We are looking for Data Scientist for our client in Saint Paul, MN
Job Title: Data Scientist
Job Location: Saint Paul, MN
Job Type: Contract
Job Overview:
Responsibilities:
- Investigate the feasibility of applying scientific principles to technologies, processes, and products.
- Plan and execute research initiatives to validate concepts and solutions.
- Build analytics tools leveraging data pipelines to deliver actionable insights on customer acquisition, operational efficiency, and business performance.
- Participate in intellectual property evaluations and support patent development activities.
- Collaborate with internal and external subject matter experts to enhance research outcomes.
- Partner with stakeholders across the organization to identify data-driven business opportunities.
- Mine and analyze large datasets to optimize product development, clinical marketing, and business strategies.
- Evaluate the effectiveness and accuracy of new data sources and data collection methodologies.
- Develop and deploy custom data models, algorithms, and predictive analytics solutions.
- Implement predictive modeling techniques to optimize customer experience, revenue generation, and targeting strategies.
- Collaborate with cross-functional teams to deploy models and monitor performance outcomes.
- Develop tools and processes to track model performance, data accuracy, and system reliability.
- Support data infrastructure needs and resolve data-related technical challenges.
- Ensure data security and compliance across multiple data centers and cloud environments (AWS/Azure).
- Build and enhance tools for analytics and data science teams to improve productivity and innovation.
- Collaborate with data and analytics teams to continuously improve system capabilities.
- Ensure adherence to quality systems and compliance requirements in all deliverables.
Qualifications:
- Bachelor s degree with 9+ years of experience, or Master s degree with 6+ years of experience.
- Proven experience building and deploying production-grade Retrieval-Augmented Generation (RAG) and Large Language Model (LLM) systems.
- Strong expertise in evaluating retrieval quality, orchestration, cost optimization, and observability for AI systems.
- Experience in complex classification problems with overlapping labels and regulatory implications.
- Ability to work with cross-functional stakeholders including clinical SMEs, Quality, and IT/Security teams.
- Strong programming skills in Python and SQL.
- Experience with vector databases and cloud platforms such as AWS or Azure.
Skills:
- Advanced analytical and problem-solving capabilities.
- Strong understanding of data modeling, machine learning, and AI system design.
- Experience with data pipelines, ETL processes, and large-scale data processing.
- Ability to translate complex technical concepts into business insights.
- Strong communication and stakeholder management skills.
- Expertise in model evaluation, error analysis, and performance optimization.
Functional Knowledge:
- Comprehensive technical expertise in data science, machine learning, and analytics.
- Ability to recommend and implement improved processes across teams.
Business Expertise:
- Strong understanding of industry best practices and business integration of data solutions.
- Ability to drive business outcomes through data-driven strategies.
Leadership:
- Mentor junior team members and provide technical guidance.
- Lead cross-functional projects with moderate complexity and risk.
Problem Solving:
- Solve complex problems using advanced analytical techniques and innovative approaches.
- Apply critical thinking to evaluate multiple data sources and solutions.
Impact:
- Drive improvements in business performance, operational efficiency, and customer outcomes.
- Influence key organizational objectives through data-driven insights.
Interactions And Communication:
- Communicate complex insights clearly to both technical and non-technical stakeholders.
- Lead discussions and presentations to align cross-functional teams and drive decision-making.