Data Scientist (Level 3)

Overview

Data Scientist (Level 3) to join the team. This role will work closely with Business Analysts, Software Engineers, and team members to understand the business requirements that drive the analysis and design of quality technical solutions aligned with business and IT strategies and ensure compliance with the organization’s architectural standards. The role will work on data science, machine learning, analytics, and will be involved in major support issues.

Responsibilities

• Analyze data to drive business decisions and deliver analytics solutions.
• Collaborate with cross-functional teams to translate business requirements into technical specifications.
• Develop and deploy data science models and machine learning solutions.
• Support major analytics and data-related issues as needed.

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering, or related quantitative field
  • Minimum 5 years of analytics, data science, related IT experience, including:
    • 5 years of experience with programming in R or Python
    • 5 years of hands-on relational database and reporting experience including the ability to write SQL
    • 4 years of experience working with large databases to perform complex analysis
    • 4 years of experience in statistics and multivariate analytical techniques including multivariate regression, logistic regression, cluster analysis, design of experiments, machine learning, and decision trees
    • Experience with Google Cloud Platform – BigQuery, Vertex AI
• OR Master’s degree in Statistics, Mathematics, Data Science, Engineering, or related quantitative field
  • Minimum 3 years of analytics, data science, related IT experience, including:
    • 3 years of experience with programming in R or Python
    • 3 years of hands-on relational database and reporting experience including the ability to write SQL
    • 3 years of experience working with large databases to perform complex analysis
    • 3 years of experience in statistics and multivariate analytical techniques including multivariate regression, logistic regression, cluster analysis, design of experiments, machine learning, and decision trees
• Some experience with Google Cloud Platform – BigQuery, Vertex AI

Preferred

• Some experience with commercial analytic techniques including pricing, customer lifetime value, and churn modeling

Company

Golden Technology

Golden Technology was founded in 1997 with the goal of developing people and driving innovation. Our aim is to pair world-class technologists with amazing companies that are doing impactful work.

Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: IT Services and IT Consulting