Data Scientist — Entertainment AI & Insights

IMDb.com, Inc.; Seattle (WA); On-site; USD 130,000 - 180,000; Full time

Job summary

IMDb.com, Inc. in Seattle is seeking a data scientist who will frame business problems as scientific questions and choose methods accordingly.

You will manage measurement, ground truth design, evaluation, and show that models move the metrics they target. You will leverage frontier models to scale throughput, lead responsible AI practices, work with engineers to deploy models, monitor drift, and mentor teammates.

Qualifications

• 4+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 3+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• Experience applying theoretical models in an applied environment
• Knowledge of machine learning concepts and their application to reasoning and problem-solving
• Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
• Experience in a ML or data scientist role with a large technology company
• Experience working for an entertainment agency, studio, or organization

Responsibilities

• Frame loosely defined business problems as science problems, and iterate on the approach with limited guidance.
• Establish ground truth. Design the sampling, set the label quality bar, and build datasets across behavioral, text, and catalog domains.
• Define precision, recall, and coverage, and report what accuracy is achievable at what cost.
• Document failure modes, quantify the cost of each error type, and set thresholds with product and policy partners before deployment.
• Deliver methodology and analysis on medium-size projects, written so other scientists and business partners can both act on the results.
• Decide whether to train in-house, fine-tune, or call a language model, and make that call on evidence.
• Use generative AI tooling to scale your own throughput rather than only to build products.
• Ship solutions another scientist can test and reproduce.
• Partner with engineers to move models into production, then define drift monitoring and retraining triggers.
• Build deep knowledge of what the team owns, and mentor teammates on method choice.

Skills

SQL

Python

R / SAS / Matlab

Data extraction

Statistical modeling

Machine learning

Communication

Education

Bachelor's degree

Job description

IMDb.com, Inc. in Seattle is seeking a data scientist who will frame business problems as scientific questions and choose methods accordingly.

You will manage measurement, ground truth design, evaluation, and show that models move the metrics they target. You will leverage frontier models to scale throughput, lead responsible AI practices, work with engineers to deploy models, monitor drift, and mentor teammates.