Principal Data Scientist I
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JOB SUMMARY
We are seeking a dynamic and experienced data-scientist / analyst to lead the delivery of insights, analysis, and alerting on trends and the underlying causes of quality-of-service and service-rate fluctuations in our Internet and Video products. This role plays a critical part in helping Charter consistently deliver high-quality, reliable connectivity by promptly identifying issues related to network equipment, configuration, maintenance, and other controllable factors, while also accounting for non-controllable elements such as usage and weather conditions. The insights generated will guide internal stakeholders and leadership in driving resolutions for identified issues.Responsible for leading the delivery of insights, analysis, and alerting on the trends and causes of quality-of-service and service-rate fluctuations in our Internet and Video products. These insights will help Charter consistently provide high-quality, reliable connectivity products by promptlyPromptly identifying problematic network equipment, configuration, maintenance, and other controllable drivers while separating out the non-controllable elements such as usage and weather. The , resulting in insights to be delivered to internal stakeholders and leadership to resolvedrive resolution on any identified issues.
Responsible for leading the development of data-driven solutions to Charter's business problems. Utilizes analytical, statistical, and programming skills to clean, aggregate, and analyze large data sets and interpret results. This position requires a strong command of statistical techniques and machine learning algorithms, as well as a demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present findings to audiences with diverse agendas and varying levels of technical expertise. This role will be responsible for the delivery of insights and analytics on the trends and causes of quality-of-service and service-rate fluctuations in our Internet and Video products. Promptly identifying problematic network equipment, configuration, maintenance, and other controllable drivers while separating out the non-controllable elements such as usage and weather, resulting in insights delivered to internal stakeholders to resolve identified issues.
Will require a range of appliedThis role requires applying a wide range of analytic techniques, from simple crosstabs to state-of-the-art AI/ML algorithms to measure the causal impact of drivers. In particular, we are expanding our approaches and techniques to include the fast-developing field of Causal AI, in order to precisely measure the impact of issue-drivers, and estimate the potential impact of different interventions to fix these drivers. . These techniques will be applied against a set of large and growing data - over 30 million rows of 100 columns per day, and growing. Compute resources will include high-end relational data warehouse and cloud-based GPU-heavy compute for AI/ML. This role will be considered an intellectual co-owner of the algorithms and procedures methods used to derive causal insights from observational data. Works with R&D and development (analytic requirements) against backlog of desired features. One will perform R&D on and apply these techniques to real-world problems in order to further refine and develop the methods and implementation of them. In addition to these deep technical skills, this role will be the lead applied analyst on the team, responsible for reviewing work product, providing constructive and coaching feedback to junior team members, and delivering key results to senior stakeholders in a clear, polished, and professional manner. This position requires a strong command of statistical techniques and machine learning algorithms, as well as a demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present findings to audiences with diverse agendas and varying levels of technical expertise.
MAJOR DUTIES AND RESPONSIBILITIES
Actively and consistently support all efforts to simplify and enhance the customer experience
Plan and lead the complete analytics life-cycle for problem solving, including: requirements gathering, problem formulation, data grooming, data exploration, model prototyping, model validation, and algorithm productionalization
Leverage consultative experience delivering insights on large structured data to senior operational executives with strong communications skills (verbal, written PowerPoint)
Perform mid-level and advanced analytics using a range of techniques from basic (pivot table) to advanced (Causal AI tools and models)
Troubleshoot, debug, solve problems where the analytic approach, model, or tool the algorithm is not performing as well as needed, and lead the exploration of vendors in the marketplace that can meet this need, enabling buy versus build
Participate in reviewing vendor tools and products that might be fit for our needs; consistently keep up-to-date in the latest market and academic developments in Causal AI
Plan effectively to ensure analytics products are flexible, modular, and contain reusable code base
Identify future technical needs of assigned projects to continue to grow capabilities of organization
Coordinate technical activities across projects and the organization
WHAT YOU'LL BRING TO SPECTRUM
Required Qualifications
Required Skills/Abilities and Knowledge
Ability to read, write, speak and understand English
Advanced-level skills in one or more scripting, analysis, or ETL languages, ability to readily read and adapt others' code, and ability to rapidly learn new languages or techniques
Expert-level skills and experience with analysis language such as R and/or Python (including relevant packages) in support of advanced analytics
Comprehensive experience and theoretical foundation of the properties of the major families of machine learning models (regression, decision trees, clustering, SVMs, neural networks)
Experience with modern machine learning technology and tools in order to produce model scoring code
Basic background (awareness) and strong interest in further developing expertise in Causal AI techniques, e.g., Paradoxes and blunders that result from lack of causal awareness, structural causal models, causal graphs, causal discovery, and causal inference. Recent ability to keep abreast of the latest developments in this field, via regular review of published work (books and papers)
in this field on these topics
