Senior Data Scientist

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
• Mine and analyze data from client databases to drive optimization and improvement of product development, marketing techniques and business strategies
• Build, optimize and maintain machine learning models
• Assess “health” of new data sources and soundness of data gathering techniques employed by the client
• Process, clean, and verify the integrity of data used for analysis
• Perform ad-hoc analysis and present results in a clear manner

• 
  Experience in one or more of the following programming languages: Python, R, MATLAB, Julia
• Experience in data wrangling of (messy) datasets using pandas or dplyr
• Experience in exploratory data analysis
• Experience in data visualization using one or more of the following packages/tools:

seaborn, matplotlib, plotly, ggplot, Tableau

• Knowledge of machine learning techniques and algorithms such as K-nearest

neighbors, naive bayes, support vector machines, random forest, logistic regression, etc.

• Awareness of machine learning concepts such as over-fitting and under-fitting, the difference between bias and variance, generalization capability of the prediction model to unseen data, feature engineering, etc.
• Excellent written and verbal communication skills for coordinating across teams
• A drive to learn and master new technologies and techniques