Data Scientist V – Ranking & Machine Learning

About the position itD is seeking a Data Scientist V to drive data-driven improvements to machine learning ranking models that power content discovery and engagement. In this role, you will analyze large-scale datasets, develop predictive models, and generate insights that influence product features and user experiences across a major social media platform. The ideal candidate will bring deep experience in data science, statistical analysis, and machine learning, along with a track record of delivering predictive models, product experiment insights, and large-scale data analysis that improves recommendation systems and user engagement. Location: Remote within the United States. (Note: Contractors may be required to transition onsite if offices fully reopen.) We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities • Analyze large-scale datasets to identify patterns, trends, and opportunities for improving ranking and recommendation models. • Develop predictive models and machine learning algorithms that enhance content recommendations and engagement signals. • Leverage computer vision techniques and feature extraction methods to evaluate image-based content and determine shareability signals. • Design and analyze product experiments, generating hypotheses and interpreting results to inform product improvements. • Collaborate with product engineers and cross-functional teams to translate analytical prototypes into scalable product features. • Investigate metric movements and performance trends for key recommendation and sharing products. • Create dashboards, visualizations, and leadership reports to communicate insights, experiment outcomes, and product performance. • Attend regular internal practice community meetings. • Collaborate with your itD practice team on industry thought leadership. • Complete client case studies and learning material (blogs, media material). • Build out material to contribute to the Digital Transformation practice. • Attend internal itD networking events (in person and virtual). • Work with leadership on career fast-track opportunities. Requirements • 10+ years of experience as a Data Scientist, including experience working with machine learning models. • Advanced proficiency in SQL and Python for large-scale data analysis and modeling. • Experience working with large datasets and performing exploratory data analysis. • Hands-on experience building machine learning models using frameworks such as PyTorch or TensorFlow. • Experience training or applying computer vision models. • Experience collaborating with cross-functional teams, including engineers and product stakeholders. • Master’s degree in Mathematics, Statistics, Computer Science, or a related technical field, or equivalent practical experience required. Nice-to-haves • PhD in a quantitative or technical discipline. • Experience working in social media or large-scale consumer technology platforms. • Experience developing predictive models for recommendation or ranking systems. • Strong background in product experimentation and A/B testing analysis. • PhD preferred. Benefits • comprehensive medical benefits • a 401k plan • paid holidays • networking & career learning and development programs Apply tot his job Apply To this Job