Data Scientist II — Advanced Analytics & Modeling

IntelliGenesis LLC®; Augusta (GA); On-site; USD 43,000 - 95,000; Full time

Job summary

IntelliGenesis LLC® is seeking candidates with strong data science, statistics, and programming skills to design and implement machine learning methods for large datasets. Successful applicants will translate mission needs into technical requirements and communicate findings to non-technical stakeholders.

Minimum two or more field disciplines, ability to work with diverse data states, and a commitment to rigorous analytic practices are required. U.S.

Qualifications

• Degree fields include Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science.
• A DS certificate can compensate broader degrees.
• Three years with Bachelor’s or five years with Associate’s required.

Responsibilities

• Employ combinations of Foundations, Data Processing, and Modeling to analyze large datasets.
• Devise strategies for extracting meaning and value from large datasets.
• Make principled conclusions using math, statistics, CS, and domain knowledge.
• Develop qualitative and quantitative methods for characterizing datasets in varied states.
• Translate analytic questions into technical requirements for data analysis.
• Communicate complex technical information to non-technical audiences.
• Make informed recommendations on technical solutions considering evolving data capabilities

Skills

Data science

Machine learning

Programming (Python)

Statistical analysis

Data management

Data mining

Data modeling

Artificial intelligence

Software engineering

Designing/implementing ML

Education

Bachelor's degree in Mathematics/CS/Statistics

Certificate in Data Science

Associate's degree + DS certificate

Tools

Python

Job description

IntelliGenesis LLC® is seeking candidates with strong data science, statistics, and programming skills to design and implement machine learning methods for large datasets. Successful applicants will translate mission needs into technical requirements and communicate findings to non-technical stakeholders.

Minimum two or more field disciplines, ability to work with diverse data states, and a commitment to rigorous analytic practices are required. U.S.