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:

• 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
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BDA626 2024-33083 2024
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