Senior Data Scientist
📍 Location: Illinois, United States(Hybrid)
🏢 Industry: IT Services and IT Consulting
💼 Work Setting: Hybrid
Are you passionate about applying Machine Learning, Natural Language Processing (NLP), and Generative AI to solve complex real-world problems? This is an exciting opportunity to work on cutting-edge AI solutions, large-scale datasets, and advanced information retrieval systems while collaborating with cross-functional teams to deliver impactful business outcomes.
As a Senior Data Scientist II, you will be responsible for designing, developing, and deploying advanced machine learning and NLP solutions. You'll work on large-scale datasets across multiple domains, leveraging traditional machine learning, deep learning, and modern AI techniques to build intelligent, scalable, and production-ready solutions.
Key Responsibilities
- Design, build, train, evaluate, and deploy machine learning models for complex business challenges
- Develop NLP and information retrieval solutions including:
- Topic Classification
- Sentiment Analysis
- Entity Extraction
- User Intent Detection
- Build and optimize scalable machine learning and NLP pipelines
- Research and implement state-of-the-art AI and deep learning models
- Evaluate emerging technologies, frameworks, APIs, and open-source AI tools
- Translate business requirements into technical solutions and project deliverables
- Collaborate with product managers, engineers, and stakeholders to solve business problems using data science
- Establish best practices for model development, deployment, monitoring, and maintenance
- Mentor junior team members and contribute to a collaborative engineering culture
Required Qualifications
- 5+ years of coding experience in Python, Java, or Scala
- Strong proficiency in Machine Learning, Statistical Modeling, and NLP
- Hands-on expertise in TensorFlow, PyTorch, Keras, or similar deep learning frameworks
- Practical experience with AWS cloud services (EC2, Lambda)
- Advanced knowledge of SQL programming and data modeling
- Proven experience building and deploying machine learning solutions at scale
- Familiarity with Spark, Elasticsearch, Solr, and Graph Databases
- Ability to mentor junior team members and provide technical leadership
Preferred Qualifications
- Experience working with Large Language Models (LLMs) and Generative AI solutions
- Knowledge of Entity Extraction, Taxonomy Management, Knowledge Graphs, and Data Enrichment
- Background working with large-scale Legal, Financial, Business, News, or Enterprise datasets
- Familiarity with MLOps frameworks, model monitoring, and experimentation platforms
- Hands-on expertise in Apache Spark, Elasticsearch, Solr, or similar search technologies
- Understanding of Graph Databases such as Neptune, JanusGraph, or equivalent platforms
- Ability to evaluate emerging AI technologies and select the most effective solution for business challenges
- Experience building and deploying scalable NLP and Information Retrieval solutions in production environments
- Proven track record of mentoring junior data scientists and contributing to technical leadership initiatives
- Exposure to cloud-based AI/ML platforms and enterprise-scale machine learning deployments