Data Scientist

Scanntech IT; United States; Remote; USD 65,000 - 95,000; Full time

Job summary

Scanntech IT in the United States is seeking a data analytics professional to translate complex data into actionable insights and scalable predictive models. You will leverage strong collaboration skills to extract valuable insights from highly complex data sets and prepare them for production use.

Collaborate with product and engineering teams to prototype analytics, deploy solutions to production, and drive data-informed business improvements across the organization.

Qualifications

• Analyze data to extract insights and inform business decisions.
• Design scalable prediction algorithms for complex datasets.
• Collaborate with engineering to deploy analytics prototypes to production.
• Strong collaboration and problem-solving skills.

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

Predictive modeling

Machine learning

Clustering

Classification

Algorithms

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)