Command of advanced mathematical concepts including calculus, PDEs, probability, and statistics, and the ability to independently learn any necessary additional concepts
Effective synthesis and presentation skills
Ability to communicate results and recommendations to a wide variety of audiences including executive leadership
Understanding of data architecture, data warehouse and data marts
Demonstrated ability and desire to continually expand skill set, and learn from and teach others
Experience with other database and data store technologies, such as NoSQL, key-value, columnar, graph, and document
Extensive experience with large data sets and the tools to obtain, transform, and store data on Big Data and streaming services
Program, product, or project management experience delivering analytics results
Comprehensive background in Linux/Unix/CentOS or Windows installation and administration
Ability to identify and resolve end-to-end performance, network, server, cloud, and platform issues
Pattern recognition and predictive modeling skills
Effective attention to detail with the ability to effectively prioritize and execute multiple tasks
Required Education
Bachelor's degree in computer science, statistics, operations research and/or equivalent combination of education and experience
Required Related Work Experience and Number of Years
Data manipulate Number of Years in and statistical modeling as a Scientist, Consultant, Architect, DBA, or Engineer - 8
SQL/R/SAS Programming - 8
Lead the design, develop and deployment machine learning and analytics models - 3+
PREFERRED QUALIFICATIONS
Preferred Skills/Abilities and Knowledge
Experience with Hadoop, HIVE, SPARK, and/or Snowflake
Strong basic analytics skills in SQL, Excel
Tableau and Python a plus Reading, merging, and drawing from research papers, finding the right path forward, local R&D on techniques, and implementing in practice
Knowledge of other relevant tools such as SAS, SPSS, Alteryx, Linux; knowledge of other relevant techniques such as text analysis and text mining
Operations-research background, in particular focused on large labor operations such as field ops, technical support, and sales
Background with cable and/ or telecommunications
Preferred Education
Master's degree in related field (ML / AI / DS)
WORKING CONDITIONS
Office environment
Charter Technical Engineering Center
Highly collaborative and innovative work space
Occasional Travel
BDA630 2024-42177 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.
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 nearly 32 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.
We are seeking a dynamic and experienced data-scientist / analyst to lead the delivery of insights, analysis, and alerting on trends and the underlying causes of quality-of-service and service-rate fluctuations in our Internet and Video products. This role plays a critical part in helping Charter consistently deliver high-quality, reliable connectivity by promptly identifying issues related to network equipment, configuration, maintenance, and other controllable factors, while also accounting for non-controllable elements such as usage and weather conditions. The insights generated will guide internal stakeholders and leadership in driving resolutions for identified issues.Responsible for leading the delivery of insights, analysis, and alerting on the trends and causes of quality-of-service and service-rate fluctuations in our Internet and Video products. These insights will help Charter consistently provide high-quality, reliable connectivity products by promptlyPromptly identifying problematic network equipment, configuration, maintenance, and other controllable drivers while separating out the non-controllable elements such as usage and weather. The , resulting in insights to be delivered to internal stakeholders and leadership to resolvedrive resolution on any identified issues.
Responsible for leading the development of data-driven solutions to Charter's business problems. Utilizes analytical, statistical, and programming skills to clean, aggregate, and analyze large data sets and interpret results. This position requires a strong command of statistical techniques and machine learning algorithms, as well as a demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present findings to audiences with diverse agendas and varying levels of technical expertise. This role will be responsible for the delivery of insights and analytics on the trends and causes of quality-of-service and service-rate fluctuations in our Internet and Video products. Promptly identifying problematic network equipment, configuration, maintenance, and other controllable drivers while separating out the non-controllable elements such as usage and weather, resulting in insights delivered to internal stakeholders to resolve identified issues.
Will require a range of appliedThis role requires applying a wide range of analytic techniques, from simple crosstabs to state-of-the-art AI/ML algorithms to measure the causal impact of drivers. In particular, we are expanding our approaches and techniques to include the fast-developing field of Causal AI, in order to precisely measure the impact of issue-drivers, and estimate the potential impact of different interventions to fix these drivers. . These techniques will be applied against a set of large and growing data - over 30 million rows of 100 columns per day, and growing. Compute resources will include high-end relational data warehouse and cloud-based GPU-heavy compute for AI/ML. This role will be considered an intellectual co-owner of the algorithms and procedures methods used to derive causal insights from observational data. Works with R&D and development (analytic requirements) against backlog of desired features. One will perform R&D on and apply these techniques to real-world problems in order to further refine and develop the methods and implementation of them. In addition to these deep technical skills, this role will be the lead applied analyst on the team, responsible for reviewing work product, providing constructive and coaching feedback to junior team members, and delivering key results to senior stakeholders in a clear, polished, and professional manner. This position requires a strong command of statistical techniques and machine learning algorithms, as well as a demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present findings to audiences with diverse agendas and varying levels of technical expertise.
