Senior Data Scientist C2C requirements in Orlanda FL (onsite) Urgent Need

Position             Senior Data Scientist

Location             Orlanda FL (onsite) – Local Candidates Only
Contract

Job Description

•            Lead the design, development, and deployment of AI and ML models for key business problems such as:

o            Personalized content recommendations

o            Customer segmentation and lifetime value prediction

o            Demand forecasting and churn analysis

o            Audience engagement and sentiment analysis

•            Apply advanced analytics, deep learning, and natural language processing (NLP) techniques to enhance user experience across Disney’s platforms.

•            Build and optimize end-to-end ML pipelines — from data ingestion to model deployment — using tools like TensorFlow, PyTorch, and MLflow.

• Collaborate with data engineering and product teams to operationalize AI models and integrate insights into production systems.

•            Utilize generative AI and predictive analytics to support content creation, marketing automation, and storytelling initiatives.

•            Implement robust model monitoring, evaluation, and retraining strategies to ensure accuracy and reliability.

•            Partner with business stakeholders to translate AI insights into actionable strategies that align with Disney’s creative and commercial goals.

•            Mentor junior team members in AI/ML techniques, experimentation, and data science best practices.

Qualifications

•            Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Data Science, or a related quantitative field.

•            5+ years of experience applying AI and ML methods to solve business problems (preferably in media, entertainment, or digital streaming).

•            Proven expertise in:

•            Python (NumPy, pandas, scikit-learn, TensorFlow, PyTorch)

•            SQL and data wrangling tools

•            Statistical modeling, predictive analytics, and deep learning architectures (CNNs, RNNs, Transformers)

•            Experience with cloud-based ML environments (AWS SageMaker, Google Vertex AI, or Azure ML).

•            Strong understanding of feature engineering, model interpretability, and A/B testing frameworks.

•            Excellent communication and storytelling skills — able to translate complex AI insights into clear, actionable business recommendations.

Preferred Skills

•            Experience with Generative AI (LLMs, diffusion models, reinforcement learning).

•            Exposure to big data ecosystems (Spark, Databricks, Snowflake).

• Familiarity with recommendation systems, computer vision, and NLP-based personalization.

•            Prior experience in a consumer-facing digital or media organization.