Data Scientist

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)

Skills

Python
TensorFlow
Datamodeling.

Job Details

Role: Senior Data Scientist

Location: Alpharetta, GA (hybrid)

Duration: 12+ Month

 

Must have skills.

Python, TensorFlow , PyTorch, Spark, data analysis ,Datamodeling.

 

  • Hands-on experience with data analysis tools: Proficient in using tools such as Python and R for data manipulation, querying, and analysis. Skilled in utilizing libraries like Pandas, NumPy, and Scikit-Learn to perform in-depth data analysis and modeling.
  • Skilled in machine learning and predictive analytics: Expertise in building, training, and deploying machine learning models using frameworks such as TensorFlow and PyTorch.
  • Capable of performing tasks like regression, classification, clustering, and recommendation, leading to data-driven predictions and insights.
  • Expertise in big data technologies: Proficient in handling large datasets using big data tools such as Spark.
  • Skilled in employing distributed computing and parallel processing techniques to ensure efficient data processing, storage, and analysis, enabling enterprise-level solutions and informed decision-making

 

Required Qualifications

  • Master’s or PhD in Computer Science, Data Science, Machine Learning, AI, or related field.
  • 5+ years of hands-on experience building and deploying machine learning models in production.
  • Proven expertise with LLMs, transformer architectures, transfer learning, and model fine-tuning.
  • Strong proficiency in Python, PyTorch or TensorFlow, and ML libraries such as Transformers.
  • Experience with cloud ML platforms, containerization (Docker/Kubernetes), and MLOps tools.
  • Solid understanding of statistical modeling, optimization, and evaluation methodologies.
  • Strong communication skills and ability to collaborate in cross-functional, fast-paced environments.

 

Preferred Qualifications

  • Experience working in fintech, payments, banking, or fraud/risk environments.
  • Background in vector databases, RAG pipelines, and knowledge graph integration.
  • Experience with data privacy, model governance, and Responsible AI frameworks.
  • Contributions to open-source AI/ML communities or research publications.

 

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.