Tapad - Sr. Data Scientist - Adtech/Identity (Remote)

Company Description

Position is open to Remote candidates in the US or Canada. Must be able to work starting around 9am EST or earlier to connect with teammates in Oslo, Norway.

As a leader in consumer data and identity-based marketing solutions, Experian Marketing Services is improving the business and consumer experience by offering a complete identity solution. We’re doing so through a clearer view across the digital customer buying journey and with strong acquisitions of leading AdTech and MarTech providers with the most recent being Tapad, a leading digital identity resolution provider.

Founded in 2010, Tapad cracked the code on cross-device marketing technology. Our groundbreaking, proprietary technology assimilates trillions of data points to find the relationship between smartphones, desktops, laptops, tablets, and connected TVs. Ten years later, we are processing data at petabyte scale, with an engineering team that comprises roughly half of our entire organization. When you work with us, you matter, and your work matters.

We are thrilled to share that FORTUNE has named Experian one of the 100 Best Companies to work for. In addition, for the last five years we’ve been named in the 100 “World’s Most Innovative Companies” by Forbes Magazine.

Job Description

Small Teams; Big Data

Our Data Scientists are responsible for turning new ideas into innovative products. As a Senior Data Scientist, you will lead critical work programs, actualizing your research and solutions into concrete commercial products and services.

You will leverage cutting edge technologies and techniques to impact our core intellectual property and commercial products. This includes, but is not limited to, machine learning, deep learning, NLP, Google Cloud AI Platform, BigQuery, TensorFlow Extended, and Kubeflow Pipelines. 

Technologies we use at Tapad (don’t worry, we’ll teach you):

• Python, SQL, Scala
• Spark, SparkML, AutoML, SciKit Learn, BigQuery ML, Airflow, etc.
• Google Cloud Platform (GCP), Tensorflow Extended (TFX), BigQuery

A day in the life as a Tapad Senior Data Scientist:

• You will use machine learning (e.g., deep learning), clustering, statistical modeling, and other advanced techniques to infer connections from petabytes of data
• Employ predictive modeling, data mining, graph algorithms, and other data science techniques to contribute to and enhance our cross-device identity resolution portfolio
• Design experiments and apply appropriate metrics to measure the impact of the developed models
• Lead projects from ideation through research and development to productization 
• Partner with other data scientists and engineers to turn various machine learning, clustering, and statistical solutions into viable and scalable products 
• Collaborate with product managers and business partners to understand market needs and identify new opportunities for Tapad

Qualifications

We are looking for candidates who meet some of the following qualifications:

• Ph.D. in a Quantitative Discipline (e.g. Computer Science, Engineering, Mathematics, Statistics, Physics, Chemistry, etc.) or 6+ years of equivalent experience
• 6+ years of experience as a Data Scientist, specifically in applying Machine Learning techniques, advanced analytics, and statistical modeling
• Must have 1+ years of experience in the advertising technology or marketing technology industry
• Experience in productionization of Machine Learning research results, and ML project lifecycle management
• Proven track record of leading projects from ideation through solution to implementation 
• Experience working with large data sets using SQL, Spark, Hadoop, or MapReduce 
• Understanding of programming concepts and experience with programming languages, such as Python, R, Java, Scala, MATLAB
• Strong communication skills both verbal and written
• Experience in working on large-scale, distributed system environment(s)

Culture at Experian

Our uniqueness is that we truly value yours.

Experian's culture, people, and environments are key differentiators. We take our people's agenda very seriously. We focus on what truly matters; diversity and inclusion, work/life balance, flexible work, development, engagement, collaboration, wellness, rewards & recognitions, volunteering... the list goes on!

Perks

• 4 weeks of vacation to start, five sick days and two volunteer days (plus eleven paid holidays)
• Competitive pay and comprehensive benefits package
• Flexible work schedule and relaxed dress code