Data Scientist IV

3 weeks ago


Chicago, United States Robert Half Full time
Job DescriptionJob DescriptionWe are offering a permanent employment opportunity for a Data Scientist IV in Chicago, Illinois. This role involves working in an industry that heavily utilizes data science and machine learning technologies. You will be expected to apply your skills in a remote work setting, with strong preference for candidates based in the Midwest for cost considerations.

Responsibilities:

• Utilize Python and its associated libraries to handle various data science tasks.
• Employ SQL for database management and data manipulation purposes.
• Develop and implement machine learning models such as Random Forest, KNN, and Time Series Forecasting.
• Work with neural network architectures, including Transformers, ANN, BERT, GPT models, and open source foundational models like LLama2/3.
• Use mlFlow for machine learning lifecycle management.
• Leverage cloud-based machine learning managed services, specifically Azure OpenAI and Azure ML, though familiarity with AWS/GCP is also valued.
• Work with vector databases and LM/LLM/GEN-AI based tools, libraries, and frameworks such as LangChain, Agentic, Semantic Kernel.
• Evaluate the performance of ML/DL/LLM systems and handle any drift issues.
• (Optional) Experience with PySpark/Databricks and Elasticsearch, along with AI component integrations, is a plus.
• Demonstrate excellent communication and presentation skills, work well within a team, and show a high level of self-motivation.
• Take LLM-based systems or Neural Network-based systems or mixture of experts-based systems to production.• Strong communication skills to effectively convey complex data findings to team members and stakeholders
• Proficiency in database management and integration for seamless data handling
• Ability to create and deliver presentations to various audiences, showcasing data insights and solutions
• Experience in production environments, ensuring smooth operation and maintenance of data systems
• Engineering background for understanding and designing data models and structures
• Expertise in SQL and Python for data manipulation and analysis
• Familiarity with Cloud Technologies such as Microsoft Azure and AWS Technologies for scalable data storage and processing
• Experience in component selection and integration within various libraries and frameworks
• Solid understanding of statistics and mathematics for advanced data analysis
• Degree in Computer Sciences or a related field
• Knowledge of Artificial Intelligence (AI) and Machine Learning techniques, including Neural Nets and Random Forest algorithms
• Experience with Elasticsearch Technologies for efficient data searching and analytics
• Ability to manage services and coordinate with different teams for project completion
• Proficiency in PySpark for distributed data processing
• Understanding of LLM (Latent Logistic Markov) model for sequence prediction tasks.
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