Data Director

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

We have a simple belief — Unexpected Works. It means that the best idea is the one you never saw coming. The thing that catches you so off guard that you can‘t look away. And the only path to genuinely unexpected works is through creativity. Not just what passes for creativity because it answers a brief, looks the part and helps everyone sleep at night. But creativity that is foreign, surprising and interesting enough to cause jaws to drop and sales to soar. It’s having the fresh perspective and raw energy to bring something into the world that no one’s ever seen before. We’re talking about the courage to shake things up and maybe even tear a few things down. And knowing that what most would call the finish line is where the real work starts. We believe in people, product, and profit, in that order. For us, people always come first. They’re the soul of our agency. It takes amazing folks to make amazing work. That’s why we make sure everyone who comes through the door is as great as the people who are already here. It’s also why we constantly strive to build diverse teams where everyone brings something unique to the table. Because you can’t make the unexpected if you only work with the usual suspects. By bringing together diverse thinkers with different backgrounds and perspectives, we validate Bill Bernbach’s notion that an idea can turn to dust or magic, depending on the talent that rubs against it. So, come be part of the magic.

Responsibilities

• Apply broad skillset across data and analytics to understand business problems, create insights and envisage practical solutions in areas such as audience insights, measurement, test designs and evaluation
• Provide business solutions and optimization through various statistical and quantitative methods.
• Provide statistical models to support predictive analytics and deliver succinct presentations to all levels of the business as well as technical documentation to the wider team.
• Derive insights from data and communicate those insights to a non-technical audience through presentations and documentation
• Build a predictive modelling ecosystem and lead client conversations in data access, data ingestion and predictive modeling
• Build scalable backend solutions for automation of data processing
• Analyze and mash-up massive amounts of data to mine useful business insights

Qualifications

• A strong background in data strategy, data science, analytics, data engineering. Proven track record of distilling insights from disparate data and telling engaging data stories.
• Excellent communication skills - being able to both interpret and convey information in a clear, concise way with people from technical and non-technical background and use data to tell a story.
• Proficiency and experience in statistical modelling and machine learning techniques (feature engineering, regression, classification, segmentation etc.)
• A high level of proficiency with at least one programming languages used in data science (R/Python/SAS/SPSS Advanced Excel).
• Strong understanding of creative optimization, digital analytics platforms (GA4, Adobe Analytics), social media, iterative test and learn methods.
• Proficiency in mining large datasets. Prior experience with Digital Attribution, Marketing Mix Modelling or Econometrics and predictive analytics
• Understanding of media technology (ad-servers, DMPs) and exposure to CDPs
• Experience with visualization and dashboarding software (Tableau, Power BI)