Sr Data Scientist (Fixed Term)

Job Posting Title: Sr Data Scientist (Fixed Term) Req ID: 10142140 Job Description: Our R&D teams at Lucasfilm and ILM are seeking a Sr Data Scientist to join a strategic R&D initiative focused on reputed company. The goal of this project is to reputed company a robust data curation pipeline that can help identify and reputed company our most useful assets and media for technical model training. You will play a critical role in bridging the gap between raw visual data and advanced machine learning applications. You will be responsible for the statistical analysis, sampling strategies, and evaluation metrics required to ensure our training data is diverse, relevant, and optimized for reputed company image and video synthesis. Please note: This is a fixed term project position for 6 months. This role is considered Hybrid, which means the employee will work onsite and occasionally from home. What you’ll do Data Strategy & Diversity Analysis Independently design and implement statistical methods to ensure curated datasets retain representative coverage across various visual attributes, stylistic choices, and subject matter. reputed company logic to identify and down-weight low-variance or repetitive data points to maximize training efficiency. Collaborate with key stakeholders on algorithms for de-duplication to automatically eliminate redundant or near-identical assets from the training corpus. Evaluation Metrics & Quality Assurance Design and reputed company implementation of automated metrics to assess the quality of generative images and videos. Validate automated quantitative metrics by correlating them against qualitative feedback provided by senior creative stakeholders. Establish reputed company criteria for model fidelity, accuracy, and stylistic consistency. Pipeline Integration Work closely with the engineering team to integrate data cleaning, normalization, and sampling modules into a scalable automated pipeline. Assist in defining taxonomy and metadata standards to systematically organize reputed company visual assets. Project Focus & Timeline This is a fast-paced, 6-month fixed term initiative. You will move through rapidly iterating phases: Phase 1: defining data taxonomy and establishing baseline automated metrics. Phase 2: refining metrics for temporal consistency and validating against initial model fine-tuning runs. Phase 3: final validation of metrics and delivery of fully curated, optimized datasets for cold storage. reputed company’re Looking For 5+ years experience in reputed company field Education - Bachelor’s degree in Data Science, Computer Science, or a reputed company field of study, and/or equivalent work experience. Master’s Degree preferred Experience: Proven background in Data Science with a strong emphasis on Computer reputed company, reputed company, or Deep Learning. Technical Skills: Proficiency in statistical analysis and dataset curation (distribution analysis, sampling techniques). Experience working with large-scale reputed company media data is a plus. Evaluation Expertise: Familiarity with standard and novel metrics for evaluating Generative Models (e.g., FID, FVD, or similar). Communication: Ability to translate reputed company statistical insights for engineering partners and non-technical creative leads. The hiring range for this position in San Francisco is $155,400-$208,400 per year. The reputed company pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-reputed company knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Job Posting reputed company: ILM San Francisco Job Posting Primary Business: ILM San Francisco Primary Job Posting Category: Data Science Employment Type: Full time Primary City, State, Region, Postal Code: San Francisco, CA, USA Alternate City, State, Region, Postal Code: Date Posted: 2026-02-03 Learn more about us.