Sr Data Scientist

Charter Spectrum•Greenwood Village, CO

62d•Hybrid

About The Position

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. Do you excel at working cross-functionally to achieve common goals? Would you describe yourself as collaborative, analytical, strategic, and data-driven? If so, you could find a home on the Operational Analytics & Insight (OAI) team at Spectrum. At Spectrum, we keep our customers connected across a 41-state footprint. Our Operational Analytics & Insight team provides the measurement, insights and recommendations that inform our digital strategies. By helping answer critical questions about the customer experience, sales, and operations, this team plays a vital role in delivering the exceptional services and experiences Spectrum is known for. BE PART OF THE CONNECTION As a Senior Data Scientist on the Operational Analytics & Insights you will play a pivotal role in driving AI-powered analytics, machine learning models, segmentation strategies, and business intelligence solutions. Your work will enhance decision-making through predictive and prescriptive modeling, competitive intelligence, sales optimization, and marketing analytics strategies, ensuring data science initiatives directly impact business performance. Beyond developing AI-driven models, you will lead the full analytics lifecycle, from problem identification and data acquisition to model deployment, performance monitoring, and business integration. Your ability to simplify complex insights for executive decision-makers through compelling PowerPoint storytelling and data visualization will be essential in influencing strategic direction. Additionally, you will mentor junior data scientists and analysts while collaborating cross-functionally to align AI and analytics solutions with organizational objectives. WHAT OUR SENIOR DATA SCIENTISTS ENJOY MOST A self-directed problem solver who takes ownership, anticipates challenges, and drives solutions without needing detailed oversight. A strategic thinker who knows how to prioritize and balance long-term research with immediate business needs. A collaborative leader who excels at mentoring, empowering teams, and fostering a culture of excellence in AI/ML development. An effective communicator who can distill complex machine learning concepts into clear, actionable insights for various audiences. This role is ideal for a highly motivated AI/ML expert who enjoys both hands-on technical work and leadership responsibilities. If you are passionate about shaping the future of AI-driven decision-making while guiding a talented team, this is the role for you.

Requirements

Data manipulation and statistical modeling as a Scientist, Consultant, Architect, DBA, or Engineer - 5+ Years
Programming Experience - 5+ Years
Bachelor's degree in computer science, statistics, or operations research, or equivalent combination of education and experience
Strong proficiency in predictive analytics, prescriptive analytics, AI, machine learning, NLP, and statistical modeling.
Hands-on experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and NLP libraries like spaCy or Hugging Face Transformers.
Proficiency in programming languages such as Python, R, or SQL for data analysis and model development.
Advanced statistical modeling, feature engineering, and optimization techniques.
Developing and deploying ML models in cloud environments (Azure, AWS, or similar).
Strong understanding of MLOps, model deployment, and performance monitoring in production.
Working with large-scale data processing frameworks such as Apache Spark or Databricks.
Strong understanding of forecasting techniques, scenario modeling, and optimization algorithms.
Expertise in sales and marketing analytics, including customer segmentation, attribution modeling, and demand forecasting.
AI-driven competitive intelligence, leveraging web scraping, NLP, and social media analytics to track industry trends.
Work with cloud-based data storage and ETL solutions.
Strong analytical and problem-solving skills with a data-driven approach.
Leading large-scale DS and analytics projects and stakeholder engagement.
Executive communication and verbal / written communication skills.
Understanding of UX design principles for AI-driven dashboards and business intelligence applications.
Leading/mentoring projects and team members

Nice To Haves

Hands-on experience in designing and deploying AI solutions using Microsoft Azure ML, Databricks, AWS, Redshift, and Fabric.

Responsibilities

Driving AI-powered analytics, machine learning models, segmentation strategies, and business intelligence solutions.
Enhancing decision-making through predictive and prescriptive modeling, competitive intelligence, sales optimization, and marketing analytics strategies
Leading the full analytics lifecycle, from problem identification and data acquisition to model deployment, performance monitoring, and business integration.
Simplifying complex insights for executive decision-makers through compelling PowerPoint storytelling and data visualization
Mentoring junior data scientists and analysts while collaborating cross-functionally to align AI and analytics solutions with organizational objectives.

Benefits

Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume