Lead Data Scientist - Reach

Overview

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

At Spectrum Reach, we help advertising clients harness industry leading research and marketing data to exceed their advertising needs across multiple media platforms. We do this by providing our clients with access to Spectrum Reach's unique marketing platforms of choice. From traditional commercial advertising to 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.

• 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.

• 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…