At Spectrum Reach, we help advertising clients harness industry leading research and marketing data and to exceed their advertising needs across multiple media platforms. We do this better than anyone else in the industry by providing our clients with access to Spectrum Reach's unique marketing platforms of choice. From traditional commercial advertising to exciting new possibilities in interactive media and multi-screen solutions, Spectrum Reach's consultative team brings more than 22,000 advertising clients world class creative and innovative advertising solutions.
The Lead Data Scientist is responsible for leading the development of data-driven solutions for Spectrum Reach’s advertising sales business. Utilizes analytical, statistical, and programming skills to clean, aggregate, and analyze large data sets and interpret results. This position requires a strong command of statistical techniques machine learning algorithms, and big data technologies. The ideal candidate will possess a demonstrated practical ability to determine where to invest time, and depending on the assignment, to build sustainable predictive models and services or to synthesize actionable findings and present findings to audiences with diverse agendas and varying levels of technical expertise.
Education
Bachelor's degree in computer science, statistics, operations research or equivalent combination of education and experience
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
Skills
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 Skills/Abilities and Knowledge
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.
Preferred Education
Master’s Degree in related field