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Junior Data Scientist - Job Opportunity at Peerlogic

Scottsdale, United States
Full-time
Entry-level
Posted: June 17, 2025
On-site
Based on the entry-level to junior positioning in Scottsdale, Arizona, and the specialized AI/healthcare SaaS focus, the salary range likely falls between $65,000-$85,000 annually. The structured progression reviews at 3, 6, and 12 months suggest potential for rapid salary increases, possibly reaching $90,000-$100,000 within the first year for high performers. The equity component adds significant value given the company's growth trajectory in the expanding healthcare AI market.

Benefits

Competitive compensation package with equity participation providing ownership stake in a growing AI healthcare company
Structured salary progression reviews at 3, 6, and 12 months offering accelerated earning potential based on performance
In-office mentorship program providing direct access to senior talent and accelerated professional development
Fast feedback loops and close collaboration environment enabling rapid skill development and career advancement

Key Responsibilities

Architect and enhance critical product features using LangGraph multi-agent orchestration systems that directly impact patient-provider communication across thousands of healthcare practices
Lead production system performance monitoring and behavior analysis ensuring optimal AI agent functionality for real-time patient engagement
Drive strategic bug investigation and regression analysis through advanced data analytics to maintain system reliability and user satisfaction
Identify and recommend high-impact automation opportunities that scale AI capabilities across the healthcare network
Collaborate as a key contributor in cross-functional agile teams with engineers, designers, and product managers to deliver mission-critical features
Deliver enterprise-grade solutions that directly enhance patient experiences and operational efficiency for healthcare providers

Requirements

Education

Master's degree in Data Science, Computer Science, AI, or related field preferred

Experience

Equivalent hands-on experience in applied analytics or data-driven product work also considered

Required Skills

Strong Python skills (pandas, NumPy, seaborn, matplotlib) working knowledge of SQL Comfortable working with production data debugging with metrics making actionable recommendations Experience with agile development and cross-functional collaboration Familiarity with LangGraph, LangChain, or AI orchestration tools is a plus Exceptional communication and a bias toward execution and product delivery
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Sauge AI Market Intelligence

Industry Trends

The healthcare AI market is experiencing unprecedented growth with conversational AI and patient engagement platforms becoming critical infrastructure for medical practices. The integration of multi-agent systems in healthcare represents a paradigm shift toward autonomous, intelligent patient communication systems that can handle complex interactions without human intervention. Healthcare SaaS companies are increasingly focusing on front-office automation as practices struggle with staffing shortages and rising operational costs. The demand for AI-powered solutions that can convert patient interactions into revenue opportunities is driving significant investment and innovation in this sector. The emergence of LangGraph and advanced AI orchestration tools is revolutionizing how healthcare technology companies build and deploy conversational AI systems. This technology stack is becoming the standard for companies building sophisticated multi-agent systems that can scale across thousands of healthcare practices simultaneously.

Role Significance

Based on the company's stage and the collaborative nature described, this role likely involves working within a lean data science team of 3-5 members, with close integration into larger engineering and product teams of 15-25 people. The mentorship emphasis suggests a team structure designed for rapid knowledge transfer and skill development.
This role represents an entry-level position with significant growth potential and immediate impact responsibilities. Despite the junior title, the role involves ownership of critical production systems and direct collaboration with senior engineering teams, indicating a high-responsibility position with accelerated learning opportunities.

Key Projects

Development and optimization of multi-agent AI systems for patient communication automation Implementation of real-time analytics dashboards for monitoring AI agent performance across healthcare practices Creation of data-driven feature enhancements that improve patient engagement and revenue conversion Design and deployment of automated monitoring systems for production AI agents serving thousands of healthcare practices

Success Factors

Ability to rapidly adapt to the unique challenges of healthcare data and regulatory requirements while maintaining high standards for patient privacy and data security Strong technical execution combined with business acumen to understand how data science improvements translate to tangible outcomes for healthcare practices and patient experiences Excellent communication skills to effectively collaborate with cross-functional teams and translate complex technical findings into actionable business recommendations Demonstrated bias toward shipping and iterating on real products rather than pursuing research for its own sake, with focus on measurable impact on user experiences

Market Demand

Very High - The intersection of data science, healthcare AI, and multi-agent systems represents one of the fastest-growing segments in the technology job market. Companies are competing intensively for talent that can bridge data science expertise with practical AI implementation in healthcare settings.

Important Skills

Critical Skills

Python proficiency with data science libraries is absolutely essential as it forms the foundation for all data analysis, feature development, and system monitoring tasks. The specific mention of pandas, NumPy, seaborn, and matplotlib indicates daily use of these tools for data manipulation, analysis, and visualization. SQL knowledge is critical for accessing and analyzing production data from healthcare systems, enabling the investigation of bugs, performance monitoring, and feature enhancement work that directly impacts thousands of healthcare practices. Production data experience is vital because this role involves working with live systems serving real patients, requiring the ability to debug issues, monitor performance, and make recommendations that affect actual healthcare operations.

Beneficial Skills

LangGraph and LangChain experience provides significant advantage as these are the specific technologies used for multi-agent orchestration, making candidates with this background immediately productive and valuable to the team Healthcare domain knowledge, while not explicitly required, would be extremely valuable for understanding the unique challenges, regulations, and workflows of dental and veterinary practices Agile development experience enhances effectiveness in the cross-functional team environment and helps with the fast-paced product delivery expectations outlined in the role

Unique Aspects

Direct involvement in building and scaling multi-agent AI systems that serve thousands of healthcare practices, providing exposure to enterprise-scale AI deployment challenges
Opportunity to work with cutting-edge LangGraph and AI orchestration technologies that are at the forefront of conversational AI development
Immediate impact on real patient experiences and healthcare outcomes, offering meaningful work that directly improves healthcare delivery
Structured career progression with defined review periods and equity participation, providing clear advancement pathways and financial upside potential

Career Growth

Given the structured progression reviews and fast-paced environment, advancement to senior-level positions typically occurs within 18-24 months for high performers. The rapid growth of the healthcare AI sector and the company's ambitious goals suggest accelerated career progression opportunities compared to traditional corporate environments.

Potential Next Roles

Senior Data Scientist specializing in healthcare AI and multi-agent systems Data Science Team Lead managing junior data scientists and coordinating cross-functional AI initiatives Product Manager for AI/ML products in healthcare technology companies Principal Data Scientist focusing on AI orchestration and large-scale healthcare system optimization

Company Overview

Peerlogic

Peerlogic operates in the rapidly expanding healthcare AI market, focusing specifically on dental and veterinary practice operations. The company has developed a conversational AI assistant named Aimee that transforms patient phone interactions into revenue opportunities, positioning itself as a specialized player in the healthcare SaaS ecosystem with a clear focus on front-office automation.

As a growing player in the healthcare AI space with ambitious goals to support one million patients by 2025, Peerlogic appears to be in a strong growth phase with significant market opportunity ahead. The company's focus on dental and veterinary practices represents a underserved niche with substantial potential for expansion and market capture.
The Scottsdale, Arizona location positions the company within a growing technology hub that offers lower costs than traditional tech centers while maintaining access to talent and investment. The on-site requirement suggests a company culture that values in-person collaboration and mentorship, which can be advantageous for early-career professionals.
The emphasis on in-office mentorship, fast feedback loops, and close collaboration with senior talent suggests a culture focused on rapid professional development and hands-on learning. The agile, fast-paced environment with direct impact on real users indicates a results-oriented culture that values execution and measurable outcomes over theoretical research.
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