Data Scientist — Hybrid, End-to-End Analytics & Impact

Charter Communications; Stamford (CT); Hybrid; USD 86,000 - 152,000; Full time

Job summary

Spectrum is seeking a Data Scientist in Stamford to transform complex data into actionable insights that drive business growth. You will apply advanced statistical techniques and ML models, collaborating across teams and communicating findings to stakeholders at all levels.

The role features a hybrid office schedule with potential for remote work up to one day per week. You will own end-to-end analytics, from ETL to deployment, and measure financial impact.

Qualifications

• Bachelor's degree in computer science, statistics, OR operations research or equivalent.
• 3 years in data analytics.
• 2 years programming experience.
• Strong communication and stakeholder management.
• Experience with Python, SQL, and data science toolkits.

Responsibilities

• Own end-to-end data science process from ETL to deployment and measurement.
• Collaborate with cross-functional teams to productionize models.
• Apply statistical algorithms to inform business strategies.
• Design data quality procedures for current and new data sources.
• Communicate findings clearly to team members and leaders.
• Identify data connections across sources and uncover correlations.
• Present insights and recommendations to stakeholders.
• Ensure testing and validation throughout analytics projects.

Skills

Logistic Regression

Random Forests

XGBoost

Python

SQL

Big data tools

Education

Bachelor's degree in computer science, statistics, operations research or equivalent

Tools

Python

SQL

Spark

Hive

Job description

Spectrum is seeking a Data Scientist in Stamford to transform complex data into actionable insights that drive business growth. You will apply advanced statistical techniques and ML models, collaborating across teams and communicating findings to stakeholders at all levels.

The role features a hybrid office schedule with potential for remote work up to one day per week. You will own end-to-end analytics, from ETL to deployment, and measure financial impact.