Job Description
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
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
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