Director, Data Science

Key Skills

Facebook-Marketing, Java Programming, SQL, Azure, AWS, PowerBI, Tableau, R Programming, DataRobot

Job Description

The purpose of this role is to manage the collection and organisation of data to enable insight and analytics support for the business and our clients.

Job Title:

Director, Data Science

Job Description:

We are looking for an experienced data science leader to join our practice within Merkle’s Data Transformation team. The Director, Data Science will help grow the data science offering across both client and internal business outcomes in ANZ and APAC. Being the face of Merkle’s data science practice, you will be involved in all conversations with client executives to evolve their data analytics maturity. Specifically, you will:

• Be responsible for the overall growth of the data science practice, which includes presales and new business support, scoping and delivery of client outcomes, workforce management and capacity planning
• Manage projects end-to-end from scoping to delivery, deployment, presentation, and client relationships
• Be the data science and analytics thought leader for Merkle Australia, developing the craft, serving offering and proposition to meet evolving trends and market needs
• Lead and coach the data science team to develop both technical and consulting capability
• Have overall responsibility for the quality and direction of all data science projects – ensuring continued growth with clients that positions the Merkle data science team as trusted partners
• Contribute to best practice framework for model development, monitoring, and management lifecycle
• Continuously improve your knowledge to keep up to date with the latest trends in advanced analytics and technologies

A bit about you:

• 5+ years of professional experience in advanced analytics & data science practice leadership, craft development and deliverables
• A high-level of understanding in Data Science and ML problems, solutions methodologies, algorithms, and advanced analytics
• Diverse tools development and evaluation of a range of data science / machine learning models
• On-Cloud data management, engineering, analytics & insights, ML & AI services and platforms
• Experience in the application of Data Science for Marketing and Media problems, including audience and customer segmentation and analysis, lifetime value, marketing measurement, personalisation and propensity modelling
• Proven knowledge in computational methods, statistical analysis and experimental design
• Previously worked in technology or analytics consulting, presales support and project delivery
• Demonstrated experience in workforce management and capacity planning
• Demonstrated experience in managing the high-quality delivery of data science projects
• Ability to demonstrate strategic thinking, structured problem solving, agile planning and tactical delivery
• A communicator who distills complex concepts into digestible narratives and actionable recommendations
• A hunger to always be learning, and a passion for educating others about the job you love

Highly desirable

• Masters or PhD in a quantitative field
• Current certifications in Data Science & ML platforms e.g. AWS, Azure, GCP, DataRobot, Datiku
• Professional qualification(s), credentials in data science and analytics, or association membership
• Digital & social marketing & martech / adtech (GMP, Salesforce, Adobe) credentials

What’s in it for you:

• Real flexibility to work when and where you feel most productive with our ‘Be the Best You’ policy
• 5 weeks annual leave after 2 years of service and 3 whole company mental health awareness days off per year
• Access to our global online learning and development platform dentsu University
• Save money with great discounts on health insurance, gym membership, buying a car and travel!