Principal Data Engineer, Machine Learning

Who We Are:

SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country.

We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values:

• Integrity: Always operate with honesty and transparency so we earn the trust of our clients.
• Courage: Demonstrate the courage needed to take on a broken industry and continuously improve what we offer to optimize health outcomes.
• Together: Foster a collaborative and inclusive environment that values teamwork, respect, and open communication, and encourages creativity and diversity of thought.
  
  

Job Summary:

SmithRx is leading the transformation of pharmacy benefit management (PBM) with a cutting-edge platform that delivers real-time insights, cost efficiencies, and exceptional customer experiences. As we continue to expand, we are seeking an experienced Principal Machine Learning engineer with expertise in data engineering and AI/ML. In this key role, you will take ownership of driving ML innovation and leading the technology strategy for modern data platforms. A minimum of 5 years of experience in machine learning (ML) development, with proven success in leading ML initiatives, is required. You will collaborate with cross-functional leaders to deliver impactful ML/AI solutions that directly influence our business outcomes.

What you will do:

• Develop strategies across the entire AI/ML project lifecycle. This includes seamless integration with data platforms, spanning from problem definition and data preparation to model deployment and performance monitoring.
• Design, develop, and deploy machine learning models that drive anomaly detection, and predictive insights, leveraging data from our enterprise data warehouse ecosystems.
• Build data pipelines and ensure scalable, efficient ML pipelines and workflows for the entire model lifecycle, from problem definition and data preparation to model deployment and monitoring.
• Maintain a focus on data quality, security, and compliance in all AI/ML initiatives, particularly within healthcare.
• Provide technical leadership, mentoring, and guidance to team members, establishing and enforcing best practices in data engineering and data science.
• Collaborate with product managers, data engineers, and engineer leadership to define use cases and integrate AI models and algorithms into existing systems and applications.
  
  

What you will bring to SmithRx:

• BS, MS, or PhD in Computer Science, Information Systems, or a related field, with 12 years of experience in data engineering, data science, or a similar role.
• Strong expertise in data architecture, database design, and optimization, with experience in OLTP, OLAP, NoSQL, and cloud-based data warehouses (e.g., AWS Snowflake, PostgresDB, DymanoDB, etc ).
• Proficiency in programming languages such as Python, and SQL, and tools like Spark, PySpark, Airflow, DBT, Snowflake, Cortext, OpenAI, and Terraform.
• Proficiency in machine learning frameworks and libraries such as TensorFlow, scikit-learn, or PyTorch, with hands-on experience in building and deploying machine learning models in production. Track records in developing and deploying ML models, preferably within the healthcare or related industries.
• Ability to lead cross-functional teams, influence stakeholders, and manage complex projects in a fast-paced environment.
• Strong analytical and problem-solving skills, with the ability to handle evolving requirements and ambiguous challenges.
• Excellent communication and presentation skills, capable of conveying complex technical concepts to both technical and non-technical audiences.
  
  

If you're a seasoned data engineer with a passion for innovation and a desire to lead cutting-edge projects at the intersection of data engineering and data science, we'd love to hear from you. Apply with your resume and cover letter to join the SmithRx team!

What SmithRx Offers You:

• Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance
• Flexible Spending Benefits
• 401(k) Retirement Savings Program
• Short-term and long-term disability
• Discretionary Paid Time Off
• 12 Paid Holidays
• Wellness Benefits
• Commuter Benefits
• Paid Parental Leave benefits
• Employee Assistance Program (EAP)
• Well-stocked kitchen in office locations
• Professional development and training opportunities