Data Scientist

About DrFirst For 25 years, DrFirst has empowered providers and patients to achieve better health through intelligent medication management. We improve healthcare workflows and help patients start and stay on therapy with end-to-end solutions that enhance prescription access, affordability, and adherence. Our solutions help 100 million patients a year and are used by more than 420,000 prescribers, 71,000 pharmacies, 270 EHRs and health information systems, and over 2,000 hospitals in the U.S. This is a great opportunity to be a part of a successful Healthcare IT company experiencing significant growth. Here you'll get to work with some of the smartest and most interesting people around; solving unique and complex challenges in healthcare on a scale matched by a few companies. If you get excited about stretching yourself in new ways, developing yourself to your fullest potential, care about working with smart colleagues; we want to talk to you! Position Overview We are seeking a collaborative and curious Data Scientist to join our team. The ideal candidate will combine strong technical expertise with excellent communication skills and a passion for continuous learning. You'll work on end-to-end data science projects, from model development to deployment and maintenance. Your Mission: Revolutionize patient access to therapy. The Challenge: Navigating the complex world of healthcare bureaucracy often involves completing non-standardized forms with over 100,000 free-text questions. This process creates a significant barrier for patients seeking timely treatment. Your Role: Lead a cross-functional team to develop an AI-powered solution that breaks down these barriers. You'll leverage cutting-edge technologies, including LLMs from Google and Anthropic, to analyze patient information and automatically generate accurate responses to these complex forms. What You Will Work On

• Develop and implement statistical models and machine learning algorithms to solve business problems
• Maintain and optimize data pipelines
• Communicate complex analytical findings to both technical and non-technical stakeholders through clear presentations, reports, and visualizations
• Deploy models into production environments and maintain their performance over time
• Collaborate closely with DevOps and engineering teams to integrate data science solutions into existing systems and infrastructure
• Work with cross-functional teams to understand business requirements and translate them into analytical solutions
• Stay current with emerging data science techniques and tools, continuously expanding your skill set
• Monitor model performance and iterate on solutions based on feedback and changing business needs
• Document methodologies and findings to enable knowledge sharing across the team

Qualifications

• 1-2 years of professional experience as a Data Scientist or in a related analytical role
• Strong foundation in mathematics, statistics, computer science, or other quantitative science discipline
• Proficiency in statistical analysis and hypothesis testing
• Experience with machine learning modeling techniques (regression, classification, clustering, etc.)
• Hands-on experience with MLOps practices including model deployment, monitoring, and maintenance
• Programming skills in Python, with experience in relevant libraries (scikit-learn, pandas, numpy, etc.)
• Experience with data visualization tools and techniques
• Excellent written and verbal communication skills with the ability to explain technical concepts to diverse audiences
• Demonstrated ability to learn new technologies and methodologies quickly
• Experience with version control systems (Git) and collaborative development practices

Preferred Qualifications

• Experience with cloud platforms (AWS, GCP) and containerization technologies
• Understanding of CI/CD pipelines and software engineering best practices
• Experience working in collaborative development environments with engineering teams
• Familiarity with big data tools and distributed computing frameworks
• Experience with A/B testing and experimental design
• Knowledge of database systems and SQL

Physical Requirements

• 10% Travel
• 70% Desk work
• 20% Phone work

What We're Looking For We value team members who can bridge the gap between complex data science concepts and practical business applications while working seamlessly with engineering teams. You should be comfortable presenting your work to stakeholders, collaborating on technical implementations with DevOps and software engineers, and eager to learn from feedback across disciplines. We're looking for someone who sees challenges as learning opportunities and can adapt their communication style to different audiences, from business stakeholders to technical engineering teams. Growth Opportunities This role offers significant opportunities for professional development, including exposure to cutting-edge data science techniques, mentorship from senior team members, and the chance to work on diverse projects across multiple business domains. We encourage continuous learning through conference attendance, online courses, and internal knowledge sharing sessions. Benefits

• Competitive compensation, with a base salary of $100,000 - $120,000 (Exact compensation may vary based on skills and experience)
• Eligible for a Discretionary Performance-based bonus
• Medical, dental, and vision insurance
• 401K eligible after 3 months of employment, with 50% company match up to first 5% of salary contributed to the plan with a 3-year vesting schedule
• HSA for eligible employees enrolled in the HDHP, with a generous company contribution up to $500 for individual coverage and $1000 for family coverage per year
• 100% company paid short and long-term disability, AD&D, and group life insurance
• Accrued annual paid time off (PTO) of 18 days for the first 3 years of service, increasing thereafter and 7 paid holiday days
• Employee Assistance Program
• Continuing Education funds up to $1500 annually for eligible programs after 1 year of service
• Voluntary benefits including FSA, Hospital indemnity, Accident and Critical Illness insurances

DrFirst is committed to being a Remote-First company, creating a dynamic and flexible workplace where everyone can thrive, no matter where they log in from. Check out our approach to remote work https://drfirst.com/company/about-us/careers/ . Our recruitment process at DrFirst is straightforward and secure. You will only be contacted by our recruitment team through an official @drfirst.com email address. We will never ask you for payment or sensitive personal information, such as your social security number or banking details, at any stage of the hiring process. Additionally, we will not request that you purchase equipment or accept e-checks or checks for deposit. If you encounter any communications claiming to be from DrFirst that seem suspicious, please contact our recruitment team directly atrecruiter@drfirst.com to verify the message's authenticity. Your security is important to us! Learn more about our benefits and professional development opportunities https://drfirst.com/company/about-us/careers/the-perks/ .