MAJOR DUTIES AND RESPONSIBILITIES
Actively and consistently support all efforts to simplify and enhance the customer experience
Plan and lead the complete analytics life-cycle for problem solving, including: requirements gathering, problem formulation, data grooming, data exploration, model prototyping, model validation, and algorithm productionalization
Leverage consultative experience delivering insights on large structured data to senior operational executives with strong communications skills (verbal, written PowerPoint)
Perform mid-level and advanced analytics using a range of techniques from basic (pivot table) to advanced (Causal AI tools and models)
Troubleshoot, debug, solve problems where the analytic approach, model, or tool the algorithm is not performing as well as needed, and lead the exploration of vendors in the marketplace that can meet this need, enabling buy versus build
Participate in reviewing vendor tools and products that might be fit for our needs; consistently keep up-to-date in the latest market and academic developments in Causal AI
Plan effectively to ensure analytics products are flexible, modular, and contain reusable code base
Identify future technical needs of assigned projects to continue to grow capabilities of organization
Coordinate technical activities across projects and the organization
WHAT YOU'LL BRING TO SPECTRUM
Required Qualifications
Required Skills/Abilities and Knowledge
Ability to read, write, speak and understand English
Advanced-level skills in one or more scripting, analysis, or ETL languages, ability to readily read and adapt others' code, and ability to rapidly learn new languages or techniques
Expert-level skills and experience with analysis language such as R and/or Python (including relevant packages) in support of advanced analytics
Comprehensive experience and theoretical foundation of the properties of the major families of machine learning models (regression, decision trees, clustering, SVMs, neural networks)
Experience with modern machine learning technology and tools in order to produce model scoring code
Basic background (awareness) and strong interest in further developing expertise in Causal AI techniques, e.g., Paradoxes and blunders that result from lack of causal awareness, structural causal models, causal graphs, causal discovery, and causal inference. Recent ability to keep abreast of the latest developments in this field, via regular review of published work (books and papers)
in this field on these topics
Command of advanced mathematical concepts including calculus, PDEs, probability, and statistics, and the ability to independently learn any necessary additional concepts
Effective synthesis and presentation skills
Ability to communicate results and recommendations to a wide variety of audiences including executive leadership
Understanding of data architecture, data warehouse and data marts
Demonstrated ability and desire to continually expand skill set, and learn from and teach others
Experience with other database and data store technologies, such as NoSQL, key-value, columnar, graph, and document
Extensive experience with large data sets and the tools to obtain, transform, and store data on Big Data and streaming services
Program, product, or project management experience delivering analytics results
Comprehensive background in Linux/Unix/CentOS or Windows installation and administration
Ability to identify and resolve end-to-end performance, network, server, cloud, and platform issues
Pattern recognition and predictive modeling skills
Effective attention to detail with the ability to effectively prioritize and execute multiple tasks
Required Education
Bachelor's degree in computer science, statistics, operations research and/or equivalent combination of education and experience
Required Related Work Experience and Number of Years
Data manipulate Number of Years in and statistical modeling as a Scientist, Consultant, Architect, DBA, or Engineer - 8
SQL/R/SAS Programming - 8
Lead the design, develop and deployment machine learning and analytics models - 3+
PREFERRED QUALIFICATIONS
Preferred Skills/Abilities and Knowledge
Experience with Hadoop, HIVE, SPARK, and/or Snowflake
Strong basic analytics skills in SQL, Excel
Tableau and Python a plus Reading, merging, and drawing from research papers, finding the right path forward, local R&D on techniques, and implementing in practice
Knowledge of other relevant tools such as SAS, SPSS, Alteryx, Linux; knowledge of other relevant techniques such as text analysis and text mining
Operations-research background, in particular focused on large labor operations such as field ops, technical support, and sales
Background with cable and/ or telecommunications
Preferred Education
Master's degree in related field (ML / AI / DS)
WORKING CONDITIONS
Office environment
Charter Technical Engineering Center
Highly collaborative and innovative work space
Occasional Travel
BDA630 2024-42177 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.
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 nearly 32 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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