Job Description

Glodaris is a Global independent consultancy firm focusing on ICT, Lean Manufacturing System, Lean Six sigma Services, Data and Information Management, Data collection, Bigdata, Research and Innovation (R&I). We serve the private-sector, the public sector, the world’s top companies, countless new ventures, and governments and non-governmental organizations (NGO).

We are recruiting to fill the position of a Data Science/ Machine Learning Manager.

Responsibilities

• 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