JOB SUMMARY

The Director, 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. This leadership position is responsible for recruiting and supervising a small staff, formulating and managing projects, and working with cross-functional stakeholders in order to establish roadmaps, present results, and resolve issues.

MAJOR DUTIES AND RESPONSIBILITIES

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

Plan and lead the execution of the analytics lifecycle, leveraging significant experience in leading 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.

Use varied data sources in relational databases, flat files, and external sources for analytic relevance.

Execute the full-scope of advanced analytic techniques.

Perform problem formulation, requirements analysis, and planning.

Responsible for data surveying, profiling, and pre-processing.

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

Selection of appropriate algorithms and execution.

Responsible for interpretation of results – for both causal inferences and predictive effectiveness.

Synthesize appropriate recommendations for actions and changes.

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

Help teach and explain techniques and tools used to a broad set of Sales, Marketing, product, customer operations, business-intelligence, Marketing Science, data, and analytics professionals with varied backgrounds across all levels of the organization.

Develop an effective leadership team and assist them with developing their direct reports to drive a high-performance culture.

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 QUALIFICATIONSRequired Skills/Abilities and KnowledgeAbility to read, write, speak, and understand EnglishExpert-level 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 schemasExpert-level logical and analytic skillsIn-depth experience 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 multicollinearityEffective synthesis and presentation skillsAbility to communicate results and recommendations to a wide variety of audiencesBasic understanding of data architecture, data warehouse, and data martsDemonstrated ability and desire to continually expand skill set, and learn from and teach others

Required EducationMaster's degree in computer science, mathematics, statistics, operations research, or other quantitatively-focus field

Required Related Work Experience and Number of YearsStatistical Analysis - 10+Business Analysis - 8+SQL/R/SAS Programming - 8+Management and Supervision (general leadership and management experience in the field of analytics and/or data management) - 5+Internal client relationship management - 5+Database Design or Database Modeling - 2+Experience in the telecommunications industry, or two other consumer-based industries

PREFERRED QUALIFICATIONS

Preferred Skills/Abilities and Knowledge

Experience with AWS: SQL, UDFs, interpreting explain plans, basic performance-tuning, and use of database catalogExperience with Pega (or similar AI software/tools); particularly Next-Best-Action (NBA) decision engine and Pega Customer Decision Hub (CDH)

Operations-research background, in particular focused on large labor operations such as field ops, technical support, sales/marketingBackground with Cable or telco systems and operationsKnowledge of other relevant techniques such as text analysis and text miningFamiliarity with the open-source ecosystems surrounding R (CRAN) and/or Python (PyPi)

WORKING CONDITIONSOffice environmentTravel as required

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BDA705 2024-33079 2024

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