Job Description :
ROLE:Senior Data Scientist
Location :New York, NY Greensboro, NC - Chicago, IL ,Raleigh, NC,


Master’s degree required, PhD in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) preferred.
3+ years of industry experience outside of academia.
3+ years of experience manipulating big data using opensource frameworks. This means being familiar with tools such as Spark, Kafka, Hadoop, Impala and Luigi.
In addition, because we handle very large volumes of data, past work with cloud-based environment is required.
Knowledge of current modeling tools such as XGBoost or Vowpal Wabbit (or equivalent)
Ability to write high-quality Python code and familiarity with unit testing, source control and code review
Experience working in Agile teams and using Scrums to organize work
Demonstrated communication capabilities.
Ability to explain your insights to people beyond the data science team. This means knowing how to best craft your message and selecting the right visualizations
Good problem decomposition skills and autonomy when faced with solving data problems.

A proven ability deploying automated data processing pipelines.
A deep interest in Data Science and AI. A good measure of this would be competition participation (Kaggle or other) as well as participation in open courses
If you have code in the open domain (for example Github) or have written about AI/DS please share this with us
Some experience in Ad Tech or Marketing technology is a plus.

As a Senior Data Scientist, you will be tasked with solving data problems end to end. This means:
Being able to get an understanding of the multi-channel marketing optimization problem space
Performing exploratory data analysis to understand relationships, opportunities to influence outcomes and how to attribute cross channel outcomes
Specifying a research plan
Running experiments and extracting the necessary data
Being able to interpret the models being generated
Developing a proof of concept to verify your ideas
Assisting the Data Engineering team in setting your proof of concept live in our production environment
Closing the loop to make sure the proposed solution is performing as it should once it is released

Because this is a senior role, we’re looking for candidates that can carry out research in an autonomous fashion.