Data Scientist

Summary

TEKsystems is a leading provider of business and technology services, and they are seeking a Data Scientist with expertise in Machine Learning and Generative AI. The role involves designing, developing, and deploying intelligent, data-driven solutions while collaborating with data engineers and business stakeholders to operationalize production-grade AI systems.

Responsibilities

• Design, develop, and deploy machine learning and generative AI models to address complex business challenges and enhance decision-making
• Implement Retrieval-Augmented Generation (RAG) and semantic search pipelines that integrate large language models with enterprise data sources
• Apply prompt engineering, embedding techniques, and model fine-tuning using frameworks such as LangChain, LlamaIndex, and Hugging Face Transformers
• Collaborate with engineering teams to ensure scalable data ingestion, ETL/ELT workflows, and model deployment across cloud environments
• Communicate technical insights and analytical results clearly to both technical and non-technical audiences
• Contribute to Agile development processes and maintain code through Git/GitHub, CI/CD automation, and infrastructure-as-code (CloudFormation or equivalent)

Skills

• 2+ years of experience in applied data science or machine learning
• At least 1 year of direct, hands-on experience developing or deploying LLMs or Generative AI systems
• Demonstrated experience with working with MLOps engineers to deploying, monitoring, and maintaining production ML models using cloud platforms
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative discipline
• 2+ years of hands-on experience with Large Language Models (LLMs) or Generative AI, such as GPT, Claude, Llama, or Mistral
• Proficiency in Python and key libraries including pandas, NumPy, scikit-learn, PyTorch, and TensorFlow
• Experience implementing RAG architectures, vector databases (e.g., Pinecone, FAISS, Weaviate), or LLM orchestration frameworks (e.g., LangChain, Semantic Kernel, CrewAI, LangGraph)
• Practical experience working with AWS services (SageMaker, Lambda, S3, RDS, etc.)
• Strong foundation in statistics, linear algebra, and optimization for model design and evaluation
• Experience creating insightful data visualizations using Tableau, Power BI, Plotly, or matplotlib
• Familiarity with big data technologies such as Spark, Databricks, or Snowflake
• Deep understanding of machine learning algorithms, data preprocessing, and model evaluation techniques
• Strong problem-solving abilities with a focus on reproducibility, scalability, and model governance
• Excellent communication skills, with the ability to translate complex analytical findings into actionable business insights
• Demonstrated curiosity and enthusiasm for staying current with advances in AI, Generative AI, and ML infrastructure
• Proven ability to work effectively in Agile and cross-functional team environments

Qualifications

Must Haves

• 2+ years of experience in applied data science or machine learning
• At least 1 year of direct, hands-on experience developing or deploying LLMs or Generative AI systems
• Demonstrated experience with working with MLOps engineers to deploying, monitoring, and maintaining production ML models using cloud platforms
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative discipline

Nice to Haves

• 2+ years of hands-on experience with Large Language Models (LLMs) or Generative AI, such as GPT, Claude, Llama, or Mistral
• Proficiency in Python and key libraries including pandas, NumPy, scikit-learn, PyTorch, and TensorFlow
• Experience implementing RAG architectures, vector databases (e.g., Pinecone, FAISS, Weaviate), or LLM orchestration frameworks (e.g., LangChain, Semantic Kernel, CrewAI, LangGraph)
• Practical experience working with AWS services (SageMaker, Lambda, S3, RDS, etc.)
• Strong foundation in statistics, linear algebra, and optimization for model design and evaluation
• Experience creating insightful data visualizations using Tableau, Power BI, Plotly, or matplotlib
• Familiarity with big data technologies such as Spark, Databricks, or Snowflake
• Deep understanding of machine learning algorithms, data preprocessing, and model evaluation techniques
• Strong problem-solving abilities with a focus on reproducibility, scalability, and model governance
• Excellent communication skills, with the ability to translate complex analytical findings into actionable business insights
• Demonstrated curiosity and enthusiasm for staying current with advances in AI, Generative AI, and ML infrastructure
• Proven ability to work effectively in Agile and cross-functional team environments

Benefits

• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)