Data Scientist/Machine Learning Scientist

This role will partner with business leaders, product teams, and technical stakeholders to identify opportunities where advanced analytics and machine learning can create strategic value. We are seeking a Data Scientist / Machine Learning Scientist to join a centralized AI and Data Science team supporting multiple business units across the organization.

Position Overview

We are seeking a Data Scientist / Machine Learning Scientist to join a centralized AI and Data Science team supporting multiple business units across the organization. This role will partner with business leaders, product teams, and technical stakeholders to identify opportunities where advanced analytics and machine learning can create strategic value.

The ideal candidate is passionate about solving complex business challenges through data driven insights and predictive modeling. You will be responsible for developing, deploying, and optimizing machine learning solutions while helping shape the organization's AI and analytics capabilities. This position offers the opportunity to work across a variety of business domains and influence high impact initiatives from concept through production.

Key Responsibilities

• Collaborate with business stakeholders, product teams, and technology partners to identify and prioritize data science opportunities

• Design, develop, deploy, and maintain machine learning models that address complex business challenges

• Perform exploratory data analysis to evaluate data quality, identify trends, and uncover actionable insights

• Build predictive, classification, clustering, and optimization models using advanced statistical and machine learning techniques

• Monitor model performance and continuously refine solutions throughout the model lifecycle

• Translate business requirements into scalable data science solutions and clearly communicate results to technical and nontechnical audiences

• Develop scalable data science workflows utilizing cloud platforms and big data technologies

• Stay current on emerging AI, machine learning, and advanced analytics technologies and recommend innovative solutions where appropriate

Key Requirements

• Bachelor's, Master's, or PhD in Computer Science, Statistics, Data Science, Mathematics, Machine Learning, Engineering, or a related quantitative field

• Proven experience developing, deploying, and maintaining machine learning models in production environments

• Strong programming expertise with Python and experience with Scala

• Advanced SQL skills and experience working with large scale structured and unstructured datasets

• Hands on experience with big data technologies including PySpark, Apache Spark, and distributed data processing environments

• Deep understanding of statistical analysis, predictive modeling, feature engineering, model validation, and machine learning methodologies

• Experience communicating technical concepts and analytical findings to both technical and business stakeholders

• Strong problem solving skills with the ability to work independently and collaboratively across cross functional teams

Preferred Qualifications

• Experience with supervised and unsupervised machine learning techniques

• Expertise with Random Forest, Gradient Boosting Machines, XGBoost, Support Vector Machines, K Means Clustering, and DBSCAN

• Experience building and deploying deep learning models

• Knowledge of cloud based data science and machine learning platforms

• Experience designing scalable analytics pipelines and automation processes

• Strong background in predictive analytics, data mining, and advanced statistical modeling

• Experience creating data visualizations and presenting insights to executive leadership

Work Arrangement

• Atlanta based candidates will work a hybrid schedule with 2 days per week onsite

• Candidates located outside the Atlanta area may work fully remote

Why Join This Opportunity

• Work on high visibility AI and machine learning initiatives with enterprise wide impact

• Collaborate with experienced data scientists, engineers, product leaders, and business stakeholders

• Build innovative solutions using modern data science and machine learning technologies

• Influence strategic decision making through advanced analytics and predictive insights

• Enjoy the flexibility of a hybrid or remote working environment
.