Strong problem-solving skills with an emphasis on product development.
Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies and techniques.
We re looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master s in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
- Coding knowledge and experience with several languages: C, C++, Java,
- JavaScript, etc.
- Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
- Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
- Experience using web services: Redshift, S3, Spark, etc.
- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
- Experience analyzing data from 3rd party providers: Google Analytics, Crimson Hexagon, Facebook Insights, etc.
- Experience visualizing/presenting data for stakeholders using different tools.
- Working knowledge of message queuing (Kafka or Google Pub/Sub), stream processing, and highly scalable data stores.

Data Scientist

Job Description

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