Manager, Data Science and Analytics (Remote)

Lensa; Chicago (IL); Remote; USD 139,000; Full time

Job summary

A leading company in IT Services is seeking a Manager of Data Science and Analytics to lead the development of advanced data models and collaborate with teams to drive data-driven business strategies. This remote position requires a Master's degree and significant experience in data science, with a focus on machine learning and data visualization.

Qualifications

• 5 years of experience as a Data Scientist or similar role.
• Proficiency with advanced data science models including machine learning.
• Strong communication skills for technical concepts.

Responsibilities

• Lead development and implementation of advanced data science models.
• Collaborate with cross-functional teams to identify data-driven opportunities.
• Oversee design and execution of ETL processes.

Skills

Data visualization

Python

R

SQL

Education

Master’s Degree in Data Science, Statistics, Mathematics, IT, or related field

Job description

Manager, Data Science and Analytics (Remote)

Join to apply for the Manager, Data Science and Analytics (Remote) role at Lensa.

Company: American Medical Association

Location: 100% Telecommuting permitted; resident of FL, IL, IN, or WI required.

Job Description

Lead development and implementation of advanced data science models to improve marketing, pricing strategies, customer segmentation, and predictive analytics. Ensure best practices for feature selection, model validation, and continuous monitoring of model performance. Collaborate with cross-functional teams to identify data-driven business opportunities and challenges. Stay updated on industry trends and emerging technologies. Oversee design and execution of ETL processes, optimize data storage and retrieval, and ensure data quality and governance compliance.

Requirements

• Master’s Degree in Data Science, Statistics, Mathematics, IT, or related field.
• Five (5) years of experience as a Data Scientist or similar role.
• Experience with data visualization, communicating technical concepts, and utilizing Python, R, or SQL.
• Proficiency with advanced data science models, including supervised and unsupervised machine learning, regression, classification, survival analysis, association rule mining, and clustering.

Additional Details

Salary: $138,715/year

Benefits: Details available at this link.

Applicants should apply via this application portal.

Job Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Industry: IT Services and IT Consulting