Note: The job is a remote job and is open to candidates in USA. OneMagnify is an AI native, platform-enabled B2B digital agency that specializes in data, technology, and creativity. The Lead Data Scientist will be responsible for leading end-to-end data science projects, translating complex business problems into analytical solutions, and collaborating with various stakeholders to deliver impactful data-driven outcomes.

Responsibilities

• Lead the design, development, and deployment of statistical models, machine learning algorithms, and custom analytics solutions
• 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
• 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

Skills

• Minimum 5-7 years of experience in data science, analytics, or predictive modeling
• Experience leading all aspects of sophisticated data science initiatives with a solid foundation in technical strategy and execution
• 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
• Experience applying the modeling rigor and documentation standards required in regulated industries such as financial services is a strong plus
• Expertise in regression, classification, clustering, A/B testing, and audience segmentation
• Proficiency with Tableau, Power BI, and Excel for data visualization and communication
• 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)
• Hands-on experience with Databricks, Azure Machine Learning, and Snowflake strongly preferred
• Experience applying the modeling rigor and documentation standards required in regulated industries such as financial services is a strong plus
• Experience in integrated marketing, digital agency, marketing services, or consulting environments preferred

Benefits

• Medical, dental, and vision coverage
• A 401(k) retirement plan
• Paid holidays
• Flexible Time Off (FTO) so you can take time away to recharge when you need it
• Additional programs focused on wellness, financial security, and professional growth

Company Overview

Company H1B Sponsorship