Data Scientist

Posted An Hour Ago
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New York, NY, USA
In-Office
90K-150K Annually
Senior level
Information Technology • Internet of Things • Mobile • On-Demand • Software
The growth of our industry and evolving technology powers our employees’ careers as they move up or around the company.
The Role
Leads the full analytics lifecycle for Spectrum Reach’s advertising sales business, including data preparation, exploratory analysis, predictive modeling, validation, productionization, forecasting, and interpretation. Develops scalable analytics products, synthesizes recommendations, presents findings to diverse audiences, manages project execution, and mentors junior data professionals. Requires advanced statistical, machine learning, programming, cloud, and big-data expertise.
Summary Generated by Built In
This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.
Spectrum Reach® provides custom advertising solutions for local, regional and national clients. Spectrum Reach creates scalable advertising and marketing services driven by aggregated and de-identified data insights and award-winning creative services. Spectrum Reach helps businesses of all sizes reach anyone, anywhere, on any screen. Additional information about Spectrum Reach can be found at https://www.spectrumreach.com
As the Lead Data Scientist, you are 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.
How You'll Make an Impact
  • 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.

WHAT YOU'LL BRING TO SPECTRUM REACH• Demonstrated mastery and experience with languages such as R and/or Python (including relevant packages) in support of advanced analytics and AI/ML• Demonstrated experience with SQL, large data sets and the tools to efficiently obtain, transform, and store large volumes at scale. Firm understanding of data architecture and data warehousing techniques• Experience and proficiency with commercial cloud platforms such as AWS, Azure, GCP• Demonstrated experience and solid theoretical foundation of the properties of the major families of machine learning models, including regression, classification, clustering, neural networks, and large language models• Experience with large scale multi-series time series forecasting• Command of advanced mathematical concepts including calculus, PDEs, probability, and statistics, and the ability to independently learn any necessary additional concepts• Effective synthesis and presentation skills• Ability to communicate results and recommendations to a wide variety of audiences• Demonstrated ability and desire to continually expand skill set, and learn from and teach others
Required Education
Bachelor's degree in computer science, statistics, operations research and/or equivalent combination of education and experience
Required Related Work Experience
7+ years data manipulation and statistical modeling as a Scientist, Consultant, Architect, DBA, or Engineer
7+ years SQL/R/Python Programming
PREFERRED QUALIFICATIONS• 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
#LI-MM2
BDA309 2026-82130 BDA309 2026
Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive 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.
The base pay for this position generally is between
$89,800.00 and $150,000.00. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses.
Get to Know Us Spectrum is a suite of advanced communications services offered by Charter Communications, the leading broadband and video company in the nation and the fastest growing mobile provider in its footprint, with services available to more than 70 million homes and small to large businesses across 45 states. When you join our team, you'll be keeping customers connected to Seamless Connectivity and Entertainment with Spectrum Internet®, Mobile, TV and Voice products.
Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans.

Skills Required

  • Bachelor's degree in computer science, statistics, operations research, or equivalent education and experience
  • 7+ years of experience in data manipulation and statistical modeling
  • 7+ years of SQL, R, and/or Python programming experience
  • Mastery of R and/or Python for advanced analytics and AI/ML
  • Experience with SQL, large datasets, data transformation, data storage, data architecture, and data warehousing
  • Experience with commercial cloud platforms such as AWS, Azure, or GCP
  • Strong theoretical and practical knowledge of regression, classification, clustering, neural networks, and large language models
  • Experience with large-scale multi-series time-series forecasting
  • Advanced knowledge of calculus, partial differential equations, probability, and statistics
  • Effective synthesis, presentation, communication, mentoring, and knowledge-sharing skills
  • Advertising sales, cable, or telecommunications industry experience
  • Advanced Python and experience with the Python AI/ML ecosystem
  • Operations research or optimization experience, including mixed-integer programming, multi-objective optimization, CPLEX, and Gurobi
  • AWS ecosystem experience, including EMR, Glue, Athena, SageMaker, or Bedrock
  • Snowflake architecture, resource optimization, and performance-tuning experience
  • Distributed computing and parallel processing experience, including Spark optimization
  • MLOps experience with automated training, validation, deployment, model registries, versioning, and governance
  • Experience developing systems using generative AI, reasoning models, or agentic AI
  • Master's degree in a related field

What the Team is Saying

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Spectrum Compensation & Benefits Highlights

  • Retirement Support — The 401(k) program is described as dollar‑for‑dollar up to 6% of pay, with many roles also receiving an additional 3% employer retirement contribution. Feedback suggests this creates a notably strong foundation for long‑term savings.
  • Healthcare Strength — Core medical, dental, and vision coverage is paired with health accounts and mental‑health resources, with up to $1,500 funded into a healthcare account for some national plans. Company materials also indicate efforts to keep employee premiums stable over time.
  • Parental & Family Support — Paid parental leave (six weeks for parents, 14 weeks for birth mothers), fertility benefits, and up to $15,000 for adoption/surrogacy reimbursement are highlighted. These offerings indicate meaningful support for family building and caregiving needs.

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The Company
HQ: Stamford, CT
100,000 Employees
Year Founded: 1993

What We Do

At Spectrum, our Product & Technology teams build the platforms and tools that power seamless connectivity and entertainment across Internet, WiFi, Video, Mobile and Voice. Supporting more than 500 million devices, we’re transforming the next era of connected experiences with some of the fastest, most reliable and advanced services in the nation. It’s an unmatched environment for designers, architects, engineers, developers, operators and data scientists to grow their careers, solve complex challenges and collaborate to deliver exceptional customer experiences. Join us to help deliver what’s next.

Why Work With Us

At Spectrum, we continually refine technology, process, and structure. We are committed to delivering a superior network infrastructure, the most competitive products, and highly rated customer experiences. Our talented team of experts deploys technology solutions and builds systems and tools for our employees to provide exceptional operations.

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