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
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