machine learning team within the company as well as in the wider ecosystem
- Hire machine learning talent who specialize across the machine learning lifecycle
- Collaborate and dive deep with product and business teams to identify potential use cases that can be solved with machine learning
- Understand how the business and its products and services work from the point of view of the customer
- Understand the business revenue streams and come up with original ideas for machine learning projects that improve the product or service, reduce costs, and automate manual processes
Tech Stack:
- Python
- SQL
- Excel
- Productivity, collaboration and communication tools
Requirement
Candidates should possess a Bachelor's Degree qualification.
Skills:
- Complete understanding of machine learning lifecycle from conception to production
- Written and verbal communication skills
- Interpersonal and persuasion skills to get buy-in from leaders, work with cross-functional teams
- Vision to create and collaborate on product features and roadmap with product and business managers
- Practical and theoretical understanding of machine learning and deep learning concepts, deployment and continual improvement of ML products
- Mentorship to individual machine learning contributors
- Program management alongside product and project managers
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About the company
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GLODARIS is a global consultancy firm focusing on, Lean Manufacturing Systems, Lean Six Sigma Services, Data and Information Management, Data collection, Bigdata, Geographical Information System, etc.