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rly 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
Bachelor's degree in a relevant field such as Data Science, Statistics, Computer Science, or a related discipline
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
About Arcadia
Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website .
Protect Yourself
If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website .
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.