Principal Data Scientist

Summary

Join Rackner, a fast-growing software consultancy, as a Principal Data Scientist to lead a team of data scientists, ML engineers, and data engineers. You will collaborate with clients, develop enterprise-scale data science initiatives, and drive the adoption of best practices in AI/ML. This senior leadership role requires expertise in statistical modeling, machine learning, and big data technologies, along with strong programming skills and experience managing large, complex projects. You will mentor and develop talent, ensuring the team has the resources to solve complex challenges and contribute to Rackner's growth in AI/ML services. The position offers a remote work option and a comprehensive benefits package.

Requirements

• Master’s or Ph.D. in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field
• 12+ years of experience in data science or a closely related field
• 8+ years designing and delivering enterprise-level data science solutions
• 5+ years managing technical teams of 10+ members
• Expertise in statistical modeling, machine learning algorithms, and AI techniques
• Strong programming skills in Python and/or R; experience with pandas, NumPy, etc
• Hands-on experience with TensorFlow, PyTorch, scikit-learn
• Deep knowledge of big data technologies (Hadoop, Spark) and data warehousing solutions
• Strong experience working with AWS services (Athena, S3, Glue, SageMaker, Comprehend)
• Familiarity with MLOps tools (e.g., MLflow, Kubeflow) and cloud-native deployment
• Proven ability to manage large, complex projects in dynamic environments
• Practical experience with Agile/Scrum methodologies and project management tools
• Strong ability to mentor, motivate, and lead high-performing teams
• Exceptional communication skills with technical and executive audiences
• Strategic thinker with excellent analytical and problem-solving abilities

Responsibilities

• Lead and grow a high-performing team of data scientists, ML engineers, solution architects, and data engineers
• Collaborate directly with clients to gather requirements and translate them into innovative solutions
• Develop and oversee enterprise-scale data science initiatives from ideation to deployment
• Drive adoption of best practices in statistical modeling, ML, AI development, and MLOps
• Act as a thought leader, guiding Rackner’s strategic growth in AI/ML service areas
• Mentor and develop talent across the organization, fostering innovation and continuous learning
• Manage development, testing, and production environments for the CDRH Analytics Platform
• Implement and maintain CI/CD pipelines for software and ML model deployment
• Ensure scalability, reliability, and performance of large-scale regulatory document processing systems
• Implement monitoring and alerting systems for platform performance and model drift
• Collaborate with FDA IT teams to ensure security and regulatory compliance
• Support management and planning initiatives for data science and AI projects

Preferred Qualifications

• Experience supporting health-related organizations (e.g., FDA, CMS, NIH, CDC, VA, Defense Health Agency)
• Familiarity with workflow management tools (Kanban, Scrum)
• Understanding of data challenges and regulations in the federal healthcare sector

Benefits

• 401(k) with 100% company match up to 6%
• Highly competitive Paid Time Off (PTO)
• Comprehensive health insurance (Medical, Dental, Vision)
• Life Insurance and Short- & Long-Term Disability coverage
• Industry-leading weekly pay schedule
• Home office and equipment reimbursement plan
• Fitness/Gym membership eligibility
• Employee swag, snacks, and company events