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Data Scientist

Dallas, TX, United States

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Responsibilities

Analyze raw data: assessing quality, cleansing, structuring for downstream processing

Design accurate and scalable prediction algorithms

Collaborate with engineering team to bring analytical prototypes to production

Generate actionable insights for business improvements

Qualifications

Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)

At least 1 - 2 years' of experience in quantitative analytics or data modeling

Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms

Fluency in a programming language (Python, C,C++, Java, SQL)

Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)

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