Data Scientist/Architect - III*

OVERVIEW

We are currently seeking a highly motivated Data Scientist/Architect to join a dynamic Data & Digital Innovation organization within a commercial life sciences environment. This role focuses on building advanced analytics, machine learning, and generative AI solutions to drive data-driven decision-making across commercial functions.

The Data Scientist will play a key role in developing predictive models, Next Best Action (NBA) engines, and GenAI-powered solutions to improve customer engagement, optimize commercial strategy, and enable scalable AI-driven insights. This position offers the opportunity to work at the intersection of data science, AI innovation, and business impact in a highly collaborative, fast-paced environment.

RESPONSIBILITIES

Data Science & AI Development

• Develop and deploy predictive models for key business outcomes such as patient events and behavioral trends.

• Build and scale Next Best Action (NBA) solutions to optimize engagement strategies across multiple channels.

• Apply advanced machine learning techniques including regression, classification, clustering, and NLP.

• Design and implement multi-touch attribution models to evaluate customer journey performance.

Generative AI & Advanced Analytics

• Develop and integrate GenAI-driven solutions, including:

o Decision support agents

o Content personalization frameworks

o AI-powered interfaces for ML pipelines

• Work with large language models (LLMs) and modern GenAI frameworks.

• Implement prompt engineering, RAG architectures, and agent-based systems (e.g., LangChain or similar frameworks).

ML Engineering & Pipeline Development

• Build and maintain end-to-end ML pipelines, including data ingestion, feature engineering, model training, evaluation, and deployment.

• Implement MLOps best practices including model versioning, monitoring, and retraining pipelines.

• Support scalable deployments using cloud platforms and modern data tools.

• Collaborate with engineering teams to integrate solutions into production environments.

Business & Stakeholder Collaboration

• Partner with cross-functional teams (e.g., Sales, Marketing, Analytics) to translate business challenges into data science solutions.

• Deliver actionable insights and recommendations to stakeholders and leadership.

• Serve as a bridge between technical and business teams, ensuring adoption of AI and analytics solutions.

Data Management & Compliance

• Work with large-scale datasets including claims, EHR/EMR, CRM, and digital engagement data.

• Ensure compliance with data privacy and regulatory standards (e.g., HIPAA).

• Support data governance and quality initiatives across analytics workflows.

EXPERIENCE

• Master’s degree with 5–7+ years, or PhD with 3–5+ years of experience in data science, machine learning, or advanced analytics.

• Experience in healthcare, life sciences, or commercial analytics environments preferred.

• Strong experience developing and deploying machine learning models in production environments.

• Hands-on experience with GenAI technologies and LLM-based solutions.

• Experience working with cross-functional teams and delivering business-focused insights.

EDUCATION

• Master’s or PhD in Data Science, Computer Science, Statistics, Mathematics, Operations Research, or a related quantitative discipline required.

TO BE A BEST FIT, YOUR STRENGTHS MUST INCLUDE

Technical Expertise

• Proficiency in Python (preferred) or R, and SQL.

• Strong understanding of machine learning algorithms and statistical modeling techniques.

• Experience with LLMs, GenAI frameworks, and modern AI architectures.

• Familiarity with MLOps tools and cloud platforms (e.g., AWS, Azure, Databricks).

Analytical & Problem Solving

• Strong ability to translate complex data into actionable insights.

• Experience designing scalable solutions for real-world business challenges.

Communication & Collaboration

• Excellent communication skills with the ability to explain technical concepts to non-technical audiences.

• Strong stakeholder management and cross-functional collaboration skills.

Preferred Domain Expertise

• Experience in commercial analytics, including:

o Customer segmentation and targeting

o Campaign optimization and attribution modeling

o Customer journey analytics

• Familiarity with Next Best Action frameworks and sales analytics.

Mindset

• Strong problem-solving mindset with business acumen and attention to detail.

• Ability to thrive in a dynamic, fast-paced environment.

• Passion for applying AI/ML and GenAI to drive measurable impact.

• Full-time employees are also eligible for benefits options such as health coverage, life insurance, disability insurance, and 401k benefits.
• At Advanced Group, our commitment to diversity and inclusion in every part of our organization is crucial to fulfilling our mission and demonstrating our REAL values. Advanced Group is committed to providing employment opportunities without regard to sex, race, color, age, national origin, religion, gender identity or expression, sexual orientation or sexual preference, pregnancy or maternity, genetic information, marital status, disability, veteran status, or any other basis protected by applicable federal, state or local law.
• Advanced Group complies with federal and state disability laws and makes reasonable accommodations for applicants and candidates with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please contact [email protected].

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