Overview
On Site
Full Time
Skills
Customer relationship management
Data Science
Customer retention
Customer service
Business process
Customer experience
Data quality
Relational databases
Flat file
Issue resolution
Customer satisfaction
Thought leadership
Data management
Advanced analytics
Data profiling
Data Analysis
Data architecture
Data warehouse
Data marts
Computer science
Operations research
Statistics
Business analysis
SAS
Performance tuning
Technical Support
Text mining
Open source
Analytical skill
Metrics
Algorithms
Analytics
Data
Modeling
Reporting
Design
Testing
Management
Planning
Roadmaps
Accountability
English
R
Python
SQL
Regression analysis
Presentations
Telecommunications
Mathematics
FOCUS
Supervision
Teradata
Database
Operations
Sales
Cabling
Apache Hadoop
Apache Hive
Apache Spark
SPSS
Alteryx
Linux
Microsoft Windows NT
Spectrum
Internet
Video
Job Details
JOB SUMMARY
The Senior Manager, Data Science will be responsible for executing the full scope of advanced analytic techniques with the objectives of creating causal inferences, predictions, and recommendations for improvements to promotional offer recommendations, customer retention, customer service, business processes, etc. and the metrics to monitor, enhance, and refine those improvements. This position requires a strong command of techniques and algorithms as well as a demonstrated practical 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 statistics and analytics.
MAJOR DUTIES AND RESPONSIBILITIES
Actively and consistently support all efforts to simplify and enhance the customer experience.
Support execution of the complete analytics lifecycle, leveraging significant experience in this type of work in previous roles, including:
Leverage knowledge in analytical and statistical algorithms to assist stakeholders in improving their business
Partner on the design and implementation of statistical data quality procedures for existing and new data sources
Communicate complex data science solutions, concepts, and analyses to team members and business leaders
Present data insights & recommendations to key stakeholders
Responsible for interpretation of results, for both causal inferences and predictive effectiveness, as well as establishing links across existing data sources and finding new, interesting data correlations
Ensure testing and validation are components of all analytics solutions
Use varied data sources in relational databases, flat files, and external sources for analytic relevance
Manage internal client relationships, including planning, roadmap, issue resolution, and overall accountability for results and client satisfaction
Exercise thought leadership and discretion in tailoring the tools, approaches, and data used to meet the needs of a given problem
Perform other duties as required
REQUIRED QUALIFICATIONS
Required Skills/Abilities and Knowledge
Ability to read, write, speak, and understand English
Management experience in the field of analytics and/or data management.
Comprehensive skills and experience with R (required) and/or Python (desired) (including relevant packages) in support of advanced analytics
Advanced-level skills with relational databases, including SQL and utilizing data stored in complex schemas
Effective 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
Holdout for testing, cross-validation
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
Experience in the telecommunications industry, or two other consumer-based industries
Ability to continually expand skill set, and learn from and teach others
Required Education
Bachelor's degree in computer science, mathematics, statistics, operations research, or other quantitatively-focus field
Required Related Work Experience and Number of Years
Statistical Analysis - 8+
Business Analysis - 6+
SQL/R/SAS Programming - 6+
Management and Supervision - 3-5
Internal client relationship management - 3-5
PREFERRED QUALIFICATIONS
Preferred Skills/Abilities and Knowledge
Some experience with Teradata: SQL, UDFs, interpreting explains plans, basic performance-tuning, and use of database catalog
Operations-research background, in particular, focused on large labor operations such as field ops, technical support, and sales
Background with Cable systems and operations
Some experience with Hadoop, particularly HIVE and Spark
Knowledge of other relevant tools such as SAS, SPSS, Alteryx, Linux
Knowledge of other relevant techniques such as text analysis and text mining
Familiarity with the open-source ecosystems surrounding R (CRAN), Python (PyPi), and/or Hadoop
WORKING CONDITIONS
Office environment
Travel as required
#LI-NT1
BDA626 2024-33083 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 more than 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.
The Senior Manager, Data Science will be responsible for executing the full scope of advanced analytic techniques with the objectives of creating causal inferences, predictions, and recommendations for improvements to promotional offer recommendations, customer retention, customer service, business processes, etc. and the metrics to monitor, enhance, and refine those improvements. This position requires a strong command of techniques and algorithms as well as a demonstrated practical 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 statistics and analytics.
MAJOR DUTIES AND RESPONSIBILITIES
Actively and consistently support all efforts to simplify and enhance the customer experience.
Support execution of the complete analytics lifecycle, leveraging significant experience in this type of work in previous roles, including:
- Data Preparation - Preparing/analyzing modeling data and assessing the quality and value of modeling data sources.
- Predictions and Modeling - Develop, monitor, and maintain predictive and adaptive models.
- Monitoring and Improvements - Support reporting on performance and analysis of predictions. Develop new models and replace existing ones in production.
Leverage knowledge in analytical and statistical algorithms to assist stakeholders in improving their business
Partner on the design and implementation of statistical data quality procedures for existing and new data sources
Communicate complex data science solutions, concepts, and analyses to team members and business leaders
Present data insights & recommendations to key stakeholders
Responsible for interpretation of results, for both causal inferences and predictive effectiveness, as well as establishing links across existing data sources and finding new, interesting data correlations
Ensure testing and validation are components of all analytics solutions
Use varied data sources in relational databases, flat files, and external sources for analytic relevance
Manage internal client relationships, including planning, roadmap, issue resolution, and overall accountability for results and client satisfaction
Exercise thought leadership and discretion in tailoring the tools, approaches, and data used to meet the needs of a given problem
Perform other duties as required
- This role is based on-site at our corporate office in Stamford, CT. This role is not remote/hybrid
REQUIRED QUALIFICATIONS
Required Skills/Abilities and Knowledge
Ability to read, write, speak, and understand English
Management experience in the field of analytics and/or data management.
Comprehensive skills and experience with R (required) and/or Python (desired) (including relevant packages) in support of advanced analytics
Advanced-level skills with relational databases, including SQL and utilizing data stored in complex schemas
Effective 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
Holdout for testing, cross-validation
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
Experience in the telecommunications industry, or two other consumer-based industries
Ability to continually expand skill set, and learn from and teach others
Required Education
Bachelor's degree in computer science, mathematics, statistics, operations research, or other quantitatively-focus field
Required Related Work Experience and Number of Years
Statistical Analysis - 8+
Business Analysis - 6+
SQL/R/SAS Programming - 6+
Management and Supervision - 3-5
Internal client relationship management - 3-5
PREFERRED QUALIFICATIONS
Preferred Skills/Abilities and Knowledge
Some experience with Teradata: SQL, UDFs, interpreting explains plans, basic performance-tuning, and use of database catalog
Operations-research background, in particular, focused on large labor operations such as field ops, technical support, and sales
Background with Cable systems and operations
Some experience with Hadoop, particularly HIVE and Spark
Knowledge of other relevant tools such as SAS, SPSS, Alteryx, Linux
Knowledge of other relevant techniques such as text analysis and text mining
Familiarity with the open-source ecosystems surrounding R (CRAN), Python (PyPi), and/or Hadoop
WORKING CONDITIONS
Office environment
Travel as required
#LI-NT1
BDA626 2024-33083 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 more than 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.