Spectrum · 21 hours ago
Lead Data Scientist
New York, NY
Full-time
Onsite
Senior Level, Lead/Staff
$108K/yr - $150K/yr
7+ years expSpectrum Reach is dedicated to helping advertising clients utilize industry-leading research and marketing data to meet their advertising needs across various media platforms. The Lead Data Scientist will be responsible for developing data-driven solutions for advertising sales, utilizing analytical and programming skills to analyze large datasets and present actionable findings to stakeholders.
Digital EntertainmentInternetTelecommunications
No H1B
Responsibilities
Actively and consistently support all efforts to simplify and enhance the customer experience
Plan and lead the complete analytics life-cycle for problem solving, including: requirements gathering, problem formulation, data grooming, data exploration, model prototyping, model validation, and algorithm productionalization
Leverage knowledge in analytical and statistical algorithms to help stakeholders explore methods to improve their business. Utilize experience and feedback to recommend options during the development/research/analysis phase
Lead large-scale exploratory data analyses for new data sources or new uses for existing data sources. Establish links across existing data sources and find new, interesting data correlations
Plan effectively to ensure analytics products are flexible, modular, and both leverage and contribute to the team’s existing reusable code base
Exercise thought leadership and discretion in tailoring the tools, approaches, and data used to meet the needs of the particular problem
Responsible for interpretation of results – for both causal inferences and predictive effectiveness
Synthesize appropriate recommendations for action 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 business-intelligence, data, and analytics professionals with varied backgrounds
Create project plans to help team achieve defined project goals within deadlines; proactively communicate status and escalate issues as needed
Mentor and train junior team members as well as assist leadership in setting strategic vision
Perform other duties as assigned
Qualification
Required
Ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future
Bachelor's degree in computer science, statistics, operations research or equivalent combination of education and experience
7+ years of experience in data manipulation and statistical modeling as a Scientist, Consultant, Architect, DBA or Engineer
7+ years of experience in SQL, R or Python programming
Mastery of R and/or Python for advanced analytics and AI/ML applications
Expertise with SQL and large datasets, including efficient data transformation and storage at scale
Strong understanding of data architecture and data warehousing
Proficiency with commercial cloud platforms such as AWS, Azure or GCP
Solid theoretical foundation in major machine learning models including regression, classification, clustering, neural networks and large language models
Experience with multi-series time series forecasting at scale
Command of advanced mathematics including calculus, PDEs, probability and statistics, with ability to independently learn new concepts
Effective synthesis and presentation skills for sharing results and recommendations
Ability to communicate complex findings to varied audiences
Demonstrated commitment to expanding skill set and fostering learning within the team
Preferred
Experience in the advertising sales, cable and/or telecommunications industry
Advanced Python knowledge and deep experience in the AI/ML ecosystem surrounding Python
Experience in Operations-research/optimization, in particular mixed-integer programming, multi-objective optimization, CPLEX and Gurobi solver configuration and performance tuning
Experience in AWS ecosystem (including EMR, Glue, Athena, SageMaker, Bedrock)
Experience in Snowflake architecture, resource optimization, and performance tuning
Experience in distributed computing paradigms and parallel processing, including Spark optimization techniques and performance tuning
Experience in MLOps, including end-to-end ML pipelines with automated training, validation, and deployment, model registry systems for versioning and governance
Experience with development of systems using generative AI, reasoning models and agentic AI methods
Benefits
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
Company
Spectrum
Spectrum is a cable telecommunications company that offers a range of home entertainment and information services. It is a sub-organization of Charter Communications.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$11.4MKey Investors
North Carolina Department of Information Technology
2023-09-01Grant· $11.4M
2015-05-26Acquired
2007-03-01IPO
Leadership Team
Dinesh Jain
Chief Operating Officer
Ken Guiberson
Group Vice President, Digital Self-Service
Recent News
2026-01-20
2026-01-06
Sports Business Journal
2025-11-08
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