We are seeking a highly skilled Ranking Data Scientist to drive innovation in machine learning models by leveraging exploratory data analysis on large, complex, and high-dimensional datasets . This role focuses on improving ranking and recommendation systems , with a strong emphasis on computer vision , experimentation, and metric-driven decision making.
The ideal candidate has hands-on experience building and evaluating predictive models , translating insights into production-ready solutions, and partnering closely with engineering and product teams to improve content ranking, engagement, and shareability.
Key ResponsibilitiesApply expertise in statistics, machine learning, data modeling, and advanced mathematics to identify patterns, opportunities, and insights that drive product improvements.
Design, develop, and evaluate predictive models and ranking algorithms to optimize content relevance and engagement.
Leverage computer vision techniques and feature extraction to identify visual signals that influence content ranking and shareability.
Perform exploratory data analysis (EDA) on large-scale datasets to inform model development and experimentation.
Generate hypotheses, design experiments, and analyze results to measure metric movement and product impact .
Partner with software and product engineers to translate prototypes into scalable, production-ready systems.
Conduct experimentation reviews and provide recommendations based on data-driven insights.
Support leadership reporting through weekly metrics, insights, and performance summaries.
Deliver ad-hoc analyses to support product, engineering, and leadership decision-making.
Identify and analyze target user segments to inform short-term and long-term product strategy.
Provide business intelligence and data visualization support , including dashboards and analytical reports.
Strong proficiency in Python and SQL .
Hands-on experience building, training, and evaluating machine learning models using PyTorch and/or TensorFlow .
Practical experience working with computer vision models (e.g., image classification, object detection, feature extraction).
Solid understanding of ranking systems, recommendation systems, and evaluation metrics .
Experience with experimentation frameworks , hypothesis testing, and A/B testing.
Ability to communicate complex technical concepts clearly through written documentation and presentations .
Experience working with large-scale datasets in production or research environments.
5+ years of experience in data science, analytics, or applied machine learning roles.
Master's degree in Mathematics, Statistics, Computer Science, or a related technical field (PhD preferred).
Experience working on content ranking, recommendation systems, or engagement optimization .
Strong background in statistics, causal inference, or experimental design .
Experience with data visualization and BI tools (e.g., Tableau, Looker, Power BI).
Familiarity with large-scale data processing frameworks .
Experience working in cross-functional product environments .
Collaborative, fast-paced environment requiring strong analytical thinking and problem-solving skills.
Opportunity to work on high-impact ranking and recommendation problems influencing user engagement and product strategy.
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