Sr Data Scientist- Hybrid role

Sr Data Scientist

(NYC, LA, SF or Seattle) Onsite Hybrid role - 3 days a week

6+ Months

We are seeking a highly motivated and talented Senior Data Scientist to join our team of experts in developing and maintaining recommendation and personalization algorithms for Disney Streaming's suite of streaming video apps. As a member of our team, you will play a pivotal role in shaping the future of our streaming services by applying state-of-the-art machine learning methods to meet strategic product personalization goals.

Algorithm Development And Maintenance

• Utilize cutting-edge machine learning techniques to develop and enhance algorithms for personalization, recommendation, and predictive systems.
• Take ownership of maintaining and optimizing algorithms deployed in production environments.
• Serve as the point person for explaining methodologies to both technical and non-technical teams, fostering clear communication.
  

Analysis And Algorithm Optimization

• Conduct in-depth analysis of user interactions within our apps and user profiles to drive improvements in key personalization metrics.
• Collaborate with data scientists and engineers to refine algorithms and enhance their performance continually.
• MVP Development:
• Innovate and develop machine learning products that can be used for new production features or by downstream production algorithms.
• Work closely with cross-functional teams to prototype and operationalize personalization solutions.
  

Development Best Practices

• Maintain and establish best practices for algorithm development, testing, and deployment, ensuring high-quality code and efficient processes.
• Collaboration with Product and Business Stakeholders:
• Identify and define new personalization opportunities by collaborating with product and business stakeholders.
• Collaborate with other data teams to improve data collection, experimentation, and analysis methods.
  

Required Qualifications

• 7+ years of analytical experience
• 5+ years of experience developing machine learning models and performing data analysis with Python and tensor-based model development frameworks (e.g. PyTorch, Tensorflow)
• 5+ years writing production-level, scalable code (e.g. Python, Scala)
• 5+ years of experience developing algorithms for deployment to production systems
• In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings for recommendation engines
• In-depth understanding of the latest in natural language processing techniques and contextualized word embedding models
• Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark
• Familiarity with data exploration and data visualization tools like Tableau, Looker, etc.
• Understanding of statistical concepts (e.g., hypothesis testing, regression analysis)