Overview
Hybrid
$65 - $70
Contract - W2
Contract - Independent
Contract - 12 month(s)
75% Travel
Skills
AWS
SQL
lambda
LLM
Machine Learning
PYSPARK
RAG
PYDANTIC
LANGRAPH
LANGCHAIN
Job Details
Job Details:
Position Title : Data Scientist
Location : Chicago, IL (Onsite)
Duration : Possible 12 Month CTC
Please Note:
Job Description:
Key Responsibilities:
Machine Learning & AI Development
Required Skills & Qualifications:
Preferred Qualifications:
Position Title : Data Scientist
Location : Chicago, IL (Onsite)
Duration : Possible 12 Month CTC
Please Note:
- The position does not provide Sponsorship; must possess work authorization in the U.S.
- C2C is available for candidates holding a valid H1B visa, and their travel history/I-94 records must be current and properly updated.
- holders and U.S. Citizens will be on a W-2.
Job Description:
- We are seeking a highly skilled Data Scientist to drive the adoption of algorithmic decision-making at scale within Group Digital. This role will focus on developing and deploying machine learning models, neural networks, support MLOps practices, to enhance personalization, and automation within our digital products.
- You will work closely with data engineers, product teams, and business stakeholders to build scalable data pipelines, CI/CD workflows, and ETL processes. The ideal candidate will have experience in retail, personalization web technologies, and cutting-edge AI methods, including Large Language Models (LLMs), Generative AI, and Knowledge Graphs.
Key Responsibilities:
Machine Learning & AI Development
- Develop and optimize predictive and prescriptive models to extract insights and enhance decision-making. Knowledgeable in supervised and unsupervised learning. Apply deep learning and neural network techniques for customer classification and profiling, customer segmentation and personalization.
- Utilize MLOps to efficiently deploy, monitor, and maintain ML models in production.
- Implement and fine-tune Large Language Models (LLMs) and Generative AI solutions for automation and user engagement.
- Explore and integrate knowledge graphs to enhance data relationships and improve AI-driven recommendations.
- Work with data engineers to design and develop robust data pipelines for large-scale ETL processing using SQL and cloud-based solutions (Google Cloud Platform preferred).
- Write complex SQL queries for extracting, transforming, and loading (ETL) data efficiently. Implement CI/CD workflows to automate model training, deployment, and monitoring.
- Work in an Agile/DevOps environment, collaborating with cross-functional teams to drive data-driven innovation.
- Promote a data-centric culture by educating teams on the strategic importance of AI and analytics.
- Clearly communicate complex methodologies, results, and business insights to both technical and non-technical audiences.
Required Skills & Qualifications:
- 8+ years of experience in Data Science, Machine Learning, or related fields.
- Strong expertise in Python, SQL, and modern ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
- Experience with MLOps tools (MLflow, Kubeflow, Airflow) for model deployment and monitoring.
- Proficiency in cloud platforms (AWS/Google Cloud Platform) and scalable data engineering.
- Strong understanding of probability theory, statistics, and experimental design (A/B Testing).
- Experience with collaborative software engineering practices (Agile, DevOps).
- Bachelor's or Master’s degree in Computer Science, Mathematics, Engineering, or related field.
Preferred Qualifications:
- Experience with Knowledge Graphs and their integration into AI/ML pipelines.
- Hands-on experience in LLMs (e.g., GPT, BERT, LLaMA, Claude) and Generative AI technologies.
- Background in Retail and Personalization Web Technologies.
- Understanding of client’s digital ecosystem and data-driven decision-making.
- Proficiency in business intelligence (BI) tools and data visualization.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.