Job Description
) Data Scientist
• 5+ years experience in data collection and analysis -  We’re looking for someone with 5+ years of experience manipulating data sets and building statistical models, has possibly a Master’s or PHD 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: Areas like - GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
• Nice to have:  Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Experience with distributed data/computing tools, think areas like -  Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
• Experience visualizing/presenting data for stakeholders using software tools: Think areas like - Periscope, Business Objects, D3, ggplot, etc.
• Understanding and usage of relationship graph and event streaming platforms - like neo4j/Kafka
• Experience with Machine Learning algorithms and techniques
• Utilize predictive modeling to increase and optimize user/customer experiences via personalization.
• Ability to architect and document end to end data collection, analysis and feedback systems
• Understanding of entity detection/resolution
• Any NLU/NLP experience (preferably Dialogflow, Rasa, LUIS)
• Ability to lead others to build the architecture, reporting deliverables and implement feedback systems
• Strong problem solving skills with an emphasis on product development.
Excellent written and verbal communication skills for coordinating across teams
• 5+ years experience in data collection and analysis - We're looking for someone with 5+ years of experience manipulating data sets and building statistical models, has possibly a Master's or PHD 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: Areas like - GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
• Nice to have: Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Experience with distributed data/computing tools, think areas like - Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
• Experience visualizing/presenting data for stakeholders using software tools: Think areas like - Periscope, Business Objects, D3, ggplot, etc.
• Understanding and usage of relationship graph and event streaming platforms - like neo4j/Kafka
• Experience with Machine Learning algorithms and techniques
• Utilize predictive modeling to increase and optimize user/customer experiences via personalization.
• Ability to architect and document end to end data collection, analysis and feedback systems
• Understanding of entity detection/resolution
• Any NLU/NLP experience (preferably Dialogflow, Rasa, LUIS)
• Ability to lead others to build the architecture, reporting deliverables and implement feedback systems
• Strong problem solving skills with an emphasis on product development.
Excellent written and verbal communication skills for coordinating across teams   At least 5 years experience. Employment Type: Full-Time