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Associate Data Scientist
Associate Data ScientistArcadia • Concord, NC, US
Associate Data Scientist

Associate Data Scientist

Arcadia • Concord, NC, US
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Job Description

Job Description

Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.

We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.

For more information, visit  arcadia.io .

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

  • 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.

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