Jr. Data Scientist

Role: Jr. Data Scientist 
Location: Princeton, NJ 

The Jr. Data Scientist is responsible for executing the full scope of advanced analytic techniques with the objectives of creating a causal inference, predictions, and recommendations for improvements to business processes, and the metrics to monitor those improvements. This position requires a strong command of techniques and algorithms as well as a demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present these findings to an audience with varying levels of background in analytics. A career with Charter means you will work alongside exceptional people and be empowered to reach your professional and personal goals.

Advanced-level skills with relational databases, including SQL and utilizing data stored in complex schemas
Advanced-level logical and analytic skills
Broad experience and solid theoretical foundation on the modeling process using a variety of algorithms
Data profiling, distributions, confidence intervals, hypothesis testing
Data pre-processing, exploratory data analysis using a variety of techniques
Regression and classification using linear models, GLMs, and tree-based methods
Interpretation of model results, consideration of causality, treatment of multicollinearity
Strong synthesis and presentation skills
Ability to communicate results and recommendations to a wide variety of audiences
Basic understanding of data architecture, data warehouse, and data marts
Demonstrated ability and desire to continually expand skill set, and learn from and teach others

Experience with Hadoop, particularly Hive and Spark or Kafka
Experience with R,SAS, SPSS, Alteryx, Linux, Python(PyPi),Text analysis and mining

Desired candidates should be from applied Stats/Math or Computer Science background
Industry can vary from data heavy firm in Insurance, Healthcare and others that are heavily dependent on analytics
Actual professional experience with Data Science projects, building algorithms and working through the analytics life cycle.

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