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Lead Data Scientist - AI Analysis

Davita Inc.

Centennial (CO)

On-site

USD 98,000 - 176,000

Full time

Yesterday
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Job summary

Join a dynamic team as a Lead Data Scientist in AI Analysis, where you'll drive AI-powered analytics, enhance decision-making through predictive modeling, and lead the analytics lifecycle. We're looking for a collaborative and strategic leader passionate about shaping AI-driven decision-making, influencing business strategies, and mentoring a talented team.

Benefits

Paid training and coaching
Dynamic growth opportunities

Qualifications

  • 7+ Years of Data manipulation and statistical modeling experience.
  • Strong experience in SQL/R/SAS programming.
  • Expertise in developing and deploying ML models in cloud environments.

Responsibilities

  • Drive AI-powered analytics and machine learning models.
  • Lead the full analytics lifecycle from problem identification to model deployment.
  • Simplify complex insights for executive decision-making.

Skills

Data manipulation
Statistical modeling
Predictive analytics
Machine learning
NLP
AI

Education

Bachelor's degree in computer science, statistics, or operations research

Tools

TensorFlow
PyTorch
Scikit-learn

Job description

This posting has been extended beyond the initial anticipated closing date.

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 team, 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 analytics projects and stakeholder engagement
    • Experience with executive communications and verbal/written communication skills
    • Understanding of UX design principles for AI-driven dashboards and BI 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

Apply now, connect a friend to this opportunity or sign up for job alerts!


BDA309 2025-49620 2025

Here, employees don't just have jobs; they build careers. That's why we believe in offering a comprehensive pay and benefits package that rewards employees for their contributions, supports all aspects of their well-being, and delivers real value at every stage of life.


A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances.

This job posting will remain open until 2025-07-07 05:00 AM (UTC) and will be extended if necessary.

The base pay for this position generally is between $98,900.00 and $175,300.00. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses.



Get to Know Us Charter Communications is known in the United States by our Spectrum brands, including: Spectrum Internet, TV, Mobile and Voice, Spectrum Networks, Spectrum Business and Spectrum Reach. When you join us, you're joining a strong community of 95,000 employees working together to serve more than 31 million customers in 41 states and keep them connected to what matters most. Watch this video to learn more.
Who You Are Matters Here We're committed to growing a workforce that reflects our communities, and providing equal opportunities for employment and advancement. EOE, including disability/vets. Learn about our inclusive culture.
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