Associate Data Scientist

Job Description:

Why This Role Is Important to Arcadia

The Associate Data Scientist will join Arcadia’s Data Science team as a key contributor to the development of machine learning models, customer-facing deliverables, and strategic insights that support data-driven decision-making across the organization. This role reports to the Senior Director of AI and Predictive Modeling and represents a pivotal step in the evolution of Arcadia’s machine learning initiatives.

The ideal candidate will bring experience in machine learning techniques, statistical analysis, and healthcare data—particularly in value-based care models. A strong desire to continuously learn and adapt is essential. Effective communication is critical, as this role involves working cross-functionally, engaging with clients, and translating complex technical concepts for both subject matter experts and non-technical stakeholders.

What Success Looks Like

In 3 months- Gain a solid understanding of Arcadia’s data model, ingestion workflows, and machine learning deployment processes- Become proficient with the team’s core data tools, including Redshift, Athena, S3, SageMaker, and dbt- Deliver initial analytics and insights that showcase measurable value to customers

In 6 months- Establish yourself as a subject matter expert on Arcadia’s analytics platform and methodologies - Proactively engage with customers to understand their data needs and identify opportunities for model improvements - Design and develop machine learning models that generate meaningful business value and strengthen client trust in Arcadia

In 12 months- Be recognized as a go-to resource for machine learning expertise across the company- Lead cross-functional initiatives to enhance analytics workflows and improve data accessibility and usability- Drive multiple concurrent projects in collaboration with client stakeholders, consistently delivering expert guidance and impactful results

What You'll Be Doing

• Manage and execute projects across a diverse customer portfolio, ensuring timely and high-quality deliverables
• Design and develop machine learning models for both internal initiatives and client-specific use cases
• Evaluate and monitor model performance, ensuring accuracy, reliability, and alignment with business objectives
• Present findings, methodologies, and insights to clients in a clear and compelling manner

What You'll Bring

• 1+ years experience working with healthcare data, including familiarity with claims, clinical, or operational datasets
• 1+ years demonstrated experience in developing and deploying machine learning models in real-world applications

Would Love For You To Have

• Strong analytical and problem-solving mindset, with attention to detail and a passion for data-driven decision-making
• Eagerness to learn and adapt in a fast-paced, evolving environment
• Excellent communication and collaboration skills, with the ability to work cross-functionally and engage with both technical and non-technical stakeholders
• Customer-focused, with a proactive attitude toward identifying opportunities and delivering value
• Proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, NumPy, etc.)
• Experience with SQL and working with large-scale relational databases
• Familiarity with cloud-based data tools such as Redshift, Athena, S3, SageMaker, and Github
• Knowledge of machine learning model evaluation, performance tuning, and deployment best practices

What You'll Get

• The opportunity to analyze large and diverse data set on Arcadia’s custom data platform
• Support a wide variety of customers in the healthcare space
• A collaborative team with decades of collective experience
• Competitive compensation, benefits, and flexible time off
• Be a part of a mission driven company that is transforming the healthcare industry by changing the way patients receive care
• A flexible, remote friendly company with personality and heart
• Employee driven programs and initiatives for personal and professional development