Lead Data Scientist Job in Data Axle

Job Description We are looking for a Lead Data Scientist to join the Data Science Client Services team to continue our success of identifying high quality target audiences that generate profitable marketing return for our clients. We are looking for experienced data science, machine learning (ML) and ML operations practitioners to design, build and deploy impactful predictive marketing solutions that serve a wide range of verticals and clients. The right candidate will enjoy contributing to and learning from a highly talented team and working on a variety of projects. Provide ownership of design, implementation, and deployment of machine learning algorithms in a modern Python-based cloud architecture Deliver accessible and responsive code of high quality (automated build/test/deploy) Visualize and publish analytical results and insights to internal and external audiences Socialize product/project enhancements and code to team members for ongoing skillset growth, cross-training, and team efficiencies Contribute to the planning and testing of new data sources and the refinement of existing ones Adapt to changing requirements while managing expectations with a variety of internal and external stakeholders Qualifications PhD. or Masters in a quantitative/applied field (Statistics, Econometrics, Computer Science, Operations Research, Mathematics, Engineering, Physics or related) 9+ years of work experience developing and deploying ML models into production within a cloud infrastructure (AWS, GCP, Snowflake, etc.) Deep knowledge of core mathematical principles relating to data science and machine learning (Statistics, Probability, ML Theory + Best Practices, NLP, Feature Engineering, Supervised and Unsupervised ML, A/B Testing, etc.) Proven experience developing and testing various ML algorithms (neural networks, random forest, SVM, XGBoost, and the like) Working knowledge of modern CI/CD methods Proficiency in Python and SQL required Familiarity with SAS is valued, but not required Proven ability to work within a team to design and share scalable frameworks, deliver impactful solutions and ability to communicate successfully with others remotely