Data Scientist

Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Select features, building and optimizing classifiers using machine learning techniques
Mine and analyze data from client databases to drive optimization and improvement of product development, marketing techniques and business strategies.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Processing, clean, and verifying the integrity of data used for analysis
Perform ad-hoc analysis and presenting results in a clear manner

Experience in one or more of the following programming languages: Python, R, MATLAB, Julia
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.
Excellent understanding of machine learning concepts such as overfitting and underfitting, 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

Data engineering experience; e.g. SQL, Hadoop, Spark, cloud computing
Competitive programming experience (e.g. ACM, Topcoder, Code Forces, etc.)
Experience participating in machine learning competitions (e.g. Kaggle, Hacker Earth, etc.)
Strong statistics background
An up-to-date portfolio (on GitHub?) showing your experience in all of the above!