Director, Data Science (On-Site)

Spectrum
Stamford, CT
Full-time

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 QUALIFICATIONS

Required Skills / Abilities and Knowledge

Ability to read, write, speak, and understand English

Expert-level 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

Expert-level logical and analytic skills

In-depth 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

Effective synthesis and presentation skills

Ability to communicate results and recommendations to a wide variety of audiences

Basic understanding of data architecture, data warehouse, and data marts

Demonstrated ability and desire to continually expand skill set, and learn from and teach others

Required Education

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

Required Related Work Experience and Number of Years

Statistical 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 catalog

Experience 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 / marketing

Background with Cable or telco systems and operations

Knowledge of other relevant techniques such as text analysis and text mining

Familiarity with the open-source ecosystems surrounding R (CRAN) and / or Python (PyPi)

WORKING CONDITIONS

Office environment

Travel as required

LI-NT1

BDA705 2024-33079 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.

24 days ago
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