Head of Data Science

My client is a large manufacturing company.

JOB PURPOSE:

The Head of Data Science leads a team of DS and projects applying strong expertise in artificial intelligence through use of machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engines and services. The Head of Data Science collaborates with business partners to define the technical problem statement and hypothesis to test; develops efficient and accurate analytical models that mimic business decisions and incorporates them into analytical data products or tools with the support of a cross-functional team. He/ she is also responsible to define and implement DS standards and toolkit and build and nurture the Data Science community within and beyond the CoE.

KEY ACCOUNTABILITIES:

• Play a pivotal role in contributing and execution of the wider DS and AI strategy
• A genuine allrounder SME, leader who will be hands on with technical solutions, driving value and managing the data science team.
• Effectively communicate the analytics approach and how it will meet and address objectives to business partners
• Advocate and educate on the value of data driven decision making focusing on the “how and why” of solving problems
• Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers
• Expert in Developing data science capability and can advocate the importance of continuous learning to the data science team. knows how to develop data science capability across the wider organisation and in industry. Sets as a role model of best practice through demonstration of his own self-directed learning. You set the data science curriculum across the organisation.
• Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products
• Ensure consistent and high quality data science standards and tools are deployed and developed within the organization

QUALIFICATIONS & SKILLS:

• MS or PhD in Data Science, Computer Science, Engineering, Statistics.
• Programming languages knowledge, ideally in Python, R and SQL
• Minimum Experience and Domain knowledge
• 10+ years’ of relevant experience in a statistical and data science role
• Leading a team of data scientists and the go to SME for all things Data science.
• Working in a broader data team and cross functional collaboration with Data engineering, architecture and ML Ops.
• Should have Domain expertise and knowledge in Metal & Mining or Energy or a combination of both industries and can communicate the business benefit of data science products, championing and governing these across the organisation. Communicates relevant, compelling stories in the most appropriate medium and ensures that data governance and data ethics are embedded in organisational strategy. Expert in aligning data science priorities with wider organisational objectives – for example, budget.

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