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Data Scientist and Analytics Engineer Roles (Remote, USA)

Role overview

Qualifications

  • 2+ years of experience in data science or analytics engineering
  • Proficiency in Python and SQL for data analysis
  • Experience with machine learning and statistical libraries
  • Bachelor's degree in Data Science, Computer Science, or related field

Responsibilities

  • Transforming data into actionable insights
  • Collaborating with business stakeholders to develop predictive models
  • Enhancing existing analytics frameworks
  • Delivering high-quality dashboards that support decision-making processes

About the company

OmegaHires logo

OmegaHires

Staffing & Recruiting

We are a full service digital and enterprise technology staffing firm. We provide permanent and contingent workforce across a variety of digital and enterprise technologies - Frontend/UX development, Backend/Microservices, Integration technologies, data, DevOps, SAAS products and skills such as project management, testing, automation and more. We do responsible recruiting! We deploy a unique approach to sourcing, screening and assessment to match talent against your requirement. Our training and mentorship programs empower prospective candidates to hone their skills and deliver to ever changing expectations

Company details

Company typeStartup
IndustryStaffing & Recruiting
Company size11 - 50

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Job description

Data Scientist and Analytics Engineer Roles (Remote, USA)

Location: Remote, USA
Employment type: Contract
Indicative rate: $85–$95/hr

Join our team as a Data Scientist or Analytics Engineer, where you will play a crucial role in transforming data into actionable insights. You will collaborate with business stakeholders to develop predictive models, enhance existing analytics frameworks, and deliver high-quality dashboards that support decision-making processes. This contract position allows for remote work, providing you the opportunity to contribute to data-driven projects from anywhere in the USA.

Core skills

  • Data Science
  • Machine Learning
  • Python
  • SQL
  • Data Analysis
  • Predictive Modeling
  • Dashboard Development
  • Statistical Analysis

Required qualifications

  • 2+ years of experience in data science or analytics engineering
  • Proficiency in Python and SQL for data analysis
  • Experience with machine learning and statistical libraries
  • Ability to maintain and enhance predictive models
  • Experience in developing dashboards and data visualization tools
  • Strong analytical skills and problem-solving abilities
  • Bachelor's degree in Data Science, Computer Science, or related field

Preferred qualifications

  • Experience with Tableau or Power BI
  • Familiarity with cloud data platforms
  • Knowledge of AI-driven analytics solutions

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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