Tapad - Senior Data Scientist (Remote)

Company Description

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

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 use Scala, in combination with large-scale data processing and open-source technologies, to build our device graph.  Across our engineering teams, we also use Scala, GCP, Spark, Kubernetes, Python, TypeScript, Angular, and anything else that helps us get the job done.  We're open-minded about new technologies, we're passionate about what we do, and we make time for everyone to learn and grow as the industry changes. Engineers at Tapad are approachable and ambitious people who think outside the box and solve big problems collaboratively.  Are you up for the challenge?

Job Description

Small Teams; Big Data

At Tapad, we look for individuals who are motivated by complex and challenging work. We want to work with people who share compelling solutions to those challenges, solutions informed by their unique experiences, passions, and expertise. 

We are looking for a Senior Data Scientist with profound experience in advertising and marketing technology to research and develop state-of-the-art algorithms and build models to support Tapad’s mission to create the world's largest identity graph. As part of Tapad’s Data Science team, 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. 

Tapad Data Scientists are responsible for turning new ideas into innovative products. With your deep industry experience, you will lead critical work programs, actualizing your research and solutions into concrete commercial products and services. In addition to collaborating with Tapad’s technologists, you will work closely with product managers and business stakeholders to understand our customers' needs, the broader addressable market and participate in identifying new opportunities.

When you work with us, you matter. We ask our employees to make an impact and feel it is only right to give a lot in return! This is why we prioritize a balanced work life to allow all our employees to enjoy the things that are the most important to them. We offer every employee a 401k with matching, paid maternity/paternity leave, PTO and sick days! We purposefully cultivate a strong and genuine culture which includes access to a free and open hierarchy every day. We hire deliberately, patiently and smart, making sure our team is full of individuals who can teach and learn from one another.

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