Advanced Machine Learning Solutions
We are seeking a highly skilled Lead Data Scientist to drive the development and deployment of cutting-edge Machine Learning solutions. As a senior technical expert, you will lead cross-functional teams in designing and implementing robust ML models that deliver business value.
* Develop and deploy end-to-end Machine Learning models that solve complex business problems.
* Collaborate with data engineers to design and implement scalable data pipelines.
* Analyze large-scale datasets to identify insights and inform data-driven decision making.
* Leverage state-of-the-art ML methodologies, including deep learning and modern frameworks, to build high-impact models.
* Take ownership of key system components and influence the broader technical strategy.
* Mentor junior scientists and engineers to foster team expertise and growth.
Requirements:
* 7+ years of industry experience in applied Machine Learning.
* Master's degree or PhD in Computer Science, Machine Learning, Statistics, Operations Research, or a related field.
* 5+ years of experience building, deploying, and managing ML and deep learning models in production at scale.
* Deep understanding of ML best practices (A/B testing, pipelines, feature engineering, experiment design).
* Strong knowledge of algorithms and techniques such as gradient boosting, deep neural networks, transformers, and optimization methods.
* Expertise with Python scientific libraries (NumPy, pandas, Polars) and ML frameworks (PyTorch, TensorFlow, Keras, Scikit-Learn).
* Strong data engineering skills and comfort working with large-scale datasets.
* Experience with big data tools (Apache Beam, Kafka, Spark).
* Fluency in Python and SQL.
Benefits:
* Opportunity to work on high-impact projects that drive business results.
* Collaborative and dynamic work environment.
* Professional growth and development opportunities.