Data Scientist

Job Title: Data Scientist Location: Arden Hills, MN 55126 (Hybrid Role – 3 Days onsite) Duration: 12 Months Contract with Possible of extension Job Description: • Responsible for the initiation, design, development, execution, and implementation of data science research projects. • Receives minimal technical direction/review on broad scope or complex projects. Viewed as an expert in one or more technologies. Key Responsibilities: • Investigates the feasibility of applying scientific principles and concepts to potential technologies, processes and products. • Plans and executes research to prove feasibility of concepts. • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. • Participates in intellectual property evaluations and development of patent applications. • Consults and interacts with outside and inside experts. • May coordinate interdepartmental activities and research efforts. • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. • Mine and analyze data from company databases to drive optimization and improvement of product development, clinical marketing techniques and business strategies. • Assess the effectiveness and accuracy of new data sources and data gathering techniques. • Develop custom data models and algorithms to apply to data sets. • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. • Coordinate with different functional teams to implement models and monitor outcomes. • Develop processes and tools to monitor and analyze model performance and data accuracy. • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. • Keep our data separated and secure across national boundaries through multiple data centers and AWS regions. • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. • Work with data and analytics experts to strive for greater functionality in our data systems. Quality Systems Duties and Responsibilities: • Build Quality into all aspects of their work by maintaining compliance to all quality requirements. Qualifications: • 9+ Years with BS, 6+Years with MS. • First, real production Retrieval-Augmented Generation (RAG) and Large Language Model (LLM) engineering, not Jupyter Notebook work: someone who has shipped and operated these systems and has opinions on retrieval quality, orchestration, cost, and observability. • Second, evaluation rigor in messy, high-cardinality classification where labels overlap heavily and outputs feed regulatory workflows, which means thinking in SME agreement and error analysis rather than holdout accuracy. • Third, the ability to work fluently across clinical SMEs, Quality, and IT/Security, translating feedback into architecture and communicating tradeoffs honestly, because in post-market surveillance, over-claiming is a real risk. • We can also help provide them guidance when they start, but their experience with evaluation of RAG architecture will be key. • Expertise with Python, SQL, Vector Databases technologies in AWS /Azure Job Scope and Leveling Guidelines Functional Knowledge • Requires specialized and comprehensive technical and/or functional knowledge in own job function or field and has full understanding of other related job functions • Leverages this knowledge to recommend new and/or improved work processes, typically at an area level impacting various teams Business Expertise • Applies knowledge of business and industry best practices and how own area integrates with others to achieve objectives to drive results • Is aware of the competition and the factors that differentiate them in the market • Leadership • Acts as a resource and mentor for colleagues with less experience • May lead projects with manageable risks and resource requirements, often broader, cross-functional projects Problem Solving • Solves complex and diverse problems, takes a new perspective on existing solutions and exercises judgment based on the analysis of multiple sources of information using specialized knowledge of various alternatives and their impact on the business • Works independently within broad guidelines and policies, receives minimal guidance • Impact • Impacts the ongoing achievement of customer, operational, project/program or key business/organizational/service objectives and recommends improvements within area of responsibility Interactions (and Communications) • Explains difficult or sensitive information to facilitate productive discussion; works to build consensus • Regularly leads discussions and makes presentations in cross-functional meetings, effectively presenting information to explain recommendations and implications