Position: Data Analyst
Company: CustomerTimes. Corp
Category: Data Science
Experience required: 3y
English level: upper
Published: 2020-07-01T00:00:00+03:00

Our mission is to build the next generation, web scale platform for TV.  Our environment is complex, highly elastic, based on some of the latest and greatest cloud native technologies, and very fast paced. 

Requirements:
MS degree in Math, Engineering, Statistics or Computer Science
4+ years professional enterprise experience
Open to occasional travel for quarterly planning meetings and/or other key workshops
 
Technologies in our environment:
Here are some of the key technologies that make up our environment.  While we do not expect you to have a detailed understanding of each, but the more of these you are familiar with the better.

MUST HAVE Tableau or other visualization tool experience 
Strong SQL experience
ELK Stack / HDFS / Hadoop / Hive
Linux
AWS Big Data Tools: S3, Kinesis, Red Shift, Athena
Java, Python, R, SQL
Predictive Analytics
Kafka / Confluent
CI / CD and Cloud Native Computing (Docker, Kubernetes, Consul, Vault).

Your team will be:
Enabling a proper enterprise Data Lake in AWS
Engaging regularly with stakeholders to understand and implement business logic
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:
Feel comfortable working with massive datasets in real time and batch processing with superior analytics skills
Apply data mining techniques, do statistical analysis, and build high quality prediction systems integrated with our product. Doing ad-hoc analysis and presenting results in a clear manner.
Process, cleanse, and verify the integrity of data used for analysis
Enhance data collection procedures to include information that is relevant for building analytic systems
Perform data mining using state-of-the-art methods. Create automated anomaly detection systems and constant tracking of its performance.
A team player. We have a great group of diverse folks working together in harmony.