Company: Bertelsmann (Penguin Random House)
Location: New York, NY, USA (Open to Remote)
Job Type: Full-Time
Experience Level: Senior (5+ years)
Salary Range: $160,000 – $210,000 USD

Role Overview

Bertelsmann is hiring a Senior Machine Learning Scientist to lead forecasting initiatives that drive data-informed decision-making across the organization. This role focuses on building predictive models that support demand forecasting, planning, and optimization for large-scale content and media operations.

You will work closely with data engineers, analysts, and business stakeholders to develop robust forecasting solutions and translate insights into actionable strategies.

Key Responsibilities

Design, develop, and deploy forecasting models using machine learning and statistical techniques

Analyze large datasets to identify patterns, trends, and predictive signals

Collaborate with business partners to define forecasting requirements and success metrics

Improve model accuracy, scalability, and interpretability

Communicate model results and insights to technical and non-technical stakeholders

Contribute to ML best practices, documentation, and knowledge sharing

Required Qualifications

5+ years of experience in machine learning, data science, or applied research

Strong background in forecasting, time series analysis, or predictive modeling

Proficiency in Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)

Experience working with large, complex datasets

Preferred Qualifications

Experience with cloud-based ML platforms

Background in media, publishing, or consumer data analytics

Strong communication and stakeholder engagement skills