Support product, sales, leadership and marketing teams with data insights
Mine and analyze data from company databases to drive optimization and improvement
Assess the effectiveness and accuracy of new data sources and data gathering techniques
Develop custom data models and algorithms
Use predictive modeling to enhance customer experiences and revenue generation
Coordinate with functional teams to implement models and monitor outcomes
Develop processes to monitor model performance and data accuracy

5-7 years of experience manipulating data sets and building statistical models
Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field
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.

Data Scientist

Key skills