Senior Data Scientist

Synapse Analytics

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

Job requirements

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