Lead Data Scientist - AI Analysis

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 more than 32 million customers connected across our 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 Lead Data Scientist - AI Analysis 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.

WHO OUR LEAD DATA SCIENTISTS ARE

• 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 diverse 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.

WHAT YOU'LL BRING TO SPECTRUM

Required Qualifications

• Experience:
  • Data manipulation and statistical modeling as a Scientist, Consultant, Architect, DBA, or Engineer - 7+ Years
  • SQL/R/SAS Programming - 7+ Years
    
    
• Education:
  • Bachelor's degree in computer science, statistics, or operations research, or equivalent combination of education and experience
• Skills:
  • 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.
  • Experience with advanced statistical modeling, feature engineering, and optimization techniques
  • Expertise in developing and deploying ML models in cloud environments (Azure, AWS, or similar)
  • Strong understanding of MLOps, model deployment, and performance monitoring in production
  • Experience 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
  • Experience with AI-driven competitive intelligence, leveraging web scraping, NLP, and social media analytics to track industry trends
  • Ability to work with cloud-based data storage and ETL solutions
  • Strong analytical and problem-solving skills with a data-driven approach
  • Experience leading large-scale DS and anlystics projects and stakeholder engagement
  • Experience with executive communications and verbal / written communication skills
  • Understanding of UX design principles for AI-driven dashboards and business intelligence applications.
• Travel: As required (10%)

Preferred Qualifications

• Experience:
  • Hands-on experience in designing and deploying AI solutions using Microsoft Azure ML, Databricks, AWS, Redshift, and Fabric.
• Education:
  • Master's degree in related field
• Knowledge:
  • Other relevant tools such as SAS, SPSS, Alteryx, Linux; Other relevant techniques such as text analysis and text mining; Familiarity with the open-source ecosystems surrounding R (CRAN), Python (PyPi), and/or Hadoop

SPECTRUM CONNECTS YOU TO MORE

• Dynamic Growth: The growth of our industry and evolving technology powers our employees' careers as they move up or around the company
• Learning Culture: We invest in your learning, and provide paid training and coaching to help you succeed
• Supportive Teams: Be part of a strong community that gives you opportunities to network and grow, and wants to see you succeed
• Total Rewards: See all the ways we invest in you-at work and in life

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