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Advanced Analytics Specialist

2 weeks ago


Charlotte Bay, Australia beBeeDataScientist Full time US$105,000 - US$193,700
Job Description

Our organization seeks a highly skilled Data Scientist to contribute to the success of our business. This role involves working on a 6-month contract position in Charlotte, NC. The selected candidate will be responsible for implementing and customizing AI tools, analyzing large data sets, refining AI processes using statistical modeling and machine learning algorithms, collaborating with internal teams, and presenting findings to stakeholders.

Responsibilities:
  • Implement and customize AI tools to meet business requirements.
  • Clean, aggregate, and analyze large data sets to ensure successful integration.
  • Utilize statistical modeling and machine learning algorithms to refine AI processes and improve outcomes.
  • Collaborate with internal teams to understand project requirements and provide analytical support.
  • Present findings and insights to stakeholders, adapting communication to diverse audiences with varying levels of technical expertise.
Requirements

Applicants should possess the following skills and qualifications:

  • 2-3 years of IT experience in data-related disciplines.
  • Highly proficient in SQL.
  • Experience with Large Language Models (LLMs) and AI tool implementation.
  • Ability to handle large data sets and extract actionable insights.
  • Strong command of statistical techniques and machine learning algorithms.
  • Excellent communication skills for presenting complex ideas clearly to stakeholders.
  • Ability to work a hybrid work schedule with four days on-site and one day remote in a typical office environment.
Benefits

As a W2 employee, you will be eligible for the following benefits:

  • Medical insurance.
  • Dental insurance.
  • Vision insurance.
  • 401(k) with company matching.
  • Life insurance.
Preferred Skills

While not required, applicants with the following skills are preferred:

  • Experience with analytical and statistical software such as SAS or Alteryx.
  • History of using a data science toolkit such as Python or R.