Data Scientist

Location: Hybrid Work Model

Do you have a solid quantitative background and are you a storyteller with the ability to present data insights that can ultimately drive business value? We are looking for an entry level Data Scientist that has the ability to understand business challenges and creatively apply their analytics expertise to solve them.

Responsibilities:

• Enhance data collection procedures to include information that is relevant for building analytic systems
• Clearly and effectively present completed analysis with new insights and recommendations to the business partners
• Collaborate with different departments to build complex predictive models to support overall business objectives and business needs
• Leverage emerging technologies, open source tools, and harnesses new mathematical techniques
• Process, clean, investigate, and verify the integrity of data used for analysis
• Research and maintain awareness of best practices and techniques of statistical analysis
• Select features, build and optimize classifiers using machine learning techniques

What your qualifications may look like:

• One to two years of experience in a similar role
• Good understanding of machine learning algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Proficiency in using query languages such as SQL, Hive, Pig, etc.
• Good applied statistics skills, such as distributions, statistical testing, and regression
• Good scripting and programming skills in R, Java, Python, Perl, Bash, etc
• Preferred:
• A degree in quantitative fields such as Computer Science, Statistics, Applied Mathematics, Physics, Engineering, Economics and Analytics
• Experience with at least one common data science tool, such as R,SAS, Java, Python, MatLab, Julia, etc.

The values that Central lives by are Integrity, Relationships, and Excellence. Do you…

• Take responsibility for actions and outcomes
• Treat others with respect
• Care, because it matters
• Listen and respond
• Never compromise on quality
• Commit to learning and development

It is the policy of Central that all recruiting, hiring, training, compensation, overtime, job classification and assignment, facilities, promotions, transfers, employee treatment and all other terms and conditions of employment shall be maintained in a manner which will not discriminate against any person because of race, color, age, sex, national origin, ancestry, religion, marital status, military status, or disability. The applicant should respond to questions on this application in a way that will not divulge such information.