Staff Data Scientist

Summary

Join Marqeta as a Staff Data Scientist and work directly with the CEO to solve critical operational challenges. This high-impact role involves building and deploying advanced models, analyzing large datasets, and translating insights into actionable recommendations for executive leadership. You will leverage your expertise in data science, machine learning, and cloud-based platforms to optimize operations and drive innovation. This flexible, remote position offers a competitive salary and comprehensive benefits package. The ideal candidate possesses strong technical skills, analytical abilities, and excellent communication skills. Marqeta is a high-growth company offering opportunities for professional development and a collaborative work environment.

Requirements

• Proficiency in programming languages such as Python, R, or Julia with a solid understanding of their syntax, data structures, and object-oriented programming
• Strong SQL skills and working knowledge of designing and implementing ETL pipelines using orchestration tools
• Experience with cloud-based data platforms (e.g., Snowflake, AWS) for large-scale data processing and storage, including tools such as Redshift, S3, BigQuery, and Dataflow
• Solid understanding of statistical methods, machine learning models, and optimization techniques
• Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, PyMC3) for building, training, and deploying models at scale
• Proven experience in developing cloud-native ML solutions, optimizing workflows, and deploying models into production environments
• Demonstrated ability to analyze complex datasets, uncover trends to solve operational challenges, and drive measurable business impact
• Proven experience designing and implementing dashboards, scaled analyses, or automated solutions that succinctly answer complex or ambiguous business questions
• Proactive and strategic problem solver who anticipates issues, thinks ahead, and delivers impactful results
• Thrives in dynamic, collaborative environments, effectively working across teams to align goals and achieve objectives
• Strong communicator with the ability to translate technical insights into actionable recommendations for diverse audiences, including executive leadership
• 6+ years of experience in data science, data engineering, or a related field
• Master’s or Advanced degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline

Responsibilities

• Build and deploy advanced models and algorithms to anticipate trends, address operational challenges, identify risks, and uncover opportunities
• Analyze large-scale payment processing data to uncover insights that improve financial outcomes, inform product development, and guide strategic decision-making
• Work directly with the CEO and Strategy & Operations team to tackle the company’s most critical operational challenges
• Translate complex data insights into clear, actionable recommendations that shape business strategy and drive organizational impact, and communicate findings to C-Suite executives to ensure alignment

Preferred Qualifications

Previous experience in a high-growth, fast-paced environment (fintech or a similar industry preferred)

Benefits

• Multiple health insurance options
• Flexible time off – take what you need
• Retirement savings program with company contribution and after tax contributions
• Equity in a publicly-traded company and an Employee Stock Purchase Program
• Family-forming benefits, fertility support, and up to 20 weeks of Parental Leave
• Free therapy sessions, financial and professional coaching, and legal advice
• Monthly stipend to support our remote work model
• Annual “development dollars” to support our people growth and development
• Through Flex First, the freedom to live and work wherever you and your family thrive
• Annual bonuses