Responsibilities as Data Scientist
• End to end project execution starting from data exploration to insight generation and recommendations
• Processing, cleansing, and verifying the integrity of data used for analysis
• Device predictive and descriptive analysis techniques and machine learning algorithms in various projects
Skill Set
• Strong Analytical and problem-solving skills with an emphasis on product development.
• Experience using statistical computer languages (SAS,R, Python, SQL, 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 and statistical tests ) and experience with applications.
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees and text mining and text classification models
• Experience querying databases and using statistical computer languages: R, Python and SLQ
• Experience creating and using advanced machine learning algorithms and statistics: regression, scenario analysis, clustering, decision trees, neural networks
• Experience with distributed data/computing tools: Spark, MySQL