Data Scientist II

Cox Enterprises, LLC • Sandy Springs, GA

4d • Hybrid

About The Position

Cox Communications, Inc. is seeking a Data Scientist II to transform data into actionable insights, extrapolating and sharing with organizational leaders to help solve vexing problems and build transformational strategies to move the business forward. Designs data modeling processes, creates algorithms, and crafts predictive models to help with planning, problem solving, and strategic and tactical decision-making. This role increasingly leverages AI and Machine Learning (ML) techniques to automate insights, personalize experiences, and drive data-driven innovation.

Requirements

• Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.
• Bachelor's: Minimum two (2) years of work in Data Scientist roles. Masters: Minimum one (1) years of work in Data Scientist roles.
• Experience in AWS environments: Athena, S3, BedRock, Sage Maker AI, and AWS Glue and SnowFlake environments.
• Strong programming skills in Python, and SQL.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Working experience with cloud computing platforms (e.g., AWS, Azure, GCP)
• Proven experience ability to effectively partner with cross-functional teams to successfully execute large-scale projects.
• Strong ability to create, organize, analyze, and interpret complex data sets, draw conclusions, and communicate findings and recommendations to others.
• Ability to prioritize and manage multiple complex projects simultaneously.
• Excellent interpersonal, leadership, presentation, and collaborative skills to work effectively with teams throughout the organization.
• Excellent business acumen with strong story-telling skills to communicate effectively and drive action.
• Must possess an internal client service orientation and work effectively in a matrix management environment.
• Ability to grasp and explain complicated subject matter to others across the organization that are less connected to the situation and/or are less technically oriented.
• Demonstrated ability to multi-task, work under pressure and think analytically.
• Outstanding attention to detail.

Responsibilities

• Collaborates with peers and colleagues to extract meaning and interpretation from data sets within an assigned area of responsibility.
• Engages with assigned leaders and teams to understand business objectives and challenges.
• Works with peers, colleagues, and more senior Data Scientists to develop relevant data collection and analytical methods to investigate challenges and develop meaningful insights, including the application of appropriate ML algorithms (e.g., regression, classification, clustering).
• Develops MLOPS process for data evaluation and model performance.
• Researches and evaluates large volumes of data from disparate sources to identify statistical patterns and generate insights, including experience with data cleaning, feature engineering, and data augmentation techniques to improve model performance. Includes the ability to critically evaluate model outputs, identify potential biases, and interpret model explainability (XAI).
• Develops clear and easily understood data visualizations to facilitate communication and understanding, experience with tools that support interactive dashboards and storytelling with data is a plus.
• Shares analysis and project updates with senior team members and management; proactively communicates model performance metrics, limitations, and potential biases.
• Develops, trains, evaluates, and maintains machine learning models using appropriate frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Pandas, PySpark).
• Contributes to the development and implementation of AI-powered solutions, working closely with engineering teams for deployment and integration.
• Stays current with the latest advancements in AI, Machine Learning, and Data Science, and proactively explores opportunities to apply these advancements to solve business problems.

Benefits

• The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members.
• Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
• Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO).

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees