Director, Data Science

CO Salary Range: USD 138,930.00 - 246,290.00 per year

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.
Are you ready to lead the strategic development of cutting-edge generative AI solutions to transform business processes and drive innovation? As a Director of Data Science at Spectrum, you will drive the strategy for our generative AI platform, leveraging advanced techniques and algorithms to craft intelligent systems that improve productivity. You will also recruit and supervise a small team, manage projects, and collaborate with key customers to establish roadmaps, present results, and resolve issues.

How You'll Make an Impact

• Plan and lead the execution of the analytics lifecycle, leveraging significant experience; execute the full scope of advanced analytic techniques and perform problem formulation, requirements analysis, and planning
• Utilize varied data sources in relational databases, Hadoop, flat files, and external sources for analytic relevance, and be responsible for data surveying, profiling, and pre-processing
• Model data management for validation with techniques such as holdout and cross-validation; select appropriate algorithms for execution
• Interpret results for causal inferences and predictive effectiveness; synthesize appropriate recommendations for action and changes
• Present findings and suggested actions to a broad audience, manage follow-ups and execution, and help teach and explain techniques and tools to business-intelligence, data, and analytics professionals with varied backgrounds
• 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, budgeting, roadmap, issue resolution, and overall accountability for results and client satisfaction; exercise thought leadership and discretion in tailoring tools, approaches, and data to meet specific problem needs

• Office environment
• Travel as required

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

• 10+ years statistical analysis experience
• 8+ years business analysis experience
• 8+ years SQL/R/SAS programming experience
• 5+ years management and supervision (general leadership and management experience in the field of analytics and/or data management)
• 5+ years internal client relationship management
• 2+ years of database design or database modeling experience
• Experience in the telecommunications industry, or two other consumer-based industries

• 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

• Demonstrated ability to lead, mentor, and develop high-performing teams
• A creative thinker with strong problem-solving skills and a passion for using AI to address business challenges
• Experience with large language models (LLMs) and prompt engineering
• Operations-research background, focused on large labor operations such as field ops, technical support, and sales; Background with cable systems and operations
• 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