Head of Data

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

• Augment a data science practice solving business problems and fueling creativity at DDB. Bring in leading edge thinking and work collaboratively with strategists, analysts and business leads to analyze, understand, and execute efficient approaches to interrogate data to distill insights and leveraging those insights for value.
• Direct with appropriateness of techniques and recommend relevant, innovative solutions and to partner teams. Utilize a multidisciplinary approach to data science problems combining technical expertise, data science knowledge, marketing, and business exposure
• Manage and execute evaluation of data availability. Prepare and clean data for custom algorithmic models. Navigate data storage infrastructure and create efficient pipeline to provide data inputs to bespoke algorithmic models.
• Explore and find the untold story with structured and unstructured data, manipulating large datasets. Plan and execute robust designs of experiments for recursive learning and optimization of content
• Replicate a track record of building machine learning models and recommender systems that become the core components driving our marketplace and recommending product/content in communications. Amplify use of data creatively, without compromising on analytical rigor.
• Fluency in media, retail, social datasets, and CRM databases. Python expertise required. R, Java, C++ all a plus. Familiarity with data storage and access infrastructure.
• Train and build an exemplary team skilled in advanced analytical skills, creative problem solving and nurture a culture of pronounced curiosity and collaboration

Qualifications

• Experience as a Senior Data Scientist with expertise building Machine Learning and advanced coding for analytics/user interfaces
• Experience in feature extraction, addressable audience creation, classification, cross validation, bootstrapping, Bayesian techniques recommender systems and marketplace optimization for media, creative and marketing content and offers.
• Extensive experience with Python. Java, R, SAS, SQL, Machine Learning and Deep Learning algorithms. Develop code in Python or, R, and SQL for modeling optimization, simulation, and statistical analysis. Familiarity and exposure to AWS S3, TensorFlow Hadoop, MapReduce Platform, and/or Apache Spark, Apache HDFS, Apache Kafka …. desirable
• University degree ideally in statistics, computer science or a related quantitative discipline; 10 years of experience in solving complex analytical and data science problems with copious amounts of data to apply Machine Learning, NLP, NLG, Computer Vision and build Interactive Data Visualization
• Advanced degree is a definite plus. Advanced Degree (MS/Ph.D) in Statistics or Predictive Analytics and/or Quantitative Methods or Computer Science or Information Systems