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JOB SUMMARY
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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.
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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 Teradata: SQL, UDFs, interpreting explain 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
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
BDA705 2024-33079 2024 Here, employees don't just have jobs, they build careers. That's why we believe in offering a comprehensive 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.Full Time
Television & Broadcasting
$188k-232k (estimate)
05/08/2024
05/15/2024
charterretailer.com
FRONTENAC, MO
200 - 500
2016
MICHAEL J LOVETT
$5M - $10M
Television & Broadcasting
The job skills required for Director, Data Science (On-Site) include Data Science, Leadership, Data Management, SQL, Computer Science, Data Analysis, etc. Having related job skills and expertise will give you an advantage when applying to be a Director, Data Science (On-Site). That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Director, Data Science (On-Site). Select any job title you are interested in and start to search job requirements.
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