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Manager, Data Science
Manager, Data Science-March 2024
Greenwood Village
Mar 28, 2026
ABOUT SPECTRUM
Spectrum provides a full range of advanced broadband services, including video entertainment programming, internet access, and home phone service.
10,000+ employees
Media, Telecom
VIEW COMPANY PROFILE >>
About Manager, Data Science

Spectrum’s Product and Technology team creates, develops, and operates the nation’s fastest mobile service, most reliable internet service, most viewed live TV app, and the most advanced WiFi, serving nearly 100 million users and 500 million devices. We are transforming the next era of connectivity and entertainment experiences. The diversity of experience available within Spectrum’s Product and Technology team is unmatched and there are opportunities to grow your career as a designer, architect, engineer, developer, operator, or data scientist. We are creative, disciplined, hard-working, complex-problem solvers that believe in collaborating to deliver the highest quality customer experience.

Specific to this role, the Data Science Manager would be part of meeting with stakeholders (product owners) to ingest product requirements, translate business requirements to specific technical tasks for developers, prototype technical solutions, validate / QA output from developers, create executive level readouts to communicate takeaways and next steps. The Data Science Manager would build domain knowledge through self-education and interactions with the subject matter experts on the product side. The scope of projects would span across all internet connectivity initiatives such as Spectrum Mobile (geo-spatial data) usage, ML models for predicting customers internet issues and upstream plant issues, and optimization of network configuration. In addition, the Data Science Manager would be expected to be hands on for tasks such as building prototype ML models, productionizing an ML pipeline on AWS, unit testing, and monitoring. This will help the manager be intimately familiar with the challenges faced by the developers, anticipate level of effort to meet business requirements, create service agreements with data owners, and prioritization of tasks via Jira.

BE PART OF THE CONNECTION

As a Data Science Manager, you will be responsible for supporting the full-scope of advanced analytic techniques with the objectives of creating causal inferences, predictions, and recommendations for improvements to business processes, and the metrics to monitor those improvements. This position requires a strong command of techniques and algorithms as well as an ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present these findings to an audience with varying levels of background in analytics.

WHAT OUR DATA SCIENCE MANAGERS ENJOY MOST

Actively and consistently support all efforts to simplify and enhance the customer experience.

Supervise the execution of the analytics life-cycle, leveraging significant experience in leading this type of work in previous roles.

Survey varied data sources on both on-premises and AWS in different forms such as relational databases, kafka topics, parquet files, and external sources for analytic relevance.

Execute the full-scope of advanced analytic techniques.

Contribute to problem formulation, requirements analysis, and planning.

Model data management for validation (e.g. holdout, cross-validation).

Review of appropriate algorithms and execution.

Contribute to accurate interpretation of results – for both causal inferences and predictive effectiveness.

Provide appropriate recommendations for action and changes.

Analyze findings, suggested actions and changes to a broad audience, and manage follow-ups and execution.

Manage high performing team by leading, developing, training and providing effective coaching to attract and foster talent.

Task management for sprint and quarterly planning using Gitlab and Jira.

Perform other duties as required.

WHAT YOU’LL BRING TO SPECTRUM

Required Qualifications

Experience:

6+ years of Statistical Analysis

3+ years of Business Analysis

3+ years of SQL/R/SAS Programming

2+ years of Internal client relationship management -

Experience with R (required) and/or Python (desired) (including relevant packages) in support of advanced analytics

Experience with relational databases, including SQL and utilizing data stored in complex schemas

Some experience in the telecommunications industry, or two other consumer-based industries

Education:

Bachelor’s degree in computer science, mathematics, statistics, operations research or other quantitatively-focus field

Skills:

In-depth logical and analytic skills

Experience and solid theoretical foundation on the modeling process using a variety of algorithms

Data profiling, distributions, confidence intervals, hypothesis testing skills

Data pre-processing, exploratory data analysis using a variety of techniques

Regression and classification using linear models, GLMs, and tree-based methods

Interpretation of model results, consideration of causality, treatment of multicollinearity

Synthesis and presentation skills

Basic understanding of data architecture, data warehouse and data marts

Abilities:

Ability to read, write, speak, and understand English.

Ability to holdout for testing, cross-validation

Travel Ability:

Travel as required

Schedule:

Full time

Office environment

Preferred Qualifications

Master’s degree in computer science, analytics, data science, mathematics, statistics, operations research or another quantitatively-focus field

2+ years of Management or leadership experience

Some experience with Spark and Scala, cloud computing in AWS, and spark optimization

Background with Cable systems, RF engineering, internet and wireless technology

Basic knowledge of Linux and bash scripting

Familiarity with the open-source ecosystems surrounding R (CRAN), Python, and Tableau

SPECTRUM CONNECTS YOU TO MORE

Innovative Tools Tech: Work with high-performing software and applications on the forefront of the digital telecommunications industry.

Dynamic Growth: The growth of our industry and evolving technology will power your career as you move up or around the company.

Supportive Teams: Who you are matters here. And, we aim to foster an inclusive workplace where every person is empowered to bring their best ideas.

Total Rewards: See all the ways we invest in you—at work and in life Apply now, connect a friend to this opportunity orsign up for job alerts! (http://Working at Spectrum - Jobs and Careers at Spectrum)

BDA526 2024-37235 2024

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 to our success, 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 2024-08-22 11:00 PM (UTC) and will be extended if necessary.

The pay for this position has a salary range of $98,900.00 to $175,300.00 . The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and location. Also, certain positions are eligible for additional forms of 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 Enterprise and Spectrum Reach. When you join us, you’re joining a strong community of more than 100,000 individuals working together to serve more than 32 million customers in 41 states and keep them connected to what matters most. Watch this video to learn more. (https://www.youtube.com/watch?v=N-HEOHIAU7Q)

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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