Data Scientist 2

🕒 Yesterday

🏄 California, Colorado, +10 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🏛️ District of Columbia – Remote 🌺 Hawaii – Remote 🌽 Illinois – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote ❄️ Minnesota – Remote 🍁 Vermont – Remote ☕ Washington – Remote

💵 $66.8k - $156.6k / year

⏰ Full Time

🟢 Junior

📊 Data Scientist

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NBCUniversal

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2004

📱 Media

Media • Entertainment

NBCUniversal is a leading global media and entertainment company known for creating and distributing content across a variety of platforms. With over 100 years of experience, it is a part of Comcast and encompasses brands like Peacock, NBC Sports, and many others to educate, entertain, and empower audiences around the world. The company is involved in television broadcasting, film production, and theme parks, and is also recognized for its initiatives in technology and corporate social responsibility. NBCUniversal is committed to innovation and social impact, making it a vibrant workplace for media and tech professionals.

📋 Description

• Build and validate machine learning, statistical, and optimization models for business use cases • Analyze large and complex datasets to identify actionable insights and recommend solutions • Develop automated analytical workflows, reports, dashboards, and reusable data pipelines • Assist Senior Data Scientists to evaluate model performance and document methodologies • Present technical findings and business impact to technical and non-technical stakeholders • Collaborate with Product, Engineering, and Analytics teams to translate business requirements into data science solutions • Contribute to code reviews and knowledge sharing

🎯 Requirements

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related quantitative field • 1–3 years of relevant experience • Strong programming skills in Python and SQL; Spark/ PySpark experience preferred • Working knowledge of machine learning techniques (regression, classification, clustering, forecasting, tree-based models, deep learning) • Exposure to cloud platforms, MLOps, or Generative AI concepts is a plus • Strong analytical, problem-solving, and communication skills

🏖️ Benefits

• Best-in-class Benefits to eligible employees • Health insurance • Flexible working hours • Paid time off • Professional development opportunities