Data Scientist

Saxon Global; Fort Mill (SC); On-site; USD 90,000 - 130,000; Full time

Job summary

A fast-growing IT consulting firm in Fort Mill, South Carolina is seeking an analytics specialist. The role involves improving organizational performance through innovative analytics, identifying business opportunities, and developing models to address complex issues. Candidates should be skilled in R and SAS, with a strong background in data science and collaborative skills. This position is ideal for individuals looking to make a significant impact within a dynamic team.

Qualifications

• Experience with R and SAS for analytics.
• Strong understanding of data science methodologies.
• Familiarity with Hadoop for data handling.

Responsibilities

• Improve organizational performance through innovative analytics.
• Identify business problems that analytics can solve.
• Develop analytics models to address business challenges.
• Collaborate with Data Engineers for optimal data sourcing.
• Cultivate data science skills within business teams.
• Demonstrate strong teamwork and creative problem solving to drive impact.

Skills

R

SAS

Data Science

Hadoop

Job description

Saxon Global is one of the fastest growing Inc 500 Companies in the US, providing enhanced IT consulting, and engineering solution services.

Job Description

• Improve organizational performance through the application of original thinking to existing and emerging analytic methods, processes, products and services, and employ sound judgment in determining how innovations will be deployed to produce return on investment.
• Working with business stakeholders identify business problems, opportunities and/or initiatives for which analytics models may provide insights that can contribute to or drive the development of an approach or solution.
• Conceptualize, design and develop analytics models in addressing complex business problems, discovering insights and identifying opportunities that are of value to internal and external business stakeholders, typically using a hypothesis-driven approach.
• Working with Data Engineers determine how to best source data, including identification of potential proxy data sources, and design business analytics solutions, considering current and future needs, infrastructure and security requirements, load frequencies, etc.
• Where appropriate help seed data science capabilities within business functions, essentially developing “citizen data scientists” within the business teams.
• Show strong team building and creative thinking skills, and a desire to “make a difference”.

Qualifications

R ,SAS, Data Scientist, moduler, Hadoop, data scientist

Additional Information

All your information will be kept confidential according to EEO guidelines.