Senior Data Scientist

4+ years of professional experience building and deploying machine learning models. PhD in Computer Science, Engineering, Machine Learning, Statistics, or a related quantitative field, OR a Master's degree and 4+ years of relevant experience. Strong programming proficiency in Python, Java, or C++. Deep expertise in algorithms, data structures, numerical optimization, data mining, and distributed computing (e.g., Spark, Hadoop). Experience with ML frameworks and libraries (e.g., PyTorch, TensorFlow, Scikit-learn). Proven ability to translate business problems into mathematical and ML frameworks.

Lead the design, development, and deployment of high-impact machine learning models into production. Drive complex ML projects from research to large-scale deployment, collaborating with software engineering teams. Design and execute online A/B experiments to test hypotheses and measure model performance. Perform hands-on analysis and modeling of complex data sets to identify predictive signals. Establish scalable, efficient, and automated processes for ML model development and serving. Communicate complex findings and product vision to stakeholders, influencing the roadmap.