Data Scientist

Akkodis is seeking a Data Scientist role is a 12+ Months Contract with a client located in Arden Hills, MN. Pay Range: $65-$75/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. 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 trics. • 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. If you feel this is not something that you are currently interested in, but know of someone, that might be, please share the details with them or let me know their details so I can reach out to them! Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy. The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinance