Senior Manager, Data Science (On-Site)
JOB SUMMARYThe 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 RESPONSIBILITIESActively 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 businessPartner on the design and implementation of statistical data quality procedures for existing and new data sourcesCommunicate complex data science solutions, concepts, and analyses to team members and business leadersPresent data insights & recommendations to key stakeholdersResponsible 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 correlationsEnsure testing and validation are components of all analytics solutionsUse varied data sources in relational databases, flat files, and external sources for analytic relevanceManage internal client relationships, including planning, roadmap, issue resolution, and overall accountability for results and client satisfactionExercise thought leadership and discretion in tailoring the tools, approaches, and data used to meet the needs of a given problemPerform other duties as requiredThis role is based on-site at our corporate office in Stamford, CT.
This role is not remote/hybridREQUIRED QUALIFICATIONSRequired Skills/Abilities and KnowledgeAbility to read, write, speak, and understand EnglishManagement 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 analyticsAdvanced-level skills with relational databases, including SQL and utilizing data stored in complex schemasEffective logical and analytic skillsExperience and solid theoretical foundation on the modeling process using a variety of algorithmsData profiling, distributions, confidence intervals, hypothesis testingHoldout for testing, cross-validationData pre-processing, exploratory data analysis using a variety of techniquesRegression and classification using linear models, GLMs, and tree-based methodsInterpretation of model results, consideration of causality, treatment of multicollinearitySynthesis and presentation skillsBasic understanding of data architecture, data warehouse, and data martsExperience in the telecommunications industry, or two other consumer-based industriesAbility to continually expand skill set, and learn from and teach othersRequired EducationBachelor s degree in computer science, mathematics, statistics, operations research, or other quantitatively-focus fieldRequired Related Work Experience and Number of YearsStatistical Analysis - 8+Business Analysis - 6+SQL/R/SAS Programming - 6+Management and Supervision - 3-5Internal client relationship management - 3-5PREFERRED QUALIFICATIONSPreferred Skills/Abilities and KnowledgeSome experience with Teradata:
SQL, UDFs, interpreting explains plans, basic performance-tuning, and use of database catalogOperations-research background, in particular, focused on large labor operations such as field ops, technical support, and salesBackground with Cable systems and operationsSome experience with Hadoop, particularly HIVE and SparkKnowledge of other relevant tools such as SAS, SPSS, Alteryx, LinuxKnowledge of other relevant techniques such as text analysis and text miningFamiliarity with the open-source ecosystems surrounding R (CRAN), Python (PyPi), and/or HadoopWORKING CONDITIONSOffice environmentTravel 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.
.
Estimated Salary: $20 to $28 per hour based on qualifications.
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 RESPONSIBILITIESActively 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 businessPartner on the design and implementation of statistical data quality procedures for existing and new data sourcesCommunicate complex data science solutions, concepts, and analyses to team members and business leadersPresent data insights & recommendations to key stakeholdersResponsible 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 correlationsEnsure testing and validation are components of all analytics solutionsUse varied data sources in relational databases, flat files, and external sources for analytic relevanceManage internal client relationships, including planning, roadmap, issue resolution, and overall accountability for results and client satisfactionExercise thought leadership and discretion in tailoring the tools, approaches, and data used to meet the needs of a given problemPerform other duties as requiredThis role is based on-site at our corporate office in Stamford, CT.
This role is not remote/hybridREQUIRED QUALIFICATIONSRequired Skills/Abilities and KnowledgeAbility to read, write, speak, and understand EnglishManagement 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 analyticsAdvanced-level skills with relational databases, including SQL and utilizing data stored in complex schemasEffective logical and analytic skillsExperience and solid theoretical foundation on the modeling process using a variety of algorithmsData profiling, distributions, confidence intervals, hypothesis testingHoldout for testing, cross-validationData pre-processing, exploratory data analysis using a variety of techniquesRegression and classification using linear models, GLMs, and tree-based methodsInterpretation of model results, consideration of causality, treatment of multicollinearitySynthesis and presentation skillsBasic understanding of data architecture, data warehouse, and data martsExperience in the telecommunications industry, or two other consumer-based industriesAbility to continually expand skill set, and learn from and teach othersRequired EducationBachelor s degree in computer science, mathematics, statistics, operations research, or other quantitatively-focus fieldRequired Related Work Experience and Number of YearsStatistical Analysis - 8+Business Analysis - 6+SQL/R/SAS Programming - 6+Management and Supervision - 3-5Internal client relationship management - 3-5PREFERRED QUALIFICATIONSPreferred Skills/Abilities and KnowledgeSome experience with Teradata:
SQL, UDFs, interpreting explains plans, basic performance-tuning, and use of database catalogOperations-research background, in particular, focused on large labor operations such as field ops, technical support, and salesBackground with Cable systems and operationsSome experience with Hadoop, particularly HIVE and SparkKnowledge of other relevant tools such as SAS, SPSS, Alteryx, LinuxKnowledge of other relevant techniques such as text analysis and text miningFamiliarity with the open-source ecosystems surrounding R (CRAN), Python (PyPi), and/or HadoopWORKING CONDITIONSOffice environmentTravel 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.
.
Estimated Salary: $20 to $28 per hour based on qualifications.
|
|
 | |
