Manager, Data Science

Manager, Data Science

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.

Have you ever wondered how advanced analytics can transform business decisions and drive meaningful outcomes? As Manager, Data Science at Spectrum, you'll lead a talented team using sophisticated techniques to uncover insights, predict trends, and recommend improvements across our operations. Your expertise will guide actionable strategies that enhance customer experiences and shape the future of our business.

How You'll Make an Impact

• Lead the analytics lifecycle by supervising, developing, and coaching a high-performing team to deliver actionable insights
• Apply advanced analytic techniques to create causal inferences, predictions, and recommendations for business process improvements
• Survey and manage varied data sources including relational databases, Hadoop, flat files, and external sources for analytic relevance
• Execute data profiling, pre-processing, and exploratory analysis to ensure robust data preparation and modeling
• Formulate problems, analyze requirements, plan projects, and select appropriate algorithms for execution
• Interpret model results, communicate findings, and present recommendations to audiences with varying analytical backgrounds
• Manage follow-ups and execution of suggested actions to ensure measurable improvements

Working Conditions

• Office environment
• Travel as required

What You'll Bring to Spectrum

Required Qualifications

Education

• Bachelor's degree in computer science, mathematics, statistics, operations research or other quantitatively-focused field

Experience

• 6+ years statistical analysis
• 3+ years business analysis
• 3+ years SQL, R, or SAS programming
• 2+ years internal client relationship management
• Experience with R and/or Python, including relevant packages, supporting advanced analytics
• Experience with relational databases using SQL and data stored in complex schemas
• Some experience in telecommunications or two other consumer-based industries

Skills

• Ability to read, write, speak and understand English
• Strong logical and analytical skills
• Solid theoretical foundation in modeling processes with various algorithms
• Proficient in data profiling, distributions, confidence intervals, hypothesis testing
• Skilled in holdout testing and cross-validation Advanced data pre-processing and exploratory data analysis
• Regression and classification using linear models, GLMs, and tree-based methods
• Interpretation of model results including causality and multicollinearity
• Effective synthesis and presentation skills
• Basic understanding of data architecture, data warehouse, and data marts

Preferred Qualifications

Education

• Bachelor's degree in computer science, mathematics, statistics, operations research or other quantitatively-focused field

Experience

• 2+ years management or leadership experience

Skills

• Experience with Teradata SQL, UDFs, interpreting explain plans, performance tuning, and database catalog
• Operations-research expertise, especially in large labor operations such as field ops, technical support, and sales
• Background with Cable systems and operations
• Experience with Hadoop, especially HIVE and Spark
• Familiarity with SAS, SPSS, Alteryx, Linux
• Knowledge of text analysis and text mining
• Familiarity with open-source ecosystems for R, Python, and Hadoop

Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being 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.