Data Scientist

Overview

Remote
Hybrid
$120,000 - $140,000
Full Time

Skills

ALM
LLM
Langchain
AWS
Python
SQL
Pyspark

Job Details

Leading Client

Location - NYC (REMOTE/HYBRID)

Type - Fulltime

Role - Data Scientist

Media and Entertainment Inustry

Job Description:

Responsibilities
  • Develop and deploy advanced statistical and machine learning models across use cases such as churn prediction, audience segmentation, content recommendation, and customer lifetime value.
  • Translate business challenges into analytical frameworks and deliver high-impact insights that influence strategy and operations.
  • Analyze large, complex datasets using Python, SQL, Pyspark and statistical tools to derive meaningful patterns and trends.
  • Collaborate with stakeholders across marketing, product, and data teams to understand needs and deliver actionable solutions.
  • Build dashboards and visualizations to communicate insights clearly to cross-functional and senior leadership teams.
  • Stay current with the latest media analytics trends and techniques, continuously improving analytical approaches.
  • Mentor junior analysts and contribute to best practices in model development, validation, and deployment.
Required Qualifications
  • Bachelor s or Master s degree in Statistics, Computer Science, Economics, or a related quantitative field.
  • 3 8 years of experience in data science or advanced analytics, with at least 2 3 years in the media or entertainment domain.
  • Proven ability to build and implement models for customer behavior, retention, personalization, or marketing optimization.
  • Proficiency in Python, SQL, and statistical/ML libraries (e.g., scikit-learn, XGBoost, stats models).
  • Strong storytelling and communication skills with experience presenting to business stakeholders.
  • Ability to independently manage analytics projects and collaborate across technical and business teams.
Preferred Qualifications
  • Experience deploying models on cloud platforms such as AWS, Google Cloud Platform, or Azure.
  • Deep understanding of media domain metrics, user behavior, and content performance drivers.
  • Exposure to Generative AI applications and large-scale personalization in media use cases.
  • Proven ability to collaborate with global stakeholders in cross-functional, matrixed environments.
  • Familiarity with productionizing models and working closely with MLOps or engineering teams.

Regards

Dev

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