Manager, Data Science and Analytics (Remote)

American Medical Association; Chicago (IL); Remote; USD 80,000 - 130,000; Full time

Job summary

An established industry player is seeking a Manager for Data Science and Analytics to lead innovative projects that enhance marketing strategies and customer engagement. This role involves developing advanced data science models, collaborating with cross-functional teams, and ensuring data quality and governance. The ideal candidate will have a strong background in data science, predictive modeling, and machine learning, along with excellent communication skills to convey complex technical concepts to business audiences. Join a forward-thinking organization where your expertise will drive impactful decisions and shape the future of data analytics.

Qualifications

• Master's Degree in a related field with 5 years of experience required.
• Experience in data science and predictive modeling is essential.

Responsibilities

• Lead development of data science models to enhance marketing strategies.
• Collaborate with teams to identify data-driven business opportunities.
• Implement robust ETL processes for seamless data integration.

Skills

Data Visualization

Communication Skills

Predictive Modeling

Python

R

SQL

Machine Learning Algorithms

Statistical Analysis

Education

Master’s Degree in Data Science

Master’s Degree in Statistics

Master’s Degree in Mathematics

Master’s Degree in Information Technology

Job description

Manager, Data Science and Analytics (Remote)

AMA Insurance Agency Inc. seeks Manager, Data Science and Analytics at its facility located at 330 N Wabash, Suite 39300, Chicago, IL 60611.

JOB DESCRIPTION:

1. Lead the development and implementation of advanced data science models to enhance physician response to marketing, pricing strategies, customer segmentation, and predictive analytics.
2. Implement best practices for feature selection to enhance model accuracy and interpretability.
3. Develop and implement robust model validation processes to ensure the accuracy and reliability of predictive models over time.
4. Establish mechanisms for continuous monitoring of model performance, proactively identifying and addressing any deviations from expected outcomes.
5. Collaborate with cross-functional teams to identify business opportunities and challenges that can be addressed through data-driven insights.
6. Stay abreast of industry trends and emerging technologies in data science to continuously improve our analytical capabilities.
7. Oversee the design and execution of robust ETL processes to ensure seamless data integration across our marketing technology platforms.
8. Oversee with data engineers to optimize data storage, retrieval, and processing efficiency.
9. Implement data quality standards and ensure compliance with data governance policies.

REQUIREMENTS:

1. This position requires a Master’s Degree, or foreign equivalent, in Data Science, Statistics, Mathematics, Information Technology, or a closely related field, plus five (5) years of experience as a Systems Engineer, Data Scientist, or closely related occupation.
2. Additionally, the applicant must have employment experience with:
1. Utilizing data visualization packages to communicate the analysis;
2. Communicating technical and statistical concepts to business audiences;
3. Utilizing data science, predictive modeling, and pricing analytics to drive business outcomes and decisions;
4. Using Python, R, or SQL to retrieve data for analysis;
5. Utilizing advance data science models including supervised and unsupervised machine learning algorithms, regression, classification models, survival analysis, association rule mining, clustering.