Senior Lead Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

Pluto TV, a ViacomCBS company, is the leading free streaming television service in America, delivering 250+ live and original channels and thousands of on-demand movies in partnership with major TV networks, movie studios, publishers, and digital media companies. Pluto TV is available on all mobile, web and connected TV streaming devices and millions of viewers tune in each month to watch premium news, TV shows, movies, sports, lifestyle, and trending digital series. Headquartered in West Hollywood, Pluto TV has offices in New York, Silicon Valley, Chicago and Berlin.

=Remote work option available=

Summary 

Pluto TV is seeking a Sr. Data Scientist who will be responsible for using their expertise in advanced analytics and predictive modeling to answer business questions and enable our organization to make data driven decisions from our streaming media platform. The ideal candidate will design and build end-to-end data science solutions within a cloud-based analytics infrastructure, transforming the insights into actionable endpoints, carrying the data science solution to production, managing the publication of the endpoints for downstream consumption, and communicating the results to stakeholders across all levels. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights.

Responsibilities:

• Conduct deep analysis and conduct model selection for ML and analytic insights, including but not limited to: consumer behavior, content affinity, media attribution, etc.
• Analyze patterns in big data for optimization, anomaly detection, MLOps
• Develop and evangelize best practices for scoping, building, validating, deploying, and monitoring data science models

Qualifications:

• 4+ years of work experience in Machine Learning, AI and Data Science with a proven track record to drive innovation and business impacts
• Strong machine learning, deep learning, operations research, and statistical modeling expertise, such as causal inference modeling, ensembles, neural networks, reinforcement learning, and NLP
• Proficiency in machine learning and deep learning languages and platforms (Python, R, TensorFlow, Databricks etc.)
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.)
• Advanced knowledge of SQL and experience with big data platforms (AWS, Snowflake, Spark, etc.)
• Graduate degree in Computer Science, Mathematics, Physics, Engineering, Statistics, Operations Research, or other equivalent quantitative fields (Ph.D. preferred)