Salary
$73k – $117k per year
Location
Hybrid (Stamford, United States)
Seniority
Junior
Employment
Full-Time
First seen by Alion on Nov 11, 2026.
Overview
Company
Impact
Profile match
Spectrum is a United States cable and broadband company that provides internet and communications services to homes and businesses. Its field operations teams install and service customer connections, and it hires field technicians at hourly pay with a self-progression program. The company is based in the United States.
Spectrum is hiring an Associate Data Scientist to uncover insights that address business challenges and support data-driven solutions. The role supports the end-to-end data science process, develops and evaluates models, analyzes data, and communicates findings to stakeholders.
Responsibilities
- Support the end-to-end data science process, including ETL, model development, validation, deployment into workflows, and measurement of business impact
- Partner with cross-functional teams to implement models in production and conduct post-launch testing and enhancements
- Assist in cleaning, aggregating and analyzing large data sets to generate actionable insights
- Collaborate with stakeholders to identify opportunities for business improvement using statistical and analytical methods
- Help design and implement statistical data quality procedures for new and existing data sources
- Contribute to communicating data science concepts and solutions clearly to team members and business leaders
- Establish connections across data sources and identify new, meaningful data relationships
- Aid in presenting findings and recommendations to key stakeholders while ensuring project goals are met on time
Skills
- This role requires the 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
- 0-3 years of experience in data analytics
- 0-2 years of programming experience
- Basic experience developing Logistic Regression, Random Forest, and XGBoost models in Python
- Interpersonal, verbal and written communication skills with a focus on teamwork
- Minimal experience with analytical and statistical software
- Basic SQL skills
- Strong analytical and problem-solving abilities with attention to detail and data accuracy
- Ability to perform thorough research and analysis
- Knowledge of computer science principles such as algorithms, data structures and design methodologies
- Internship experience in a data scientist role
Benefits
- Eligible employees can work from home up to one day each week.
- Certain positions are eligible for additional forms of other incentive-based compensation such as bonuses.
Company Overview
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