OneMagnify is looking to solve complex business problems by leveraging advanced analytics, predictive modeling, and machine learning to drive smarter marketing and business decisions. The Lead Data Scientist will bridge strategy and execution, translating business problems into analytically sound solutions and ensuring technical excellence, timely delivery, and cross-functional collaboration.
Requirements
- Strong programming skills in Python, R, or SAS for modeling and data analysis
- Advanced SQL capabilities and experience working in cloud-based environments (e.g., Azure, AWS)
- Hands-on experience with Databricks, Azure Machine Learning, and Snowflake strongly preferred
- Expertise in regression, classification, clustering, A/B testing, and audience segmentation
- Proficiency with Tableau, Power BI, and Excel for data visualization and communication
- Experience leading all aspects of sophisticated data science initiatives with a solid foundation in technical strategy and execution
- Experience applying the modeling rigor and documentation standards required in regulated industries such as financial services is a strong plus
Responsibilities
- Lead the design, development, and deployment of statistical models, machine learning algorithms, and custom analytics solutions
- Guide the development of production-level model pipelines using tools such as Databricks and Azure ML
- Collaborate with engineering, marketing, and strategic partners to integrate models into real-world applications
- Monitor and improve model performance, ensuring high standards for reliability and business relevance
- Present complex analytical results to technical and non-technical audiences in a clear, actionable format
- Support innovation by identifying new tools, methods, and data sources—including the use of Snowflake for modern data architecture
- Promote best practices in model governance, data ethics, and responsible AI
Other
- Collaborate consistently with team members to understand the purpose, focus, and objectives of each data analysis project, ensuring alignment and meaningful support
- Translate client goals into clear modeling strategies, project plans, and deliverables
- Strong communication skills and the ability to translate complex technical findings into business insight
- Bachelor’s degree in Data Science, Statistics, Computer Science, or a related quantitative field (Master’s preferred)
- Minimum 5-7 years of experience in data science, analytics, or predictive modeling
