Position: Data Scientist
Company: CustomerTimes. Corp
Experience required: 3y
English level: upper

About the position
Our mission is to integrate personalization into the TV customer experience. This role will be critical in expanding personalization within the TV application. The projects will ensure that customers see the most relevant content for them. Projects this role could be working on include:

-	Re-developing TV’s in-app search engine
-	Enhancing TV’s in-house recommendation engine
-	Developing customer behavior segments
-	Further developing in-app personalization features. 
-	Video and audio analysis

Our environment is complex, highly elastic, based on some of the latest and greatest cloud native technologies and very fast paced.

Your team will be:
●	Enabling a proper enterprise Data Lake in AWS
●	Building models and tools to get value out of the mass amounts of data we have in our environment
●	Enabling the best, most personalized and resilient customer experience possible
In order to be successful in this role, you will need to be…
●	Highly motivated, driven & hard working
●	Not afraid to fail and comfortable working independently and with a team
●	Comfortable working with massive datasets in real time and batch processing with superior analytics skills
●	Comfortable talking to and working with Senior Executives
●	Apply data mining techniques, statistical analysis, and build high quality prediction systems integrated with our product. Doing ad-hoc analysis and presenting results in a clear manner.
●	Processing, cleansing, and verifying the integrity of data used for analysis
●	Enhancing data collection procedures to include information that is relevant for building analytic systems
●	A team player. We have a great group of diverse folks working together in harmony.  Big egos and “super heroes” need not apply.
Skills - Experience and Requirements
You would be considered a great fit for this role if you have the following:
●	Bachelor’s degree in Applied Math, Statistics, Data Science/Analytics, Engineering, or a related technical degree.
●	Proven ability to learn things quickly and stay up to date on breakthroughs in Data Science techniques.
●	Experience with at least one of the following programming languages: Python, R, or Golang
●	Comfortability with manipulating data using Python or SQL.
●	Experience with common statistics methodologies such as clustering, regression, forecasting, classification, regularization, resampling, etc.

These qualifications would make you stand out among other applicants:
●	Experience with recommendation engines (item/content-based filtering, matrix factorization, LSTM/RNNs, etc.)
●	Experience with LTR (Learning-To-Rank), Gradient Boosting for Search, Tensorflow-Ranking, or other algorithms associated with optimizing search.
●	Experience with Apache Solr, ElasticSearch, or other search tools.
●	Great communication skills - someone who is passionate about evangelizing the value of
advanced data science capabilities.
●	Experience with some machine learning methodologies such as Neural Networks, SVM, Random Forest, Natural Language Processing.
●	Experience with AWS - Sagemaker, Athena, S3, and RedShift.
●	Master’s Degree and/or Ph.D. in Applied Math, Statistics, Engineering or a related field