Data Scientist

Pyramid Consulting, Inc; Mexico; On-site; PHP 3,745,000 - 7,491,000; Full time

Job summary

Pyramid Consulting, Inc. is seeking a data analytics professional to analyze raw data, cleanse and structure it for downstream processing, and design scalable prediction algorithms.

You will collaborate with an engineering team to bring analytical prototypes to production and generate actionable insights for business improvements. The ideal candidate has a quantitative background and 1–2 years' experience in analytics or data modeling, with fluency in Python, C/C++, Java, or SQL, and familiarity

Qualifications

• Bachelor's degree or equivalent experience in a quantitive 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)

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

Skills

Python

C/C++

Java

SQL

Education

Bachelor's degree in quantitative field

Tools

Cassandra

Hadoop

Spark

Tableau

Job description

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)