Data Scientist AI/ML - Bentonville, AR

Job Title: Data Scientist AI/ML
Location: Bentonville, AR
Domain: Finance
Long Term Contract
Looking for W2 Candidates. No C2C

Job Summary:

• Responsible for overseeing data science projects, managing and mentoring a team, and aligning data initiatives with business goals. Lead the development and implementation of data models, collaborate with cross-functional teams, and stay updated on industry trends.
• Ensure ethical data use and communicate complex technical concepts to non-technical stakeholders. Lead initiatives on model governance and model ops to align with regulatory and security requirements.
• This role requires technical expertise, strategic thinking, and leadership to drive data-driven decision-making within the organization and be the pioneer on generative AI healthcare solutions, aimed at revolutionizing healthcare operations as well as enhancing member experience.
  

Job Qualifications:

• Experience in a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered
• Knowledge of big data technologies (e.g., Hadoop, Spark)
• Familiar with relational database concepts, and SDLC concepts
• Demonstrate critical thinking and the ability to bring order to unstructured problems
• Technical Proficiency: Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch.
• Statistical Analysis: Excellent understanding of statistical methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks.
• Experience with Agentic Workflows: Familiarity with designing and implementing agentic workflows that leverage AI agents for autonomous operations.
• RAG Techniques: Knowledge of retrieval-augmented generation techniques and their application in enhancing AI model outputs.
• Model Fine-Tuning Expertise: Proven experience in fine-tuning models for specific tasks, ensuring they meet the required performance metrics.
• Data Visualization: Proficiency in data visualization tools (e.g., Tableau, Power BI) to present complex data insights effectively.
• Database Management: Experience with SQL and NoSQL databases, data warehousing, and ETL processes.
• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex challenges.

Preferred Experience:

• Experience with cloud platforms (e.g., Databricks, Snowflake, Azure AI Studio etc.) for working with AI workflows and deploying models.
• Familiarity with natural language processing (NLP) and computer vision techniques.