Responsibilities:

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.


• Build tools/platforms to make it easier for others to leverage ML capability and spread culture of ML by doing brown bags etc.


• Mine and analyze data from company databases to drive optimization and improvement of support process, product development, sales opportunities and other improvements


• Assess the effectiveness and accuracy of new data sources and data gathering techniques.


• Develop custom data models and algorithms to apply to data sets.


• Use predictive modeling to increase and optimize customer experiences, revenue generation and other business outcomes.


• Develop company A/B testing framework and test model quality.


• Coordinate with different functional teams to implement models and monitor outcomes.


• Develop processes and tools to monitor and analyze model performance and data accuracy.

Qualifications: 

• Atleast 5 years of expereince.


• 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 4-8 years of experience manipulating data sets and building statistical models, has 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 programming languages like python, java 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.


• Familiarity with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.


• Experience visualizing/presenting data for stakeholders