Senior Data Scientist & ML Engineer — Real-Time Insights

Compunnel, Inc.; New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading consulting firm is seeking a Senior Data Scientist / ML Engineer with over 7 years of experience to leverage data-driven insights and develop sophisticated machine learning solutions. The role demands collaboration with stakeholders to tackle business challenges through strong expertise in statistics and data analysis. Ideal candidates will have robust experience in Python or R, proficiency in predictive analytics, and a solid understanding of data visualization techniques. The position emphasizes client satisfaction while addressing complex datasets.

Qualifications

• 7+ years of experience supporting data science projects in a consulting environment.
• Strong understanding of statistics, machine learning, and data visualization.
• Experience working with large and complex datasets.

Responsibilities

• Drive data insights to uncover business opportunities.
• Analyze complex datasets using machine learning techniques.
• Collaborate with stakeholders to develop analytical models.
• Implement batch and real-time model scoring solutions.
• Support resolution of data-related issues.

Skills

Statistics

Machine Learning

Data Analysis

Python

R

Data Visualization

Problem-solving

Education

Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or related field

Master's degree in a relevant field

Job description

A leading consulting firm is seeking a Senior Data Scientist / ML Engineer with over 7 years of experience to leverage data-driven insights and develop sophisticated machine learning solutions. The role demands collaboration with stakeholders to tackle business challenges through strong expertise in statistics and data analysis. Ideal candidates will have robust experience in Python or R, proficiency in predictive analytics, and a solid understanding of data visualization techniques. The position emphasizes client satisfaction while addressing complex datasets.