Data Scientist AI/ML - Detroit, MI

Overview

On Site
$DOE
Contract - W2
Contract - of Contract

Skills

Spark
Hadoop
Snowflake
Databricks
Azure AI

Job Details

Job Title: Data Scientist AI/ML
Location: Detroit, MI
Domain: Healthcare
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.

Required experience/knowledge, skills & abilities:

  • 10+ years' work experience as 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.

Best Regards:

Jahnavi G
Phone:
Email:

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